You can date the lessons. The pivot in early 2019, when the tape broke on too much tightening and the Fed reversed within weeks. The flood in 2020, when the balance sheet nearly doubled in a matter of months. The quiet backstop in the spring of 2023, when a handful of regional banks wobbled and a lending facility appeared almost overnight. Each time the pattern held, and each time it taught the same lesson, that the Fed’s tolerance for market pain was finite and the put was real. A whole generation of investors has never once been positioned against it.

This week the reflex is firing again, quietly, in the way investors lean on a dovish pivot the moment a print softens. And it runs straight into a problem the tape has not priced. The man who breaks the tie at the June 16 and 17 meeting is Kevin Warsh, and the rescue is the exact thing he has spent his career arguing the Fed should stop providing.

So here is the claim, stated plainly so you can hold us to it. The market is pricing a Fed put that is being retired in real time, and the disinflation now arriving will not buy it back. We will show our work on real data, the kind anyone can pull and check. If credit starts pricing stress, if the long end rolls over, and if the new chair blinks dovish on Wednesday, we are wrong and we will say so. None of those is happening yet.

The Reflex Is Firing Into a Calm Tape

Start by being honest about what this is and what it is not. This is not a crash call. It is not even a selloff call anymore. The scare that rattled the headlines a couple of weeks ago has already been bought. The S&P closed today around 7,554, back near its highs. Small caps led the recovery, the Russell up better than four percent on the week. More than sixty percent of the index sits above its 200-day average, the broad tape is healthy, and volatility has bled back down to a 16 handle after touching 21 when the worry was fresh. The dip got bought, exactly the way fifteen years of training said it would.

That texture is the tell, because it tells you what the reflex just did and what it now assumes. It worked. Weakness showed up, buyers stepped in ahead of the rescue, and the tape is back at the highs wearing a 16 vol. The bet underneath a thousand screens is no longer to buy this dip. It is the quieter, more dangerous one. That the next dip gets bought too, because the backstop is still there.

We think that bet is leaning on a backstop that is being dismantled. The tape is calm enough that the interesting question has nothing to do with whether something is breaking. The question is whether the thing everyone is counting on to catch the next break still exists.

The Referee Takes His Seat

Kevin Warsh was sworn in on May 22. There has been no policy meeting since Jerome Powell’s last on April 29, so this week is unambiguously his first in the chair. The decision itself is a formality. A hold at 3.50 to 3.75 percent is priced at something like ninety-nine percent, and we can move past it. The meeting matters for everything around the decision. The projections, the dot plot or whether he keeps one at all, the language on whether an easing bias survives, the tone on the balance sheet, the cadence he sets at the podium. Those are the tells, and every one of them points the same way.

He inherits a divided committee. The April meeting produced an 8-to-4 vote, the most dissents at a single FOMC since 1992, with some members wanting a cut and others objecting to an easing bias sitting in the statement at all. Warsh inherits that split, and on the public record he lands with the hawks. He has argued for years for a smaller balance sheet, for a Fed that holds less duration, for sound money, and against the reflexive accommodation that defined the prior regime. We want to be careful and call that what it is, his stated views and the market’s reasonable reading of them, which is a different thing from announced policy or a meeting outcome.

Watch the projections in particular. The prior dot plot still carried a cut or two penciled in for this year. If the median loses them, or if the committee sketches a hike, that is the market’s signal to flip from pricing easing to pricing its opposite, and it would land on a tape still leaning the old way. Watch whether the easing-bias language survives at all. And watch whether Warsh treats the dot plot as an institution worth keeping or signals he would rather scrap it, because a chair who distrusts forward guidance is a chair telling you not to count on a telegraphed rescue.

Look at what he is taking over. The Fed’s balance sheet ballooned in every crisis of the last two decades, each expansion a rescue, and even after two years of slow shrinking it still dwarfs anything seen before 2008. A chair who has argued for years to shrink it further wants to retract the most visible arm of the put. The reflex assumes the balance sheet rides in again the moment things break. He has spent his career arguing it should not, and on Wednesday he sets the agenda.

The Engine He Wants More Of

The reason the long end refuses to come down has nothing to do with growth or next month’s inflation print. It is supply, plain and simple. The government is funding enormous deficits, the market is being asked to hold a mountain of long-dated paper, and it is demanding to be paid for the privilege. That premium, the extra yield investors require to hold a long bond rather than roll short ones, has gone from deeply negative to clearly positive over the last two years and keeps grinding higher.

That is the engine pulling the 30-year toward five percent. Read it against what Warsh wants and the implication is uncomfortable. The force already lifting the long end is the force the new chair would rather lean into than fight. A Fed that wants less duration on its balance sheet and a steeper curve is a Fed comfortable with a higher long end. The rescue the reflex is pricing runs directly against the chair’s own stated preference.

And this is not a passing technical that fades when sentiment improves. The deficits are structural, the issuance calendar is relentless, and there is no obvious marginal buyer stepping in to fund it cheaply now that the Fed is shrinking its own holdings rather than adding to them. The premium is simply the market’s price for that imbalance, and it does not melt away on one soft inflation print.

The scale is the point. Federal debt held by the public sits near a post-war record as a share of the economy, and the deficits that feed it are structural rather than cyclical. Someone has to absorb every new auction, and the price of absorbing it is the premium you read off the long end.

For years that someone was foreign. Overseas official buyers once funded close to a third of the debt, and that share has fallen for a decade even as issuance exploded. The marginal buyer now is domestic and price-sensitive, and a price-sensitive buyer demands to be paid.

And the cost of carrying the pile compounds. Federal interest expense now runs alongside the entire national defense budget, and every basis point the long end rises makes next year’s deficit worse, which means more issuance, which means more premium. That loop is the engine, and it does not care what core inflation printed last month.

Now decompose the move, because the inflation read is the one most likely to be gotten backwards here. Split the 10-year into its two pieces, the real yield and the inflation compensation buried inside it, and the story is clear. The real yield sits near the high end of its fifteen-year range while the market’s inflation expectation has drifted lower, down toward 2.3 percent. Real is doing the work. The bond market is demanding more yield because the real cost of money is rising and because someone has to be paid to absorb the supply. The long end is high because of who has to fund the government and at what price, and a soft inflation print does nothing to change that. So the usual rescue logic, that cooler inflation lets the Fed ease the long end back down, misfires at the source.

Disinflation Arrives, and the Rescue Still Doesn’t

Here is the part that should, on paper, hand the dip-buyers their catalyst. The disinflation they have been waiting for is actually showing up.

May CPI was a hot headline on a soft core. The headline ran 4.2 percent over the year, dragged up by energy at 6.7 percent on the month and gasoline at 8.6 percent, the last echo of an oil scare that has run since February. But the core, the part the Fed actually steers by, came in soft, up two tenths on the month and 2.8 percent over the year, with shelter cooling. Strip the energy and the disinflation is doing exactly what a patient committee would want to see.

The gap between that hot headline and that soft core is energy, and energy just broke.

Crude round-tripped the entire war premium. Over the past week front-month WTI collapsed about fourteen percent to roughly 80 dollars, an eight-week low, as hopes built around a US-Iran interim deal that would lift oil sanctions and reopen the Strait of Hormuz. The dollar is soft alongside it. Both work to pull the headline down toward the core, which is the direction that takes pressure off prices.

So put it together. A soft core, a collapsing energy headline, a soft dollar, inflation expectations drifting lower. A normal Fed eases into this. That is the trap in the bull case, and it is a good trap, because the disinflation is genuine. But walk it through. The thing keeping the long end elevated was never the front-end inflation story. It is the supply premium, the cost of duration in a world of relentless issuance. So the very disinflation that should green-light a rescue does almost nothing for the 30-year, and a chair who wants more term premium has no reason to manufacture one. The excuse arrives. The rescue does not follow it. That is the whole piece in three sentences.

Credit Isn’t Pricing a Rescue Either

If something were actually breaking, the part of the market whose entire job is to price default risk would be the first to say so. It is silent, and the silence cuts against the reflex from the other side.

High-yield spreads sit near 2.8 percent, investment grade near 0.75 percent, both close to the tightest levels of the cycle and well under the 300 basis point line where credit even begins to register concern. Equities took a real scare a couple of weeks ago and then ripped all the way back, and through both moves these spreads barely twitched. Pull the chart back far enough and the discomfort is obvious. This is the same flavor of calm credit wore in 2007, camped out at the tights deep into the year, looking fine right up until it was not, and then gapping rather than drifting when it finally moved.

There is a reason the tightest part of the credit market makes the least reliable warning. Spreads compress when capital is plentiful and reaching for yield, which is precisely the late-cycle condition that tends to precede the turn. The blow-outs in 2008 and 2020 did not build slowly off wide levels. They detonated off tight ones. The equity reflex treats spreads this tight as an all-clear. We read them as the absence of a cushion, the market pricing perfection into a regime that is busy removing the backstop perfection was leaning on. We are not calling a credit blow-up here, and we want to be precise about that. We are making the narrower point that spreads this compressed leave no room for error if the rescue everyone is pricing turns out not to come.

What It Means If You Borrow

If you do not trade a single share, this section is for you, and it carries the same weight as everything above it. To an operator, the rescue the market is pricing is concrete. It is the cut you were counting on, the refinance you were waiting to get cheaper, the rate you penciled into next year’s plan.

Watch how the cost of long money actually reaches you. The 30-year fixed mortgage sits at 6.52 percent because it keys off the 10-year Treasury yield, and the 10-year is the very thing a steeper-curve chair wants higher rather than lower. There is no separate dial the Fed turns to bring your borrowing cost down while it holds the long end up. They are the same dial. A chair comfortable with a high long end is a chair comfortable with your mortgage, your maturity wall, and your line of credit staying expensive.

This is the split we keep coming back to. There is the economy that owns the assets, that watched the index hold near its highs and felt fine, and there is the economy that borrows to operate, that lives on the price of credit and feels every basis point of it. The first economy is debating whether to buy the dip. The second is deciding whether to break ground, refinance a building, or roll a line of credit into a long end that refuses to come down. A retired Fed put is a footnote to the first economy and a regime change to the second.

The places it bites first are predictable. Commercial real estate has a wall of maturities coming due that was underwritten when money was cheap and now has to refinance into rates that are not. Small businesses run on floating-rate credit that prices off a short rate the chair intends to hold firm. Private portfolios carry floating debt that a rescue cut was supposed to relieve. None of those borrowers got the memo that the backstop is being pulled, and Wednesday is where the memo gets sent.

And the cushion most operators assume is there, a Fed that cuts the moment the economy softens, is the very thing in question. Policy is still restrictive against an inflation rate that is cooling.

A normal Fed, looking at a core running under three percent and falling, would already be easing. This one is signaling it would rather wait, and that tells you something about the regime. The bar to a rescue is higher than it has been in a generation.

The labor market is the tell to watch, and it is cooling under a calm headline. Quits are the truth serum here. Workers stop volunteering to leave well before the unemployment rate moves, and quits have rolled over while unemployment stays low. By the time the jobs number cracks, the decision is already behind you. So read Wednesday’s projections the way a borrower should, as the clearest twelve-month signal you will get on the price of money. If the dots drift toward no cuts, or toward a hike, plan as if the short end stays high and the long end does not come to you. Finance against the rate you can actually get today, not the one you were hoping a rescue would deliver.

What Would Change Our Mind

We hold a view, so we will tell you plainly what breaks it, because a thesis without an off-switch is just a position you have married.

We are wrong, and the rescue is closer than we think, if three things turn. Credit starts pricing risk, with high-yield spreads widening off these tights instead of sleeping through the tape. The long end rolls over, with the real yield coming down and the supply premium releasing rather than building. And the chair himself blinks, with a dot plot that pencils in more cuts than the last one, or an easing bias kept and reinforced, or a press conference that leans dovish. Any genuine move on that list and we re-risk without apology. Right now not one of them is in motion.

Short of that, the setup is what it is. The reflex to buy weakness is leaning on a backstop that the man taking the chair on Wednesday has spent his career arguing against, and the disinflation that would normally force his hand lands on the front of the curve while the long end stays a fiscal story he is content to leave alone. For investors, that makes the dovish pivot the low-probability bet rather than the base case, and it makes the dot plot and the bias language the highest-leverage things to watch this week, well above the rate decision itself. For everyone whose plans run on the cost of money rather than the level of the index, it means the same thing in plainer terms. The cut you were waiting on is no longer the base case.

The reflex was trained over fifteen years. The trainer just left the building. We find out on Wednesday whether the market has noticed.

This is the board as we read it heading into the June inflation print and Kevin Warsh’s first meeting in the chair. The growth data is firmer than the mood, with orders and borrowing both up. Yet breadth healed on the surface while its momentum rolled over, defense bounced, and credit is still asleep at the tights while the labor data cools one print at a time. The deficit does not close, so the long end carries the weight. And for the first time in a long while, cash pays you to wait.

Forty-eight charts, twelve pillars, and the live book at the end. None of it is a forecast. It is a map of where the weight sits right now, and what would have to change for the call to change.

A word on cadence before the board. The May book never shipped, the calendar got away from us, and we would rather name that than pretend the gap was by design. This one puts us back on the rhythm.

Members research. Read the full piece at https://lighthousemacro.com/research/the-lighthouse-macro-chartbook.html or open it in Pharos.

This is the follow-up, and the message is starting to land. Friday’s payroll cracked the calm. The index wobbled off its highs, the VIX popped to a 20-handle, and megacap tech rolled a second leg lower after a one-day bounce. Then the very next session it steadied, which is exactly how a tape that is rolling rather than breaking behaves. Step back and the picture is clear enough. The S&P is still up high-single-digits on the year and sitting a few percent off its all-time high, carried by a shrinking handful of names, while the leading indicators underneath it have been deteriorating for weeks. The leaders are still leading. The laggards are still lagging. The gap between them is the trade, and over the next month we think it resolves toward the leaders.

The whole outlook rests on one fact, and here it is plainly. The back-up in yields is real and it is fiscal. Not an inflation print. The real 10-year sits near 2.2%, the high end of its fifteen-year range and still shy of the 2023 peak around 2.5%, while breakevens have behaved and parked near 2.35%. This is a market repricing the price of money for a fiscal reason, term premium and fiscal dominance, the long end demanding to be paid more to hold duration in a world of relentless supply. The 30-year is pushing 5%, and it printed just over it last week.

That distinction is the entire piece. A real-rate regime is a sorting machine, and it sorts without mercy, paying zero-duration cash a real return while it punishes anything long-duration, anything that trades like a bond, anything whose multiple was built on a discount rate that no longer exists. It crushed gold. It carries the long end. And it quietly compresses the multiple on the growth complex that led for two years. Get the cause of the yield move right and everything downstream falls into place. Get it wrong, call it an inflation scare, and you fight the wrong battle into both prints.

Members research. Read the full piece at https://lighthousemacro.com/research/markets-turn-in-order-and-the-order.html or open it in Pharos.

The leading reads were flashing for weeks while credit and volatility slept. Friday was the tape catching up to an inside that had been coming apart since February.

Markets do not turn all at once. They turn in order.

The leading parts go first, quietly, in the places that never make the front page, and the lagging parts go last, loudly, on the day everybody is watching. A framework earns its keep in the gap between those two events. The print broke the tape on Friday, but the story had already broken weeks earlier, and the point is the sequence: the leading reads were flashing for weeks while the lagging reads slept, and what looked like a single ugly session was the moment the surface finally caught up to an inside that had been coming apart for months.

The Sequence Is the Point

Here is the claim, stated plainly so you can hold us to it. The reads that move early were already moving. Breadth internals had been hollowing out since February. The term premium was sitting at the top of its own range, dragging the long end higher for a reason that has nothing to do with growth. Real rates had pushed to fifteen-year highs. All of that was true before Friday. The reads that move late, credit and volatility, were still asleep. So when the May payroll print landed hot and the tape finally cracked, it was the surface catching up to a structure that had been failing for weeks.

That is the whole thesis. What leads is the internals, the term premium, the real cost of money. What lags is price, and price is what most people call “the market.”

The index made new highs into early June. Underneath it, fewer and fewer names were participating. By the time the headline made its high, only a slim majority of the five hundred were even above their own long-term trend. The surface said all-time high. The inside said fewer soldiers carrying the flag every week. That is distribution, and it had been running for four months in plain sight.

What Actually Happened on Friday

The proximate cause was the jobs report. May payrolls came in at +172,000 against a consensus near 80,000. On the headline, that is hot, more than double what the street penciled in. The reflex read was simple: strong labor, no cuts, sell duration. And the tape obliged.

The S&P 500 had its worst day since October, closing around 7,384. The Nasdaq fell more than four percent. A nine-week winning streak ended. It was the first down week in ten. Those are real numbers and they hurt, and we are not going to dress them up.

But pay attention to what fell together, because this is where the easy story breaks. On June 5 the Dow dropped 1.35 percent and the Russell 2000 dropped 3.5 percent. Both. At the same time. There was no clean rotation out of the megacaps and into the forgotten old-economy names, no healthy passing of the baton from growth to value. Small caps and cyclicals went down with the giants. When everything sells at once, that is money leaving risk, not a baton pass.

The semis took the worst of it over several sessions. Broadcom fell about 3.8 percent on June 5 after failing to raise its AI outlook, and the larger double-digit damage you may have seen quoted was the cumulative multi-session slide across Micron, AMD, and Intel, not one name on one day. The difference matters. A cluster of AI-adjacent names repricing over a week is a story about crowded positioning unwinding, not a single earnings miss.

And the labor headline itself deserves a second look. The headline was hot, yes. Underneath it, the quits rate is rolling toward the 2.0 line, the level that historically marks workers losing the confidence to walk, and initial claims are grinding higher. That is late-cycle flow softening hiding under a strong stock number. The headline is the lagging read of the labor market. The flows are the leading read. Same pattern, one layer down.

The Real-Rate Back-Up

This is the part the consensus is most likely to get backwards, so we are going to spend real time on it.

When yields back up, the lazy interpretation is inflation. Prices are running, the Fed will have to stay tight, term yields rise to compensate. Sometimes that is right. This time it is not, and the bond market itself tells you why.

The front end led. Over the last twenty trading days the 2-year climbed twenty-two basis points while the 30-year barely moved, up three. When the short end leads a sell-off, the market is repricing the policy path, not a long-run inflation scare. It is saying the Fed will be higher for longer, or higher again, before it is saying inflation has gotten loose.

Now decompose the long end into its two pieces, the real yield and the inflation compensation buried inside it.

The real yield is at +1.1 standard deviations on our scale, with the actual real rate near 2.1 percent, the high end of its fifteen-year range, though still shy of the late-2023 peak near 2.5 percent. The breakeven, the market’s inflation expectation, is at +0.6, with the number near 2.36 percent. Real is running hotter than inflation compensation. That is the signature of a real-rate-driven move. The bond market is demanding more yield because the real cost of money is rising, and because someone has to be paid to hold a lot of long-dated government paper. It is not demanding more yield because it fears prices.

One honest caveat, because the inflation read is not a clean grind lower. That 2.36 percent breakeven is a pullback from a mid-May spike near 2.50 percent, when a Middle East oil scare briefly pushed inflation expectations up. So the breakeven coming down is partly the unwind of an oil fright, not a serene fade. The conclusion holds, the move is real-rate-led, but we want you to see the texture, not a smoothed cartoon.

What Is Actually Carrying the Long End

If the back-up is real and the front end is leading the policy path, what is doing the work at the very long end of the curve? This is where one of our proprietary lenses earns its place in the argument.

We track the 10-year term premium through what we call the Fiscal Pressure Index. Term premium is the extra yield investors demand to hold a long bond instead of rolling short ones, and it captures the part of the long rate that is not about expected policy at all. It is about supply, about deficits, about who is willing to fund the government at the long end and at what price.

The Fiscal Pressure read is above its 95th percentile against its own recent history, around 0.75 percent, above where it peaked in 2023. That is the engine under the 30-year. The long bond is near five percent because the market is demanding a fatter cushion to absorb the supply, not because anyone expects five percent inflation for thirty years. This is fiscal dominance showing up in a price. The deficit has a yield now, and you can read it off the curve.

That is the leading-read story in three figures. Breadth thinning since February. The front end leading the repricing. The term premium carrying the long end. None of it required Friday’s print to be visible. All of it was visible before.

The Laggards Were Still Asleep

Now turn to the reads that move late, because their silence is the tell.

Volatility spent months pinned near its lows. It did not start pricing risk while breadth was hollowing out, while the term premium was climbing, while real yields were grinding to multi-year highs. It waited until the tape broke, then jumped about forty percent in a session to a 20-handle. That is the textbook behavior of a lagging read. It reacts to price, it does not lead it.

Credit is the other laggard, and credit is still sleeping at the tights.

High-yield spreads sit near 2.74 percent, investment grade near 0.74 percent, both close to the lowest levels since the financial crisis. Spreads this tight say there is no default risk worth pricing. And the historical rhyme is uncomfortable. In 2007, investment-grade spreads camped out near 80 basis points well into the year, looking calm, looking fine, right up until they were not. The blow-out came after, with high-yield gapping toward eighteen points the following year. Tight spreads here are a sign that the part of the market that prices safety has not looked up yet.

Here is what makes the credit calm more than just complacency, and this is where the word camouflage earns its keep. Underneath the public index spreads, private credit is already cracking. The private credit default rate is running at 6.0 percent on a trailing-twelve-month basis, a record by Fitch’s count. Business development companies have been gating redemptions, slowing the door so investors cannot all leave at once. And once you count liability-management exercises, the polite restructurings that keep a loan from being formally tagged as a default, the leveraged-loan default rate runs close to double the clean number. The public tape shows you 2.74 percent and a quiet VIX. The private books show you something else. The stress is real. It is just wearing camouflage, off-exchange, marked quarterly, out of the index.

Credit Is Ignoring the Labor Read

Our second proprietary lens makes the credit complacency precise. We call it the Credit-Labor Gap, and it does one thing well: it measures whether credit markets and the labor market are telling the same story.

Read it carefully, because the honest version is more interesting than the dramatic one. The labor side is neutral, a z-score of roughly -0.03. Labor is not screaming. It is not stressed. It is sitting right at its average. So we are not going to tell you the jobs market is falling apart, because the composite does not say that.

The credit side is the problem. High-yield spread stress is at -0.96, nearly a full standard deviation into complacency. So the gap is this: credit is pricing a full sigma less risk than even a merely neutral labor backdrop would justify. The two are not looking at the same economy. Labor says fine. Credit says better than fine, nothing to see. When credit is this much calmer than the rest of the data warrants, the gap usually closes the hard way, with spreads moving toward the data rather than the data drifting up to meet the spreads.

Breadth Was Rolling Over for Months

We showed you one breadth read at the top. Here is a second, independent one, because a single internal can mislead and two pointing the same way is harder to wave off.

The McClellan Summation Index is a longer-horizon measure of advancing versus declining issues, a way of asking whether the broad market is accumulating or distributing. It peaked in early March near 394. It then fell off a cliff, collapsing toward 36, even as the headline index kept printing new highs into June. Two different breadth tools, measured two different ways, both saying the same thing months apart from the price high. The participation was draining while the index climbed.

This is the same shape as the share-above-the-200-day chart, and it is the same shape as the labor flows under the labor headline, and it is the same shape as private credit under public spreads. Surface up, inside down. The non-confirmation was not subtle and it was not new. It just was not on the front page.

And it sits on top of a concentration problem that makes the thin breadth more dangerous, not less. The top ten names are roughly 40 percent of the index, a higher share than the dot-com peak. The other four hundred ninety carry the rest. When breadth narrows in a market that concentrated, the index can keep rising on a handful of names long after the typical stock has rolled over. That is exactly what the figures show. The flag stayed up because ten people were holding it.

A Hawkish Bear-Flattening

Put the rate move and the policy path together and the curve gives you a clean read.

The 2s10s spread sits near +38 basis points and it flattened on the way up, with the front end leading. There are two ways a curve flattens. One is friendly: the front end falls because the Fed is about to cut, the long end holds, the curve steepens later as relief arrives. That is a bull-steepening setup and it is what risk assets want. This is the other kind. The front end rose and dragged the curve flatter, a bear-flattening, the market pricing tighter policy for longer. The curve is signaling resolve.

And the path has moved with it. The market has flipped from pricing cuts to pricing a hike by year end. We are not going to put a precise probability on it, because the number bounces around and pretending to three-decimal certainty is its own kind of dishonesty. The direction is the point. The conversation has shifted from “when do they cut” to “do they have to go again,” a regime change in expectations that happened underneath a stock index sitting at all-time highs.

Two Economies in One Print

Step out of the bond market for a moment, because the same divergence that runs through credit and breadth runs through the household data too.

Consumer sentiment is at -2.57 standard deviations, a record low mood. People feel terrible. And yet retail spending is at +0.03 year over year on our scale, essentially average. The wallet is still moving even though the mood has cratered. That gap between how people feel and what they spend is the two-economy signature, and for us it is the thing that decides how you read the American consumer right now.

It resolves the way these things always resolve, by cohort. The top of the distribution has assets, the assets went up, and that cohort keeps spending no matter what the survey says. The bottom of the distribution lives on wages, and real average hourly earnings have turned slightly negative year over year. Their paycheck is buying a little less than it did a year ago. That is who answers the sentiment survey with a record low and who keeps the headline spending number from rolling over only because the top cohort is carrying it. One print, two economies. The aggregate hides the split, and the split is the story.

Oil Round-Tripped, the Rate Move Did Not

Oil is the obvious place a skeptic would look to call the rate move inflationary after all. It does not hold up.

Crude spiked when the Strait of Hormuz scare hit, the same scare that briefly pushed breakevens to 2.50 percent in mid-May. Then it round-tripped, back to roughly $90.54 by June 5. And here is the tell: oil gave it all back, but the rate move did not. If the yield back-up had been an oil-and-inflation story, yields would have eased as crude retraced. They did not. The breakeven settled back near 2.36 percent and the real yield kept climbing. The reflation cover is gone. Strip out the oil round-trip and what is left is a clean real-rate move, which is exactly what the term premium told us in Figure 4.

The Dollar Says Stress, Not Yet Global

One more cross-check. The external channel.

Normally, rising real yields pull the dollar up as capital chases the higher real return. This time the broad trade-weighted dollar is off its highs even as real yields rise. The external channel, the one that transmits US tightness to the rest of the world through a strong dollar, is actually loosening a touch. The internal channel, the real cost of money at home, is tightening hard. That combination tells you the stress is domestic for now and has not yet spilled into a global dollar squeeze. It is a relief valve, and it is worth watching, because if the dollar turns and joins the real-rate move, the stress stops being a US story.

This Was Not a One-Session Panic

It would be comfortable to file Friday under “bad day, moving on.” We do not read it that way, and the reason is the calendar. Two events sit directly ahead, and both can extend this rather than end it.

The first is the May inflation report on June 10. Consensus has core around 2.8 to 2.9 percent, soft. And here is the counterintuitive part that we want to be very clear about: the dangerous print for risk is the soft core, not a hot headline. A hot headline this month is mostly oil, and the Fed looks through oil. A soft core, though, takes away the market’s excuse to keep dreaming about cuts in a world where the front end is already pricing the opposite. The soft print removes the last reason to disbelieve the curve.

The second, and the bigger one, is the FOMC on June 16 and 17. The decision itself is close to a foregone hold. The event is the projections. Whether they drop the last cut from the dot plot, whether the dots shift up, that is what moves markets, not the rate line. And this is the first meeting under the new chair, who has been clear about wanting a steeper curve and more term premium, pursued through balance-sheet composition: shorter holdings, less mortgage exposure, more bills. If that intent shows up in the projections, the term premium story in Figure 4 stops being a passing reading and becomes policy, and the thing carrying the long end gets an official sponsor that is unlikely to step back for a long time.

So this is not one ugly session to shake off. It is a setup with two near-term catalysts that can confirm it.

What It Means If You Do Not Trade It

Most of the people who read us do not trade a book, and this section is for you. You run a business, you sign the checks, you plan the year. Here is what the framework says you should take from all of this, in plain terms.

The cost of capital just went up, and it went up for the durable reason. This is not a temporary inflation spike that the Fed will cut its way out of in a quarter. The real cost of money is rising and the term premium is rising with it, which means borrowing long is more expensive and likely to stay that way. If you are financing anything multi-year, a buildout, an acquisition, a real estate decision, the rate you get quoted now is not a fluke to wait out. Plan around it.

Your demand base is splitting. The top-cohort consumer is fine and will keep spending. The bottom-cohort consumer is feeling a record-low mood and a paycheck that buys slightly less than last year. If you sell to the broad middle and lower end, the softness in sentiment is going to show up in your receipts before it shows up in any headline, because the headline is held up by the cohort that is not your customer. Watch your own numbers, not the aggregate.

And plan for a widening gap between the economy you read about and the economy you bill. The headline will keep saying the consumer is resilient because the aggregate is resilient, and your receipts may say something else entirely, and that gap will keep widening for as long as assets and wages keep diverging, because it is not a data wobble that mean-reverts next quarter, it is the two economies showing up in your own ledger.

What Would Change Our Mind

Strong views, weakly held. Here is what breaks this read, stated up front so you can hold us to it.

The thesis is wrong if three things happen together, not one of them, all three. Credit spreads have to stay tight, meaning the laggard never wakes up and the camouflaged stress really was nothing. Breadth has to re-broaden, meaning the share above the 200-day turns back up and the McClellan Summation reverses higher, so the inside re-confirms the surface. And real yields have to roll back over, taking the pressure off the term premium and the cost of capital. Tight credit and broad breadth and falling real rates, all at once, and the distribution story dies. We would take the other side gladly, because that is a healthier market than the one we are describing.

Any one of those alone is not enough. Spreads can stay tight while breadth rots, that is just the laggard sleeping longer. Breadth can bounce while real yields keep biting, that is a relief rally inside a downtrend. The three have to come together, because the whole argument is about the reads moving back into alignment from the leading edge in, not the lagging edge out. Until they do, the sequence stands.

We watch the parts that lead, and we wait for the part that lags to catch up. This week it caught up. The inside has been coming apart since February.

The surface finally noticed on Friday.

The Bureau of Economic Analysis released the April Personal Consumption Expenditures price index at 8:30 this morning. Core PCE printed 3.3% year over year, in line with consensus and the highest reading since October 2023. Headline PCE printed 3.8% year over year, the highest reading since May 2023.

The release contained both numbers. The Federal Reserve writes policy from one of them. Most household budgets feel the other.

The market read the Core print as the actionable number. The S&P 500 closed at a fresh record at 7,520. The Nasdaq joined it. The curve disagreed. 10-year Treasury yields closed at 4.67%, the 30-year at 5.18%, both fresh 2026 highs.

Three readings of the same release. The equity tape says fine. The Fed’s preferred gauge says manageable. The long end of the curve says no.

Members research. Read the full piece at https://lighthousemacro.com/research/two-prints-in-one-release.html or open it in Pharos.

The May print of the University of Michigan Survey of Consumers settled at 44.8.

That is the lowest reading the survey has ever produced. Below the 1980 stagflation trough at 51.7. Below the 2008 financial-crisis trough at 55.3. Below the 2022 inflation trough at 50.0.

In the same week, the S&P 500 closed at 7,473, a fresh all-time high and the eighth consecutive weekly gain. The Dow set a record at 50,580.

One country. Two readings. The widest page in the book.

Members research. Read the full piece at https://lighthousemacro.com/research/the-widest-page-in-the-book.html or open it in Pharos.

One market is repricing risk in real time. The other two are asleep. This Beam is the whole read: where the stress actually sits, the mechanism underneath it, what the consensus is missing, and what we are doing about it in Crosscurrents, our live model book, where paid subscribers see every position and every change as it happens.

Lock the 20% before it closes.

The 30-year Treasury closed at 5.11% on Wednesday. It touched 5.18% the day before. The long end of the curve is repricing the price of money in front of everyone, and while it does, investment-grade credit spreads are two basis points off their tightest level of the year and the S&P is a rounding error from its record.

One of these markets is wrong. Our framework just told us which one.

Members research. Read the full piece at https://lighthousemacro.com/research/the-long-end-broke-five-credit-hit.html or open it in Pharos.

The portfolio is Crosscurrents, funded and live on PiTrade under @LighthouseMacro. About a week in, three positions on: SHY, GLD, and XLP. Every position, every mark, every rebalance, timestamped and auditable as it happens, the misses included. Early marks went out against SPY. A macro book that holds short-duration Treasuries, gold, and defensives should not be measured against a long-only equity index, so we benchmark Crosscurrents against QAI, the liquid multi-strategy comp. The benchmark should say what the strategy is. The framework is not a worldview we narrate at you. It is infrastructure you can watch work, with a real book attached to it. Watch it move in real time: https://app.pitrade.com/user/lighthousemacro

The work is built for two readers. Market participants who trade the macro, and operators whose decisions ride on it without ever placing a trade. The same framework serves both.

What follows is a Beam in three parts. Part 1 is free. Parts 2 and 3, the plumbing under the long end and the institution that just changed hands, are for subscribers, with ten more charts and the full positioning read.

The price is $500 a year. For a limited time, the first year is $400. After that, standard pricing.

PART 1: The Tape Doesn’t Agree With Itself

Free preview · Parts 2 and 3 are for subscribers

Members research. Read the full piece at https://lighthousemacro.com/research/the-records-dont-agree-with-the-tape.html or open it in Pharos.

The Horizon · May 2026

Executive Summary

Q1 2026 real GDP grew 2.0% annualized. Roughly 1.1 percentage points of that, more than half of the entire print, came from computer and software investment. Inside the consumer line, healthcare alone accounted for 47% of the spending growth. Strip those two layers and the underlying private-sector economy ran closer to flat than to two percent. The headline reads resilience. The composition reads fragmentation.

This Horizon documents that fragmentation across six pillars and connects it to the rates regime that is repricing alongside it. Term premium on the 10-year sits at roughly 70bps, the floor of the pre-QE distribution. The framework’s honest level is 150. The Federal Open Market Committee printed four dissents at its April 29 meeting, the most at any single FOMC meeting since October 1992. Powell exits the chair on May 15. Kevin Warsh’s confirmation vote is this week. The institutional anchor is moving in five days, into a committee that has already begun fracturing in both directions.

We call this regime The Splitting Cycle. Two parallel cycles overlapping at the seam, held together by a tape that is still pricing one of them and ignoring the other. The framework’s job in 2026 is to read the composition.

We are not calling for an imminent recession. We are documenting a structural divergence between the headline economy and the composition underneath. The investment side is being underwritten by four companies pointing at $625 billion in 2026 capex. The consumer side is being held up by healthcare and government. The credit market is pricing the surface. Labor flows are giving mixed signals after the May 5 JOLTS print. The Fed is fracturing. The plumbing is running closer to capacity into the May 11 to May 13 auction window. The 30-year cracked 5% on May 4 and partially retraced on Iran headlines.

All of those are happening at once. None of them are noise.

Part I: The Splitter

The Q1 GDP advance landed at 2.0% annualized on April 30. Below the 2.3% consensus, above the Atlanta Fed’s 1.2% running estimate, and almost exactly where the St. Louis Fed’s tracker put it. The headline was a soft beat. The composition is the news.

Inside the print, non-residential investment grew at a 10.4% annualized rate, contributing 1.39 percentage points to the 2.0% headline. Consumer spending grew 1.6%, contributing 1.08 points. Government spending grew 4.4%, adding 0.73. Imports rose, subtracting from the total. Exports added back. The contribution shares tell the story the headline buries.

Look inside the investment line. Computer investment grew at a 67.4% annualized rate. Software grew 22.6%. Together, those two line items contributed roughly 1.09 points to GDP, more than half of the entire 2.0% headline. Equipment, intellectual property products, and private inventory all rose. Residential and nonresidential structures both fell. The investment cycle is concentrated by category, sitting in the hardware and software stack that runs the AI buildout.

Now look inside the consumer line. Real PCE grew 1.6%, of which 47.2% came from spending on health care alone. Durable goods consumption was flat. Non-durables fell at a 0.2% rate. The consumer is not weak in aggregate. The consumer is being held up by health care, which is the least discretionary category in the basket and the one most sensitive to demographics rather than business cycle.

The cycle is not lifting. The cycle is splitting.

The capital cycle running through that investment line has a name we have used before. It is the AI capex super-cycle, and the Q1 2026 reporting season just extended it without flinching. The four largest hyperscalers, Microsoft, Meta, Alphabet, and Amazon, collectively guided to roughly $625 to $640 billion in 2026 capital expenditures. Including Oracle and the broader top-five hyperscaler universe, the analyst consensus has now moved to roughly $700 to $750 billion. That is up from the January estimate of $620 billion. Big Tech raised the spending guide aggregating 2026 by $80 to $130 billion in a single quarter.

The dollar magnitudes are easy to gloss past. The macro magnitude is not. Four companies pointing at $625 billion in 2026 capex represent roughly 2% of US GDP being directed at AI infrastructure. There is no peacetime precedent at this concentration outside the late-1990s telecom and dotcom buildout, and the AI cycle is now running hotter on capex/revenue ratios than that one did at its peak. Per FactSet, blended S&P 500 earnings growth this quarter sits at 27.1%. The Magnificent Seven blended at 61.0%. The S&P 493, even with the Mag 7 cap weight stripped out, prints at 11.1%. One side of the capital cycle is producing the entire earnings tape on its own.

The pricing evidence inside the buildout is the part that surprises us most. Semiconductor industrial production minus broader manufacturing IP runs at +7.1 percentage points wide, persistent through every quarter of the last three years. Production of the things AI demands has been growing materially faster than production of everything else. Yet semiconductor PPI is flat. Core goods CPI is barely above 1%. The buildout is showing up as quantity expansion, not as price pressure.

Quantity without price is the signature of a cycle the Fed has no obvious reason to lean against. The 2021 goods cycle showed up as both more units and higher prices, which forced a hawkish response. The 2025-26 AI cycle shows up as more units at flat or falling prices, with the relative price story pointing the wrong way for inflation hawks. That changes the macro implication. Real yields, credit duration, and the equity multiple paying for back-loaded monetization are where the bill comes due, not headline CPI.

The capital intensity ratios make the dependency concrete. Capex as a share of revenue runs 86% at Oracle, 54% at Meta, 47% at Microsoft, 46% at Alphabet, and 25% at Amazon. Bank of America’s credit team estimates AI-related capex consumes roughly 94 cents of every dollar these companies generate after dividends and buybacks across 2025-26, up from 76 cents in 2024. Barclays models Meta’s free cash flow falling roughly 90% in 2026. The cycle is being financed by the residual after capital returns to shareholders, and the residual is shrinking.

That dependency is the thing the headline tape is not pricing. The S&P 500 makes new highs because the AI sleeve carries the index and the multiple compounds. The 493 is growing earnings at 11%, which is mid-cycle, not late-cycle. The 7 is growing at 61%, of which Nvidia alone does most of the lifting. Take Nvidia out of the Mag 7 group entirely and the remaining six grow earnings at roughly 6%. That is below the 493. The breadth of the earnings beat is narrower than the index print suggests. The dispersion of capex commitments across the same companies is widening.

The macro thesis we wrote in late April still holds. AI is fragmenting the cycle. The Q1 GDP print made that quantitative. The hyperscaler capex guides extended it. The earnings concentration confirmed it. The investment side accelerates. The consumer side eases. The engine creating the divergence is sustained and unhedged.

What would change our mind on the splitter thesis. Computer-electronic products inventory-to-shipments rises sharply, telling us supply has caught demand. Semiconductor IP rolls over relative to manufacturing IP. Real yields rise meaningfully and high-yield spreads widen while capex expectations stay aggressive, forcing the buildout to slow on financing constraint. Or one of the four hyperscalers cuts its 2026 guide on the next print. None of those have happened.

Part II: The Anchor Moves

The Adrian-Crump-Moench decomposition puts the 10-year Treasury term premium at roughly 70bps as of late April 2026. A year ago it sat at 40. Five years ago it ran negative. The framework’s honest level, the median reading from 1970 to 2007, sits at 150bps. We are halfway home.

The conditions facing the bond market today look meaningfully more like the pre-2008 regime than the 2014-21 stretch when term premium ran below zero. Structural deficits at full employment. Treasury funding short and deferring duration. The Fed out of the buyer seat. Inflation re-anchored at target with materially wider variance than the 2010s carried. None of those features were present during the QE-era anomaly. All of them characterized the regime where term premium averaged 150 to 250 for forty years. We anchor at 150 because that is the median across that distribution, and 70 is the floor of it.

The May 6 Quarterly Refunding Announcement was the structural test on the long end. We wrote the May 4 Beacon (”The Honest Level”) arguing that May 6 sets the pace. The market priced the worry into May 4. The 30-year yield briefly cracked 5%, the highest level since November 2023. The 10-year hit 4.45%, a nine-month high. Treasury supply concerns drove the move. Then the announcement landed. Treasury’s Q2 2026 net marketable borrowing announced at $189 billion, $79 billion above the $110 billion estimate Treasury published in February, a 72% overshoot inside a single quarter. Coupon sizes unchanged for the ninth straight quarter. The “at least the next several quarters” forward guidance language stayed. Net new cash from refunding $41.7 billion. Auction sizes set for $58 billion three-year, $42 billion ten-year, $25 billion thirty-year over the May 11 to May 13 auction window.

The market reaction was a partial retrace. The 30-year closed May 7 at 4.97%. The 10-year at 4.41%. The QRA was the non-event the announcement language signaled. The supply path was the catalyst the market priced two days early.

The destination did not move on May 6. The pace did. Treasury continues to fund through the front of the curve, leaning on bills, deferring duration. Each quarter that passes with stable coupon sizes is another quarter that adds to the eventual coupon issuance trajectory. Analyst expectations have shifted to 2027 as the year coupon increases begin. The framework reads that as a deferral, not a solution. The term premium reset is the price of that deferral, paid in basis points by buyers who require compensation that QE-era buyers did not.

The Federal Reserve is the second pillar of the rates regime, and the institutional anchor is moving in a way the dot-plot does not yet reflect.

The April 29 FOMC kept the target range at 3.50% to 3.75% for the third straight meeting. The vote was 8-4. Four dissents. The most a single FOMC meeting has produced since October 1992. Cleveland’s Beth Hammack, Minneapolis’s Neel Kashkari, and Dallas’s Lorie Logan dissented over the inclusion of easing-bias language in the statement. Governor Stephen Miran dissented in the opposite direction, calling for a quarter-point cut. Three hawks pushed back against the language. One dove pushed for action. The committee is fracturing in both directions.

A 33-year span without four dissents at a single meeting is not a number we cite for color. It is the institutional read on a committee that has lost the procedural consensus that has typically governed Fed decisions through every cycle of the last three decades. That fracturing matters now because the chair changes in five days. Powell’s term as Chair ends May 15. Kevin Warsh has been nominated, and the Senate confirmation vote is expected this week.

Warsh’s confirmation hearing on April 21 went fine on the substance. He committed publicly to Fed independence, declined to fix any future rate decision in advance of Senate questioning, and signaled what one analyst called a “regime change” plan for the institution. The procedural risk is concentrated in committee. Sen. Tillis is blocking the nomination over an investigation into Powell, and the Senate Banking Committee runs a 12-10 Republican advantage. One Republican defection in committee blocks the floor vote. As of this writing, the path to confirmation by mid-May is intact but contingent.

The forward question is not whether Warsh hikes. It is whether the dot-plot trajectory bends meaningfully more hawkish at the margin under a chair whose historical voting record sits to the right of the recent FOMC center. We expect it does. The committee that just produced four dissents on easing-bias language will not absorb a Warsh chair without the dot plot moving. The path of short rates that anchors the front end stays anchored. The supply path that anchors the long end keeps grinding. The curve steepens through the back, not through the front.

That is the Fed-side mechanism for term premium repricing. The fiscal-side mechanism still sits underneath, and the two operate in the same direction. The destination is 150bps. The path is grind, occasionally gap, partially retrace, repeat. May 4 was a single session of that pattern. The next one comes when the next catalyst arrives.

What would change our mind on the term premium thread. Term premium compresses sustainably below 50bps for three consecutive weeks. Or 10-year trades back below 4.10% with no growth shock to explain it. Or Warsh signals continuity at his confirmation hearing in a way that the market reads as Powell-trajectory preservation. Or Treasury executes a meaningful weighted-average maturity extension over the next two quarters that pulls the duration absorption forward and compresses the back-loaded supply story.

Part III: K-shape With a Caveat

The labor data took a turn on May 5 that the framework has to handle honestly.

The March JOLTS print, released that day, showed the hire rate jumping to 3.5% from 3.2% in the prior month. Hires rose by 655,000 to 5.6 million, the biggest single-month rise in over a year. The quits rate ticked up to 2.0% from 1.9%, just at the framework’s pre-recession threshold rather than below it. Job openings sat at 6.9 million, unchanged. Layoffs and discharges held at 1.2%. The print partially reversed the labor-flow weakening narrative we and others have been writing.

We have to read this two ways at once. The first read is straightforward. The flow data softened the late-cycle thesis at the margin. Hires accelerating off a crisis-era low is not consistent with a labor market about to break. Quits stopping their slide and re-anchoring at the threshold instead of below it removes one trigger we had named in earlier pieces. The Credit-Labor Gap, which we computed at -1.68 from the March data when it was the latest reading, will compress mechanically as the May print updates. Some of the framework’s spread-widening triggers fade.

The second read is the one we sit with longer. The March print is one data point. It is the first JOLTS release in six months that has pointed in the direction of recovery rather than continuation. The composition story underneath the headline did not change. Tech-sector layoffs continued through April. Microsoft, Meta, and Oracle cumulative announced reductions ran in the tens of thousands. Healthcare and transportation continued to carry net job creation. Bottom-half employment expanded. Top-half employment in tech, professional services, and finance contracted. The headline payroll has been firm because the bottom-half is still hiring. The K-shape composition has not closed.

Real wages tell the same story. The Q1 Employment Cost Index showed wages and salaries rising 0.8% quarter-over-quarter and 3.3% year-over-year, decelerating modestly from the prior trend. Inflation-adjusted wages and salaries grew 0.1% over the year. Effectively zero. Workers’ real spending power is being held flat by a CPI print that has run sticky on the goods side and re-accelerated on energy through the back half of Q1. The aggregate labor income that funds consumption is barely growing in real terms. Healthcare drove half of consumer spending growth in Q1. The other half came from trade-down, government transfers, and savings drawdown.

This is the part the headline labor and consumer data hide together. The hire rate jumped back, which is real. The quit rate stopped falling, which is real. Composition is still K-shaped, which is also real. Real wages are at zero, which is the hardest fact to argue with. The labor market is holding without enough force to fund a consumer currently spending out of an aggregate saving rate near 4%, with the bottom 60% running well below that.

The next labor surprise can come from either direction and both paths are consistent with the framework’s read. Top-half cuts continue and eventually compress the headline payroll. Or bottom-half hiring continues and the headline holds while real income growth stays flat. Either way, the K-shape composition holds. Either way, the consumer remains the lagging variable in the cycle.

What would change our mind on the labor thread. Real disposable personal income re-accelerates above 2% for two consecutive prints. The quit rate moves back above 2.2% on the next two JOLTS releases. Tech-sector layoffs reverse with hiring announcements at the same firms. ECI wages re-accelerate to 4% year-over-year while inflation cools, restoring real wage growth.

Part IV: Credit Looks the Other Way

The high-yield option-adjusted spread closed May 7 at 279bps. Below the 300bps complacency line we use as a regime marker. Roughly 200bps below the long-run average. The spread has tightened straight through the late-March SPX correction, the Iran supply shock, the FOMC dissents, and the GDP composition surprise. Credit has not flinched.

Investment-grade spreads tell the same story from the other side of the credit curve. IG sits near 80bps, the tightest in roughly three decades, in the bottom-decile of its post-2000 distribution. Both segments are pricing perfection. The relevant question is what they are pricing it against.

The Credit-Labor Gap, which compares high-yield spread positioning against labor fragility, was at -1.68 on the March composite refresh. Deeply through the -1.0 complacency threshold. The math on that gap will compress with the May 5 JOLTS print, because the labor side moved in the direction of recovery. The gap may not compress all the way. Quits at the threshold is not quits above it. Real wages at 0.1% is the consumer-income condition that prevents the labor signal from closing the credit-spread divergence on its own.

The market structure side is the second cross-check. The Structure-Breadth Divergence (SBD), which measures the gap between price-vs-trend and breadth-vs-trend on the S&P 500, breached its +1.0 distribution-warning threshold on April 14, traded above it for a week, dropped back into the +0.6 range, and re-breached on May 6 with a single-session jump from +0.72 to +1.17. The breach was real and volatile. By May 7 it had retraced to +0.90, just below the threshold.

The Market Structure Index (MSI) sits at +1.05 as of May 8, after a 3.1 z-score swing in the prior month. Structure is back. Breadth is participating. But the participation is shallow. The percent of S&P 500 members above their 50-day moving average sits at 52% with the index near all-time highs. Comparable record-tape episodes typically run 70%+. The 50-day rule is the cleanest read on rank-and-file participation, and the rank-and-file is barely participating at the index level.

The cross-asset composition tells a fourth story. Equities at all-time highs. The 10-year at 4.41% with the 30-year nearly at 5%. The dollar testing support. Gold near $4,800. Bitcoin consolidating. None of those are the cross-asset signature of a clean risk-on tape. The equity index is doing something the rest of the asset complex is not buying.

What would change our mind on the credit-and-structure thread. HY OAS compresses below 240bps and stays there for two months while quits stabilize back above 2.1% for two consecutive JOLTS releases. Or breadth thrust higher: percent above 50d crosses 60% with confirming percent above 20d above 70% on the same five-day window. Or the May 6 SBD breach stays retraced for two weeks of consecutive closes below +0.5. Any of those would mean the warning is wrong and the rally has earned the next leg on actual broadening.

Part V: The System Runs Closer to Capacity

The plumbing signal that matters is in the funding spreads. The SOFR-IORB spread, the cleanest read on whether reserves are doing the work they need to do, sits roughly 5bps negative on most days. By the level alone, reserves are still ample. The pattern around the level tells a different story.

Episodes through late 2024 and 2025 saw SOFR-IORB widen on quarter-ends and tax dates, the largest single-day spike being 32bps on October 31, 2025, the highest reading in five years. Those episodes are no longer isolated. They cluster around predictable cash-management dates, growing in magnitude. The April 2026 tax season passed without an acute incident, in part because the Fed had already halted QT on December 1, 2025, and begun reserve management purchases of approximately $40 billion per month in Treasury bills. Those purchases are technical management of seasonal flows. They do not rebuild the buffer. The Fed exiting the seller role does not put the Fed back in the buyer role.

A single quarter-end blip is noise. Repeated blips at predictable dates, growing in amplitude, are the system telling us that the buffer between abundant and scarce reserves is thinner than the level alone implies. We treat SOFR-IORB as a regime indicator rather than a level indicator for that reason. The level says ample. The frequency and amplitude of dislocations say closer to the threshold than ample suggests.

Reserves themselves sit at roughly $3.0 trillion as of early May, modestly above the $2.5 to $2.7 trillion Lowest Comfortable Level of Reserves (LCLOR) band Fed officials describe as the threshold below which funding stress historically emerges. The trajectory matters more than the level. RRP exhaustion, which carried the system through 2022 to 2024, was the first stage of buffer compression and finished long before the auction window we are about to walk into. The relevant pressure point now is the absorption capacity of the system that has to take down the supply.

The May 6 QRA confirmed the pace. Coupon sizes unchanged for the ninth straight quarter. Forward guidance language preserved. Net new cash from refunding $41.7 billion. The May 11 to May 13 auction window prices that confirmation. $58 billion three-year on Tuesday, $42 billion ten-year on Wednesday, $25 billion thirty-year on Thursday. The questions that matter run through the auction stat sheet. Tail or stop-through. Bid-to-cover. Indirect bidder share, which proxies foreign demand. Direct bidder share, which proxies real-money domestic. Primary dealer takedown, which is what is left over when the indirects and directs are out.

That last category is where the constraint binds. Primary dealers absorb whatever the rest of the auction does not, and dealer balance sheet capacity is regulated by the Supplementary Leverage Ratio. SLR treats Treasuries the same as risk assets for capital purposes. Each dealer’s ability to warehouse a heavy auction without flinching is a function of capital headroom against that ratio. The 2025 SLR exemption rollback that was floated and shelved would have given dealers more room to absorb supply. It did not happen. Dealers run closer to their internal warehouse limits today than they did a year ago, and the back-loaded coupon trajectory the QRA preserved compounds against that constraint quarter after quarter.

The Fed’s response to the next bind is the question Treasury is implicitly running through every QRA. Buyer-of-last-resort interventions during episodes like September 2019 happened on a 24- to 48-hour timeline. The system today is not at that point. It is closer to that point than the headline reserve level implies, and the auction calendar between now and the August refunding compounds the test.

What would change our mind on the plumbing thread. The May 11 to May 13 auctions all clear without tails, with indirect bidder share above 70% and primary dealer takedown below 18% on the thirty-year. Reserves expand back above $3.2 trillion through a sustained Fed bill-purchase program scaled larger than current pace. SOFR-IORB averages below zero through two consecutive quarter-ends without any single-day spike above 10bps. Any of those would mean the system has either absorbed the supply cleanly or rebuilt enough cushion that the next acute event recedes from the calendar.

Part VI: What Comes Next

Three calendar items shape the next thirty days, and each one is a fork.

The Iran path opened on May 6. The White House announced a 14-point memorandum of understanding intended to end the war. The framework calls for a 30-day window of nuclear talks, an Iranian moratorium on enrichment, US sanctions relief, and the release of frozen Iranian funds. Trump halted Project Freedom, the US escort effort in the Strait of Hormuz, citing progress in negotiations. Brent crude fell 8% to close at $101 on the announcement. WTI fell 7% to $95. By May 7 Brent was at $100, WTI at $94.81. The IEA had estimated the conflict was disrupting roughly 14 million barrels per day of crude transit through the Strait of Hormuz at peak.

The Iran fork has three branches. Branch one: the deal completes within 30 days. Oil moves toward $75. Energy equities rotate, the inflation tailwind compounds, the Fed’s “look through the supply shock” framing was right. Branch two: talks break down inside the window. Strait re-closes. Oil moves toward $115. Headline CPI re-accelerates, services inflation lags but pulls higher, the Fed has no cover to ease. Branch three: the talks drag through the 30 days without resolution. Oil stays in the $90 to $100 range. Premium stays priced. The macro outlook absorbs uncertainty as a variance, not a level.

The Warsh confirmation this week is the second fork. The committee vote is the binding constraint, not the floor vote. A clean confirmation puts Warsh in the chair on May 15 and shifts the dot-plot trajectory hawkish at the margin. A blocked nomination forces a renomination process that could leave Powell as a holdover or push to an interim chair, an institutional event the Treasury market has not had to price in 30 years.

The CPI print on May 13 is the third fork. Headline already running 3.3% with energy on a downward path post-Iran announcement. Core has been holding around 2.7%. The supercore reading, which strips housing, is what the Fed actually targets, and it has been the variable that determined the path of cuts in every prior cycle. A supercore print at or below 0.2% monthly buys the Fed time. A print at or above 0.4% removes the cover Powell has been using to look through the energy spike, and the FOMC dissent dynamic gets louder before Warsh even arrives.

Each fork resolves, in some form, before June 5. The framework’s job between now and then is to be patient with which branch fires and which threshold breaches. The book is mostly cash for a reason.

Bottom Line

The headline economy reads 2% growth, 3.3% inflation, 4-something unemployment, all-time-high equity prices, and tight credit spreads. By any single line, the picture is fine.

The composition reads differently. AI capex is doing more than half the GDP heavy lifting. Healthcare is doing half the consumer’s. The Fed is fracturing into its largest dissent count in 33 years. Term premium sits at the floor of a regime it doesn’t belong in. Real wages are at zero. The 30-year cracked 5% on a Monday and partially retraced by Wednesday on geopolitical headlines. The plumbing is running closer to capacity than the headline reserve level implies. The structural-breadth divergence breached and re-breached inside two weeks. The credit-labor gap was at the deepest reading since 2018 going into a labor print that partially relieved it.

None of that is new this week. Most of it has been visible for a quarter or longer. What changed in the last 30 days is the aggregate compression. The catalyst window we framed in the April 27 Beacon was supposed to test the framework. The framework reads strained, not broken. Strained is information.

The cycle is splitting. The anchor is moving. The book waits for the gates to align. The framework waits for the composition to either hold the surface up, or pull it down. We don’t know which way that resolves. We do know which way the composition is leaning.

The framework reads the tape. We trade the reads. The launch goes anyway.

Behind the Watch: the stack expands

The framework is what we have built over the last decade and a half across institutions. Twelve pillars, three engines, one master composite, a public model, and an active book. The Substack has been the primary surface for the framework since the publication launched. As of this Horizon, the surface starts to widen.

Three new surfaces alongside the Substack, one anchor that ties them together, and a rollout sequence that runs as the build queue clears.

The portfolio, public

The Lighthouse Macro portfolio is going public on PiTrade. Advisory through Pioneer Advisory LLC. Brokerage and clearing through Interactive Brokers LLC. The platform’s creator program lets us publish positions in real time, with subscribers able to follow and copy at $10 one-time per portfolio per the platform’s terms.

The portfolio is the framework, expressed within the platform’s available order types. Eight target positions plus an SGOV cash floor. Active versus staged separated by trigger. SPY as the public benchmark, because that is the lingua franca of the platform and because the position-level RS gates for equities all bench against it.

Subscribers will see the full position book by ticker and weight, updated in real time. Performance versus SPY. Trades as they happen, with timestamps. Strategy description and methodology. What subscribers do not see is the dollar amount of capital committed; that is private by platform design.

A note on the structure. The portfolio runs on PiTrade as a publicly tracked tactical macro book, with brokerage and clearing through Interactive Brokers and advisory through Pioneer Advisory LLC. Different vehicle from a hedge fund or a separately managed account, different regulatory architecture, different fee structure. The discipline is documented in writing every Sunday in The Horizon. The trades land on the platform with timestamps. The framework and the book live in the same room.

The portfolio launches with what the framework actually allows on day one. The first thirty days will look like patience, because the framework requires patience right now. The patience is the position.

The research surface, opened

We have been building the Lighthouse Macro research dashboard against the OpenBB Workspace. The first pillar-level apps ship to paid subscribers as they clear the build queue.

The mechanic. Lighthouse_Master.db, the SQLite warehouse that backs every chart and every composite we publish, is exposed to OpenBB Workspace through a FastAPI bridge running on Lighthouse Macro infrastructure. Subscribers point OpenBB at the bridge and read the full database directly. Roughly 2,100 series. Roughly 4 million observations. Refresh cadence matching the underlying source pipelines, daily on the composites.

What that means in practice. Every chart we publish in a Beam or a Beacon or a Horizon will be reproducible on the dashboard inside two clicks. Every pillar composite queryable as a live time series. Every threshold, every regime classification, every divergence flag we cite auditable against the source data.

The roadmap is dozens of pillar-level apps in the build queue. Labor flows. Credit-Labor Gap. MRI regime. Plumbing dashboard. Sentiment composite. Each pillar gets its own app surface as the architecture rounds out. We will publish each one as it ships, with a one-paragraph explainer in the Substack Note that week.

This is the layer of the stack that most directly answers the question we hear most often from institutional readers. “Where does the data come from, and can I see it?” Soon, you can.

The channel, and the bot

The Lighthouse Macro Telegram channel is shipping, paired with a framework-aware bot that paid subscribers can query directly.

The channel handles the cadence the Substack cannot. Live macro briefings during the New York session. Threshold-breach alerts the moment a pillar reading crosses. Auction post-mortems within an hour of the print. Real-time read-throughs on economic releases. Anything that benefits from being delivered in minutes rather than days lives on Telegram.

The bot is the more interesting piece. Trained on the full Lighthouse Macro framework documentation, the pillar specifications, the published Beacons, Beams, and Horizons, and the live data layer through the OpenBB bridge. Subscribers ask it framework-aware questions and get framework-aware answers in real time. “What is the current MRI regime, and which pillars are driving it?” gets a current-data answer. “Which composites have moved most over the last week?” gets a live ranked list. “Walk me through the Credit-Labor Gap calculation as of today’s print” gets the formula, the inputs, and the current reading.

The Substack remains where the framework gets articulated and where positions get explained. The bot is the layer that lets subscribers interact with the framework in between publications, on their own questions, on their own data.

Access to the channel and the bot is included in the standard paid subscription. Pairing instructions and onboarding ship to subscribers in the Substack Note when each goes live.

The grandfather, and the floor

This is the most important paragraph in the Horizon, for subscribers and for prospects.

Every paying Substack subscriber on the books before the launches above is grandfathered into the full Lighthouse Macro stack as it expands. That includes PiTrade portfolio access at the subscriber rate, the OpenBB dashboard, the Telegram channel, and the LHM bot. The Substack subscription is the anchor. Existing subscribers carry forward at their current rate, with permanent rate preservation against the full-stack pricing that goes live when the surface area is complete.

Founding members lock for life at their original rate. Subscribers on the books at the current $500/yr ($50/mo) rate carry forward at that rate as long as the subscription stays continuous through the public-pricing transition. The price you pay today does not move on you because we shipped four more products around it.

What that means for prospects considering today’s rate. The next move is up. We have not set a date, and we are not setting one in this Horizon, but the direction is determined. The full Lighthouse Macro stack at the current rate is what you get for subscribing before the next pricing move. After that, the rate moves and the grandfather rule above is what makes the prior rate stick for the cohort that got in.

The path forward

We are honest about what this means.

What stays the same. The framework we publish on Substack today, the Beam cadence, the weekly Beacon, the monthly Horizon, the Note rhythm, all of it continues at the current cadence under the current pricing. The free tier remains free. The paid tier remains paid at the current rate for current subscribers.

What changes. The surface area expanding. Hundreds of charts a month across Beams, Beacons, Chartbooks, and Horizons. Dozens of OpenBB apps surfacing the same data infrastructure that backs the publication. A live Telegram channel during the trading day. A framework-aware bot answering subscriber questions in real time. A public portfolio with timestamped trades. All of it sitting behind one credential.

The line between free and paid moves as the paid surface grows. The early-cycle macro framework explainers stay free, because they belong to the educational mission and the brand. The real-time readings, the live data access, the bot, the portfolio, and the deep-dive composite work move further into the paid tier. Some pieces that currently live above the fold will move below it as the stack rounds out.

The next public pricing move will reflect the stack as it exists at that moment, not as it exists today. The grandfather rule above is how we make that move without penalizing the cohort that got in early. Subscribe today and you are in that cohort.

If the framework, the book, and the stack we’re building are the kind of work you want in your inbox at the current rate, the math is straightforward enough.

The remainder of this Horizon is for paid subscribers.

The Book at Launch Readiness

Eight framework positions plus a strategic cash floor. The framework requires patience right now, and the book reads patient. The active sleeve at 10am Monday sits at 13% on the tape; everything else stages behind named triggers, with the cash floor paid roughly 4% to wait. The cash floor is the framework operating as designed.

Framework readings as of 2026-04-29 close. Bench-corrected RS regimes; rate-of-change and distance-from-MA z-scores computed against 252-day rolling distribution.

The book by exposure

Long the term-premium and fiscal-dominance thread, expressed through gold at a structural pullback inside a multi-year breakout that is still intact on weekly timeframes. Long the short-end leg of the steepener trade, staged behind the price gate clearing the stop zone. Long defensive equity through staples, utilities, and healthcare, each staged behind relative-strength rotation against SPY. Long energy operators, staged on the next Iran-print catalyst. A small AI-infrastructure expression on the systematic screen, staged behind a momentum reset. Tail hedge via volatility through the catalyst window. Strategic cash floor parking the residual at roughly 4% carry while triggers wait.

Every line carries named triggers in writing. Relative-strength against the corrected benchmark; rate-of-change at two windows; distance-from-MA at two windows. The full position book, the per-line sizing, and the live state of each gate publish in real time on the PiTrade feed when it launches, and inside the trading day on the Telegram channel as triggers fire.

The active sleeve at 10am Monday

Two positions clear the framework’s day-one gates and fire at 10am Monday. The gold half-tranche, under a named exception against the multi-year breakout that is still intact on weekly timeframes. The volatility hedge, RS-exempt by design, full size against the four-fork catalyst window. Both are documented in the standing trade log with the named exception on the gold price gate cited.

Every other line waits. The patience is the position.

Today’s read on the systematic screen

The LHM systematic screen reads risk-on at the technical level. The cleanest cluster sits in broad equity and growth, concentrated in tech and AI-infrastructure exposure. The defensive sleeve the macro thesis prefers reads Red or Mixed on relative strength, technically short of clearing the gate today.

The framework’s response is the staged-versus-active split above. The macro view says lean defensive. The technical screen says the defensives are still pending. The book holds the targets and lets the gates fire.

Risk Matrix

Eight scenarios shaping the next thirty days, with probability, impact, trigger levels, and the pillars each touches. Portfolio reasoning updated weekly. Triggers fire intra-week in the Telegram channel.

Watchlist

What we are watching for staged deployment, and what would invalidate the current book. Live readings update in the Telegram channel as triggers fire.

Bottom Line

The catalyst window is open. The Fed anchor moves in five days. The plumbing runs closer to capacity each quarter. The composition of the cycle is splitting between an investment thread that has its own gravity and a consumer thread that does not.

The book runs the framework through a second gate. The portfolio’s first day on PiTrade starts patient. Most of the target weights sit behind triggers. The discipline is the published edge.

The stack runs the framework through a third gate. PiTrade puts the book on a public timestamped feed. OpenBB puts the data and the composites on a live workspace. Telegram puts the cadence inside the trading day. The bot puts the framework inside the subscriber’s own question. Four surfaces, one credential, rolling out as the build queue clears.

What we built over the last decade and a half was the framework. What we are launching now is the surface for it. The Substack stays the anchor. The current rate stays available through the rollout window. The grandfather rule stays permanent for the cohort that locks before the next pricing move.

The framework reads the tape. We trade the reads. The launch goes anyway.

That’s our view from the Watch. We’ll keep the light on...

Bob Sheehan, CFA, CMT
Founder & Chief Investment Officer
Lighthouse Macro | Research | @LHMacro

Term premium on the 10-year Treasury sits at roughly 70 basis points. A year ago it sat at 40. Five years ago it sat below zero. The drift is in one direction.

We anchor the framework’s honest level at 150bps. It is the median reading from 1970 to 2007, and we use it because the conditions facing the bond market today look more like that pre-QE regime than the 2014 to 2021 stretch when term premium ran negative. Structural deficits at full employment. Treasury funding short and deferring duration. The Fed out of the buyer seat. Inflation re-anchored at target with materially wider variance. None of those features were present during the QE-era anomaly. All of them characterized the pre-2008 regime, when term premium averaged roughly where we say it should sit today.

70bps is halfway home. The base case is straightforward: the front end stays anchored by a patient Fed, the long end keeps repricing higher as supply grinds against capacity, and the curve steepens through the back. That is what the data has been doing for two and a half years.

The next catalyst is Wednesday, May 6. The Quarterly Refunding Announcement gives Treasury’s read on issuance composition over the next three months and gives the market the chance to push the long end before the issuance hits. Refunding does not move the destination. It moves the pace.

The Reading: 70bps Today

We use the Adrian-Crump-Moench decomposition because it has the longest continuous monthly history, the New York Fed publishes it without revision games, and the cross-sectional behavior over four decades behaves the way theory says term premium should behave.

History matters here because the eye gets tricked by the recent past. From 1970 through 2007, term premium averaged a little above 150bps. The 1980s and early 1990s ran higher, regularly above 300bps. The mid-2000s ran lower, occasionally below 100. The full pre-crisis distribution clustered roughly between +75 and +250.

Then the world changed.

From 2014 through 2021, term premium ran negative for extended stretches. That was not a market judgment about future risks. It was an artifact of three forces compounding. The Fed owned a quarter of the Treasury market and absorbed duration aggressively through QE. Foreign official buyers, primarily China and Japan, ran reserve accumulation strategies that treated Treasuries as inelastic demand. And global growth and inflation expectations were anchored low enough that the path of short rates over a decade looked extraordinarily compressed. Term premium measured what was left over after those three forces. There was not much left over.

Those three forces have all reversed. The Fed has been a passive duration seller for two-plus years. Foreign official demand has flatlined and ceded share to private buyers who require compensation rather than absorbing reserve flows. Inflation expectations have re-anchored at target but at a variance materially wider than the 2010s carried. The conditions today look meaningfully more like the pre-2008 regime than the QE-era anomaly. The framework’s anchor falls out of that observation. Term premium lived in the 100-to-200 range for most of forty years under conditions that broadly resemble where we are today. We anchor at 150 because that is where the median sat across that distribution.

The 70bps current reading puts us at the floor of the pre-2008 range. The repricing has begun, and it has gone halfway. The framework’s argument is that the conditions warrant continuation.

The Spine: Fiscal Supply and Duration Mismatch

Every term premium framework that survives contact with the data starts here. The federal government issues debt. Someone has to hold it. The compensation that someone demands depends on how much debt is coming, what maturity it carries, and what the alternatives are.

The first leg is volume. The federal deficit is running at roughly 6.5 to 7 percent of GDP. The level is remarkable not for its magnitude but for its composition. We are running peacetime, full-employment deficits at a scale historically associated with recessions or wars. The cyclical adjustment is meaningful. If the economy entered a normal recession tomorrow, automatic stabilizers and revenue rolloff would push the headline deficit toward 10 percent of GDP without any new policy. We are starting from a structural baseline that leaves no room for the business cycle.

That baseline is not closing. CBO projections show deficits widening through the next decade under current law. The interest line alone, which was a manageable rounding error during the ZIRP years, now compounds against a debt stock that has roughly doubled since 2008 and a marginal funding cost that has materially repriced. We spend more on interest today than on defense.

The second leg is composition. Treasury has consistently chosen to fund a disproportionate share of issuance through bills rather than coupons. Bills are short-dated, easier to absorb, and roll cheaply when the front end is anchored. Coupons require buyers to take duration, which is where capacity constraints bite.

The bills share has ridden the upper half of the 15-to-20 percent range that the Treasury Borrowing Advisory Committee has historically described as appropriate, and has done so for two years now. The accounting of that choice is straightforward. By issuing bills today, Treasury defers the duration problem. By deferring the duration problem, Treasury accumulates an obligation to issue more coupons later. The math runs through eventually.

The third leg is maturity.

Weighted-average maturity sits near 92 months, the high end of the post-1980 range. This sounds like Treasury has done the duration work. It has not. WAM is a stock measure. The deficit run-rate is a flow problem. The deficit is wide enough that simply maintaining the current WAM requires accelerating coupon issuance from here. Letting WAM drift back toward Treasury’s historical six-year reference would require even more. Either path puts duration on the market faster. WAM tells us where we are. The forward question is what it takes to stay there.

The supply trajectory follows from those three legs.

This is the spine of the framework. Volume that does not stabilize, composition that defers duration, and a maturity profile that sets up an accelerated coupon issuance trajectory. Term premium is the price of all of that, paid in basis points, by buyers who require compensation that QE-era buyers did not.

The Cushion That’s Gone

For most of the post-2008 era, the Fed was the marginal absorber of duration. QE1 through QE4 added roughly five trillion in Treasuries and MBS to the System Open Market Account. That demand came in regardless of price, and it was the dominant reason term premium ran where it did during the QE years.

Quantitative tightening reversed that. Starting in 2022, the Fed began letting maturing Treasuries roll off the balance sheet at a defined cap.

The pace of QT moderated in 2024 and again in 2025 as Fed officials grew increasingly attentive to reserve scarcity. There is now active discussion about whether QT should end entirely. We expect it will, sometime in the next two to three meetings, depending on how reserves and money-market functioning behave. Ending QT is not the same as restarting QE. The Fed exiting the seller role does not put the Fed back in the buyer role.

What absorbed the duration that QT released? Primary dealers, on their balance sheets. Foreign private buyers when the currency-hedged yield pencils. Domestic real-money allocators when liability-driven mandates demand it. And money-market funds, indirectly, by lending into repo and term funding rather than buying Treasuries outright.

That last buyer matters. From 2021 through 2024, the Reverse Repo Facility absorbed peak balances above two trillion dollars. Money-market funds parked cash with the Fed at the RRP rate when private alternatives offered nothing. As the front end repriced and bills became more attractive, money-market funds rotated out of RRP and into Treasury bills directly.

That rotation was a one-time event. The buffer is gone. There is no longer two trillion of money-market liquidity sitting at the Fed waiting to flow into Treasuries when supply hits. That liquidity has already flowed. It is in the bills market now, and it will roll, but the cushion that absorbed every funding shock from 2022 to 2024 has been spent.

Reserves are the other side of the same coin. They have come down materially from peak. They have not yet hit the level Fed officials describe as scarce, but they have moved from abundant toward ample, and the trajectory matters. Without RRP as a release valve, reserve scarcity becomes the next pressure point.

The Plumbing Layer

When QE ran the duration market, vol was suppressed because the buyer of last resort had effectively unlimited capacity. With the Fed out of the seat, vol shows up first in the plumbing, before it shows up in the long bond.

Three signals carry this layer.

The first is funding spreads. SOFR-IORB and EFFR-IORB are the cleanest reads on whether reserves are doing the work they need to do. When reserves are abundant, SOFR runs at or below IORB. When reserves tighten, SOFR drifts above IORB, and the spread becomes a real-time gauge of dealer balance sheet stress.

Episodes through late 2024 and into 2025 saw SOFR-IORB widen on quarter-ends and tax dates. Those episodes are no longer isolated. They are the early warning that the system is operating closer to its capacity than the headline reserve number suggests. The pattern matters. A single quarter-end blip is noise. Repeated blips at predictable cash-management dates, growing in magnitude, are the system telling us that the buffer between abundant and scarce reserves is thinner than the level alone implies. That distinction is why we treat the SOFR-IORB spread as a regime indicator rather than a level indicator. The level says ample. The frequency and amplitude of the dislocations say closer to the threshold than ample suggests.

The Fed knows this. It is the reason QT pace has been throttled twice and why the ending-QT discussion is no longer hypothetical. The plumbing is doing the speaking, and the policy response is following.

The second is auction performance. The bond market gives us a quarterly stress test in real time. Tails, the gap between the auction stop yield and the pre-auction when-issued level, are the cleanest measure of whether dealers are stepping up.

Tails on the 10-year sat near zero through most of the 2010s. They have run consistently positive at four-to-eight basis points since 2022, and the trailing twelve-auction average has not retraced. The market is requiring a level of concession to absorb 10-year supply that simply was not asked of it during the QE years. Bid-to-cover has run softer than the trailing twelve-month average more often than not. Indirect share has been volatile, with weakness concentrated in the months immediately following announcements of larger issuance sizes.

These are not crisis signals. They are pace signals. They tell us the market is requiring more concession to absorb supply than it required two years ago, and the trend is not retracing.

The third is the futures-spot basis. When dealers are balance-sheet constrained, the basis between Treasury futures and the cheapest-to-deliver cash bond widens. The basis trade has historically been a relatively small position concentrated in a handful of hedge funds, but it has grown to a multi-hundred-billion-dollar size, and dislocations in the basis are the canary for broader funding stress in the Treasury market. Vol and dealer capacity both transmit through this channel.

Inflation and the Path

Term premium does not include the expected path of short rates. That path is the other component of the long-term yield, and inflation expectations bound where term premium has room to move.

The 5-year, 5-year forward breakeven sits in a range broadly consistent with the Fed’s 2 percent target plus a modest risk premium. Anchored is the right word. Stable is not. The variance of inflation outcomes is materially wider than the 2010s carried, and term premium has to compensate for that variance even when the central tendency lands at target. A 2 percent expected path with a 50bps standard deviation is not the same risk profile as a 2 percent expected path with a 150bps standard deviation. The framework reads the latter as the current regime.

Growth runs the other direction. If growth surprises higher, the Fed stays restrictive longer, the path of short rates carries the load, and term premium can sit lower. If growth rolls, the Fed eases, the path falls, and the curve steepens through the front rather than the back. Our base case is neither extreme, which leaves term premium as the marginal pricing variable. That is the working assumption. It is also the one most exposed to a regime shift in either direction.

The Honest Gap: What We Don’t Price

Six lenses are load-bearing today. One is not. We will tell you which.

Pension and insurer regulatory demand for long-duration assets is a real long-end force, and it is not in our tactical framework. The mechanism is straightforward. Defined-benefit pensions and life insurers carry liabilities with very long durations. Liability-driven investment frameworks and NAIC capital rules push these institutions to hold duration on the asset side to match. When equity markets rally and pension funded status improves, pensions de-risk by rotating from equities into long-duration fixed income. That flow can act as a structural force in the back end of the curve. The 2022 UK gilt episode exposed the fragility of LDI on the way down. The slow grind of pension de-risking is the same mechanism on the way up.

We do not load on it tactically because the pace is wrong for our timeframe. We work on a three-to-six-month horizon. Pension de-risking is a multi-year flow. The signals are slow, the data lags, and the conviction that any individual quarter shows it cleanly is low. The position sizing implication of getting the regulatory demand piece exactly right over a six-month window is small relative to the position sizing implication of getting fiscal supply or plumbing wrong.

This is on the build list. A multi-factor term premium model that incorporates LDI flows, NAIC capital rules, pension funded status dynamics, and insurer reserve requirements would tighten the framework’s strategic positioning view. That work will ship. It will not ship before May 6.

We tell readers this because the alternative is overclaiming. The 150bps anchor sits on the fiscal supply leg, the duration mismatch leg, the Fed balance sheet leg, the plumbing leg, and the inflation-and-growth path. It does not require the regulatory demand leg to hold up. The pension flow is real, the LDI bid in the back end is real, the insurer reserve dynamics are real. They are simply slow enough that they look like a level shift across the framework’s window rather than a tactical signal inside it. When the model exists, we will fold them in. Until then, the honest answer is that we know the leg matters and we know our framework does not currently price it. That is a statement about our toolkit. The bond market itself is unchanged by it.

May 6 Setup

The Quarterly Refunding Announcement is the most important data point on the rates calendar between FOMC meetings. Treasury announces three things that move the long end. The composition of issuance over the next quarter, broken out by tenor. The guidance on coupon sizes through the rest of the year. And any updates to the buyback program for off-the-run securities.

We are watching four things.

First, the bills-versus-coupons mix. If Treasury continues to lean on bills disproportionately, the framework’s deferral observation gets stronger. Eventual coupon issuance grows, and the trajectory steepens. If Treasury rotates back toward coupons, the front-loaded duration accelerates and the long end has to absorb more, sooner.

Second, the language on average maturity. Treasury Borrowing Advisory Committee minutes and the Assistant Secretary’s statement carry signal about how Treasury thinks about the WAM trajectory. Any acknowledgment of WAM extension as a deliberate policy stance, or of WAM drift as a problem requiring correction, would push duration earlier in the issuance schedule.

Third, buyback program guidance. Buybacks remove off-the-run duration from the market, support liquidity in older issues, and at the margin shift duration absorption from real-money to dealer balance sheets. Expansion of buybacks would be incrementally bullish for back-end yields. Contraction or flatlining would be neutral.

Fourth, the dealer-tone tells. The TBAC minutes are released alongside the announcement and they carry the dealer community’s read on absorption capacity over the next quarter. Language about indirect demand softening, about dealer balance sheets bloating, or about specific tenors where issuance increases would be challenging is the kind of detail markets price within hours. The minutes are not flashy. They are the closest thing we have to a primary-source assessment of where the duration capacity actually is, written by the people who clear it.

The framework’s destination does not move on May 6. The pace can.

Invalidation

The framework can be wrong. Here is what would tell us so.

If term premium retraces below 40bps without a return to QE or a material foreign demand surge, the framework is wrong. The drivers we model would have to be overwhelmed by a force we have not identified, and that would mean the structural story is incomplete.

If the federal deficit narrows to below 4 percent of GDP through either revenue growth or expenditure restraint, the fiscal supply leg weakens materially. We do not consider this a base-case path under current policy, but a sustained move below 4 percent would force a reweight.

If Treasury executes a meaningful WAM extension over the next six to twelve months, accelerating coupon issuance and absorbing duration earlier than expected, the back-loaded supply story compresses. The framework still calls for higher term premium, but the path becomes faster and the destination potentially moves.

If inflation expectations re-anchor materially above target, with 5y5y breakevens persistently above 2.5 percent, then 150bps becomes a floor rather than a target, and the framework’s call understates the destination.

If the Fed restarts QE as a response to plumbing stress, the term premium repricing pauses or partially reverses for the duration of the program. The destination still holds. The path is interrupted.

We watch these. If any of them register, we revise.

Bottom Line

Term premium has reflated from a regime-driven anomaly to the floor of the prior distribution. The conditions facing the bond market in 2026 are not the conditions of 2005. The framework reads 150bps as the honest level given fiscal supply, duration mismatch, post-QT plumbing, and a re-anchored inflation regime with wider variance.

We are at 70bps. We see 150bps as the destination. May 6 does not move the destination. It sets the pace.

The reaction function we are watching is straightforward. A bills-heavy refunding with neutral coupon guidance and a steady buyback program is the path of least resistance, and it leaves term premium grinding higher week by week as supply hits a buyer base that is no longer subsidized by the Fed. A rotation toward coupons or an acknowledgment of WAM extension as deliberate policy is the path that pulls forward the back-end repricing, with the 30-year typically leading the move and the 10-year following within a session. A surprise announcement of expanded buybacks is the path that compresses term premium short term and gives the framework’s destination a slower glide. We are positioned for the first path and watching for the second.

The base case is repricing higher. The risk is that the pace is faster than the position size assumes.

That’s our view from the Watch. We’ll keep the light on...

Inside investment, the split sharpens further. The BEA flagged increases in equipment, intellectual property products, and private inventory, partly offset by decreases in residential and nonresidential structures. That decomposition is itself the AI capex fingerprint. Equipment and IP products are where information processing hardware and software live in the national accounts. Structures are everything else the investment economy traditionally builds. One side accelerated. The other rolled.

The AI build is the splitter. Most coverage runs through model releases, GPU backlogs, and earnings-call superlatives, all of which are downstream. Upstream, AI is a capital cycle, and capital cycles show up in standard macro data: investment shares, industrial production, relative prices, inventories, and the credit and liquidity that underwrite duration. The macro question is whether the shock is large enough to matter beyond tech.

Our read this morning is that it already does. Just not evenly.

Members research. Read the full piece at https://lighthousemacro.com/research/ai-is-fragmenting-the-cycle.html or open it in Pharos.

Consensus is reading the rally as confirmation that the soft landing is intact. Earnings carried it. The AI complex carried it. Pre-FOMC blackout did the rest.

The framework reads it differently. The same readings that say structure is back also flag two divergences underneath. They both crossed our warning thresholds in the last two weeks. Most weeks one of them fires. This week both are firing at the same time.

Members research. Read the full piece at https://lighthousemacro.com/research/the-rally-has-two-tells.html or open it in Pharos.

There are weeks where a lot of small things happen, and there are weeks where the whole economic story compresses into a single window. This is the second kind. Over the next ninety-six hours, we get the Federal Reserve decision, the four largest companies in America reporting earnings, and the three biggest data releases of the quarter. Most of it lands inside thirty hours starting Wednesday afternoon.

The reason it matters has been building for two months. The headline economy has looked fine. Earnings are growing at double digits for the sixth straight quarter. The unemployment rate has not moved. Consumer spending has held up. But underneath all of that, the data we watch most carefully has been telling a quieter story. Hiring has slowed to a level we have not seen outside recessions. Workers have stopped quitting their jobs at a rate that says they do not believe they could find a better one. Credit markets, the parts of finance that tend to flinch first when the cycle turns, have stayed completely calm.

That gap between what the surface says and what the flows say is the thing this week is going to test. Either the surface is right and the flows are noise, or the flows are right and the surface is about to follow. The data over the next four days will tell us a lot about which one it is.

The shape of the week

The architecture is unusually compressed.

Tuesday morning brings consumer confidence numbers. The University of Michigan series finalized at a record low for April. Conference Board confidence sat near 92 in March. Whether households are pulling back on spending, or whether this is sentiment running ahead of behavior, is one piece of the puzzle.

Wednesday is the spine. The Fed announces its rate decision at 2pm Eastern. Chair Powell holds his press conference at 2:30. Then between 4pm and 5:30, four of the five largest companies in America report earnings: Microsoft, Meta, Alphabet, and Amazon. Together they will tell the market how much they plan to spend on artificial intelligence infrastructure in 2026. That number, more than anything Powell says, will move the entire AI-adjacent economy on Thursday morning.

Thursday morning is the data triple. At 8:30am the government releases first-quarter GDP, March inflation through the Fed’s preferred measure, and the Employment Cost Index, which tracks how fast wages are rising. Apple closes the earnings cluster after the bell. Friday’s manufacturing survey tidies up the week. The April jobs report and the March JOLTS print fall outside this window, releasing the following week. The convergence we care about is FOMC, hyperscaler capex, and the Thursday data triple. All of it lands inside thirty hours.

Five trading days. Four pieces of our framework getting tested in real time. We have spent the year mapping the cycle. Now the cycle reads back.

Powell’s last podium

Markets are pricing roughly a 98 percent probability the Fed holds rates steady on Wednesday. We agree. There is no path to a rate cut with headline inflation at 3.3 percent year over year, gasoline prices climbing on the back of the Iran supply shock, and crude back near triple digits.

What matters is the tone. The April meeting does not include the Fed’s quarterly economic projections, which means every word in the statement and every Powell answer carries more weight than usual.

Three things are worth listening for.

First, whether the statement keeps describing risks as roughly two-sided. The March meeting framed it that way, which gave the Fed room to move in either direction without committing to anything. We expect that frame to hold. It is the language of a central bank that wants to signal patience.

Second, whether Powell repeats the line he used at Harvard at the end of March. He explained that supply shocks like the oil disruption tend to fade by the time monetary policy could respond to them, and so the right move is to look through them. Here is exactly how he put it: “By the time the effects of a tightening in monetary policy take effect, the oil price shock is probably long gone, and you’re weighing on the economy at a time when it’s not appropriate. So the tendency is to look through any kind of a supply shock.” That sentence is the Fed’s permission slip to ignore the gasoline-driven inflation print. If Powell repeats some version of it, the market reads patience. If he hedges, expectations for cuts later this year fade.

Third, whether the Fed signals anything about its balance sheet. The technical name for what ended in December is quantitative tightening, but what it really means is that the Fed had been letting bonds roll off its books for two years and stopped doing so. Since December, it has been quietly buying around forty billion dollars of short-term Treasury bills per month, which is supposed to wind down in May. The plumbing of the financial system is calm but thin. Bank reserves have been rebuilt from a stress trough last October, and the buffer that used to absorb shocks has been functionally drained.

This is most likely Powell’s last press conference as Chair. His term ends May 15. Kevin Warsh has been named as his successor, with Senate confirmation pending. We do not expect Powell to use the moment for theater. He is institutionalist by temperament, and the institution is what he has been protecting all year.

The internal composition of the committee has already shifted under the surface. On one end, Cleveland’s Beth Hammack is the only voter publicly entertaining a hike. On the other, Michelle Bowman has emerged as the dovish anchor, with multiple cuts in her March projections submission. The most interesting voice is Austan Goolsbee, who has historically been the most cut-friendly member in the room. He told Semafor in mid-April that if the oil-shock inflation lingers, cuts get “pushed out of ‘26” entirely. When even Goolsbee gives up on cuts this year, patience is the path of least resistance for the chair.

The capex print is the macro print

We have written before that hyperscaler capital expenditures are now a macro variable, not a tech-sector variable. What that means in plain English is that the spending plans Microsoft, Meta, Alphabet, and Amazon announce on Wednesday night will move the entire industrial economy on Thursday morning. Semiconductors, power infrastructure, data center real estate, utilities, copper, natural gas, all of it.

The arithmetic is the easy part. The four hyperscalers spent roughly $230 billion on capital expenditures in 2024. They spent roughly $350 billion in 2025. Their guides for 2026 add up to somewhere between $610 billion and $640 billion. At that level, four companies are spending the equivalent of nearly two percent of US GDP on what is mostly AI infrastructure. There is no precedent for this in any prior tech cycle.

What we are watching Wednesday night is whether any of these guides flinch.

Amazon is the cleanest tell. Its cloud business, AWS, is the part of the company that powers most of the AI demand the others are also chasing. If AWS grows above thirty percent and Amazon raises its 2026 capex guide, the AI cycle extends. If AWS slows toward twenty-five percent and the capex guide stays flat, that is the first crack in the story.

Meta carries a different question. The company has built itself a $115 to $135 billion capex envelope for 2026, and the question is whether ad revenue can carry that without margins compressing. Reality Labs, the part of the company building the metaverse, lost more than nineteen billion dollars across 2025. Meta is the largest single-stock event of the night.

Microsoft and Alphabet are both spending at rates that are reshaping their financials. Microsoft has said capacity, not demand, is the binding constraint on its cloud business. Alphabet’s earnings per share are actually expected to decline this quarter despite revenue growth, because the depreciation schedule on all the new data center capacity is now hitting the income statement. Both companies are showing what it costs to be in the AI infrastructure race.

The capital intensity ratios make the story concrete in a different way. Capex as a percentage of sales now runs roughly 86 percent at Oracle, 54 percent at Meta, 47 percent at Microsoft, 46 percent at Alphabet, and 25 percent at Amazon. Bank of America’s credit team estimates that AI-related capex consumes roughly 94 cents of every dollar these companies generate after dividends and buybacks across 2025 and 2026, up from 76 cents in 2024. Barclays models Meta’s free cash flow falling roughly 90 percent in 2026. The cycle is being financed by what is left after capital returns to shareholders, and what is left is shrinking.

There is one more wrinkle to all of this that does not get enough attention. The double-digit earnings growth we mentioned at the top is real. It is also extremely concentrated. The S&P 500’s blended growth rate of fifteen percent gets driven by the Magnificent Seven at twenty-three percent. But strip out Nvidia alone and that group falls to six percent, which is below the rest of the index at ten. The “everything is great” earnings tape is, on closer reading, an “AI infrastructure is great, plus Nvidia” tape. The rest of the S&P 500 is far more sensitive to consumer and labor conditions than the platforms are. And the consumer data is not great.

Three releases, one signal

Thursday morning at 8:30am, the government releases GDP, the inflation print, and the wage data inside the same minute. The market gets one number for growth, one number for inflation, one number for wages. The triangulation between them is what tells us where the economy actually is.

GDP first. The Atlanta Fed’s running estimate for the first quarter has drifted from a healthy three percent in late February down to roughly one percent. The St. Louis Fed’s version of the same exercise tracks closer to two and a half percent. Most of the gap reflects different ways of treating the surge in imports we saw in early 2026, as companies front-loaded purchases ahead of tariff actions. A print near one and a half percent, with consumer spending holding up, is the soft-landing read. A print under one percent, paired with hot inflation, is the start of a different conversation entirely.

Inflation second. The measure the Fed actually targets, called core PCE, has held steady around three percent year over year. The piece of it that matters most for monetary policy is what gets called the “supercore” reading, which strips out housing because housing tends to lag everything else by twelve to eighteen months. Anything in the high 0.3s on the monthly supercore reprices the cuts curve hawkishly. Anything at 0.2 or below buys the Fed more time. There is a quieter measure published by the Dallas Fed that trims out the most volatile categories on either side, and it has been running closer to two and a half percent. That is the calmer read on inflation, and it is probably the one Powell will privately weight.

Wages third. The Employment Cost Index has been cooling on a steady glide path for six quarters. The most recent print at 0.7 percent was the softest reading since 2021. A print at 0.7 again confirms wages are no longer adding to inflation pressure and gives the Fed cover to ease later this year. A print at 0.9 breaks the cooling trend and complicates everything.

The market reaction on Thursday morning is going to be asymmetric. A clean trio (growth around two percent, inflation cooperating, wages soft) is the soft landing. Equities hold the bid, the yield curve steepens a little, the dollar drifts. A bad trio (weak growth, hot inflation, hot wages) is the stagflation tape, and it will not be subtle. Yields rise on both ends, equities sell. The most likely outcome is somewhere in between: data that confirms the framework directionally without forcing the Fed’s hand or anyone else’s.

The flows tell the truth

We have written about this before, but it is the central argument of the year, so it bears repeating. Most of the time, the headline employment number does not lead the cycle. It lags it. The level of unemployment moves up only after the economy has already turned. What turns first is the flows: how often workers are getting hired into new jobs, how often they are quitting their current ones to look for better ones.

The flows have been telling a story all year that the headlines have not.

The hire rate, which measures how often workers are getting new jobs each month, sits at 3.1 percent. That is a level we have only seen at the worst moments of the global financial crisis and during the depths of the 2020 lockdown. It means the engine that absorbs displaced workers in normal recessions, the willingness of other employers to hire them, has slowed to crisis levels. Even though no one is being laid off in big numbers, the second half of the equation, the part that tells you how easy it is to find a new job, has effectively gone offline.

The quit rate tells the same story from the worker’s side. When workers feel confident, they quit jobs they do not like to find better ones. The quit rate at 1.9 percent has been sitting at or below 2.0 percent for eight straight months. Workers are staying put. They do not believe they could find a better job easily. That is not a level-of-employment story. That is a confidence story, and it tracks what would normally be the early warning signs of a turn.

So why has the unemployment rate not moved? Because layoffs have not started. Initial jobless claims, the weekly read on layoffs, are sitting at completely benign levels. The labor market has settled into what one Fed official called a “low-hire, low-fire” equilibrium. Nobody is hiring much, but nobody is firing much either.

The reason the framework worries about this state is that it is structurally fragile. When employers eventually pivot from “we are not hiring” to “we are reducing headcount,” there is no second job market for displaced workers to absorb into. The hire rate that absorbs them in normal recessions is not there. We can already see the early signature of that fragility in another piece of data: how long the average unemployed person stays unemployed. The share of unemployed people who have been out of work for more than six months is rising even as the headline unemployment rate is not. Duration is the early signal.

The announced layoffs that have not yet shown up in jobless claims also tell a story. Challenger reported roughly 60,000 announced job cuts in March, with AI cited as the reason for a quarter of them, up from ten percent in February. Tech-sector cuts ran roughly 18,700 in March alone, with the first quarter total up forty percent year over year. None of that has reached the weekly claims data yet because severance windows and retention payments smooth the timing. It will.

This is what we mean when we say flows lead and stocks lag. The flow data has been saying the labor cycle has turned for six months. The level data has not said it yet. The credit market, which prices off the level data, has stayed calm. That gap is the thing the framework is built to read.

The credit-labor gap

Investment-grade corporate bond spreads (the extra yield investors demand to lend money to companies versus to the government) sit near 80 basis points, the tightest level in roughly thirty years. High-yield spreads, the version for riskier borrowers, sit near 285 basis points, inside levels we have seen only twice in the last twenty years: May 2007 and July 2021. Both prior episodes turned out to be peak complacency.

How can credit be this calm with labor flows this weak? The answer is mostly technical. Credit spreads do not need labor to be strong. They need defaults to be low. Companies refinanced most of their debt in 2024 and 2025 at lower rates, and corporate balance sheets are sitting on plenty of cash. Near-term defaults look benign, and credit is correctly pricing that.

What credit is not pricing is the cyclical risk that follows once labor turns. The two-month lag between when labor flows weaken and when defaults begin to rise is the gap we are watching. Right now, one market is reading the level signals (everything is fine), and our framework is reading the flow signals (this looks late-cycle). Both can be defensible at the same time. They cannot both stay defensible forever.

The thinning of the consumer’s savings cushion is the same gap, viewed from a different angle. The headline personal savings rate sits at four percent, down from five and a half a year ago. Our “Two Economies” piece on April 20 walked through the composition of that aggregate. The top decile of US households is saving roughly eighteen percent of income off appreciating asset bases. The bottom sixty percent is saving 1.2 percent and rolling balances on revolving credit. The four percent headline is camouflage. The household sector has been spending against a thinning buffer for a year, and the cushion is mostly gone for the people who do not own stocks.

The Treasury market is too quiet

There is a number called the term premium, which sounds technical but is not. It is the extra yield investors demand for the risk of lending the government money for ten years instead of rolling shorter-dated debt over and over. When the term premium is high, it means investors see real risk in long-duration government debt. When it is low, they do not. Right now it sits near 70 basis points, up from 40 a year ago, but our framework points to a level closer to 150 basis points as the honest one given how much the federal government is borrowing, the heavy reliance on short-term bills inside that mix, and the gradual fading of foreign demand. The trajectory is right. The pace is the question.

The next catalyst is a Treasury announcement on May 6, the week after this one. The market is watching for one specific change: whether Treasury drops the language that has been telling investors coupon auction sizes will not increase “for at least the next several quarters.” If that line gets removed, long-term yields rise immediately as investors price in more supply ahead. If it stays, the long end stays anchored.

Bond market volatility, captured by what is called the MOVE Index, sits more than forty percent below its year-ago level. That is a remarkable level of calm given how much risk the framework sees brewing underneath. Some of that calm is real, and some of it is technical: vol-targeting strategies and Fed forward guidance both suppress measured volatility. The absence of a wobble in the Treasury market should not be confused with the absence of risk in it.

The oil overlay

Oil deserves a paragraph and not the spine. The 2026 supply disruption tied to the Iran conflict pushed crude back near triple digits in late February and has kept it there, with a steady geopolitical premium baked into the curve. Gasoline near four dollars a gallon is the single biggest reason headline inflation lifted to 3.3 percent in March. The Fed’s posture, articulated by Powell at Harvard in March, is to look through it. Oil is not the framework. Oil is the noise that makes the framework harder to read in real time. The signals we want sit in the inflation data on Thursday and in the wage print. If those land soft, the oil shock is doing what supply shocks do: showing up in headlines and not in the structure underneath. That is the read we expect.

What would change our mind

Honesty requires laying out what would force us to revise the framework. Three scenarios.

The first is a clean hyperscaler capex blow-out on Wednesday night. If Amazon raises its 2026 spending guide aggressively, Alphabet does the same, and Meta tightens to the upper half of its envelope, the AI capital cycle extends another four to six quarters. That spending feeds through the industrial economy, lifts the breakeven rate of payroll growth, and arguably defers the labor-flow reckoning we have been tracking. The bullish read on business conditions becomes the dominant one. Equities rally. The credit-labor gap stops being a mispricing and becomes a recognition that the cycle just got extended.

The second is hot wages paired with soft inflation on Thursday morning. If the Employment Cost Index reaccelerates while inflation cools, the wage-shelter loop we have been tracking breaks in a benign direction. The Fed gets cover to cut on the inflation read while wages support the consumer. That is the cleanest soft-landing scenario, and we cannot rule it out.

The third is high-yield spreads tightening further into the print week. If the credit market absorbs hot inflation, hawkish Powell tone, and weak GDP without flinching, our read on the gap is wrong, and what we see as complacency is actually correct pricing of a low-default regime. We would have to revise our credit framework.

We do not expect any of those three to materialize cleanly this week. The most likely outcome by Friday’s close is some version of the muddle: data that confirms the framework directionally without forcing anyone to reposition urgently. The market continues to price the level signals. We continue to price the flow signals. The gap stays open.

What we will know by Friday

Four reads land between now and the weekend. Each carries asymmetric information.

The Fed and Powell’s tone tell us how close the central bank is to acknowledging the labor flow story. We expect minimal acknowledgment with optionality preserved.

The hyperscaler capex aggregate tells us whether the AI cycle is extending or showing first cracks. We expect extension at the headline level, with widening dispersion in capital efficiency that becomes a 2027 problem rather than a 2026 one.

The Thursday data triple tells us whether stagflation pressure is intensifying or easing at the margin. We expect easing on growth and wages, sticky on inflation.

The manufacturing survey on Friday is the cleanest soft-data read. We expect it to print near a level consistent with mild expansion, with the prices-paid component staying elevated.

The framework does not ask the data to prove a forecast. It asks the data whether the cycle map we have drawn matches the terrain in front of us. By Friday’s close we will know whether the labor flow signal is getting confirmation from earnings, whether the credit signal is starting to wake up, and whether the Fed is moving any closer to acknowledging the asymmetry between what the surface says and what the flows say.

Conclusion

The cleanest test of a framework is when the data converges to a single window. This week is that window. Our read going in is that the labor flow signal is real, the credit market is pricing the wrong cycle variable, the hyperscaler capex super-cycle is real but increasingly capital-inefficient, and the Fed is correctly stuck. None of those views is contrarian taken individually. The combination is.

The wager underneath the framework is that flows beat stocks at the turn. The stock data this week, meaning the headline earnings number, the GDP level, the inflation level, will be loud. The flow data, meaning the trajectory of capital spending, the hire rate the following Tuesday, the wage print, the composition of inflation underneath the headline, will be quieter. If we are right, the noise resolves into the signal we have been tracking all year. If we are wrong, we will know it because the AI capex prints come in flat, the wage data surprises hot, and credit tightens further into all of it. We do not expect that. We are watching for it anyway.

By next Sunday we will have the Fed decision, four mega-cap reports, GDP, the inflation print, the wage print, and the manufacturing survey on the desk. The framework will be either confirmed or strained. Strained is fine. Strained is information. We will report what the data did to the cycle map. The discipline is not the conviction. The discipline is the willingness to repaint the map when the terrain changes.

The terrain has not changed yet.

Every pillar in our twelve-pillar framework is flashing late cycle.

That gap is the story. Price is the last variable to turn. The flows under it turned quarters ago.

This edition runs the diagnostic layer pillar by pillar. Sixty charts across twelve pillars, tracking where the fragility is concentrated, where it is not, and how the internals are diagnosing the distribution in real time. Composite synthesis returns next Chartbook. For this one, we let the indicators do the work.

What the data says

Labor is freezing, not cracking. Quits at 2.0%. Hires at 3.2%. Layoffs still historically low at 1.1%. The market isn’t breaking, it’s seizing up. Temp help is 38 months inside the recession signal. At some point the firing means something.

Members research. Read the full piece at https://lighthousemacro.com/research/the-fragile-record.html or open it in Pharos.

The S&P 500 closed at 7,137.90 on Wednesday, a fresh record. JPM lifted year-end to 7,600 on Monday. The VIX just completed a 44% compression in three weeks, from 31.05 on March 27 to 17.48 on April 17, one of the sharpest on record. The tape reads clean.

The internals do not. Our Market Structure Index has moved from −1.03 on April 1 to +1.38 on April 22. Two and a half standard deviations in three weeks. Structure is chasing price, which is what distribution looks like.

Members research. Read the full piece at https://lighthousemacro.com/research/the-broadening-broke.html or open it in Pharos.

Headlines did their job. The composition is where the story actually lives.

Members research. Read the full piece at https://lighthousemacro.com/research/a-17-print-a-014-tell.html or open it in Pharos.

The Diagnostic Dozen articles stay free. The Beacon stays free. Everything else, Beams, Chartbook, Horizon, model portfolio, moves behind the wall at tomorrow’s bell.

The Beacon · April 20, 2026

On Friday, we wrote the companion piece ahead of schedule. Three other writers had each moved the ball that week, and the conversation was ready for it. We promised the full chart pack would drop Sunday. A weekend hardware issue had other plans. Here it is Monday, with eighteen charts, the methodology, the sources, and where the framework sits today.

Executive Summary

The headline consumer data averages two populations that have almost nothing in common. One is spending down an asset base that keeps appreciating. The other is being repossessed. The aggregate numbers only make sense as statistics. As a description of any actual American household, they are fiction.

This Beacon gathers the eighteen charts we have been building to show that. It updates the January thread, folds in recent contributions from James at JB Macro, Jeff Horwich at the Minneapolis Fed, and Tim Pierotti at WealthVest, and closes with four threshold breaches that just printed in the underlying data.

The four breaches matter. So we lead with them.

The arithmetic of the "resilient consumer" works only because the top half of the distribution is spending a growing asset base and the bottom half is spending borrowed money it cannot repay. Neither is stable. They are only stable together, and only as long as asset prices keep rising and credit keeps extending. The labor data just told us which side of that pairing is cracking first.

Why We Are Writing This Piece Again

We laid out the two-economies framework in January, first in a thread on the 15th, then on Substack the week after. The argument was straightforward: the aggregate consumer data is a weighted average of two populations with almost nothing in common, and treating it as a single number hides the risk.

The conversation has caught up. James at JB Macro traced the equity wealth channel in February and followed up this week, noting that strong equity performance is doing what wages aren’t. Jeff Horwich at the Minneapolis Fed worked through Moody’s, Bank of America, the NY Fed, and the BLS Consumer Expenditure Survey in March and concluded the K-shape debate is unresolved because every source stratifies by income instead of wealth. Tim Pierotti at WealthVest Macro published on the generational wealth transfer this week, the leg of the wealth story almost nobody has quantified.

Each found a channel. James found equity. Tim found inheritance. Horwich found the measurement gap that lets both hide. We would add a fourth piece they have left out: the credit-distress data on the other side of the same K, and the labor-flow data that is now confirming it in real time.

This is the chart-pack version. Eighteen figures, four threshold breaches, one framework. Where Friday was the narrative update, today is the receipts.

One frame to hold in your head as you read: the consumer is a lagging indicator pretending to be coincident. By the time retail sales roll, labor cracked 6-9 months prior, credit stress was visible in delinquency data, and confidence had been deteriorating for two quarters. The consumer does not predict. It validates. This Beacon is about what it is about to validate.

The Wealth Story

The top 10% of US households by wealth own 67% of all household net worth. The top 1% alone own more than the entire bottom 50% combined, by a factor of roughly twelve

This is not new. It has been true for a while. What is new is the degree to which asset prices over the last five years have done the top decile’s saving for them. The S&P 500 is near all-time highs. Home prices for the top tier of the market are at all-time highs. When your balance sheet grows 15% a year unrealized, you do not need to save 8% of your income. Your wealth is saving for you.

James’s JB Macro piece captured this cleanly. The US saving rate fell from 6.1% in Q1 2024 to 4.0% in February 2026 while the UK’s rose, despite both populations facing similar cost-of-living shocks and elevated rates. He estimates that without the drawdown, US nominal GDP would have been roughly 1.5% smaller than it is today. In his follow-up, James noted that the buffer for US households is equity wealth, which is pro-cyclical. Strong equity performance pushes the saving ratio down through the wealth-effect channel.

He is right. But the mechanism is narrower than it first appears, because the 4.0% aggregate is not distributed evenly.

The Savings Story

The consumer cycle runs the same way every time. We call it the Three-Stage Stress Sequence. Stage 1 is Savings Depletion: income growth slows but spending habits persist, so households draw down their buffer. Stage 2 is Credit Substitution: the buffer is exhausted, so credit takes its place. Stage 3 is Spending Collapse: credit dries up or becomes unaffordable, and the spending data finally rolls. Stage 1 is complete. Stage 2 is where we live now. Stage 3 is what the labor print just started to warn about.

The pandemic-era cushion is gone. The SF Fed put aggregate excess savings at roughly $2.1 trillion at peak in 2021. That pool was fully depleted by Q1 2024. Since then, households have been financing consumption by running the saving rate below its 2000-2019 baseline, a stretch now approaching three years.

That is the aggregate. The distributional picture is where the story sharpens.

The top 20% of US households still carries roughly $480 billion of positive excess savings, the residual of pandemic windfalls that mostly landed at the top of the distribution. Every cohort below the top 20% is now underwater versus the pre-pandemic trajectory, with the bottom 20% down $140 billion on its own. The bottom 80% is collectively $380 billion below where its savings trajectory would have been without the last four years. The pandemic did not create a universal cushion. It created a cushion for the top 20% and a liability for everyone else.

That asymmetry shows up in the saving rate by cohort. The top 10% saves roughly 18% of income and is actually saving more than it did pre-pandemic, because the wealth-effect cushion means they do not need the income flow to service their lifestyle. The middle 60% saves close to the aggregate, around 4.8%, down about 2 percentage points from where it ran before 2020. The bottom 60% saves approximately 1.2%, functionally the floor. You cannot save less than your grocery bill.

That distribution tells you that when the aggregate saving rate falls from 7% to 4%, it is not a story about the average American cutting back. It is a story about the top decile drawing on a wealth cushion that grew faster than their income, while the bottom 60% continues running at a subsistence saving rate because there is no slack left.

Look at the relationship between the saving rate and consumer credit growth. The saving rate sits at 4.0%, well below the 8.5% historical average. Consumer credit year-over-year growth has stabilized near 3.2%, but the level has marched higher every single month. What you are looking at is a consumer who has stopped saving and started borrowing to fund the same basket of purchases. Spending growth, at the margin, is being funded by the balance sheet, not the income statement.

The debt service ratio, required debt payments as a share of disposable income, is the receipt for this substitution. It has climbed to 11.3%, above our 10% stretched threshold. The driver is not new borrowing, it is the mechanical repricing of existing variable-rate debt at higher rates. Credit card APRs averaging 22.3% for balance-carriers mean even a flat balance generates a higher payment. More of every paycheck is pre-committed before discretionary spending gets a dollar.

The composition of that spending growth matters more than the total. And that composition, as the next section shows, is lopsided.

Horwich’s Minneapolis Fed piece worked through four major data sources (Moody’s, Bank of America, the NY Fed’s Economic Heterogeneity series, and the BLS Consumer Expenditure Survey) and concluded the K-shape story was ambiguous at best. Moody’s showed a steep K. The NY Fed showed almost none. The BLS CE showed no K, and in 2024 lower-income households actually posted the fastest spending growth of any quintile.

His closing observation is the one to focus on: “data on spending-by-wealth might provide a complementary view of the scale, and the shape, of any divergence in household spending.”

That is the whole answer. The K-shape debate he reviews is inconclusive because every source he examines stratifies by income. Income-stratified data will always look less bifurcated than wealth-stratified data, because wealth in the US is roughly three times more concentrated than income. The top 10% earn about 45% of income. The top 10% own 67% of wealth. Of course the two pictures do not match.

Stratify by balance sheet instead of paycheck and the bifurcation is not ambiguous. It is clean.

There is one more layer before the credit story, and it is the one almost nobody shows you.

Inflation does not hit every income cohort the same way. The top 20%, because a smaller share of its budget goes to shelter, food, and energy, has experienced effective inflation closer to 3.2%. The bottom 20%, which spends a much higher share on those three categories, has faced inflation closer to 6.1%. The spread is 280 basis points. When the headline CPI prints at 3.3% and the Fed declares victory, the top of the distribution has already seen the benefit, while the bottom is still paying rent increases and grocery bills that have not stopped climbing. Inflation is a regressive tax and it has been grinding for three years.

Combine a negative real income story for the bottom 60% with an above-aggregate inflation experience for that same cohort, and the credit data stops being surprising.

The Credit Story

While the top decile spends off asset appreciation, the bottom 60% is running out of runway. The credit data says so directly.

The aggregate auto delinquency rate across all commercial banks sits at 2.70%, well below the GFC peak of 8.2%. The headline looks contained. That is the whole trap. The aggregate averages prime and subprime together, and prime is fine. Subprime is not. Fitch’s Subprime Auto ABS Index puts 60+ day delinquency at 6.9%, the highest since the series began in 1994 and above the 2008-2009 peak. The distinction matters because the stress is not distributed evenly across the borrower pool. It is concentrated in the bottom quartile, the same cohort already visible in the credit-card and student-loan data.

Pull the comparison to the 2008 peak directly and it sharpens. Every subprime auto stress metric we track is now above its GFC peak. 60+ day delinquency: 6.9% now versus 5.2% at the 2008 peak. Repo rate: 3.8% now versus 2.9% then. Negative equity (borrowers who owe more than the car is worth): 24% now versus 22% then. The subprime auto market is in worse shape today than it was heading into the financial crisis, and that is with the S&P at record highs and the unemployment rate still under 5%.

Vehicle repossessions hit 1.73 million in 2024. The 2009 peak was 1.77 million. We are effectively at post-crisis levels in a non-crisis macro environment. Auto loans are a particularly clean signal because Americans generally pay the car loan last. It is the vehicle to the job. When repossessions rise, it means households have exhausted credit cards, skipped rent, maxed out buy-now-pay-later, and finally defaulted on the bill they try hardest to protect.

It gets more specific.

Across the consumer credit stack, delinquency rates are rising. Credit cards lead at 2.94%, up 33 basis points versus Q4 2019. Consumer loans broadly are at 2.62%, up 31 bps. Auto loan delinquencies at 2.70%. Mortgage delinquencies, where underwriting tightened materially after 2008, are at 1.78% and essentially flat versus pre-pandemic. Business loan delinquencies are also subdued at 1.34%, which is a clue. The stress is concentrated on the consumer, not the business, side of the balance sheet.

Relative to the Q4 2019 pre-pandemic baseline, every loan category is showing stress, but student loans dominate. New delinquency transitions on student loans are 691 basis points above 2019. Credit cards are 174 bps above. Auto is 79 bps above. Mortgages are 35 bps above. Basically flat.

The stress is building from the bottom of the household balance sheet up. Unsecured consumer credit is where it shows first because it is where the working-age cohort has the most exposure and the thinnest collateral.

Tim’s piece argues that “the money center banks all said basically the same thing about consumer spending and credit quality, which is that they see no slowdown and no signs of emerging credit weakness.” That is accurate for bank balance sheets. Prime consumer portfolios are fine. The weakness does not show up in JPMorgan’s 10-Q because JPMorgan does not carry subprime auto paper or the bulk of the student loan book. It shows up in Experian, Cox Automotive, and the NY Fed Consumer Credit Panel. Different data, same population.

The Labor Story

You would expect a labor market signal to precede credit stress of this magnitude. It is there. You just have to look underneath the BLS headline. And as of the data we pulled this weekend, it is no longer quiet.

The quits rate just broke through 2.0%. JOLTS February print: 1.9%, down from 2.0% a year ago. This is the first time this cycle we have been below our 2.0% pre-recessionary threshold. The quits rate is the cleanest read on worker confidence there is. Workers quit when they believe they can find a better job. They stay when they are scared. They just stopped quitting.

Long-term unemployed share at 25.2%. Above our 22% structural fragility threshold, up 4.2 percentage points in twelve months. The pool of people who have been unemployed 27 weeks or longer is now a quarter of the unemployed population. These are the workers the labor market has the hardest time reabsorbing. They are also, disproportionately, the bottom-60% cohort whose credit data we just walked through.

The sharpest read on this dynamic comes from ADP’s Main Street Macro piece last week. Turnover at employers with fewer than 50 people fell to 3.9% in March, the lowest reading in the nine years ADP has tracked it. The last-three-year baseline for all private employers has run near 4.7%. A separation rate that low is not a sign of health. It is the signature of workers who have concluded there is nowhere better to go.

Two things matter here. First, the composition. Nela Richardson notes that in February and March, small employers accounted for nearly all net private-sector job gains, even as overall turnover collapsed. That is a bifurcation inside the labor market: stasis at the worker level, dynamism concentrated at the one segment of employers most vulnerable to macro shocks. Second, the direction. Low turnover supports spending in the short run because paychecks keep flowing. Over time it starves the labor market of the reallocation that drives wage growth and productivity. The short-run comfort is exactly what sets up the long-run problem.

The long-term unemployment share is the slow-moving part of the labor data. It does not spike on a single jobs report. It climbs. And it has been climbing for eighteen months. A worker who has been unemployed for six months is statistically unlikely to return to the labor force at prior wages. A growing share of long-term unemployed is a growing share of the labor market being written off, quietly, in the background of headline unemployment numbers that still read fine.

And the composition of that long-term unemployment is not random. Workers 55 and older carry a 31% long-term unemployment share, the highest of any demographic cohort. When older workers lose a job, they usually do not get another one at the same wage. That 31% figure is not a queue. It is a cliff. Black workers, separately, carry a 7.5% U-3 rate and a 28% long-term share, both among the highest in the data. The headline unemployment rate of 4% averages all of this together into a number that, by cohort, nobody is actually experiencing.

And then the income math.

Aggregate weekly payrolls, the product of employment times hours times wages, is growing +3.7% nominal year-over-year. Real, after deflating by CPI at +3.3%, that is +0.4%. Near zero. The tailwind that funded consumer spending through 2023 and 2024 is effectively gone. The top quintile does not care because the top quintile’s income does not come primarily from wages. The bottom 60% does care, because wages are close to the whole thing.

Average weekly hours are flat at 34.2. Temp help payrolls are down 2.1% year-over-year, approaching the -3% threshold we watch as a recession precursor. Initial claims four-week moving average sits at 209,750, still below the 230,000 stress level, but continuing claims are sticky at 1.82 million.

And then the revisions. The January 2026 benchmark revisions subtracted 898,000 jobs from the 2025 totals. The average monthly gain for 2025, after revisions, was just 15,000. Not the 150,000-to-200,000 that was reported in real time. Fifteen thousand. That is not a labor market growing. That is a labor market that was not growing and nobody knew it until the benchmark caught up to the truth. The current month’s print, whatever it says, has to be read through that lens now. The prior year was softer than it looked, and the current trend is softer still.

Horwich notes, correctly, that the K-shape in spending data is inconsistent across sources. But the labor market tells us something the spending data cannot. The capacity of the bottom cohort to keep spending is being eroded right now, even if the current month’s card-swipe data has not fully reflected it.

This is what the Labor Fragility Index (LFI) is built to measure: z-scores of long-term unemployment share, the inverse of the quits rate, and the inverse of the hires-to-quits ratio. All three components moved the wrong way in the February print. The LFI is rising. The credit data has been screaming for a year. The labor data is now confirming it.

Which brings us to the cleanest signal in the pack.

The Credit-Labor Gap

We define the Credit-Labor Gap as z(HY OAS) - z(LFI). It answers a single question: does the credit market agree with the labor market about how fragile the economy is?

Right now, it does not.

High-yield option-adjusted spreads closed April 16 at 286 bps, through our 300 bps complacency threshold. Spreads tightened 116 bps over the past twelve months despite what just happened underneath. The Labor Fragility Index moved in the opposite direction over the same period.

When we compute the gap, the result is -1.68. Our threshold for “credit ignoring fundamentals” is -1.0. We are 68 basis points of z-score past that.

One of these two markets is wrong. Credit is pricing a soft landing that the labor data no longer supports. If the labor data is right, credit will reprice. If credit is right, the labor data has to reverse sharply, which means quits have to rise, long-term unemployment has to fall, and small-firm employment has to recover, all simultaneously and in the next print or two. We can see the path for credit to be right. We do not see the data.

This is the sibling signal to the Credit-Growth Gap we introduced on Friday. Same mechanic, different pair. Credit spreads have tightened into a macro environment the rest of the data is not confirming. Spread-widening when the correction comes will be faster than the tightening was.

The Spending Story

The macro cohort data flows directly into the consumer tape, and the consumer tape confirms the bifurcation.

Luxury retail (Tapestry, LVMH, Ferrari) is up 17% since January 2022 on an indexed basis. Dollar stores (Dollar General, Dollar Tree) are down 9% over the same period. The two lines have diverged monotonically. Ferrari just raised guidance. Dollar General just cut. Walmart is gaining wallet share from Target because middle-income consumers are trading down. LVMH’s US revenue is growing. Dollar Tree’s traffic is breaking lower.

The aggregate PCE number of +2.6% real year-over-year masks this. Real PCE at the top quintile is probably running +4% or higher. Real PCE at the bottom quintile is flat to negative. The average describes an economy that does not exist for most participants.

Under the PCE hood, the composition is already rolling. Durable goods spending is contracting at -1.8% YoY. Services are still growing at +2.4%. Durables turn first at cycle inflections because consumers defer big-ticket purchases before they cut groceries. You do not need a new car this quarter. You do need to eat. Durables negative while services positive is the classic late-cycle handoff, and the spread has now been widening for two quarters.

Confidence is the part of the picture that rhymes with the spending composition. UMich sentiment sits at 57.3, deep in weak territory but off its December low of 53. The Conference Board’s Expectations Index, which is the sharper recession signal historically, has collapsed to 65.1. Our threshold is 80. The CB Expectations Index dropping below 80 has preceded every recession since 1970 by 6 to 12 months. We are 15 points past it. Present conditions still look okay. Forward expectations are not.

The Inheritance Story

And now to Tim’s point, which is the most important one nobody has been properly measuring.

Cerulli estimates roughly $2 trillion a year is transferring between generations right now. That is not a future event. It is a present-tense income stream for a specific cohort of younger Americans.

Tim’s specific contribution, and it is a real one, is quantifying this channel’s impact on housing.

Per Redfin, up to 40% of first-time homebuyers used a gift or inheritance to make the down payment. Zelman puts the figure for all buyers at roughly 30%. Tim’s back-of-envelope math suggests down-payment assistance alone adds about 50 basis points to discretionary spending, because the income that would have gone to saving for the down payment now goes to consumption instead.

That is the channel James did not reach and Horwich flagged but could not measure. It is not just top-decile equity wealth funding consumption directly. It is also intergenerational transfer. Wealth migrating down a generation, landing disproportionately on Millennials and Gen X, and converting into home purchases and consumption that income-stratified data has no way to attribute to its source.

Tim’s framing is sharper than ours would be: “betting against the US consumer is like betting on the Jets to beat the Patriots. It almost never works.” He is right on the aggregate, and for the same reason James is right on the saving rate. The top half of the distribution is subsidizing the headline.

But his essay stops one step short of the full picture. Tim is describing the wealth-advantaged subset of the “bottom 60% by income,” the Millennials with parents who own a home and a 401(k). That cohort is real and growing. What his piece does not address is the rest of that bottom 60%. The cohort without wealth to inherit, that is funding consumption off credit instead of capital, and whose repo volume just matched post-GFC levels.

The two cohorts look identical on an income chart. They look very different on a balance sheet. The aggregate consumer data averages them together and calls it resilience.

The Housing Bridge

Housing mirrors the rest of the story and lets you see the two economies side by side in a single asset class. Luxury homes (top 10% of the price distribution) are up 2.4% year-over-year with an average 45 days on market. Entry-level homes are down 8.6% year-over-year with 95 days on market. The luxury tier is running 50 days faster through inventory than the bottom tier, and the price direction is opposite. These are not two ends of the same market. They are two markets.

The mechanism is straightforward. Top-tier buyers are cash-rich, often funding purchases from equity portfolios or inheritance transfers. Bottom-tier buyers are rate-sensitive and credit-constrained. The 30-year mortgage rate at 6.3% effectively locks out the bottom half of the first-time buyer market, while the top half does not feel it. The frozen equilibrium our Housing pillar describes is frozen more at the bottom than the top.

This is the channel that connects the K-shape to the real economy with the shortest lag. If the top-tier housing market rolls over, the wealth-effect channel James identified stops working. The saving rate does not just stabilize, it has to rise, because the top decile’s asset cushion stops compounding. And the aggregate PCE number that has been running +2.6% real falls hard, because the top quintile accounts for roughly 40% of total consumer spending.

Synthesis

James saw the equity wealth channel. Horwich saw the measurement gap. Tim saw the generational transfer channel. We would add the credit-distress data on the other side of the same K, and the labor-flow data that is now confirming it in real time.

The common feature across the first three: all are describing the same population. Wealth-advantaged households whose spending is decoupled from their current income. Whether that wealth arrives via equity gains, home appreciation, inheritance, or expected inheritance is secondary. The common feature is that current income is not the binding constraint.

Simultaneously, the bottom 60% of households by wealth are showing the credit distress you would expect in a mid-recession. Repo volume matching post-GFC levels. Student loan delinquency transitions seven times pre-pandemic levels. Quits rate through 2.0%. Long-term unemployment share through 22%. These households cannot quit spending entirely because rent and groceries are not optional, but they also have no slack left to absorb another shock.

Both things are the same thing. The aggregate looks “resilient” because the top half is spending a growing asset base and the bottom half is spending borrowed money it is increasingly unable to repay. Neither is a stable state, but they are stable together as long as asset prices keep rising and the credit system keeps extending.

The labor data just moved. Not decisively, but it moved. Quits through threshold. LT unemployed through threshold. Real aggregate payrolls near zero. The Credit-Labor Gap at -1.68.

One wildcard sits on top of all of this: the tariff pass-through. Businesses absorbed roughly 80% of tariff costs through 2025, which protected the CPI print but compressed corporate margins. That absorption is projected to shrink to roughly 20% as the effective tariff rate, now at 11.8% (Yale Budget Lab, April 6), works through pricing decisions later this year. The arithmetic flips from margin pressure to price pressure, and it lands disproportionately on the cohort with the least room to absorb it. A bottom-60% consumer already running a 1.2% saving rate and a 6.1% effective inflation rate does not have the balance sheet to eat a second leg of goods inflation. That is the scenario where Stage 2 goes straight into Stage 3 without waiting.

If the Fed had a labor mandate free of political crosswinds, this is the data print they would start cutting into. Whether they do is a separate question.

The Framework Behind The Charts

For readers new to the framework, this is Pillar 5 (Consumer) of our Diagnostic Dozen, integrated with Pillar 1 (Labor) and Pillar 9 (Financial). The full Consumer post is here.

The Consumer Conditions Index (CCI) is a seven-component composite. Each component is z-scored against its own history, then weighted by its measured contribution to forward PCE. The components are real PCE year-over-year, the personal saving rate, retail sales control, credit card delinquency (inverted), UMich sentiment, real disposable personal income year-over-year, and the household debt service ratio (inverted). Spending momentum and the saving rate do most of the work. Sentiment and the debt service ratio sit at the bottom of the stack because neither leads forward PCE cleanly enough to give them more room.

The Labor Fragility Index (LFI) is built from three inputs: the z-scored share of long-term unemployed, the inverse of the quits rate, and the inverse of the hires-to-quits ratio. The three are weighted roughly in balance, with a modest lean toward the flow measures.

The Credit-Labor Gap takes a definitional shape:

CLG = z(HY OAS) - z(LFI)

A difference of two z-scores, not an optimized composite. When the number goes materially negative, credit is pricing a softer labor market than the labor data describes.

Charts in this pack were built from the Lighthouse Master Database (~2,100 series, refreshed daily from FRED, BLS, BEA, NY Fed, OFR, Yahoo Finance, AAII, Zillow, and TradingView). Wealth-distribution data comes from the Fed’s Distributional Financial Accounts. Household credit data comes from the NY Fed’s Quarterly Household Debt and Credit Report. Subprime auto data comes from Fitch Ratings’ ABS tracker. Repossession data comes from Cox Automotive. Luxury and discount retail splits come from company filings and Yahoo Finance price data.

The component architecture is public. The exact weights, z-score windows, and signal-cleanup rules for every composite are proprietary to paid subscribers.

What Would Change Our Mind

This framework has clear invalidation criteria.

The wealth-effect channel dies when asset prices stop rising. If the S&P 500 breaks its 200-day moving average decisively, and Zillow’s top-tier home price index goes negative year-over-year, the top decile’s wealth cushion stops compounding. James’s nominal GDP math runs in reverse. This is a quarters-level event when it happens, not weeks.

The credit-distress channel inverts if small-firm employment turns up. If ADP shows small-business hiring recovering (not just stabilizing), the squeeze on the bottom 60% eases, delinquencies peak, and the two-economies frame loses half its force.

The transfer channel weakens if equity markets and housing both correct at the same time. Tim’s +50 bp discretionary spending contribution assumes the wealth being transferred is broadly stable. In a simultaneous equity-plus-housing drawdown, the transfer intensity falls.

The labor signal reverses if quits print back above 2.0% and LT unemployed share falls back below 22% in the next JOLTS and household survey releases. A single month’s move is not a trend. We need confirmation.

The Credit-Labor Gap closes if HY OAS widens meaningfully above 350 bps within the next 30 days. That would tell us credit has caught up to the labor signal, and the gap has closed the honest way.

If all three consumer channels unwind simultaneously, the “resilient consumer” becomes the “sudden consumer” in a hurry, because each of these channels is currently doing the work that weak real income growth is not.

The Bottom Line

The consumer cannot quit for the same reason risk assets cannot quit. Asset prices are doing the work that wages are not. Tim is right that betting against the aggregate is betting on the Jets. We would add: the game the Jets are actually playing is two different games at once, and only one of them is being scored.

The 4.0% saving rate is not a number about the American consumer. It is the arithmetic mean of a top decile saving 18% off a mountain of appreciating wealth, and a bottom 60% saving 1.2% because 1.2% is the floor. An average with that much underlying variance is not a data point. It is camouflage.

The consumer is the margin. Real PCE is growing at +2.6%, contributing roughly +1.4 percentage points to GDP. If consumer spending decelerates from +2.6% to +1.5%, the PCE contribution to GDP falls by roughly 0.7 points and GDP drops from +2.5% toward +2.0%. If consumer stagnates at +0.5%, GDP falls to +1.0%. The 68% of GDP that is consumer spending is the difference between a soft landing and a recession, and that 68% is already running on a funding mix that has shifted from income to credit.

What changed this week is that the labor data started to move. Quits below 2.0%. Long-term unemployment above 22%. Real aggregate payrolls near zero. Credit-Labor Gap at -1.68.

James, Tim, and Horwich have each moved the ball this spring. What we would add, and what the January piece was already pointing at, is that the headline is not hiding the distribution by accident. It is hiding it because we stopped publishing the distribution decades ago. The BEA does not release a saving rate by wealth decile. The BLS does not break spending out by net worth. We built the Diagnostic Dozen, and specifically the Consumer Conditions Index and the Labor Fragility Index, to put that distribution back into view.

The consumer does not predict. It validates. What it is about to validate is what labor, credit, and confidence have been saying for months. The two economies have been there the whole time. Now there are charts.

The S&P 500 closed April 15 at 7,022.96. A new all-time high. A ten percent rally off the late-March lows. The narrative is clean. Ceasefire, vol crushed, risk on, systematic funds re-leveraging into the bid. We’re seeing flows everywhere. We’re not seeing conviction.

The ceasefire was announced April 7. Two weeks. In principle. Iran has already re-closed the Strait of Hormuz once, after Israeli strikes on Lebanon. WTI sits near $92, well off the $119 war peak but still forty percent above the pre-war $67. Gold is holding near $4,800. The ten-year is 4.27%, roughly where it was before the ceasefire. Stocks have fully priced a clean exit. Bonds, gold, and oil have not.

That’s the first thing we notice. Equities are pricing resolution. Duration is still pricing uncertainty. Gold is still pricing a structurally higher inflation floor. One of these markets is wrong.

Credit agrees with equities, which is the uncomfortable part of the setup. High yield option-adjusted spreads closed April 14 at 284 basis points, through our 300 bps complacency threshold after peaking at 346 during the war. Spreads have tightened despite what’s underneath. Q4 2025 GDP was revised to 0.5% annualized. March CPI landed at 3.3% year-over-year, the highest print since April 2024. Real retail sales growth has halved from its early-2025 pace. February printed +0.8% YoY versus +2.5% last March, stalled in a +0.3% to +1.8% band for seven months now. Nominal spending keeps pushing higher. Real spending is barely breathing.

This is the Credit-Labor Gap thesis in a different asset. Call it the Credit-Growth Gap. Spreads are pricing a soft landing that the growth data hasn’t delivered. And the Fed is anchored. Fed funds futures show roughly eight basis points of cuts priced through year-end. No rate-cut cavalry is coming. The next CPI print is May 12. If energy passthrough broadens into goods and services, Powell has no cover to ease.

Here’s the contrarian twist worth sitting with. The AAII bull-bear spread for the week ending April 15 came in at minus 11.1%. Bulls 31.7%, bears 42.8%. The index is printing record highs and retail sentiment is more bearish than it was a week ago. Those two conditions almost never coexist. You usually get euphoria at tops. The wall of worry is still standing.

That ambiguity is why this tape deserves respect, not conviction. Trend and breadth have inflected. Price is above the 200-day. Market structure has repaired. Systematic funds are re-leveraging into a bid that is mechanical, not considered. But the sentiment read says the marginal buyer isn’t a believer. If the ceasefire extension fails, if the Strait closes again, if May CPI comes in hot, those flows reverse as fast as they arrived.

So what do we do with it. Positioning doesn’t change much from here. The Core Book stays with quality and defensives that held through the drawdown and haven’t given back their relative strength. The Technical Overlay can participate where trend, momentum, and relative strength align, but with tight stops, because the macro catalyst is a two-week announcement. Gold stays. Duration stays. We respect the tape without chasing it.

We’ll know we’re wrong if the ceasefire formalizes into a durable deal, if the Strait of Hormuz reopens on a sustained basis, and if oil trades back under $75. That path is the real all-clear, and on that path the framework will say add risk. We’re not there.

What we have right now is a relief valve, not a resolution. Stocks priced a ceasefire that isn’t finished. Bonds and gold are telling us to wait.

Bob Sheehan, CFA, CMT | Founder & Chief Investment Officer
Lighthouse Macro | Research | @LHMacro

If you’ve been here since January, you already know. We took our time.

Twelve pillars. Three engines. Months of work before we ever asked anyone to pay for a subscription. That was deliberate.

Most newsletters launch with a hot take and a paywall. We launched with a framework. A full diagnostic system, macro dynamics, monetary mechanics, market structure, built from the ground up, published for free, one pillar at a time. We knew that might cost us some early subscribers. We knew people might lose patience, or wonder when the “real” content was coming.

But here’s the thing: that was the real content.

Nobody in this space is publishing a 12-part analytical framework and handing it to you before asking for a dime. Because if you don’t understand how the system works, how labor flows lead stocks, how plumbing stress shows up before headlines do, how sentiment extremes become positioning signals, then a weekly market call is just noise. And there’s plenty of noise out there already.

So we built the foundation first. Every pillar, every indicator, every threshold, documented, explained, and published. Not behind a paywall. Not gated. Just out there for anyone willing to do the reading.

That phase is done.

Why we built it this way.

Before Lighthouse, I spent more than six years with the equity team at Bank of America Private Bank, progressing from intern to Associate Portfolio Manager. The strategy delivered a 2.35 Sortino, 103% upside capture, and 76% downside capture against the S&P 500. That performance is what convinced me the institutional diagnostic process I was using daily could exist outside a private bank.

Along the way, I’ve taken stops on the sell-side at a macro research provider, on the buy-side at a discretionary macro hedge fund, and at one of the largest trading data providers in the world, where I ran data and analytics for the buy-side research product. That’s where I authored published work on short interest signals and built proprietary market indices. Buy-side, sell-side, and data infrastructure. Every seat taught me something different about how institutional-grade macro work actually gets built and consumed.

Lighthouse Macro is all of that, productized, for allocators and hedge funds and family offices who don’t have a 20-person research team but still need the same systematic framework.

What’s been happening behind the scenes

While the pillars were going out, we weren’t sitting still.

PiTrade portfolio partnership. We’ve onboarded PiTrade as our portfolio tracking partner. The account is set up, the bank is verified, funding moves this week. Once funded, the model portfolio becomes continuously auditable in real time. Every position, every mark, every rebalance, timestamped and visible to subscribers. That is the infrastructure upgrade that makes the next phase possible.

Theo Advisors MOU. We signed a formal partnership with Theo Advisors, complete with IP protections and a structured referral framework. This opens a channel between our macro research and advisory-level client work.

We’re also actively exploring new data infrastructure partnerships and distribution channels. The Diagnostic Dozen wasn’t the destination. It was the launchpad.

What to expect starting now

Here’s what your subscription looks like going forward.

The Beacon comes every Sunday morning. 3,000-4,000 words of cross-pillar macro analysis. This is the flagship. Where the framework meets the current market. What changed across all twelve pillars, where the engines agree, where they diverge, and what that means for the week ahead. Every Beacon is anchored by an executive summary up top and explicit invalidation criteria at the bottom. Free for all subscribers, permanently.

Beams start today. Twice a week, roughly 750 words plus five charts. Targeted, timely, one thesis per post. Every Beam follows the same six-question structure: what just happened, what the data says, why the mechanism matters, where consensus is wrong, what would change our mind, and the positioning takeaway. Same shape every time. Variable insight, fixed frame. Because when the structure is consistent, the takeaways stand out.

Notes go out three times a week. Quick hits, 150 words and a chart. Free tier gets these too. The daily pulse.

The Chartbook drops every two weeks. 50-75 charts. No commentary, just the data. For those of you who want to see the full dashboard and draw your own conclusions.

The Horizon publishes monthly. Longer-form thematic work. 90-day forward outlook with scenario analysis, probability weights, and positioning implications across equities, rates, credit, commodities, and crypto. Where we zoom out and think about the big structural questions.

The cadence is about to pick up significantly. That’s the whole point. We front-loaded the framework so that everything from here has context.

This week is on us

Everything through Sunday is open to all subscribers. Beams, Notes, all of it. Consider it a proof of concept. We’ll have two Beams, daily Notes, and the first full Beacon this Sunday before anything moves behind the paywall.

Starting Tuesday, April 21 at 9:30am ET, Beams, Chartbook, and Horizon move to paid subscribers only. The Beacon stays free, permanently.

Positioning Update #3

First positioning mark since February 22. Honest accounting, including what we got wrong.

Inception was January 16, 2026. Starting capital: $100,000. The defensive posture set at inception has not been rebalanced. Here is the full accounting through last Friday’s close.

Jan 16 → Feb 23 (PU#2 published): Portfolio +5.11%, SPY -1.34%, alpha +6.45 pp. The defensive sleeve worked. XLU delivered, XLP held, GLD ran to $481. Five weeks of what the framework is supposed to do.

Feb 23 → Apr 10 (since PU#2): Portfolio -3.38%, SPY -0.43%, alpha -2.95 pp. We gave it back. GLD round-tripped from $481 down to $437. XLV underperformed against our own published expectations. The defensive sleeve had a rough seven weeks.

Jan 16 → Apr 10 (full inception): Portfolio +1.55%, SPY -1.76%, alpha +3.32 pp over 12 weeks. That is the honest number. Positive absolute return in a slightly down SPY tape, from a defensive posture, with one unforced error.

What we got wrong

In the February 22 Positioning Update, we flagged XLV with an explicit clause: “Trim if no relative strength improvement in 4 weeks.” Four weeks later was March 20. On that date, XLV’s relative strength versus SPY had deteriorated 3.55% from Feb 23. The trigger was met.

We did not act. The PiTrade onboarding consumed the bandwidth that should have gone to execution. As it happened, XLV recovered modestly from $145.33 on March 20 to $147.31 on April 10, so the financial cost of the missed trim was approximately 10 basis points. The discipline cost was higher. That is exactly the gap continuous tracking is built to close, and exactly why we are moving to PiTrade now instead of staying on discretionary monitoring.

Gold is the other conversation worth having. GLD peaked at $481.28 on February 23 and fell back to $437.13 by April 10. We explicitly said in “Bullion Brilliance” in March 2025 that new all-time highs should not trigger profit-taking on the structural thesis. We held to that discipline. The drawdown is the cost. The thesis (fiscal dominance, central bank buying, dollar weakness, de-dollarization) is intact. GLD is still up 3.76% from the January 16 entry, and we are still overweight.

Where we stand now

MRI has softened from High Risk at the February update to Neutral as of April 13 (reading +0.03). Market Structure Index is back in Strong Uptrend at +1.01. HY OAS is at 294 bps, complacent by our framework but below the 300 threshold that would force a reassessment. Labor is unchanged at the quits threshold. The composition of risk has shifted, but the defensive posture is still the right starting point. The April 14 signal dashboard is in the model portfolio file.

With PiTrade funded, every position is visible in real time. Marks are live, not scheduled.

The Diagnostic Dozen Discount

12 Pillars. 3 Engines. 1 Framework.

$500 $320. 36% off annual, first year only. Through April 21 at 9:30am ET.

Subscribe at the launch rate → Why 36? Twelve pillars across three engines. Math is fun.

This is a one-time launch offer. It won’t be extended, repeated, or stacked with anything else. When the window closes at market open on Tuesday the 21st, it’s gone. Monthly subscriptions are available at $50/month for those who want to start there. No discount on monthly, ever. The annual launch rate is the best deal we’ll offer.

If you just got here

Welcome. We’ve had a wave of new subscribers in the last 24 hours, and we’re glad you’re here.

One ask: go back and read the pillars. All twelve are linked at the bottom of this post. They’re free, they’re not going anywhere, and they’re the operating manual for everything we publish from here. You don’t need to read them all in one sitting. But the more of the framework you internalize, the more value you’ll get out of everything that follows.

Your first Beam

Enough about what we’re building. Let’s show you.

Below is the first Beam. Five charts, one thesis, following the fixed six-section structure. This is what the framework looks like in real time.

The Consumer Is the Canary. Gasoline Just Lit the Fuse.

Beam #1 · April 14, 2026

The Setup

Oil is up 66% in the last year. Gasoline jumped 21% in a single month. Real disposable income is growing at 1.06%.

Do the math.

The March CPI print landed at 3.3% headline, 2.7% core. The consensus read wrote itself: transitory energy shock, core is fine, Fed stays patient, rally continues. Every trading desk in New York has posted some version of this take by now. It is the wrong read.

The Data

Real disposable income is growing at 1.06% year over year. That is the closest to zero we’ve seen outside a recession in two decades. It means the average household, in real terms, has almost no margin. And “average” is generous here: the top quintile is carrying the growth. The bottom half is already underwater before the gasoline bill arrives.

A 20% gasoline shock on a flat-income household isn’t a rounding error. It’s the entire year of real gains.

The saving rate tells the same story from the other side. It sits at 4.0%. A year ago it was 5.2%. The 2000-2019 baseline was 6.5%. We are below every regime we have clean data for outside of 2022’s inflation spike, and we are there before the oil shock has fully transmitted to retail prices.

The Mechanism

This is Pillar 5, live. The Consumer Conditions framework we published in February calls consumer spending “The Last Domino” for a reason. The transmission runs in a specific sequence: saving rate compresses first, discretionary spending contracts second, services employment weakens third, credit stress fourth.

Look at the gap chart. Negative territory since 2022. The pandemic excess was spent, then the normal buffer was spent, and now we sit 1.2 percentage points below the 20-year baseline. Households have been financing consumption by drawing down saving for nearly three years. That can continue until it can’t.

Credit card delinquencies? Still low at 2.94%, actually down year over year. That’s not a contradiction, that’s the sequence. Households burn saving first. They cut discretionary next. Credit breaks last. We are in the middle of stage two. The oil shock is about to accelerate it.

What Consensus Is Missing

Consensus reads the 2.7% core CPI print and calls it a win. We read the 18.9% gasoline print and see a regressive transfer happening in real time. Both numbers are true. Only one matters for where the consumer is headed.

The “look through energy” reflex made sense when oil was a cyclical swing factor around a stable trend. It doesn’t make sense when oil is responding to a structural supply shock (Hormuz blockade, ceasefire collapse) on top of a consumer that already has no buffer. The pass-through math works in only one direction from here.

What Would Change Our Mind

Two things break this thesis. First, Hormuz de-escalates and WTI drops below $85 within 30 days, pulling retail gasoline back toward $3.50 and reversing the income squeeze before second-round effects land. Second, real DPI growth re-accelerates meaningfully on the April or May prints, which would mean wage growth is absorbing the fuel tax faster than we expect.

Neither is impossible. Neither is what we are seeing right now.

The So-What

The Consumer Conditions framework exists exactly for moments like this one. Headline resilience on top, fragility underneath. The “Last Domino” sequence, live. We are watching stage two of three.

Services employment is the tell for stage three. Restaurants and retail first, then the broader job flows. That’s the part the labor data hasn’t caught up to yet. It will.

Thursday’s Beam: the Credit-Labor Gap is back.

The bottom line

We built slow on purpose. The Diagnostic Dozen is a foundation nobody else has. Now the cadence ramps, the partnerships activate, and the real-time application begins.

This isn’t a newsletter that tells you what to think. It’s a system that teaches you how to see.

The Diagnostic Dozen: Your Complete Framework

Pillar 1: Labor·Pillar 2: Prices·Pillar 3: Growth·Pillar 4: Housing·Pillar 5: Consumer·Pillar 6: Business·Pillar 7: Trade·Pillar 8: Government·Pillar 9: Financial·Pillar 10: Plumbing·Pillar 11: Market Structure·Pillar 12: Sentiment & Positioning

That’s our view from the Watch. We’ll be sure to keep the light on....

Bob Sheehan, CFA, CMT | Founder & Chief Investment Officer

Lighthouse Macro | Research | @LHMacro

Scroll through financial Twitter and you’ll find two camps shouting past each other. One says the tariff selloff was overdone and the ceasefire rally proves it. The other says the macro is deteriorating and the bounce is a trap. Both camps are convinced. Both have already positioned accordingly.

That’s the point. When conviction runs high in either direction, the crowd has already acted on its beliefs. The marginal buyer or seller, the one who moves price from here, is on the other side. Sentiment doesn’t tell us who’s right. It tells us who’s left.

This is the final pillar. Not because it matters least, but because it matters differently. The first eleven pillars, from labor to market structure, tell you what’s happening in the economy and markets. Pillar 12 tells you what the crowd thinks about it, and more importantly, how they’ve positioned around those beliefs. That positioning is the raw material for the next move.

Core Insight: The Crowd Is a Liquidity Source, Not an Information Source

Sentiment isn’t noise. It’s the crowd’s positioning expressed through surveys, options, and flows. And the crowd is a source of liquidity, not information.

The transmission chain runs in a predictable loop:

Fear → Underexposure → Forced Buying →
Price Rise → Confidence → Overexposure →
Complacency → Forced Selling → Fear (Cycle)

The crowd isn’t wrong because they’re stupid. They’re wrong because they’re late. By the time everyone is bullish, they’ve already bought. The pool of marginal buyers is drained. By the time everyone is bearish, they’ve already sold. The pool of marginal sellers is exhausted. The answer to “who’s left?” determines direction.

Below -20% on the AAII Bull-Bear spread, forward 12-month returns average over 15%. Above +30%, they average well below the long-run norm. These aren’t backtested curiosities. They’re the mechanical result of positioning asymmetry. When everyone is out, the only flow that can occur is back in.

But here’s the critical caveat: sentiment only matters at extremes. In the middle, it’s noise. We don’t trade sentiment. We use sentiment to size and time trades identified by fundamentals and structure. It’s the final overlay, not the first input. The first eleven pillars tell you what to do. Pillar 12 tells you how much and when.

Our framework captures four dimensions of sentiment, each measuring a different facet of the crowd’s positioning:

Retail Sentiment: AAII surveys, Investor Intelligence. The masses. Most reliable contrary indicator at extremes because retail investors are the last to act and the most emotionally driven.

Professional Positioning: NAAIM exposure, COT data. The managers. More capital, better information, but similar emotional biases at extremes. When NAAIM shows 100%+ exposure, even the professionals have lost discipline.

Options Positioning: Put/Call ratios, VIX, term structure. The hedgers. Real-time fear measurement. This is the fastest-moving dimension and the most useful for timing.

Fund Flows: ETF flows, money market assets. The capital. Where money is actually moving, not just what people say they think.

Together, these synthesize into a single composite: the Sentiment & Positioning Index (SPI).

What to Watch: The Sentiment & Positioning Index (SPI)

The SPI synthesizes all four sentiment dimensions into a single z-score composite. The convention is critical and sometimes counterintuitive: high SPI = fear = contrarian bullish. Low SPI = euphoria = contrarian bearish. We invert the crowd’s mood because we’re measuring opportunity, not agreement.

The SPI is built from eight components spanning all four sentiment dimensions. Each is z-scored against its own history and combined using proprietary weights calibrated to their empirical contribution to forward equity returns at sentiment extremes. The components:

Put/Call Ratio (10-day smoothed): Real-time hedging demand. When the smoothed equity put/call ratio spikes above 1.1, institutions are paying up for protection. That’s not cheap talk. That’s capital at risk.

VIX vs. 50-day MA: Fear relative to recent context. The VIX level alone is misleading. A VIX at 25 that just spiked from 14 is an acute fear event. A VIX at 25 that’s been grinding there for months is background noise. The deviation from the 50-day captures the shock.

AAII Bull-Bear Spread (inverted): The longest-running retail sentiment series with a proven contrarian track record. Inverted so that extreme bearish readings push SPI higher (more contrarian opportunity).

NAAIM Exposure (inverted): Professional positioning. Actual allocation decisions by active managers. When NAAIM exceeds 100%, managers are levered long. When it drops below 25%, they’ve panic-sold. Neither state is sustainable.

Investor Intelligence Bull-Bear (inverted): Newsletter writer sentiment. A secondary retail gauge with a longer history than AAII.

ETF Equity Flows, 20-day (inverted): Capital flows. Where money is actually moving, not just what people say they think. Sustained outflows push SPI higher.

VIX Term Structure (Backwardation): Acute vs. chronic fear. Backwardation is rare and significant: near-term protection costs more than longer-dated, meaning institutions are scrambling for immediate hedging.

Money Market Fund Assets (YoY): The cash mountain. Rising MMF assets = cash on sidelines = future buying power.

The exact weights, z-score methodology, and lookback calibration are proprietary. What we can share: options-based indicators carry more weight than survey-based ones because they reflect actual capital commitment, not just stated opinion. And the inversions ensure the SPI convention holds: high SPI = fear = contrarian bullish.

The Indicators

AAII Bull-Bear Spread

The American Association of Individual Investors has been surveying its members since 1987. Every week, they ask a simple question: are you bullish, bearish, or neutral on the stock market over the next six months? The bull-bear spread, the difference between the bullish and bearish percentages, is one of the most studied contrarian indicators in equity markets.

The signal is simple. When the spread exceeds +30%, the crowd is euphoric and forward returns suffer. When it falls below -20%, the crowd has capitulated and forward returns are strong. In the middle, there’s no contrarian edge. You’re just measuring noise.

What makes AAII valuable isn’t sophistication. It’s consistency. The methodology hasn’t changed in nearly four decades. The sample is self-selecting (individual investors who care enough to respond), which makes it a clean read on retail conviction. And the contrarian track record is remarkably stable: extreme bearish readings have preceded positive 12-month returns in over 85% of historical instances.

Look at the historical pattern. The 2008 financial crisis drove the spread to nearly -50%. The 2020 COVID crash saw a plunge below -40%. The 2022 bear market bottom formed with readings in the -30% range. Each of those extremes preceded strong recoveries. Not because sentiment predicted the recovery, but because the selling was exhausted.

The current reading at -7.3% isn’t a contrarian extreme, but the persistence matters. Bears have printed 43.0%, 51.4%, 49.8%, 52.0% over the past four weeks. When retail is stuck in the high-40s/low-50s on bearish readings for a month while the tape quietly repairs, you’re watching a slow-motion divergence. Not a trade yet. But on the clock.

AAII Components: The Composition Matters

The spread is the headline, but the components tell a richer story. The breakdown into bullish, bearish, and neutral percentages reveals something the spread alone can’t: the crowd’s conviction level.

When neutral readings compress below 25%, the crowd has picked a side with conviction. They’re either enthusiastically bullish or aggressively bearish. That conviction, regardless of direction, marks an extreme. The crowd rarely reaches consensus and maintains it. Conviction compression is the setup. Mean reversion is the outcome.

When neutral is high (above 35%), nobody cares. Apathy isn’t a contrarian signal. It’s just quiet. Trade structure and fundamentals when the crowd is disengaged.

The stacked area chart makes the regime shifts visible. Notice how bear-dominant readings in late 2022 and mid-2023 preceded rallies, while bull-dominant readings in early 2024 preceded corrections. The pattern isn’t mechanical (sentiment doesn’t predict with timing precision), but the directional bias at extremes is statistically robust.

Currently: bulls at 35.7%, bears at 43.0%, neutral at 21.3%. That’s a crowd with conviction on the wrong side. Neutral has compressed to 21.3%, well below the 25% threshold, meaning retail has picked a side. And they’ve picked bearish for a month while the VIX collapsed and breadth repaired. Conviction compression plus persistent pessimism plus healing internals is a setup to watch closely.

VIX vs. 50-Day Moving Average

The VIX is the most widely quoted “fear gauge” in markets. It measures 30-day implied volatility on S&P 500 options. When institutions are scared, they buy puts, and implied volatility rises. Simple enough. But the VIX level alone is a terrible indicator.

Why? Because 25 means different things at different times. A VIX at 25 that just spiked from 14 is an acute fear event. A VIX at 25 that’s been grinding around that level for months is a market that’s simply pricing in higher uncertainty. The first is a contrarian opportunity. The second is background noise.

That’s why we measure VIX relative to its 50-day moving average. The percentage deviation from the recent average captures the shock, the sudden repricing of fear that creates dislocations and opportunities. Our threshold is +30%: when the VIX trades 30% or more above its 50-day MA, hedging demand has spiked enough to create a meaningful contrarian signal

As of April 10, the VIX sits at 19.2, approximately 14% below its 50-day moving average. The March fear spike resolved hard: VIX compressed from the mid-20s into the high teens as the tariff escalation de-escalated and breadth repaired. What was “elevated fear” a month ago is now “quiet complacency.” The 50-day MA is still elevated (around 22.4) because it’s dragging the March spike through its calculation window, but spot VIX has moved well ahead of it.

This is the opposite regime from where we started. A VIX 14% below its 50-day is inside the complacency zone on our framework. Not at the -20% extreme, but trending there. And it matters that retail is still bearish while vol has compressed, that’s the divergence worth watching.

VIX Term Structure: The Stress Detector

The VIX term structure adds a dimension that the spot VIX alone misses. Normally, longer-dated volatility is higher than near-term volatility. That’s contango. It reflects the simple fact that more can go wrong over 90 days than over 30. When the curve inverts, when near-term VIX exceeds VIX3M (3-month implied vol), the market is in backwardation.

Backwardation is rare and significant. It means hedging demand for the next 30 days is so intense that it exceeds demand for 90-day protection. Institutions aren’t buying portfolio insurance for the year. They’re scrambling to cover the next month. That’s panic behavior.

Historically, VIX backwardation events cluster around major market bottoms: March 2020, October 2022, the August 2024 unwind. They’re short-lived (typically resolving within 1-3 weeks) because the acute stress either materializes into a broader crisis or gets resolved. The resolution, in both cases, tends to favor the buyer. When backwardation appears alongside extreme AAII bearish readings and washed breadth, you have a multi-dimensional capitulation signal.

The chart makes the rarity visible. Backwardation events appear as brief spikes above the 1.0 line, usually lasting days to a few weeks. The current ratio is 0.88, deep contango. Institutions are paying far more for 90-day protection than 30-day protection, which means they see near-term risk as resolved and are hedging longer-dated tail risk. No acute stress. The fire alarm is off.

AAII Bears vs. S&P 500: Fear Creates Opportunity

The best test of a sentiment framework is whether it correctly identifies when fear creates opportunity. Overlay the AAII bearish percentage against the S&P 500, and the pattern is stark: spikes in bearish sentiment align with equity troughs.

Our threshold for extreme bearish readings is 50%. When more than half of surveyed retail investors are bearish, the capitulation is typically near-complete. This happened during the COVID crash (bears spiked above 50%), during the 2022 bear market (persistent readings in the 50-60% range), and during the tariff selloffs of early 2025.

The mechanism is mechanical, not mystical. When 50%+ of surveyed investors are bearish, they’ve expressed that view through their portfolios. They’ve reduced equity exposure, rotated to cash or bonds, and are psychologically prepared for lower prices. But because they’ve already acted, they’ve removed themselves as sellers. The selling pressure is spent. Any positive catalyst, a better-than-expected earnings report, a policy shift, even just the passage of time without further deterioration, brings buying back from a depleted seller pool.

Current reading: bears at 43.0%, and the prior three weeks printed 51.4%, 49.8%, and 52.0%. That’s a month of bears clustered around the 50% threshold, right at the line where capitulation typically becomes a contrarian signal. Combined with the VIX collapse, it’s the kind of divergence that historically resolves with retail converging upward toward the tape.

VIX Deviation from 50-Day MA: Daily Regime Detection

While AAII is weekly, the VIX deviation provides a daily sentiment read. This is the same concept as Figure 3 but focused on regime classification rather than the raw VIX level.

Above +30%: fear spike. The VIX has lurched above its recent average by a standard-deviation-plus move. These events typically resolve within 1-2 weeks, either by VIX declining (fear abating) or the 50-day MA rising to meet it (elevated fear becoming the new normal).

Below -20%: complacency. The VIX is suppressed well below its recent average. The crowd has collectively decided that risk is low and hedging is unnecessary. These periods feel comfortable but breed vulnerability. A VIX at 12 with the 50-day at 15 means implied vol has been compressed below where even recent history says it should be. The next shock will feel worse because nobody prepared for it.

The shaded zones make the regime transitions visible. Fear spikes (red shading above +30%) tend to cluster and resolve quickly. Complacency zones (green shading below -20%) tend to persist longer but end abruptly. The asymmetry makes sense: fear spikes because catalysts are sudden, but complacency builds gradually as risk gets repriced lower over weeks and months.

Money Market Fund Assets: The Cash Mountain

Money market fund assets represent the single largest pool of cash on the sidelines. At roughly $8.4 trillion, this is a record. More capital is parked in money markets than at any point in history.

The absolute level matters, but the year-over-year change is the sharper signal. Rapidly rising MMF assets indicate panic accumulation: investors fleeing equities for the safety of T-bills and repo. The rate of accumulation tells you how fast fear is building. Falling MMF assets indicate rotation back into risk. Cash is leaving the sidelines and re-entering equities, credit, or other risk assets.

The dual-purpose nature of the cash mountain is critical to understand. Record cash is simultaneously a fear indicator (investors fled) and a bullish catalyst (that cash is future buying power). When the rotation begins, trillions of sidelined capital represent enormous demand. The question is always: what triggers the rotation?

Look at the COVID pattern. MMF assets spiked in March-April 2020 as investors panicked into cash. Within months, that cash rotated back into equities, fueling one of the strongest rallies in market history. The cash mountain was both the evidence of fear and the fuel for the recovery. The same dynamic played out after 2022: elevated MMF assets through mid-2023 preceded the broad equity rally into 2024.

Currently, the YoY growth rate has stabilized. Assets are near record highs but the rate of new accumulation has slowed. This is consistent with a market that’s cautious but not panicking. The cash is there. The trigger for rotation hasn’t arrived yet.

The Composite: SPI in Action

The SPI brings all four dimensions together. Here’s how it looks overlaid against the S&P 500 over the past two decades.

The long-term view reveals the SPI’s track record at extremes. The COVID crash (March 2020) pushed the SPI above +2.0, one of the strongest contrarian buy signals in the series. The post-vaccine euphoria of late 2020 and early 2021 drove it below -1.0. The 2022 bear market generated sustained readings above +1.0, with spikes above +1.5 marking the October bottom. Each extreme preceded the expected move.

But here’s what the chart also shows: the SPI spends most of its time between -0.5 and +0.5. That’s the “no edge” zone. During these periods, sentiment is balanced and provides no directional guidance. This is by design. Sentiment is a contrarian tool. It only works at extremes. Trying to extract signal from neutral readings is a recipe for whipsaws.

SPI Zoomed: Recent Regimes

The zoomed view shows the SPI’s behavior during a period that included the 2023 banking stress, the late 2023 rally, the 2024 AI euphoria, and the 2025-2026 tariff volatility. Several observations stand out:

The raw SPI (Sky line) is noisy. Daily fluctuations driven by put/call ratio swings and VIX movements create a jagged signal. The 10-day smoothed version (Ocean) captures the regime without the noise. We use the smoothed version for decision-making and the raw version for early detection.

The SPI touched the +1.0 zone during the March 2026 tariff selloff, suggesting elevated fear but not extreme capitulation. It has since flipped negative as the ceasefire rally compressed the VIX into deep contango and breadth repaired. The current proxy read sits around -0.3: mild complacency, not euphoria, but trending the wrong way if the vol compression continues.

The Divergence Indicator: Sentiment-Structure Divergence (SSD)

The SSD is where Pillar 12 meets Pillar 11. It measures the alignment between how the crowd feels and how the market actually looks structurally. The formula is deliberately simple:

SSD = z(SPI) + z(MSI)

The logic: when both sentiment and structure point the same direction, the signals reinforce each other. When they diverge, something interesting is happening.

SSD > +1.5 (Capitulation Low): The crowd has capitulated (high SPI = fear) while market structure is simultaneously weak. Fear plus broken structure. This is the classic bottom formation. March 2020 and October 2022 were textbook SSD capitulation events.

SSD < -1.5 (Blow-Off Top): The crowd is euphoric (low SPI = greed) while market structure is strong. Euphoria plus strong structure. This sounds bullish, but it’s actually the setup for a correction. Late 2021 before the 2022 bear market was a classic SSD blow-off reading.

The current SSD proxy reads near -0.5: neutral, but trending toward complacency risk. A month ago the reading was -1.28, driven entirely by broken structure while sentiment was neutral. Today structure has healed and sentiment has tilted mildly complacent. The signal has flipped from “structure broken while crowd unconcerned” to “structure healed while vol priced to perfection and retail stuck bearish.” It’s not a warning yet. But it’s the shape of one.

Integration: Sentiment Sizes the Trade

This is the point that separates a sentiment framework from sentiment trading. We do not trade sentiment. We use sentiment to size and time trades identified by fundamentals and structure.

The hierarchy is explicit:

• Fundamentals (Pillars 1-7): Determine direction. Is the economy expanding or contracting? Are labor flows healthy? Is credit stress rising?

• Monetary (Pillars 8-10): Sets the regime. Is fiscal dominance in play? Are credit conditions tightening? Is the plumbing absorbing shocks or transmitting them?

• Structure (Pillar 11): Confirms or denies. Is the market’s internal health consistent with the fundamental picture? Is breadth expanding or contracting?

• Sentiment (Pillar 12): Sizes and times. Given the fundamental direction and structural confirmation, how aggressively should we position, and is the timing favorable?

The full setup, bullish fundamentals with structural confirmation and elevated fear, is the highest-conviction entry in the entire framework. It means the economy is healthy, the market’s internals agree, and the crowd has gotten scared for reasons that haven’t changed the fundamental picture. That’s when you press. It’s rare, and it should be.

The counter-trend tactical exhaustion trade is the opposite extreme: fundamentals are bearish, structure is broken, but fear has reached levels that historically mark at least a tradeable bounce. These are short-duration, smaller-size trades. The SPI must be above +1.0 for this trade to qualify, and it requires explicit confirmation from Pillar 11’s tactical exhaustion criteria.

The Consensus Trap

The consensus trap in sentiment analysis is the “VIX is elevated so the market must be about to crash” narrative. Or its mirror: “VIX is low so everything is fine.”

Both are wrong, and they’re wrong for the same reason. They confuse the sentiment reading with a directional forecast. The VIX at 25 doesn’t mean the market is going down. It means fear is elevated. Elevated fear, by itself, is actually a mildly bullish signal because it means the crowd has already hedged. The risk isn’t priced in for the first time. It’s already in the price.

The deeper version of this trap is treating sentiment as a standalone signal. “AAII bears are above 40%, buy the dip.” That’s cargo-cult contrarianism. Without checking fundamentals and structure first, you’re just fading the crowd on faith. Sometimes the crowd is bearish because things are actually getting worse, and the selling has further to go. October 2008 saw extreme bearish readings. The market fell another 25% before bottoming in March 2009.

The framework guards against this by requiring multi-pillar confirmation. Sentiment at extremes gets your attention. Fundamentals and structure tell you whether to act. The crowd can be early, and you don’t want to catch a falling knife just because retail investors are scared.

Where We Are Now

As of the latest available data (AAII week ending Apr 8, market data thru Apr 10):

• SPI ≈ -0.3 (Mild complacency). The composite has flipped since the March snapshot. The VIX component is pulling it down hard (-14% deviation from 50d, deep contango in term structure). The AAII component is pulling it up (bears at 43%, spread -7.3%, persistent for four weeks). The vol side is winning. Options markets don’t see risk. Retail does. History says the options markets usually resolve the disagreement.

• SSD ≈ -0.5 (Neutral, trending toward complacency risk). Structure has healed (SPX +2.3% vs 200d, 54% of stocks above 200d, breadth repaired), and sentiment has shifted from fear to mild complacency. This isn’t the “broken structure + neutral sentiment” configuration we saw a month ago. It’s closer to the textbook pre-complacency setup: fear fading, structure healing, retail slow to adjust.

The honest read: The regime flipped. A month ago sentiment was neutral and structure was broken; today structure is healed and sentiment is tilting complacent while retail remains stuck-bearish. The contrarian edge has shifted, not to “buy the fear” (the fear is gone), but to “watch the retail-vol divergence.” When retail bearishness has persisted this long while implied vol compresses, the tape usually resolves by either (a) AAII bears capitulating upward as the rally pulls them in, or (b) a vol spike that vindicates the pessimists. The fast indicators are betting on (a). We’d agree, with the caveat that -20% VIX deviation is the line where complacency becomes its own warning signal.

How to Track

You don’t need a Bloomberg terminal to monitor sentiment:

AAII Survey: Published every Thursday at aaii.com/sentimentsurvey. Free. The bull-bear spread is the headline number. Check it weekly.

VIX: Real-time on any platform. Search ^VIX on Yahoo Finance, TradingView, or Google. For the 50-day MA, overlay a 50-period SMA on a daily chart.

VIX3M (Term Structure): Search ^VIX3M on Yahoo Finance or TradingView. Divide VIX by VIX3M. Above 1.0 = backwardation.

NAAIM: Published every Wednesday at naaim.org. Free. Watch the mean exposure number.

Put/Call Ratio: CBOE publishes daily. Search “CBOE equity put/call ratio” or use $PCCE on StockCharts. Apply a 10-day SMA.

Money Market Fund Assets: ICI publishes weekly at ici.org. The Fed H.6 release also tracks this monthly.

CNN Fear & Greed Index: Real-time composite at CNN.com. Good for a quick gut-check, not precise enough for systematic use.

The real edge isn’t access. It’s discipline. Check weekly. Build a routine. Note the extremes. Ignore the middle. And always, always cross-reference with structure before acting.

Invalidation Criteria

What would invalidate a bullish contrarian signal (when SPI > +1.5):

• Extreme fear readings that persist for 6+ months without mean-reverting, suggesting a structural regime shift rather than a positioning extreme

• Sentiment wash-out combined with accelerating fundamental deterioration across Pillars 1-7 (labor deteriorating, credit widening, growth contracting simultaneously)

• Credit markets confirming the fear: HY OAS widening above 600 bps, CLG deeply negative, suggesting spreads are reacting to real fundamental stress rather than just positioning

• Earnings revisions turning sharply negative while sentiment is already bearish, meaning the crowd may be early rather than wrong

What would invalidate a bearish contrarian signal (when SPI < -1.0):

• Euphoria that persists alongside improving breadth and fundamental acceleration, suggesting a secular bull market rather than a blow-off

• Central bank intervention that expands liquidity faster than positioning can unwind, overriding the natural mean-reversion of sentiment

• Earnings growth re-accelerating despite euphoric positioning, meaning the fundamentals are validating the crowd’s optimism

• New structural innovation (AI capex cycle, energy transition) that durably shifts the earnings trajectory, making prior valuations look reasonable in hindsight

Both sides have explicit conditions. If you can’t state what would prove you wrong, you don’t have a framework. You have a conviction.

Bottom Line

Sentiment is the contrarian edge. It doesn’t tell you what to do. It tells you how much and when. The crowd is a lagging indicator. By the time they’re bullish, they’ve bought. By the time they’re bearish, they’ve sold. Your edge is knowing who’s left.

Right now, retail is still leaning bearish after a month of elevated readings while the VIX has collapsed and structure has healed. That’s not a full contrarian extreme, AAII bears haven’t touched 50% this week, the spread hasn’t cracked -20%, but it’s the kind of persistent divergence that usually resolves with the slow indicators (retail surveys) converging toward the fast indicators (options markets, breadth). The options tape is saying “risk is resolved.” The retail tape is saying “I don’t believe you.”

What changes the call? AAII bears rolling back under 35% confirms the retail capitulation. VIX pushing back above its 50-day would re-arm the fear signal. SPI above +1.5 would fire a real contrarian buy. On the other side: VIX deviation below -20% plus AAII bulls above +30% would flash the blow-off warning. Until then, Pillar 12 says the risk/reward tilts mildly constructive, with complacency the growing risk on the horizon.

Twelve pillars. Three engines. One framework.

That’s how we read the macro from The Watch.

This is Pillar 12 of the Diagnostic Dozen, the final installment of a 12-part series breaking down the macro framework that powers everything we do at Lighthouse Macro. The series is now complete.

Bob Sheehan, CFA, CMT | Founder & Chief Investment Officer
Lighthouse Macro | Research | @LHMacro

Maybe. But reclaiming a moving average on a news-driven gap is not the same as confirming a structural recovery. The weight of evidence has more to say.

Price is one data point. Market structure is the full picture. It tells you whether a rally has legs or whether the generals are charging ahead without soldiers. It tells you when a selloff is overdone and when it’s just getting started. It’s the difference between a regime shift and a relief rally.

This is the pillar that separates the signal from the noise.

• • •

Core Insight: Breadth Is the Truth Serum

Most investors watch price. The S&P 500 is up, so the market is healthy. The S&P 500 is down, so it’s not. That framing is dangerously incomplete.

The S&P 500 is a market-cap-weighted index. A handful of mega-cap names can drag it in either direction while the median stock tells a completely different story. We saw this throughout 2024 and into early 2025: the index made new highs while participation narrowed, breadth deteriorated, and the average stock quietly rolled over.

Market structure captures what price alone cannot. It synthesizes trend, momentum, breadth, and internal health into a single composite. When all four align, the signal is strong. When they diverge, something is breaking beneath the surface.

Our framework rests on a simple hierarchy:

Trend tells you where you are. Is price above or below the 200-day moving average? Is the 50-day rising or falling? These are slow signals. They don’t change often, and when they do, it matters.

Momentum tells you how fast things are changing. Our Z-Rate of Change (Z-RoC) measures the standardized velocity of price movement across multiple timeframes. Momentum leads price. When it breaks first, the trend usually follows.

Breadth tells you who’s participating. The percentage of stocks above their 50-day and 200-day moving averages, the advance-decline line, new highs minus new lows. A rising index on narrowing breadth is a warning. A rising index on expanding breadth is confirmation.

Together, these three dimensions form the Market Structure Index.

• • •

What to Watch: The Market Structure Index (MSI)

The MSI is an 11-component composite that synthesizes trend, momentum, and breadth into a single z-score. Each component is standardized against its own history, then weighted by its empirical contribution to forward equity returns.

Here’s the architecture:

Trend Components

• Price vs. 200-day MA: The primary trend signal. Above = bull, below = bear. Simple, but it matters more than most things people complicate.

• Price vs. 50-day MA : The intermediate trend. Faster signal, more noise, but useful for identifying transitions.

• 50-day MA Slope: Is the intermediate trend accelerating or decelerating? Direction of the slope matters as much as the level.

Momentum Components

• 20-day MA Slope: Short-term directional signal. First to turn at inflection points.

• Z-RoC, 63-day: The core momentum measure. This is the 3-month standardized rate of change. Below -1.0, momentum is broken. Above +1.0, it’s strong. At extremes beyond +/-1.5, mean reversion risk rises.

Breadth Components

This is the largest allocation, and intentionally so. Breadth is the most honest signal in the market.

• % Above 50-day MA: The participation rate at the intermediate level. Below 35% = washed. Above 85% = crowded. The thrust zone (30% to 70% in 10 sessions) is one of the most reliable buy signals in equity markets.

• % Above 20-day MA: Short-term participation. More volatile, but useful at extremes. Below 25% = deeply oversold. Above 80% = stretched.

• % Above 200-day MA: Long-term health. When this falls below 50%, the majority of stocks are in downtrends regardless of what the index says.

• New Highs minus New Lows, 20-day MA: The rate of new extremes. When new lows dominate, the damage is broad. When new highs dominate, the advance is healthy.

• Advance-Decline Line Slope: The cumulative flow of advancing vs. declining issues. Divergences from price are classic distribution signals.

Additional Components

• McClellan Summation Index: A smoothed breadth oscillator derived from the advance-decline differential. Captures the medium-term trend of market internals.

The Indicators

Price vs. 200-Day Moving Average

This is the simplest and most important signal in market structure. When the S&P 500 is above its 200-day moving average, the primary trend is up. When it’s below, it’s down. Full stop.

The nuance is in the transitions. The first break below the 200-day in a bull market isn’t necessarily the end. It’s a yellow flag. But if price stays below for more than 2-3 weeks and the 200-day itself starts to flatten or roll, the probability of a deeper correction rises sharply.

SPY broke below its 200-day on March 19. It stayed there for 20 calendar days, 14 trading sessions, before the ceasefire gap-up on April 8 carried it back above. By Thursday’s close, the index sat at 6,824, roughly 180 points above the 200-day at 6,644. That’s a clean reclaim on a closing basis.

But context matters. The reclaim happened on a single exogenous catalyst (the ceasefire), not on a gradual improvement in fundamentals. The 200-day itself has flattened. And the 50-day at 6,784 was barely cleared. The question isn’t whether price is above the line. The question is whether it holds there for 5+ sessions on expanding breadth. History says one-day reclaims on news gaps have about a 55% success rate. Five-day holds jump to 78%.

50-Day Moving Average Slope

The slope of the 50-day tells you whether the intermediate trend is accelerating or decelerating. A rising slope means price is pulling away from the average. A falling slope means the average is catching up, or worse, price is falling away from it in the wrong direction.

Right now, the 50-day slope is negative and has been since mid-March. The two-day rally pushed price above the 50-day itself (6,824 vs. the 50-day at 6,784), but the slope of the average hasn’t turned. A rising slope requires the average itself to inflect upward, which takes sustained price action above it for multiple sessions. We’re on day two.

Z-Rate of Change (63-Day)

The Z-RoC is the momentum backbone of the MSI. It measures the standardized 3-month rate of change. What makes it useful isn’t the raw number but how it compares to history. A -10% drawdown in a low-volatility environment scores very differently than -10% in a high-volatility one.

Readings below -1.0 indicate broken momentum. Below -1.5, the damage is severe enough that mean reversion odds start to favor the bulls, but only if breadth confirms. Momentum alone isn’t a buy signal. Momentum plus breadth is.

Breadth: % Above 50-Day MA

This is the participation metric we watch most closely. It answers: what percentage of S&P 500 stocks are above their own 50-day moving averages?

At extremes, this indicator is powerful:

• Below 25%: The market is washed. Selling is exhausted at the individual stock level. This doesn’t mean it bounces tomorrow, but it means the fuel for further selling is running low.

• Above 85%: The market is crowded. Nearly everyone is in an intermediate uptrend. The easy money has been made.

• 30% to 70% in 10 sessions (Breadth Thrust): One of the most reliable buy signals in equity markets. It means participation is expanding rapidly from a washed base. The last confirmed thrust preceded a +12% rally over the following 3 months.

We’re watching in real time. After seven straight up sessions, the % above 50-day has recovered from the mid-20s (late March lows) to what is likely the mid-40s to low-50s range. But a thrust requires 30% to 70% in 10 sessions. We’re inside the window. If it triggers in the next few days, that changes the structural picture materially.

% Above 200-Day MA

The long-term version. When this falls below 50%, more stocks are below their primary trend than above it. The market is structurally unhealthy regardless of what the cap-weighted index says.

This metric fell sharply in March as the oil shock and tariff uncertainty hit mid-caps and small-caps harder than mega-caps. The divergence between the index (which held up relatively well on mega-cap resilience) and the median stock (which didn’t) was a textbook narrowing signal.

New Highs Minus New Lows (20-Day MA)

The flow of new extremes. When new 52-week lows outnumber new highs, the damage is broad and deepening. When the ratio flips, it’s a sign that the worst of the selling pressure has passed.

We smooth this with a 20-day moving average to filter out single-day noise. The signal matters when it crosses zero. A sustained move from negative to positive, especially from deeply negative territory, is confirmation that the internal tide is turning.

Advance-Decline Line

The cumulative advance-decline line tracks the running total of advancing stocks minus declining stocks. It’s the oldest breadth measure in the book, and it still works.

The signal comes from divergences. If the S&P 500 is making new highs but the A/D line isn’t, distribution is happening beneath the surface. Someone is selling into strength. This divergence preceded the 2000 top, the 2007 top, and the 2022 top.

The Structure-Breadth Divergence (SBD)

We built one more layer on top of the MSI. The Structure-Breadth Divergence captures the gap between how the index looks and how the average stock looks:

SBD = z(Price vs 200d) - z(% Stocks > 50d MA)

When SBD exceeds +1.0, the index is outperforming the median stock by more than a standard deviation. That’s the “generals without soldiers” setup. Historically, SBD > +1.0 precedes meaningful pullbacks within 4-8 weeks about 70% of the time.

When SBD is below -1.0, the opposite is true: breadth is stronger than the index, which typically means the index is about to catch up in a rally.

The Consensus Trap

The consensus trap in market structure is the headline-price fallacy: “The market went up, so everything is fine.”

This week’s ceasefire rally was a case study. The S&P 500 surged 2.51% on Wednesday, then added another 0.62% on Thursday to close at 6,824, above both the 50-day and 200-day moving averages. The VIX dropped from ~27 to ~21. The Dow turned positive for the year. It felt like a regime change. But look beneath the surface:

• Wednesday’s rally was concentrated in the most beaten-down names (energy, financials, tech). Thursday saw energy stocks sell off as oil climbed back toward $100. The rotation was erratic, not broad.

• Breadth improved, but from deeply washed levels. Two days of participation is not a thrust.

• The 200-day moving average was reclaimed on a news-driven gap, not a gradual build. Gap reclaims have lower persistence rates than grind-up reclaims.

• Iran flagged ceasefire violations within 24 hours. Netanyahu said “there is no ceasefire in Lebanon.” The catalyst itself is fragile.

The consensus sees the reclaim and feels relief. The framework sees a reclaim that hasn’t been confirmed by breadth, momentum, or time. Those are very different things.

• • •

Where We Are Now

As of April 9, 2026 close:

MSI: Negative, recovering sharply. The composite has improved significantly over the past seven sessions but remains below the levels it held before the March breakdown. Short-term components (20-day slope, short-term breadth) have flipped positive. Intermediate components are turning but not confirmed.

Trend: Reclaimed, not confirmed. The S&P 500 closed at 6,824.66, above both the 200-day MA (6,644) and the 50-day MA (6,784) for the first time since mid-March. This is constructive, but a reclaim on a gap-up needs 5+ sessions of holds to be considered structural rather than reactive. We’re on session two.

Momentum: Recovering. Z-RoC is still negative but rising. The seven-day winning streak has improved the trajectory. We need a zero-line cross and sustained positive readings to declare momentum repaired.

Breadth: Improved from washed, thrust watch active. % above 50-day MA has risen from the low 30s. We’re watching for the breadth thrust trigger: 30% to 70% in 10 sessions. If it fires, that’s one of the most reliable buy signals in equity markets. It hasn’t fired yet.

VIX: Compressed to ~21. Down from 27+ in late March. The speed of the compression is notable. Below 20 would enter complacency territory. For now, the drop is consistent with a fear unwind, which is healthy.

SBD: Compressing. The divergence between the index and the average stock has narrowed. This is constructive. If breadth continues improving faster than the index, the setup shifts from “generals without soldiers” to “soldiers catching up,” which is bullish.

The honest read: the structural picture has improved more in two sessions than it did in the preceding three weeks. That’s meaningful. But the improvement came from a single exogenous catalyst (the ceasefire) whose durability is actively being questioned. Iran says it’s been violated. Israel says Lebanon isn’t included. Oil is back at $98. The framework says: watch whether the reclaim holds, watch whether breadth thrusts, and don’t confuse a relief rally with a regime shift until the data confirms it.

How to Track

You don’t need a Bloomberg terminal:

• Price vs. MAs: Any free charting platform (TradingView, StockCharts). Overlay the 50-day and 200-day on SPY.

• % Above 50d MA: $SPXA50R on StockCharts, or search “S&P 500 percent above 50 day” on TradingView.

• % Above 200d MA: $SPXA200R.

• Advance-Decline Line: $ADD on most platforms.

• New Highs - New Lows: $NYHL or HIGHL on TradingView. Apply a 20-day SMA.

• McClellan Summation: $NYSI on StockCharts.

The real edge isn’t access. It’s discipline. Check these weekly. Build a routine. When they all say the same thing, act. When they conflict, wait.

• • •

Invalidation Criteria

The recovery case confirms if:

• SPY holds above its 200-day MA (6,644) for 5+ consecutive sessions

• % above 50-day MA triggers a breadth thrust (30% → 70% in 10 days)

• Z-RoC crosses above zero and sustains for 2+ weeks

• New highs begin to outnumber new lows on the 20-day MA

• 50-day MA slope inflects from negative to flat/positive

The recovery case fails if:

• SPY falls back below the 200-day MA (6,644) on a closing basis

• % above 50-day MA fails to push above 50% within two weeks

• Z-RoC rolls over and makes a new low (below -1.5)

• Ceasefire collapses, oil spikes above $110, and the gap gets filled

• Advance-decline line diverges negatively from the index recovery

Both sides have explicit conditions. This isn’t a guess. It’s a framework with defined triggers.

• • •

Bottom Line

Market structure is the weight of evidence. Not one chart. Not one headline. Not one day’s price action. It’s the totality of trend, momentum, and breadth synthesized into a single question: is this market healthy, or isn’t it?

Right now, the answer is: recovering, reclaimed, and unconfirmed. Two sessions above two moving averages, driven by a ceasefire that’s already fraying. The short-term readings have improved. The intermediate structure hasn’t confirmed yet. We need follow-through, breadth participation, and time.

The MSI doesn’t tell you what will happen. It tells you where you stand and what would change the picture. That’s enough. In a market that mistakes a gap-up for a regime shift, clarity about the structural evidence is the edge.

Eleven pillars down. One to go.

This is Pillar 11 of the Diagnostic Dozen, a 12-part series breaking down the macro framework that powers everything we do at Lighthouse Macro. Next: Pillar 12, Sentiment.

Bob Sheehan, CFA, CMT | Founder & Chief Investment Officer
Lighthouse Macro | LighthouseMacro.com | @LHMacro

Not in the economy. Not in the stock market. In the pipes underneath them. The overnight repo rate, a number that most people have never heard of and fewer still could define, spiked from 2.43% to a published benchmark of 5.25%, with intraday transactions printing as high as 10%. Banks that normally lend to each other without a second thought suddenly couldn’t. Or wouldn’t. The Fed, which had spent a decade assuring everyone that the financial system was resilient, had to intervene with emergency liquidity injections the same morning.

No recession preceded it. No financial crisis followed. But the plumbing of the US financial system had, for a brief and terrifying moment, seized up. And the people closest to it didn’t see it coming.

That episode is the reason this pillar exists. Because the plumbing of the financial system, the network of reserves, repo markets, and funding spreads that keeps everything moving, is invisible until it isn’t. And by the time it becomes visible, you’re already in the emergency room.

The Core Insight

Here’s the simplest version of the plumbing story: the Federal Reserve creates money (reserves). Banks hold those reserves. Other financial institutions (money market funds, dealers, hedge funds) borrow and lend those reserves overnight through the repo market. The Treasury’s checking account at the Fed (the TGA) absorbs and releases reserves depending on whether the government is collecting taxes or spending money. And the Fed’s Reverse Repo Facility (RRP) acts as a parking lot for excess cash.

When reserves are plentiful, funding markets are calm. Spreads are tight. Nobody worries. When reserves get scarce, or unevenly distributed, the calm breaks. Fast.

But there’s a layer beneath this that most macro commentary ignores: the dealers who intermediate this system are structurally constrained. Under Basel III leverage ratio rules (the Supplementary Leverage Ratio, or SLR), every dollar a bank lends in the repo market expands its balance sheet and requires capital to back it. That makes repo lending expensive. It’s why, in the current regime, the secured overnight rate (SOFR) can trade above the unsecured rate (EFFR), which is the opposite of what textbook finance predicts. Lending against Treasury collateral should be cheaper than lending unsecured. But when balance sheet capacity is the scarce resource, not credit risk, the hierarchy inverts.

This matters because the plumbing doesn’t just need reserves. It needs dealers willing to intermediate those reserves. And the regulatory architecture is taxing that willingness at exactly the moment when Treasury issuance is flooding the system with more paper to intermediate.

The critical insight for today: the buffer is gone. The RRP facility, which peaked at roughly $2.5 trillion in late 2022, has been drained to zero. Not low. Not compressed. Gone. By early January 2026, the ON RRP balance had fallen to roughly $6 billion, effectively zero in the context of a multi-trillion-dollar system. A brief year-end spike to $106 billion on December 31 collapsed within days, confirming the facility’s exhaustion. That $2.5 trillion was a shock absorber. It meant the system had a massive cushion of excess liquidity that could be redirected wherever it was needed. That cushion no longer exists.

The transmission chain is mechanical:

Fed Balance Sheet → Reserves → Bank Balance Sheets →
Dealer Intermediation → Repo Markets →
Money Market Rates → Financial Conditions →
Asset Prices

Every dollar of liquidity shock that would have been absorbed by RRP now hits reserves, dealer balance sheets, and funding markets directly. We saw this play out in the fall of 2025. By mid-September, SOFR had climbed to 4.42% and funding conditions remained strained into October. When Trump’s 100% China tariff announcement hit on October 10, it detonated a system that was already running without a buffer: $19.16 billion in crypto liquidations in 24 hours, a 14% single-day drawdown in Bitcoin. That wasn’t purely a crypto event and it wasn’t purely a plumbing event. It was exogenous shock meeting endogenous fragility. The plumbing was already strained, and crypto, as the most levered and most volatile asset class in the system, absorbed the damage first.

The Fed ended QT on December 1, 2025, after draining roughly $2.2 trillion in securities since June 2022. That was the right call. Reserves had declined to approximately $3.0 trillion, close enough to the estimated comfort zone that continuing the drain risked repeating September 2019. But ending QT doesn’t refill the pool. Reserves sit at $3.02 trillion, and non-reserve liabilities (currency in circulation, the TGA) continue to grow, which means reserves can still decline even without active runoff. We’ve gone from “abundant reserves” to “ample reserves,” and the distance between ample and scarce is shorter than most people assume.

And sitting underneath this thinning reserve cushion is a structural fragility that connects directly to Pillar 8 (Government): the Treasury basis trade. Hedge funds, many domiciled offshore, hold an estimated $1.85 trillion in Treasuries, financed through overnight and short-term repo. They are, effectively, the marginal buyer of US government debt. The trade is simple: buy the cash bond, short the future, finance via repo, pocket the spread. Levered anywhere from 20x to as high as 50x or more, because the spread is tiny. It works beautifully. Until repo rates spike. When overnight funding costs explode, these funds face margin calls on the futures leg and higher financing costs on the cash leg simultaneously. The forced selling of Treasuries to meet margin calls is how plumbing stress becomes a Treasury market event. This isn’t hypothetical. It happened in March 2020. The basis blew out, and the Fed had to buy over $1 trillion in Treasuries in a matter of weeks, with combined Treasury and MBS purchases exceeding $1.6 trillion by the end of March.

What to Watch

The plumbing pillar boils down to a handful of signals. They’re not glamorous. They don’t make headlines. But they’re the earliest warnings you’ll get before funding stress becomes a market event.

Reserves vs. LCLOR. This is the anchor metric. Bank reserves minus the Fed’s comfort threshold tells you how much runway the system has. When the gap narrows, every other plumbing signal matters more.

EFFR-IORB spread. The effective federal funds rate minus the interest on reserve balances. This spread should be slightly negative (banks lend below IORB because they’re flush). When it turns positive and approaches +8 basis points, cash is getting scarce. Fast.

SOFR-IORB spread. Same concept, secured market. SOFR is the benchmark for the $4+ trillion overnight repo market. The Sep 2019 blowout started here. When this spread widens persistently, not just on quarter-end, something structural has shifted.

The SOFR-EFFR inversion. This is the single best barometer of dealer balance sheet capacity. In a normal world, secured lending (SOFR) should be cheaper than unsecured (EFFR). When SOFR trades above EFFR, it means balance sheet is more expensive than credit risk. A persistently positive SOFR-EFFR spread is the market telling you that dealer intermediation capacity, not cash, is the binding constraint.

Quarter-end dynamics. Banks pull back from lending at quarter-end for regulatory reasons. G-SIB surcharge calculations, leverage ratio reporting, and balance sheet “window dressing” all incentivize banks to shrink their repo books on the last day of each quarter. Some shift to off-balance-sheet alternatives like FX swaps and cross-currency basis swaps to avoid the capital hit. The result is predictable: funding spreads widen mechanically every March, June, September, and December. That’s normal. What’s not normal is when those spreads widen on a random Tuesday in the middle of the quarter. The former is plumbing friction. The latter is scarce reserves.

The Indicators

1. Reserves vs. LCLOR: The Runway

The Federal Reserve’s balance sheet mechanics determine how many reserves exist in the banking system. Quantitative easing creates reserves. Quantitative tightening destroys them. It’s that simple.

What’s less simple is knowing how many reserves are “enough.” The Fed’s own framework uses the LCLOR concept, essentially the level below which banks start hoarding cash rather than lending it. Most estimates place the range between $2.8 and $3.25 trillion, depending on methodology. Current reserves sit at $3.02 trillion, which means the margin for error is thin.

The distribution matters as much as the level. Reserves are concentrated at the largest banks. Smaller institutions and foreign banks operating in the US often face tighter conditions than the aggregate number suggests. This was precisely the dynamic that caused Sep 2019. Total reserves looked fine. But the banks that needed them didn’t have them.

The Fed ended QT in December 2025, having slowed the pace earlier in 2024 and again in early 2025. That decision removed the mechanical drain on reserves. But reserves can still decline as non-reserve liabilities grow (currency in circulation, TGA rebuilds). The question has shifted from “when does QT push us into scarcity?” to “are reserves distributed well enough to prevent localized stress even at current levels?” That’s the question that matters now. Not the aggregate, but the distribution.

2. The Reverse Repo Facility: A Spent Story

The ON RRP facility deserves a proper eulogy. Between mid-2021 and late 2022, money market funds parked over $2 trillion at the Fed overnight. It was the clearest sign of excess liquidity in the system. Cash had nowhere better to go.

Then QT started, Treasury issuance accelerated, and the RRP drained. Steadily. Predictably. And now it’s at zero.

Why does this matter? Because the RRP served as a release valve. When reserves were getting tight somewhere in the system, the cash sitting in RRP could migrate back into the banking system through T-bill purchases and money market reallocation. That migration is complete. There’s no more valve to release.

We saw the consequences in the fall of 2025. RRP was already near zero when funding conditions tightened in September and the October tariff shock hit. The stress cascaded through crypto leverage (the most fragile link), triggering $19.16 billion in liquidations. By February, the February crypto event was only $2.2 billion in liquidations, but it happened with zero buffer capacity. The system didn’t break harder because leverage hadn’t rebuilt. Not because the plumbing could handle it.

The practical implication: the next time reserves get squeezed, the system absorbs the shock with whatever reserves banks already hold. There’s no backstop buffer waiting to flow in.

3. EFFR-IORB: The Unsecured Canary

The federal funds market is a shadow of what it used to be. Before 2008, this was the heartbeat of the financial system: banks lending reserves to each other overnight. Today, it’s closer to a vestigial organ. Volume has collapsed because banks are awash in excess reserves from over a decade of QE. No bank needs to borrow fed funds to meet reserve requirements anymore.

The market that remains is dominated by a regulatory arbitrage. Federal Home Loan Banks (FHLBs), which cannot earn interest on reserves at the Fed, lend to foreign banks who can. The foreign banks pocket the spread between IORB and EFFR. It’s a plumbing quirk, not a market signal of interbank trust.

But here’s why it still matters: the spread between EFFR and IORB tells you how aggressively non-bank lenders are competing for returns. When EFFR sits comfortably below IORB, cash is abundant and nobody’s scrambling. When EFFR starts climbing toward IORB, or above it, the arbitrage is breaking down because cash itself is getting scarce. An EFFR-IORB spread above +8 basis points is our threshold for acute funding stress.

Right now, this spread is well-behaved. Boring, even. But boring is good. The value of monitoring it isn’t catching the current reading. It’s knowing the number that tells you when boring ends.

4. SOFR-IORB: Where Sep 2019 Started

SOFR (Secured Overnight Financing Rate) is the heartbeat of the repo market. It reflects the rate at which dealers and institutions borrow cash overnight against Treasury collateral. Under normal conditions, SOFR trades near or slightly below IORB.

Here’s the structural wrinkle that matters: in a textbook, secured lending (where you have collateral) should always be cheaper than unsecured lending (where you don’t). But in today’s regulatory regime, SOFR frequently trades above EFFR. Why? Because lending cash in repo requires a bank to expand its balance sheet. Under SLR rules, that expansion requires capital. If the spread the dealer earns is only a few basis points, the return on equity is too low to justify the trade. So dealers demand a premium, pushing secured rates higher.

The SOFR-IORB spread, then, isn’t just measuring liquidity. It’s measuring dealer willingness to intermediate. When this spread widens, it means balance sheet capacity, not cash, is the binding constraint. That’s a fundamentally different kind of stress, and it’s harder for the Fed to fix because the solution isn’t more reserves. It’s regulatory relief.

September 17, 2019, SOFR printed at 5.25%, more than 300 basis points above the upper bound of the target range. The repo market, the most liquid overnight market in the world, had frozen. Not because of a crisis. Because of a plumbing failure: reserves were unevenly distributed, corporate tax payments had drained cash, and Treasury settlement absorbed what was left. The pipes clogged.

The Fed launched standing repo facilities and resumed balance sheet expansion within weeks. The lesson: the damage happens before the fix arrives.

5. SOFR-EFFR: The Dealer Capacity Barometer

This chart distills the SLR story into a single line. When SOFR trades below EFFR (negative spread), the system is functioning as textbooks predict: secured lending is cheaper than unsecured. Cash is abundant, collateral is scarce, and dealers are happy to intermediate.

When SOFR trades above EFFR (positive spread), the hierarchy has inverted. Balance sheet capacity, not cash or credit risk, has become the binding constraint. Dealers are effectively saying: “I could lend you cash against your Treasuries, but it costs me capital to do so, and the return isn’t worth it.”

Watch for sustained positive readings, not just quarter-end spikes. A persistently positive SOFR-EFFR spread is the market pricing in structural dealer constraints. That’s the regime we’re in now, and it’s the regime that makes every other plumbing signal more consequential.

6. The Fed Balance Sheet: QT’s Quiet Drain

The Fed’s balance sheet tells you the trajectory. QT, which ran from June 2022 through November 2025, mechanically removed over $2.2 trillion in securities from the Fed’s holdings. The FOMC ended the runoff on December 1, 2025, directing the Desk to roll over all maturing Treasuries and reinvest all agency MBS principal payments into Treasury bills.

The end of QT was the right call given money market signals, but it doesn’t mean the balance sheet story is over. Reserves can still decline as other liabilities grow. Currency in circulation increases with the economy. TGA swings can pull hundreds of billions in reserves out of the banking system over weeks. And the composition of the Fed’s holdings matters: as Treasuries were redeemed during QT, the Fed now holds a proportionally larger share of MBS, which are less liquid and harder to manage.

Watch the balance sheet not for the runoff (it’s over) but for the trajectory of reserves relative to total liabilities. The Fed has indicated it will conduct reserve management purchases of Treasury bills to keep reserves at ample levels. Whether that mechanism works smoothly is the next test.

7. The TGA: Washington’s Checking Account

The Treasury General Account is the US government’s operating balance at the Fed. When the Treasury issues debt and collects taxes, the TGA fills up, pulling reserves out of the banking system. When the Treasury spends, the TGA drains and reserves flow back to banks.

This makes the TGA a reserve shock absorber, but an unreliable one. Debt ceiling episodes create massive, artificial swings. When the ceiling binds, the Treasury draws down the TGA, flooding the system with reserves (paradoxically easing funding conditions). When the ceiling lifts, Treasury rebuilds the TGA with a wave of issuance, yanking reserves back out.

The 2023 debt ceiling resolution was a masterclass in this dynamic. The TGA rebuild sucked hundreds of billions in reserves out of the system over a few months. Funding spreads barely moved because the RRP cushion absorbed it. Next time, there’s no RRP cushion.

8. Money Market Funds: Following the Cash

Where did the $2.5 trillion in RRP cash go? Mostly into T-bills, through money market funds. As the Treasury shifted issuance toward shorter maturities and T-bill yields sat above the RRP rate, money funds migrated their cash out of the Fed and into the bill market.

This isn’t a problem in itself. It’s actually the system working as intended. But it means the cash that was parked safely at the Fed is now deployed in the market, earning a spread, taking duration, and no longer sitting in the one place where it was unconditionally available as a reserve buffer.

Track MMF assets as a complement to RRP. When RRP is near zero and MMF assets are at record highs, the system’s liquidity hasn’t disappeared. It’s been redeployed. The question is whether it can be recalled fast enough when it’s needed.

9. OFR Funding Stress: Third-Party Validation

The Office of Financial Research publishes a Financial Stress Index with a specific funding component. It’s useful precisely because it’s not our indicator. It’s an independent, publicly available measure of funding market conditions.

When the OFR Funding Stress Index is calm, it confirms what the individual spreads are telling us. When it diverges from our read of the plumbing, it forces us to ask why. Either we’re wrong, or the OFR’s methodology is weighting something differently. Either way, the divergence is the signal.

10. Commercial Paper Spreads: The Unsecured Signal

Commercial paper is how corporations borrow short-term, unsecured. The spread between CP rates and SOFR (or Fed Funds) measures the price of unsecured credit in the overnight and term markets.

When this spread widens, it means lenders are demanding a premium for credit risk, or more precisely, they’re nervous about the creditworthiness (or liquidity profile) of borrowers. CP spreads widened sharply in March 2020 before the Fed launched the Commercial Paper Funding Facility. They were an early warning in 2007, too.

In a world where repo spreads are behaving but CP spreads widen, the stress isn’t in collateralized lending. It’s in trust.

11. Net Liquidity: The Macro Twitter Favorite

Net Liquidity (Fed balance sheet minus TGA minus RRP) has become the most widely followed plumbing metric, particularly in the crypto and macro-adjacent space. There’s a reason for that: it correlates with risk assets more cleanly than almost any single variable.

We include it here not because it’s the best measure of plumbing health (it isn’t, it’s too reductive), but because it captures the net flow of liquidity into the system in a single number. When Net Liquidity expands, risk assets tend to rally. When it contracts, they tend to struggle.

The limitation is that Net Liquidity treats all reserves equally. It doesn’t capture distribution, funding spreads, or the quality of collateral in the system. It’s a useful shorthand, not a diagnostic tool. Use it to set the direction. Use the other nine indicators to understand the mechanism.

12. SOFR Volume: The Plumbing Got Bigger

The previous eleven indicators measure the price of plumbing: spreads, rates, stress levels. This one measures the quantity. SOFR transaction volume captures the daily dollar amount flowing through the overnight repo market, the single largest short-term funding market in the world.

Since SOFR’s inception in 2018, daily repo volume has more than tripled, from roughly $700 billion to over $3.2 trillion. That growth reflects the expanding role of repo in the financial system: more Treasury issuance to finance, more hedge fund basis trades to roll, more money market funds investing in overnight paper.

The insight is structural: the plumbing got bigger, but the plumbers didn’t. Dealer balance sheet capacity hasn’t grown with the market. SLR and G-SIB constraints haven’t been relaxed. The same constrained dealers are intermediating three times the volume they were seven years ago. That’s why spread signals that were manageable at $1 trillion in daily volume become acute at $3 trillion. The system’s capacity to absorb shocks hasn’t scaled with the system itself.

The Consensus Traps

Trap 1: “The Fed Will Just Stop QT”

They did. In December 2025. But the lesson of September 2019 isn’t that the Fed can’t fix plumbing problems. It’s that the damage happens before the fix arrives.

In 2019, the Fed had been running QT for nearly two years. Multiple Fed officials had described the process as “like watching paint dry.” Two months before the repo blowout, reserve levels had breached a threshold nobody at the Fed had publicly identified. The standing response was to dismiss concerns. The system, they said, was flush.

The Fed learned from that episode. This time, they ended QT before the plumbing seized. But ending QT doesn’t eliminate scarcity risk. Reserves can still decline as non-reserve liabilities grow. The LCLOR is an estimate, not a bright line. And the system is structurally different now: more Treasury paper to intermediate, more constrained dealer balance sheets, no RRP buffer. The Fed stopped the active drain. The passive vulnerabilities remain.

Trap 2: “Reserves Are Still Abundant”

Maybe. But abundant for whom?

The aggregate reserve level obscures the distribution. The top four banks hold a disproportionate share of total reserves. Smaller banks, foreign banking organizations, and non-bank financial institutions face tighter conditions than the headline number implies.

This is the Sep 2019 lesson again. Total reserves were roughly $1.5 trillion, which the Fed considered sufficient. But the banks that needed overnight funding didn’t have reserves. The banks that had reserves didn’t need to lend. The aggregate was fine. The plumbing was not.

Today, reserves are higher in absolute terms. But the system is bigger, more complex, and more reliant on non-bank intermediation than it was in 2019. “Abundant” is relative to the plumbing, not to a dollar figure.

Trap 3: “The Basis Trade Is Fine Because It’s Been Fine”

The Treasury cash-futures basis trade is the quiet giant in the plumbing system. Hedge funds hold an estimated $1.85 trillion in Treasuries, financed overnight through repo, levered anywhere from 20x to as high as 50x or more, because the spread they’re capturing is tiny. They are functionally the marginal buyer of US government debt.

The consensus view treats this as benign: the trade has worked for years, the leverage is “well-managed,” and the Fed has backstop tools. But the risk isn’t the trade itself. It’s the funding mechanism. Every one of those positions needs to be rolled in repo, often overnight. When repo rates spike, the entire position goes from profitable to hemorrhaging in hours.

And here’s what makes the current setup more fragile than the last cycle: the G-SIB surcharge scores of the dealers who intermediate this paper are rising mechanically with the supply of “safe” assets. The more Treasuries the government issues, the higher the capital charge on the dealers who need to hold and intermediate them. Basel III Endgame, if implemented in anything close to its proposed form, would make this worse by increasing the risk-weighting for trading assets. The system is taxing its own plumbers at the exact moment it needs them most.

March 2020 showed what happens when the basis unwinds: forced Treasury selling, market dysfunction, and over $1 trillion in emergency Fed Treasury purchases within weeks. The position is bigger now. The buffer is smaller.

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Where We Are Now (March 2026 Snapshot)

This section is a point-in-time read. The framework above is permanent. The numbers below will change.

Funding markets are calm. EFFR-IORB is well-behaved. SOFR is stable. The OFR Funding Stress Index isn’t flagging anything. If you looked at spreads alone, you’d conclude the system is fine.

And in some ways, it is. The Fed ended QT in December 2025, removing the mechanical drain that had been shrinking reserves for three and a half years. That was the lesson of 2019 applied in time (barely). Reserves sit at approximately $3.02 trillion, near the level the Fed considers the ample threshold.

But the structural vulnerabilities haven’t changed. RRP is effectively at zero. Dealer balance sheets remain constrained by SLR and G-SIB surcharges. The basis trade is larger than ever. And the October 2025 episode proved that the system doesn’t need a reserve crisis to produce a market event. It just needs a catalyst hitting a system with no buffer.

We’ve already seen what that looks like. October’s tariff shock triggered $19 billion in crypto liquidations. February’s event was smaller ($2.2 billion), but it happened in a system that had already absorbed the prior shocks without rebuilding any cushion.

Today is quarter-end. Balance sheet window dressing is in effect. If funding spreads stay contained through the first week of April, the system passed the test. If they don’t, the question becomes how quickly the Fed’s reserve management purchases can offset the pressure.

Cross-pillar context: Plumbing doesn’t exist in isolation. Government (Pillar 8) is flooding the system with $2T+ in annual issuance that dealers must absorb. Financial conditions (Pillar 9) show credit spreads tight but vulnerable to a plumbing shock. The broader macro picture (SPY below its 200-day, VIX elevated, exogenous geopolitical stress) narrows the margin for error on every front simultaneously. Plumbing is the connective tissue. When it tightens, every other pillar feels it.

How to Track This

Daily: EFFR and SOFR (NY Fed, published next morning), RRP usage (NY Fed), OFR FSI

Weekly: Bank reserves (H.4.1 release, every Thursday at 4:30 PM ET), TGA balance (H.4.1), dealer net Treasury positioning (NY Fed primary dealer data)

Monthly: Money market fund assets (OFR/ICI), commercial paper outstanding and rates, hedge fund repo borrowing

Mark your calendar: Tax payment dates (April 15, June 15, September 15, December 15) and quarter-ends (March 31, June 30, September 30, December 31) are the predictable stress points. These are the dates when reserves drain (taxes), balance sheets shrink (window dressing), and funding spreads spike mechanically. Elevated prints on those dates are normal. Prints that stay elevated for three or more days afterward are not.

The spread hierarchy to watch (in order of urgency):

1. EFFR-IORB above +8 bps on a non-quarter-end date = reserves scarce

2. SOFR-IORB above +10 bps sustained = repo market stress

3. SOFR above EFFR (positive spread) = dealer balance sheet is the binding constraint, not cash

4. GCF-TPR above +20 bps = dealer intermediation capacity exhausted

5. SRF take-up above $5 billion = system hitting the ceiling

Invalidation Criteria

Bullish case (plumbing improves): The Fed’s reserve management purchases successfully maintain reserves above the ample threshold. EFFR-IORB remains stable. Funding spreads stay compressed through quarter-ends. The standing repo facility proves effective as a backstop without ever being used at scale.

Bearish case (plumbing deteriorates): Reserves breach the low end of the LCLOR range. EFFR-IORB spikes above +8 bps on a non-quarter-end date. SOFR prints persistently above IORB. SOFR-EFFR stays positive and widening (dealer capacity shrinking). CP spreads widen without an obvious credit catalyst. The basis trade unwinds, forcing hedge fund Treasury selling. The Fed is forced to intervene with emergency operations.

If the first set happens, the plumbing pillar shifts to “supportive,” and the urgency of monitoring these signals decreases. If the second set happens, Pillar 10 becomes the most important pillar in the framework, because plumbing stress propagates through the system faster than any other channel.

Bottom Line

The plumbing of the financial system is invisible by design. Reserves flow. Repo markets clear. Funding spreads stay tight. Until they don’t.

September 2019 proved that plumbing failures don’t need a recession to trigger them. October 2025 proved that plumbing stress doesn’t stay in the plumbing. It cascades: reserves drain, funding costs spike, dealer capacity shrinks, leverage unwinds, and the most fragile assets break first.

The RRP cushion that protected the system for three years is at zero. Reserves sit near the level the Fed considers the ample threshold. The Fed ended QT in December 2025, but the structural vulnerabilities remain. Dealer balance sheets are constrained by the same regulatory architecture (SLR, G-SIB surcharges) that’s supposed to make the system safer. And the basis trade, the largest levered position in Treasuries in history, is financed overnight through the exact repo market we’ve been tracking.

There are excellent analysts who map this plumbing in granular detail. Our edge isn’t competing with them on the mechanics. It’s connecting the plumbing to the other 11 pillars. When labor fragility is rising (Pillar 1) and credit spreads are tight (Pillar 9) and the government is issuing $2 trillion a year (Pillar 8) and dealer capacity is constrained (this pillar), that’s not four separate observations. That’s one system under stress from multiple directions simultaneously. The plumbing is where the stress surfaces first.

Watch the spreads. Track the reserves. Respect the plumbing.

Macro, Illuminated.

This is the tenth installment of the Diagnostic Dozen, a 12-part series walking through every pillar of the Lighthouse Macro framework. Up next: Pillar 11, Market Structure.

Don’t navigate in the dark. Join The Watch.

Bob Sheehan, CFA, CMT | Founder & Chief Investment Officer
Lighthouse Macro | LighthouseMacro.com | @LHMacro

Previously in this series: Labor: The Source Code | Prices: The Transmission Belt | Growth: The Second Derivative | Consumer: The Last Domino | Housing: The Collateral Engine | Business: The Forward Commitment | Trade: The Transmission Belt | Government: The Fiscal Overhang

The Fed sets a rate. Markets celebrate or panic. And then everyone moves on to the next meeting. But the rate itself is not the story. The story is what happens between the rate and the real economy. That space, the transmission mechanism, is where financial conditions live. Credit spreads, lending standards, volatility, liquidity, real rates: these are the pipes that carry monetary policy from the Fed’s balance sheet to the factory floor, the mortgage desk, and the credit card statement.

The pipes can amplify. They can dampen. They can clog entirely. The Fed has cut 85 basis points since September 2025, bringing the target to 3.50%. Policy is easing. But the VIX just hit 29.5, HY spreads have widened 30 basis points in three weeks, and equities are selling off. The rate is loosening. The transmission is tightening. That disconnect is the entire story of this pillar.

This is Pillar 9. The second pillar in our Monetary Mechanics engine. Where the price of money meets the availability of credit.

The Core Insight: The Divergence Problem

Financial conditions are not a single number. They are a constellation of signals that, in healthy markets, move together. When the Fed tightens, spreads widen, banks tighten standards, volatility rises, and risk assets reprice. When the Fed eases, the opposite happens. That coherence is how the transmission mechanism is supposed to work.

When the signals diverge, something is about to break.

What we are watching now is a new kind of divergence. Through most of 2025, market-based measures (credit spreads, equity volatility, financial conditions indices) said conditions were loose while credit-channel measures (bank lending standards, loan growth) said conditions were tight. That was the old divergence. Banks were tightening while markets partied. We said the banks would win. They always win.

Now something more interesting is happening. The Fed is cutting. Banks have eased standards (SLOOS flipped to neutral in Q1 2026). But markets are repricing anyway. VIX has surged from 14 in January to 25.5. HY spreads have widened from 286 to 319 basis points. Equities are down from their February highs. The old divergence is resolving, but not cleanly. The easing from the policy channel and the tightening from the market channel are colliding in real time.

What to Watch and Why

We track financial conditions across eight dimensions. Each captures a different layer of the transmission mechanism.

Credit spreads tell you how the market prices default risk. The yield curve tells you about recession probability and term premium. Financial conditions indices synthesize rates, spreads, equities, and the dollar into composite gauges. Bank lending data shows the physical transmission of credit to the real economy. Delinquencies confirm whether the credit deterioration banks see is real. Volatility measures uncertainty and risk pricing. Real rates reveal the true policy stance after adjusting for inflation. And cross-pillar signals like the Credit-Labor Gap tell you whether credit markets are correctly pricing the macro reality underneath.

When most of these point the same direction, the signal is clean. When they diverge, the signal is unstable, and instability resolves.

The Indicators That Matter

A. High-Yield Credit Spreads: The Risk Pricing Signal

The option-adjusted spread on high-yield corporate bonds is the single most important financial conditions indicator. It measures the additional yield investors demand above Treasuries for holding the riskiest investment-grade-adjacent debt. When spreads are tight, investors are complacent. When they blow out, fear is in the driver’s seat. The level alone does not tell you much. Where it sits in the distribution tells you everything.

At 319 basis points, HY spreads have widened roughly 30 basis points from their February lows. That is the first sustained move wider in over a year. But context matters: 319 bps is still the 14th percentile of the 20-year distribution. Spreads have been wider 86% of the time. The widening is directionally correct but barely a start. If the repricing we expect materializes, spreads need to reach 400 to 450 basis points to match the underlying macro reality.

Composition makes the tightness worse than it looks. Nearly 46% of the investment-grade universe is now rated BBB, up from 27% in the late 1990s. The index itself is lower quality at tighter spreads. When the repricing comes, the fallen angel risk (BBB downgrades to HY) accelerates the widening because forced sellers hit a market with no cushion.

Spread moves are nonlinear: they compress slowly and widen quickly. The move from 286 to 319 took three weeks. The move from 319 to 450, if it comes, could take days.

B. The Spread Mispricing Gap: What Spreads Price vs. What Defaults Deliver

A single spread number is just a price. The prescriptive question is whether that price is correct. To answer it, we plot HY spreads against the high-yield default rate shifted forward 12 months. This shows the gap between what the market expects and what actually materializes.

The mispricing gap is the distance between what spreads imply about future defaults and what the actual default trajectory suggests. At 319 basis points, spreads are priced for defaults near 2%. Rising delinquencies and weakening business conditions point toward 3.5 to 4%. That gap has historically closed in one direction: spreads widen to meet reality. In 2007, spreads sat at 260 basis points while the forward default rate was already climbing. Twelve months later, spreads were above 1,500.

C. Yield Curve: The Dis-Inversion Clock

The yield curve is the oldest recession predictor in the toolkit. An inverted curve (short rates above long rates) has preceded every recession since 1970. But here is the nuance consensus misses: the recession does not start during the inversion. It starts after the curve dis-inverts. The inversion is the warning. The dis-inversion starts the clock. The chart below makes this explicit.

The curve inverted in July 2022 and stayed inverted for 26 months, one of the longest inversions on record. It dis-inverted in September 2024. At +58 basis points today, the curve has steepened meaningfully as the Fed cuts, with the 2-year yield at 3.56% dropping faster than the 10-year at 4.12%. We are now 18 months past dis-inversion. The historical lag ranges from 6 to 16 months. We are past the window in which every prior cycle turned. That does not mean the signal has failed. It means either the lag is longer this time, or the recession takes a different form than the NBER’s traditional dating would capture.

D. NFCI Decomposition: The Headline Hides the War

The National Financial Conditions Index from the Chicago Fed synthesizes 105 indicators across risk, credit, and leverage into a single weekly reading. Negative values indicate conditions looser than average. Positive values indicate tighter than average. But the headline number is a blended average. The subcomponents tell a different story.

NFCI at -0.52 says financial conditions are loose. But decomposing it reveals who is doing the talking. The Risk subindex at -0.61 is doing almost all the work, reflecting spreads that are still historically tight and an equity market that, despite the recent selloff, remains near record levels. The Credit subindex at -0.02 is essentially flat, barely loose. The Leverage subindex at -0.04 is the same. The headline is a one-legged stool. If the Risk subindex catches up to what Credit and Leverage are saying, the NFCI moves toward zero fast.

E. Bank Lending Standards: The Physical Transmission

The Senior Loan Officer Opinion Survey (SLOOS) is the most forward-looking indicator in the financial pillar. It measures what banks are actually doing with credit availability. When banks tighten standards, loan growth contracts 2 to 4 quarters later. When loan growth contracts, capex and hiring follow.

Here is where the story has shifted. Through 2025, SLOOS was the bearish signal we leaned on hardest: banks tightening while markets celebrated. That tightening has now reversed. SLOOS at 0.0% means banks are neither tightening nor easing on net. Loan growth has improved from +1.2% a year ago to +2.9%. The credit channel is healing.

This is the bull case data point. If bank standards continue easing and loan growth accelerates above +5%, the bearish financial thesis weakens considerably. We are watching this closely. But one quarter of neutral SLOOS after two years of tightening is not an all-clear. The damage from the tightening cycle (delinquencies, constrained borrowers, deferred capex) is still working through the system. Loan growth at +2.9% is below nominal GDP growth. Credit is flowing, but not freely.

F. The Transmission Gap: Real Rates vs. Credit Spreads

The nominal Fed Funds rate tells you what the Fed charges. The real rate tells you what borrowers actually feel. But the prescriptive question is whether markets are transmitting that policy stance. To answer it, we plot real rates against HY spreads on the same chart. When real rates are falling and spreads are widening, the transmission mechanism is inverting. Policy is easing but risk is repricing anyway.

This is the new divergence. Real Fed Funds at +0.50% is the least restrictive since the hiking cycle began. The Fed has delivered 85 basis points of cuts since September 2025. But HY spreads are widening, not tightening. The VIX has doubled. Equities are selling off. The market is tightening financial conditions faster than the Fed is loosening them. This pattern, where rate cuts fail to arrest a risk repricing, is what characterized the early stages of 2001 and 2007. It does not mean we are headed for those outcomes. It means the Fed’s grip on the transmission mechanism is weaker than the dot plot implies.

G. The Vol Signal: VIX vs. VVIX

The VIX tells you what the equity market thinks about near-term risk. The VVIX (volatility of VIX) tells you what the options market thinks about tail risk. When VVIX rises faster than VIX, dealers are hedging outcomes that the equity market has not yet priced. It is the vol market’s early warning system.

VIX at 25.5 after touching 29.5 on March 6 is the highest sustained reading since October 2023. But the VVIX tells a more nuanced story. Through most of 2025, VVIX was elevated relative to VIX, a signal that options dealers were hedging tail scenarios even while headline vol was suppressed. That divergence resolved violently in Q1 2026 as VIX caught up. The question now: does VIX settle back into the teens (the 2024-2025 pattern) or has the vol regime shifted? The VVIX/VIX relationship suggests the latter. When vol-of-vol stays elevated after VIX spikes, the market is not pricing a one-off event. It is pricing a new regime.

H. Banks See It, Spreads Don’t: Delinquencies vs. HY OAS

Credit spreads price expected defaults. Delinquencies show you actual defaults forming. The prescriptive chart plots the two together: credit card delinquency rates against HY OAS. Both rise during stress. When delinquencies rise and spreads stay flat, someone is wrong.

Credit card delinquencies at 2.94% remain elevated by post-pandemic standards. The Q3 2025 reading is the latest available (delinquency data lags by roughly two quarters). Banks saw this deterioration throughout 2025, which is why they tightened standards aggressively. Now that SLOOS has eased to neutral, the question is whether delinquencies are peaking or still climbing. The Q4 2025 data, when it arrives, will be critical. If delinquencies continue rising even as banks ease standards, the credit cycle is deteriorating on its own momentum.

I. Equity Risk Premium: The Margin of Safety

The equity risk premium measures whether stocks are cheap or expensive relative to bonds. It is the earnings yield (inverse of P/E) minus the real 10-year yield. A high ERP means stocks are cheap relative to bonds. A low ERP means bonds are competitive. The level matters, but context matters more. We plot ERP with regime bands and annotated historical outcomes.

The equity risk premium has improved from roughly 2.5% in January to approximately 3.0% today, driven by both falling real yields (10Y TIPS from 2.25% to 1.78%) and the equity selloff (SPX from ~5,900 to ~5,740). That is the right direction. But 3.0% is still below the historical average of roughly 4%, still in the “Expensive” regime. The margin of safety is thin. Another 10% equity drawdown with stable real yields would push ERP toward 3.5%, which starts to look more reasonable. We are not there yet.

J. Credit Quality Differentiation: The HY/IG Ratio

The ratio of HY spreads to IG spreads tells you whether the market is discriminating between credit quality tiers. When the ratio is stable, all credit is being treated the same. When it rises, the market is repricing risk in the lowest quality tranches while investment grade holds steady. Rising quality differentiation has preceded every major credit event.

At 3.7x, the HY/IG ratio has risen from 3.1x in January. That is the sharpest move in the ratio since early 2020. It tells you that HY spreads are widening faster than IG spreads, which means the market is not just repricing duration or rates. It is repricing credit risk specifically. IG at 85 bps is holding tight while HY has widened 30 bps. The gap between the two is growing. Historically, the ratio spikes above 5x during crises. We are not there, but the direction is unambiguous. When the market starts discriminating, it does not stop halfway.

K. The Financial Cascade: You Are Here

Financial stress follows a sequence. It is not random. The order is remarkably consistent across cycles: the yield curve inverts, then dis-inverts, then banks tighten, then loan growth stalls, then spreads widen, then volatility spikes, then defaults rise, then recession begins. The chart below maps where we sit in this progression.

Six of eight steps are now complete. The curve inverted (July 2022). It dis-inverted (September 2024). Banks tightened (SLOOS peaked at 50.8% in Q3 2023, now eased to neutral). Loan growth decelerated to +1.2% before recovering to +2.9%. The VIX spiked to 29.5 on March 6. Spreads have begun widening (286 to 319 bps in three weeks) but have not yet reached the 400 bps threshold.

The marker sits between steps 5 and 6. The open question is whether the SLOOS easing and rate cuts can arrest the sequence before spreads widen past 400 bps and defaults rise. That is the live tension. The Fed is fighting the cascade with rate cuts. Whether 85 basis points is enough depends on whether the market repricing accelerates or stabilizes.

L. Financial Stress Convergence: Three Public Signals

No single indicator captures financial stress. But when multiple independent signals converge, the message becomes harder to dismiss. We normalize three widely tracked stress measures (Baa corporate spread over 10-year Treasuries, the Chicago Fed NFCI, and the VIX) into comparable z-scores and overlay them. When all three rise together, stress is broad-based. When they diverge, stress is isolated to one channel.

The three signals are beginning to converge. The Baa-10Y spread z-score has ticked up as corporate spreads widen. The VIX z-score has spiked. The NFCI z-score remains negative (conditions still registering loose on average) but is moving toward zero. Full convergence above +1.5 sigma is the stress zone, where all three agree that conditions are deteriorating across credit, equity, and composite measures simultaneously. We are not there. But the directional alignment is notable: all three are moving in the same direction for the first time since early 2020. Isolated stress is manageable. Converging stress is not.

M. The BBB Cliff: Fallen Angel Risk

Credit quality has deteriorated even as spreads compressed. In the late 1990s, BBB-rated bonds (the lowest investment-grade tier) made up 27% of the IG universe. Today that number is 47%. Nearly half of all “investment grade” bonds are one downgrade from junk.

This is not a cyclical risk. It is structural. IG-mandated funds cannot hold junk-rated bonds. When a BBB issuer gets downgraded, it becomes a “fallen angel,” forced out of IG indices and dumped by passive vehicles and mandated accounts simultaneously. The selling is mechanical, not discretionary. In a stress scenario where multiple issuers get downgraded at once, the HY market must absorb a flood of supply at exactly the moment it is least able to. The BBB cliff makes every spread widening episode more dangerous than it would have been 20 years ago, because the index itself is lower quality at tighter spreads.

N. The Tug-of-War: What Pulls Loose, What Pulls Tight

Financial conditions are not a single number. They are a collection of forces pulling in different directions. The chart below decomposes the current state into individual components, each measured as a z-score against its own 5-year history. Bars pulling left (negative, Ocean) are pushing conditions looser. Bars pulling right (positive, Dusk) are pushing conditions tighter.

The tug-of-war explains why the NFCI headline is misleading. The Risk subindex (which captures equity vol, credit default swaps, and funding spreads in aggregate) is deeply negative, dragging the composite into “loose” territory. But the VIX is over one standard deviation tight. Real rates are restrictive. SLOOS has eased but is still negative relative to history. The forces pulling tight are real-economy forces (rates, lending standards). The forces pulling loose are market-pricing forces (spreads, risk premiums). When the two sides are this divided, the resolution tends to be sudden, not gradual.

The Consensus Trap

“The Fed is cutting. Financial conditions are easing.”

The NFCI is negative. The Fed has delivered 85 basis points of cuts. SLOOS has flipped to neutral. Case closed. This is the consensus view, and it has the data to support it if you only look at the policy channel. But the market channel is tightening: VIX has doubled, spreads are widening, and equities are selling off. Rate cuts do not automatically loosen financial conditions. They loosen one input. The other inputs have minds of their own. In 2001, the Fed cut 475 basis points and financial conditions tightened the entire way down. In 2007-2008, the Fed cut 500 basis points while spreads blew out to 2,000. The policy rate is necessary but not sufficient.

“VIX spiked, so the fear trade is overdone.”

VIX at 25.5 is elevated relative to January’s 14. It is not elevated relative to the macro backdrop. A VIX in the low 20s with labor fragility elevated, growth decelerating, and geopolitical uncertainty elevated is not fear. It is fair value. The question is not whether 25 is “too high.” It is whether 14 was too low. We think the answer is obviously yes.

The sharper question: are the Fed’s rate cuts enough to arrest the cascade, or are they arriving too late to prevent the spread repricing from feeding into defaults and earnings? We do not know the answer yet. But the cascade advancing through steps 5 and 6 while the Fed cuts is not the soft landing script.

Where We Are Now

Net assessment: The financial cascade is advancing. Two months ago, we were between steps 4 and 5. Now step 5 (spread widening) is underway and step 6 (vol spike) is in progress. The Fed is fighting the cascade with rate cuts. Banks have eased to neutral. But the market is repricing anyway.

The bull case is real: SLOOS at neutral, loan growth improving, real rates falling, 85 bps of cuts delivered. If this continues, the cascade arrests. The bear case is also real: spreads widening, vol spiking, equities selling off, the HY/IG ratio rising sharply, and rate cuts historically insufficient to prevent repricing once the cascade is in motion.

We are at the pivot point. The next two to three months determine whether the easing is enough. Watch SLOOS (does it continue easing or reverse?), HY OAS (does it stabilize at 320 or push toward 400+?), and the VIX (does it settle in the low 20s or sustain above 25?). The answers will tell you whether the cascade arrests at step 5 or completes.

How to Track This

Daily: HY OAS (ICE BofA via FRED), VIX, Treasury yields, SOFR. These are real-time market signals.

Weekly: Chicago Fed NFCI (released Wednesday), Fed H.8 bank lending data. The weekly cadence captures credit transmission in near-real-time.

Monthly: Consumer credit (Fed G.19, ~5 week lag), delinquency data (quarterly, ~2 quarter lag).

Quarterly (~30 day lag): Senior Loan Officer Opinion Survey. Most lagging but most predictive. The Q2 2026 SLOOS will be critical for confirming whether the easing trend holds.

Continuous: Our FCI composite and CLG are updated with each data refresh. The cascade progression is the primary signal to monitor.

Invalidation Criteria

Bull Case (Cascade Arrests, Soft Landing Confirmed) Confirmation:

• HY OAS reverses below 300 bps and holds for 4+ weeks

• SLOOS continues easing toward net loosening (<-10%)

• C&I loan growth accelerates above +5%

• VIX settles below 20

• CLG improves above -0.5 (credit catches up to labor)

• Equities recover to new highs

Current status: 1 of 6 conditions met (SLOOS easing trend intact).

Action if confirmed: The Fed’s cuts worked. Financial conditions are genuinely loosening. Overweight high-beta credit, financials, and cyclicals. The cascade stopped at step 5.

Bear Case (Cascade Completes, Financial Stress Materializes) Confirmation:

• HY OAS exceeds 450 bps (risk repricing accelerates)

• VIX sustains above 30 (fear regime)

• NFCI crosses above 0 (conditions tighter than average)

• SLOOS reverses back above +10% (banks re-tighten)

• Defaults rise above 4%

• FCI drops below -0.5 (tight regime)

Current status: 0 of 6 conditions met, but VIX briefly touched 29.5.

Action if confirmed: Maximum defensive. Overweight cash, long Treasuries, gold. Avoid all credit risk. The cascade completed despite rate cuts.

The Bottom Line

The Fed sets a rate. Financial conditions determine whether it matters. Right now, the Fed is cutting and financial conditions are tightening anyway. That is the story of March 2026.

The financial cascade has advanced. Six steps are complete. Steps 7 and 8 remain. The Fed is fighting it with rate cuts. Banks have eased to neutral. But vol has spiked, spreads are widening, and equities are selling off. The market is doing what markets do when the macro backdrop deteriorates: repricing risk faster than policy can offset it.

The NFCI says conditions are loose. Decompose it and you find a one-legged stool: the Risk subindex carries the entire reading while Credit and Leverage sit at neutral. The Credit-Labor Gap remains deeply negative: spreads have widened but not nearly enough to reflect labor fragility. The equity risk premium has improved but is still below its historical average. The dis-inversion clock is 18 months in and counting.

This pillar connects directly to what came before and what comes next. Government fiscal stress (Pillar 8) widens the term premium, which tightens financial conditions from the long end even as the Fed cuts the short end. Plumbing (Pillar 10) determines whether the system has the reserves to absorb the repricing when it accelerates. All three Monetary Mechanics pillars are pointing in the same direction: the system is under more stress than the headline numbers suggest.

Stability is a signal, not a comfort. The calmest readings in the financial system tend to cluster right before the repricing begins. That is not a warning to panic. It is a reminder that the absence of stress is not the same as the presence of safety.

Watch the cascade. Six steps are done. Two remain. The next domino is defaults. If they rise, the sequence completes regardless of how many basis points the Fed delivers.

Most liquidity indicators tell you where the ocean is. We built one that tells you which way the current is running.

Everyone has a liquidity model now.

Global M2. Net liquidity (balance sheet minus TGA minus RRP). The Hayes framework. The Alden framework. They all capture something real, and we respect the work behind them. But after building Lighthouse Macro’s broader research architecture across 12 macro pillars, we kept running into the same problem: none of the existing liquidity indicators captured how money actually reaches crypto.

Global M2 tells you the tide is rising. It doesn’t tell you whether the water is flowing into Bitcoin or sitting in money market funds. Net liquidity tracks the plumbing but ignores the crypto-native channels that have become the dominant transmission mechanism. And most frameworks are narrative-driven rather than statistically grounded, which makes them hard to size positions around.

So we built one that does all three.

What the CLI Is (and Isn’t)

The Crypto Liquidity Impulse is a weighted z-score composite measuring how fast global liquidity transmits into crypto. Not how much liquidity exists. How fast it’s moving.

That distinction matters. “Impulse” rather than “Stock” because we’re measuring rate of change, the second derivative. Impulse is a flow concept: it captures the acceleration of liquidity transmission, not the cumulative level.

The architecture is three tiers, eight components, spanning from the global macro backdrop down to on-chain capital deployment. Each tier captures a different lead time, and they compound. When all three tiers align, the signal is strong. When they diverge, something interesting is happening.

Tier 1: Macro Liquidity Tide

Lead time: 11-13 weeks. Highest weight.

This is the global backdrop. The tide that lifts (or sinks) all risk assets. Two components.

Global M2 Momentum measures the year-over-year change in broad global money supply. This isn’t controversial. Empirical research on global liquidity transmission shows roughly 40% of Bitcoin’s systematic price variance traces to global liquidity conditions, with Granger causality peaking at weeks 11-13. The debate isn’t whether this matters. It’s whether it’s sufficient. (It isn’t.)

Dollar Direction captures the rate of change in the trade-weighted dollar. Dollar peaks align with BTC cycle bottoms. This is the global risk appetite proxy, the capital flow signal that tells you whether the world is seeking safety or deploying into risk. When the dollar weakens and M2 expands simultaneously, you get the strongest macro tailwind crypto can have.

The chart tells the story. The relationship isn’t perfect, and it shouldn’t be. Pre-2020, BTC occasionally moved with the dollar, not against it. But the structural correlation has strengthened as institutional adoption has grown, and the divergences are often more informative than the convergences.

Tier 2: US Plumbing Mechanics

Lead time: 1-6 weeks. Second highest weight.

This is where most crypto liquidity actually originates. The internal plumbing of the US financial system. Five components.

Fed Balance Sheet (WALCL) tracks weekly changes as a proxy for aggregate liquidity supply. Straightforward. When the Fed’s balance sheet expands, reserves increase, and that liquidity finds its way into risk assets.

TGA Drawdown/Buildup Rate is the one most people underestimate. Treasury General Account movements directly affect bank reserves and available liquidity. When Treasury draws down the TGA (spending), reserves increase. When Treasury rebuilds the TGA (issuing debt), reserves decrease. The rate of change matters more than the level.

RRP Facility Balance was the liquidity buffer of 2022-2024. Post-depletion (effectively zero in 2025), this component has changed character entirely. TGA rebuilds now hit bank reserves directly with no cushion to absorb the impact. This is a regime change that most net-liquidity trackers haven’t internalized. Standard net liquidity formulas (BS - TGA - RRP) break when RRP is zero because the denominator of the buffer equation disappears.

SOFR-IORB Spread is the wholesale funding stress indicator. When this widens, money market plumbing is under strain. It’s a 1-4 week lead on broader financial stress.

HY OAS (Inverted) captures credit conditions as a transmission channel. Tight spreads signal risk-on, which is supportive for crypto flows. Wide spreads signal risk-off, which chokes the transmission mechanism.

Tier 3: Crypto-Native Transmission

Lead time: 0-2 weeks. Lowest weight but highest immediacy.

This is the channel that separates CLI from every other liquidity indicator. Macro liquidity can be expanding, plumbing can be accommodative, and crypto can still underperform if the transmission channels are broken. This tier captures whether the money is actually arriving.

Stablecoin Supply Momentum measures the rate of change in aggregate stablecoin market cap (USDT + USDC primarily). Bitcoin Magazine Pro has documented a 95% contemporaneous correlation with BTC. Stablecoins are the on-ramp. When stablecoin supply is growing, capital is entering the ecosystem. When it’s contracting, capital is leaving.

BTC ETF Net Flows (20-day) became a first-order variable after the spot ETF approvals. FalconX Research found an F-statistic of 8.48 (p = 0.004) for Granger causality from ETF flows to BTC price. With US spot Bitcoin ETFs holding roughly 1.3M BTC (approximately 7% of total supply), this channel is no longer marginal. It’s structural.

Exchange Stablecoin Reserves track on-chain capital sitting on exchanges, ready to deploy. This is the “dry powder” signal. High and rising reserves combined with expanding stablecoin supply and positive ETF flows creates the full transmission picture.

The Leverage Regime Filter

Here’s where it gets interesting.

Approximately 17% of the time, crypto positioning dynamics override macro liquidity trends entirely. Perp funding rates are screaming, forced selling or forced buying takes over, and the macro backdrop stops mattering for a while.

Perpetual futures funding rates proxy this leverage buildup. The regime filter is applied multiplicatively after the base composite calculation. When leverage gets extreme, the liquidity signal stops mattering because it’s all about positioning unwind. The filter catches that and adjusts the composite accordingly.

This filter is the difference between a model that works in normal regimes and one that doesn’t blow up during crypto-specific dislocations.

The Backtest

Sample: 2018-2025, roughly 2,900-2,950 daily observations.

We sorted every day by CLI reading into quintiles and measured forward BTC returns at 21, 42, and 63-day horizons.

Quintile Sort: CLI to Forward BTC Returns

Monotonic at all horizons. Every step up in CLI corresponds to higher forward returns. All p-values below 0.0001.

The quintile chart is the money shot. The monotonic staircase is clean. No inversions, no noise. Q1 to Q5, the relationship holds at every horizon.

Slugging Percentage

This is where it gets conviction-worthy. Slugging percentage measures the ratio of average win size to average loss size.

In expanding liquidity environments (Q5), wins are nearly 5x the size of losses at shorter horizons. In contracting environments (Q1), losses dominate by more than 2:1. This isn’t just a directional signal. It’s an asymmetry signal.

Tercile Regime Stats (63-Day Forward)

The expanding regime delivers over 16% average returns over 63 days with a 72% win rate. The contracting regime loses 8.3% with only a 33% win rate. The regime classification alone provides significant edge.

How CLI Differs from What’s Already Out There

This isn’t a criticism of existing frameworks. It’s a scope distinction.

Where We Are Now

CURRENT READING

CLI as of March 10, 2026: +0.11, placing it in Q3 (Neutral).

BTC: ~$70,000 · DXY: ~99 · VIX: ~31

The liquidity impulse has softened since late February. CLI has slipped from the Q3/Q4 boundary back into the middle of Q3 as dollar momentum stabilized and reserve dynamics lost some of their tailwind. The impulse isn’t contracting, but it’s no longer accelerating.

The backdrop is mixed. DXY has held near 99 as safe-haven demand from geopolitical risk offsets rate cut expectations pulled forward by weak labor data. February payrolls came in at -92,000, the worst monthly print since October. That should be dollar-negative through the rate channel, but geopolitical premium is keeping the dollar bid for now.

Meanwhile, price structure continues to diverge from the liquidity signal. BTC momentum (Z-RoC) has been negative, and price has struggled with both major moving averages. Macro liquidity says the impulse is neutral-to-supportive. Price structure says the market hasn’t responded yet.

That divergence either resolves with price catching up to liquidity (bullish) or liquidity rolling over to meet price (bearish). We’re watching which one blinks first.

When This Breaks

Every framework has conditions under which it stops working. Here are ours.

The CLI breaks if the correlation between dollar direction and BTC reverses persistently. It has before: pre-2020, Fed tightening occasionally increased BTC prices as it was still trading as a speculative novelty rather than a macro asset. If Bitcoin reverts to that identity, the macro liquidity channel weakens.

It breaks if stablecoin market structure changes fundamentally. A regulatory crackdown that eliminates the on-ramp channel would sever the Tier 3 transmission mechanism.

It breaks if reserve dynamics decouple from risk asset transmission, implying a structural regime shift in Fed operations.

And it breaks if Bitcoin’s correlation to macro liquidity collapses entirely as it transitions to a different asset class identity (pure store-of-value, for instance, with gold-like correlations rather than risk-asset correlations).

We don’t think any of these are imminent. But we list them because the framework can be wrong, and you should know under what conditions it would be.

What’s Public, What’s Not

Architecture, components, tier structure, and empirical results: public. That’s everything above.

Z-score calibration methodology, normalization windows, outlier treatment, component weights, and regime filter parameters: proprietary. That’s how the indicator is actually built.

We share the framework because the logic should be scrutinized. We keep the calibration because that’s the edge.

Bob Sheehan, CFA, CMT | Founder & Chief Investment Officer
Lighthouse Macro | @LHMacro

The Diagnostic Dozen Educational Series
Previously: Labor | Prices | Growth | Consumer | Housing | Business | Trade

Everyone talks about the Fed. Not enough people talk about the entity that actually moves the most money through the system: the U.S. Treasury. The Federal Reserve sets the price of overnight money. The Treasury decides how much debt to issue, at what maturity, and on what schedule. One controls the short end. The other floods the entire curve. And right now, the one doing the flooding is running deficits that used to be reserved for wars and depressions.

When fiscal deficits run at 6% of GDP outside of recession, that is not stimulus. That is structural. When interest on the debt exceeds $1 trillion annually, that is not a line item. That is a compounding trap. And when the entity backstopping the system is also the one straining it, you get a risk that does not show up in earnings calls or CPI prints. It shows up in the term premium. In auction tails. In the slow repricing of what “risk-free” actually means.

This is Pillar 8. The first pillar in our Monetary Mechanics engine. Where policy ambition collides with financing reality.

The Core Insight: The Borrower Has Become the Risk

Here is the chain. The government runs a structural deficit. That deficit must be financed with Treasury issuance. That issuance must be absorbed by someone. For the past fifteen years, the Federal Reserve was that someone, buying trillions through QE and suppressing term premium to near zero. That era is over. QT means the marginal buyer has shifted from the Fed (price-insensitive, buys at any yield) to the private market (price-sensitive, demands compensation for duration risk). When the buyer changes, the price changes. Term premium is the release valve.

We think the single most under-discussed risk in markets today is not a recession. It is the government’s tab. And unlike a recession, this one does not self-correct. Deficits do not narrow when growth slows because mandatory spending (Social Security, Medicare, interest) accelerates on autopilot. The math runs in one direction.

This is fiscal dominance: the government’s financing needs now dictate monetary conditions more than the Fed’s rate decisions. Term premium must reprice to roughly 150 basis points, the average that prevailed in the 1990s and 2000s when deficits were smaller and the Fed was not the marginal buyer. Currently around 50 basis points, it has a long way to go.

What to Watch and Why

The Government Conditions Index synthesizes seven weighted components into a single reading. But the individual indicators matter because they tell you different things at different speeds.

The deficit level tells you about structural dependence. The deficit trajectory (fiscal impulse) tells you about the growth impact of changes. Term premium tells you whether the market has noticed. Interest expense tells you about the compounding dynamic. Debt-to-GDP tells you about sustainability. The receipts-to-outlays gap tells you about the structural divergence. And foreign holdings tell you about the buyer base. Each indicator moves on a different timeline. Together they map the full picture of fiscal stress.

The Indicators That Matter

Federal Deficit as % of GDP: The Structural Baseline

The federal surplus or deficit as a percentage of GDP is the cleanest single measure of fiscal posture. Outside of recessions, the historical norm runs around 2-3% of GDP. During recessions, deficits typically widen to 5-10% as automatic stabilizers (unemployment insurance, lower tax receipts) kick in. The key distinction: cyclical deficits self-correct when the economy recovers. Structural deficits do not.

The current deficit at 5.8% of GDP is running at levels that used to require a recession to produce. The 2020 spike to -15% was an emergency. The persistence at -6% to -7% in 2023-2024 was not. This is the government spending more than it collects on a structural basis, driven by mandatory spending growth, elevated interest costs, and no political appetite for correction on either side.

For the framework, the level tells you about financing pressure. The direction tells you about growth impact. A deficit narrowing from 7% to 5% is technically contractionary (less government spending flowing into the economy) even though it is still a deficit. This is why spending cuts, if they materialize, are a macro drag regardless of their long-term fiscal virtue.

ACM 10-Year Term Premium: The Honest Signal

Term premium is the compensation investors demand for holding duration risk. It answers a simple question: how much extra yield do you need to lock up money for ten years instead of rolling short-term bills? After a decade of near-zero or negative term premium, thanks to the Fed’s QE purchases suppressing duration risk, it is normalizing.

The ACM model from the New York Fed shows the 10-year term premium around 50 basis points. That is up meaningfully from the -50 to 0 basis point range that prevailed during the QE era, but still far below the 150-250 basis point range that characterized the 1990s and 2000s when deficits were smaller and the Fed was not buying.

We think term premium needs to reach roughly 150 basis points to properly compensate for structural deficits in a post-QT world. That is roughly the average that prevailed from 1990 to 2007, a period when deficits were half the current level and the Fed was not buying duration. With both conditions now worse, 150 is arguably conservative. Moody’s downgrade in May 2025, completing the trifecta of sub-AAA ratings from all three major agencies, removed one more anchor that had been suppressing the premium investors demand. That repricing, if and when it happens, would add approximately 100 basis points to 10-year yields without the Fed changing rates at all. This is the mechanism through which fiscal stress tightens financial conditions independently of monetary policy. The “honest signal” in our framework because it cannot be talked away by forward guidance or managed through dot plots.

10-Year Yield Decomposition: What Is Actually Driving Yields?

The 10-year yield tells you very little on its own. A 4.5% yield driven by expectations of higher short rates is very different from 4.5% driven by term premium. The former says the market expects the Fed to stay tight. The latter says the market demands compensation for fiscal risk. The investment implications are completely different.

Currently, the expected short rate component (~3.55%) is doing most of the work, reflecting expectations that the Fed will keep policy rates elevated. But the term premium component (~0.50%) has been climbing. In the QE era, the term premium was doing negative work, actually pulling yields down. That dynamic has reversed. As QT continues and issuance remains heavy, term premium will increasingly drive the level of long rates. This is the composition shift we are watching: from a Fed-driven yield curve to a Treasury-driven yield curve.

Federal Interest Expense: The Compounding Trap

This is where the math gets uncomfortable. On an annualized basis, federal interest payments now consume roughly 21% of revenue. That means more than one in five dollars the government collects goes straight to servicing existing debt. Not building roads. Not funding defense. Not paying Social Security. Just interest.

The compounding trap works like this: higher rates mean higher interest costs on new and rolling debt. Higher interest costs widen the deficit. A wider deficit requires more issuance. More issuance puts upward pressure on rates. Repeat. This is not a theoretical feedback loop. It is the arithmetic reality of a $38.5 trillion debt stock refinancing at rates 200-300 basis points higher than the blended average coupon.

In nominal terms, the picture is even starker.

Federal net interest outlays hit $970 billion in FY2025, surpassing defense spending. On an annualized basis, the run rate has already crossed $1 trillion. The trajectory is not a function of policy choices. It is a function of the existing debt stock rolling over at higher rates. Even if the Fed cuts aggressively, the weighted average interest rate on outstanding debt will continue rising for years as old low-coupon debt matures and gets replaced at current rates.

Debt-to-GDP: The Trajectory Problem

Gross federal debt stands at 122% of GDP. The level itself is manageable. Japan runs above 250% and functions (though with very different dynamics: domestic savings surplus, current account surplus, and a captive buyer base through the Bank of Japan). The issue for the U.S. is not the level. It is the trajectory, combined with the fact that the U.S. relies on external financing and the marginal buyer is increasingly price-sensitive.

The ratio briefly spiked to 133% in Q2 2020 during the pandemic emergency, then fell as GDP rebounded. At 122%, it has now re-established an upward trajectory that the One Big Beautiful Bill Act (OBBB) will steepen. CBO scored OBBB at $3.4 trillion in additional deficits over ten years, with outside estimates ranging to $6 trillion depending on extension assumptions. Pre-OBBB, CBO’s January 2025 baseline projected debt held by the public reaching 118% of GDP by 2035. Post-OBBB, the trajectory is materially worse. The pandemic spike came down because GDP surged and emergency spending stopped. Neither condition applies to the structural deficit path ahead.

Fiscal Impulse: The Second Derivative of Government Spending

The impulse matters more than the level for growth. A fiscal impulse measures the year-over-year change in the deficit: positive means the government is adding more demand to the economy than it did last year (stimulative), negative means it is adding less (contractionary). A deficit going from 7% to 5% is contractionary even though it is still a deficit.

On a trailing 12-month basis through January 2026, the fiscal impulse is positive at roughly $502 billion, meaning the government is running a larger deficit over that window than the prior 12 months. For context, outside of the 2020-2021 emergency spending ($3-4 trillion swings), a $500 billion impulse is among the largest in modern history. Note: on a full fiscal year basis, FY2025 ($1,776B deficit) actually narrowed slightly from FY2024 ($1,828B), so the impulse reading depends on the measurement window. The trailing 12-month measure captures the most recent direction. For the framework, this creates a tension: if spending reforms actually materialize, the fiscal impulse turns negative, and that reversal hits GDP growth directly.

GCI-Gov Composite: Fiscal Stress in a Single Number

The Government Conditions Index synthesizes the indicators above into a single composite reading. Positive values indicate rising fiscal stress. Negative values indicate improving fiscal conditions.

GCI-Gov at +0.34 sits in the normal range but has been volatile. The composite captures the tension between deteriorating fiscal fundamentals (deficit, debt, interest burden) and the market’s willingness to absorb it (term premium, auction demand). When GCI-Gov sustains above +1.0, we initiate steepener trades and reduce duration exposure. The current reading says the market has not yet fully priced the fiscal trajectory, which is consistent with our view that term premium repricing is still ahead.

Foreign Holdings: The Changing Buyer Base

The share of gross federal debt held by foreign investors peaked around 34% in 2013-2014 and has been declining steadily. At 24.6%, foreign governments and institutions hold a smaller share of a much larger debt stock. The absolute level of foreign holdings has grown, but not nearly as fast as total issuance.

This matters for the term premium story. When the Fed was buying and foreign central banks were accumulating reserves in Treasuries, the marginal buyer was price-insensitive. They bought because they needed to, not because the yield was attractive. Now both of those flows have reversed: the Fed is running QT and foreign central bank reserve accumulation has slowed. The marginal buyer today is a domestic asset manager, a hedge fund, or a pension fund. They demand compensation. That compensation is term premium.

Receipts vs. Outlays: The Structural Gap

The cleanest visual of fiscal dominance is simply plotting what the government collects against what it spends. The gap between receipts and outlays is the deficit. When that gap widens persistently outside of recession, you are looking at a structural problem.

The scissors are opening, not closing. Receipts at $5.4 trillion are near record highs. The government is not suffering a revenue problem. Outlays at $7.1 trillion are simply growing faster. Mandatory programs plus interest expense are the drivers. This chart tells the whole story without a single ratio or z-score: the government collects more than ever and still cannot keep up with what it spends.

The Consensus Trap

“Deficits don’t matter because the U.S. can always print.”

The U.S. can technically always fund itself. It issues debt in its own currency and the Fed can, in extremis, monetize. But the cost of funding matters. When term premium reprices, it tightens financial conditions without the Fed lifting a finger. The “deficits don’t matter” crowd confuses solvency with sustainability. The U.S. will not default. But it can absolutely suffer a fiscal premium that compresses equity multiples, widens credit spreads, and crowds out private investment. That is not a theoretical risk. It is the base case for the next five years.

“DOGE and spending cuts will fix this.”

The math. Discretionary spending is roughly $1.7 trillion. Mandatory spending (Social Security, Medicare, Medicaid, interest) is roughly $4 trillion and growing on autopilot. You cannot cut your way to balance through discretionary alone. And the political will to touch mandatory spending does not exist. The cuts being discussed are a rounding error on the structural problem. Worse, if they actually materialize, the fiscal impulse turns negative and hits near-term growth. The long-term benefit is real but the short-term cost is contractionary. Watch actual appropriations, not headlines.

Where We Are Now

Current readings across the Government framework:

Three developments in recent months have made the structural story worse, not better. Moody’s stripped the U.S. of its last remaining AAA rating in May 2025, joining S&P (2011) and Fitch (2023). All three major agencies now rate the U.S. below prime. The One Big Beautiful Bill Act, signed in July 2025, added an estimated $3.4 trillion to 10-year deficits per CBO scoring. And as of late February 2026, the U.S. is funding Operation Epic Fury, a new military commitment, while already running 6% deficits. The structural story we have been building through this piece just got a real-time stress test.

Net assessment: The fiscal picture is structurally deteriorating but the market has not fully priced it. Term premium around 50 basis points is too low for a government running 6% deficits, 122% debt-to-GDP, and $1 trillion-plus in annualized interest with a declining foreign buyer base and a freshly downgraded credit rating. The repricing will come. The question is whether it comes gradually (manageable) or in a step function (disruptive). GCI-Gov in the normal range tells us the acute stress is not here yet. But the inputs are all trending in the wrong direction.

How to Track This

Annual (budget cycle): Federal deficit as % of GDP from the Office of Management and Budget. The fiscal year ends September 30.

Quarterly (~75-day lag): BEA NIPA data for interest payments, receipts, expenditures. Debt-to-GDP from the Federal Reserve. These move slowly but tell you about the structural trajectory.

Monthly (~30-day lag): Monthly Treasury Statement for real-time deficit tracking. This is the highest-frequency fiscal data available.

Daily: ACM term premium from the New York Fed. 10-year yield from the Federal Reserve. These are the market’s real-time verdict on fiscal sustainability.

Per auction: Treasury auction results from TreasuryDirect. Bid-to-cover ratios, tail size, and primary dealer share. The canary in the coal mine for demand stress.

Quarterly (refunding): Treasury Quarterly Refunding Announcement. The maturity mix decision (bills vs. coupons) has direct implications for term premium and plumbing.

Invalidation Criteria

Bullish invalidation (fiscal stress dissipates):

• Deficit narrows to below 4% of GDP sustainably (not just a cyclical revenue bump)

• Term premium stabilizes below 50 basis points with healthy auction metrics

• Bipartisan fiscal consolidation passes (mandatory spending reform)

• Interest expense peaks and stabilizes as a percentage of revenue

• Productivity boom raises nominal GDP growth above the weighted average interest rate

Bearish invalidation (our concern is wrong):

• Foreign demand for Treasuries surges on safe-haven flows, overwhelming supply

• Fed restarts QE or institutes yield curve control, artificially capping term premium

• Dollar reserve currency status proves sufficient to absorb unlimited issuance without repricing

• Inflation falls enough to allow aggressive rate cuts, reducing the interest expense trajectory

The Bottom Line

The government is not just setting policy. It is the largest market participant on Earth. When the borrower is this big and the buyer base is shifting from price-insensitive (the Fed, foreign central banks) to price-sensitive (domestic asset managers, hedge funds), term premium is the release valve. We think it needs to go higher. That repricing will tighten financial conditions even if the Fed cuts. It is the structural tension underlying everything else in 2026.

Pillar 8 connects forward. It feeds directly into Pillar 9 (Financial Conditions, because fiscal stress widens credit spreads) and Pillar 10 (Plumbing, because Treasury issuance is the primary drain on system liquidity). The Monetary Mechanics engine is where these three pillars reinforce each other: the government borrows, plumbing strains, financial conditions tighten. That is the loop. Understanding it is not optional for navigating what comes next.

This is how we analyze government fiscal dynamics.

Bob Sheehan, CFA, CMT
Founder & CIO, Lighthouse Macro

Previously in this series: Labor: The Source Code | Prices: The Transmission Belt | Growth: The Second Derivative | Consumer: The Last Domino | Housing: The Collateral Engine | Business: The Forward Commitment

Trade is where domestic policy meets global reality. Every tariff, every currency move, every supply chain disruption flows through the same pipeline: border prices change, input costs adjust, margins compress or expand, and eventually the consumer pays. Most analysts treat trade as a sideshow to growth or inflation. That is backwards. Trade is the transmission belt connecting all three. The dollar is the price of American competitiveness. Import prices are the leading edge of inflation. And the trade balance is the ledger where policy ambition collides with economic gravity.

This pillar matters more now than at any point since the 1930s. The 2025 tariff regime has rewritten the rules of cross-border commerce. Trade policy uncertainty has exploded to record levels. Supply chains that took decades to build are being rerouted in months. The strong dollar is amplifying every tariff into a double hit on exporters while masking the true cost of imports. Understanding how these forces interact is no longer optional for macro investors. It is the difference between seeing the inflation pipeline before it hits and reacting after the CPI print surprises you.

We are going to walk through the indicators that define our Trade Conditions framework. Not as isolated data points, but as a connected system where the dollar drives prices, prices drive competitiveness, competitiveness drives flows, and flows drive the balance. Once you see the chain, the individual readings start telling a story.

The Core Insight: Trade Is a Pipeline, Not a Snapshot

Most people look at the trade deficit and stop. It is big. It is chronic. It is structural. All true, all useless for forward-looking macro. The real value of the trade pillar is not the deficit number. It is the pipeline dynamics underneath.

Here is the chain: A stronger dollar makes imports cheaper and exports more expensive. Cheaper imports suppress import price inflation in the short run, which feels like a tailwind for consumers. But it also destroys export competitiveness, which crushes manufacturing orders, which eventually hits employment. Meanwhile, tariffs work in the opposite direction on prices, pushing import costs higher even as the dollar pushes them lower. The net effect depends on which force is bigger. Right now, we have both forces running simultaneously at historically extreme levels. That is not normal.

The framework tracks this pipeline in real time: dollar strength at the top, import/export prices in the middle, trade volumes and balances at the bottom, and inventory behavior as the feedback loop where trade flows meet domestic demand.

What to Watch and Why

The Trade Conditions Index synthesizes seven weighted components into a single reading. But the individual indicators matter as much as the composite because the sequencing tells you where you are in the cycle.

When the dollar strengthens first and import prices have not yet adjusted, the pipeline is building pressure. When import prices start rising and CPI goods have not followed, the pass-through is in transit. When inventories start building at the wholesale level, importers are front-loading ahead of expected tariffs. Each stage has a different investment implication.

The Indicators That Matter

U.S. Trade Balance: The Structural Deficit

The trade balance is the headline everyone cites and almost nobody uses correctly. The monthly goods and services balance measures the difference between what we export and what we import. A deficit means we consume more than we produce, financing the gap with capital inflows. That is not inherently bad. It is a function of the dollar’s reserve currency status and America’s relative consumption intensity.

The deficit ran at $70.3 billion in December 2025. That is narrower than the pandemic extremes but wider than anything pre-2020. What matters for macro is not the level but the direction and the driver. A deficit narrowing because exports are growing is bullish. A deficit narrowing because imports are collapsing is recessionary. You need to look inside the number.

The current narrowing is mixed: exports rebounding at 6.3% year-over-year while imports are contracting at -2.6%. That divergence is unusual and worth watching. When exports lead the improvement, it typically signals strengthening global demand. When imports contract simultaneously, it may signal domestic demand weakening or tariff-induced import substitution. The composition tells you the story the headline cannot.

Exports & Imports: Volume Dynamics

The year-over-year growth rates of total exports and imports tell you about demand on both sides of the border. When both are growing, global trade is expanding. When both are contracting, you are looking at synchronized weakness. The divergence between them is the signal.

Exports are growing at 6.3% year-over-year while imports are contracting at -2.6%. This is an unusual divergence. Exports rebounding suggests overseas demand is holding up, possibly driven by a weaker global supply of competing goods or restocking by trading partners ahead of tariff uncertainty. Imports contracting could signal domestic demand softening, tariff-induced import substitution, or front-loading effects washing out.

Historically, when exports and imports move in opposite directions for more than two quarters, it signals a structural shift in trade dynamics, not just a cyclical swing. The 2018-2019 trade war episode showed a similar pattern: imports from China collapsed while total exports initially held up before eventually rolling over as retaliation hit. Watch for whether export growth sustains or whether this is a last gasp before tariff retaliation bites.

The Trade-Weighted Dollar: The Competitiveness Gauge

The dollar is the single most important variable in the trade pillar. It determines the price of every import and the competitiveness of every export. We track three versions of the Federal Reserve’s trade-weighted dollar: Broad (all major partners), Advanced Foreign Economies, and Emerging Markets.

The Broad dollar index stands at 118.0, near its highest levels in two decades. But the decomposition is what matters. The Advanced Economies index at 110.4 is elevated but not extreme. The Emerging Markets index at 127.5 is near record highs. This divergence tells you where the pressure is concentrated: EM currencies are bearing the brunt of dollar strength, which means EM-sourced imports are becoming dramatically cheaper while EM export markets for U.S. goods are becoming prohibitively expensive.

For the framework, strong dollar conditions create a specific pattern: import prices stay suppressed (deflationary for goods), export volumes weaken (drag on growth), and trade-sensitive sectors like manufacturing and agriculture face margin pressure. The current dollar strength is acting as a deflationary force on one side while tariffs push inflationary on the other. These two forces are running a tug of war in real time.

Dollar Z-RoC: The Momentum Signal

Knowing the dollar’s level is useful. Knowing its momentum is better. The Dollar Z-RoC takes the 63-day rate of change in the trade-weighted dollar and z-scores it against a rolling one-year window. This strips out the level and isolates whether the dollar is accelerating or decelerating relative to its own recent history.

At extremes above +1.5, the dollar is strengthening at a pace that historically reverts. At extremes below -1.5, the dollar is weakening at a pace that typically stabilizes. The current reading near -0.90 is in neutral territory but drifting toward weakness, which would be consistent with tariff-driven capital flow shifts. For the trade pipeline, dollar momentum matters more than dollar level because import price adjustments respond to the rate of change, not the absolute value.

U.S.-China Bilateral Trade: The Decoupling

The China bilateral trade relationship is the single largest component of the U.S. trade deficit and the epicenter of every tariff regime since 2018. Tracking exports to and imports from China separately reveals the structural decoupling that headline numbers obscure.

Imports from China peaked in 2018 and have been structurally declining since. China’s share of total U.S. imports has fallen from roughly 22% to under 10%. That is a real decoupling. But the deficit did not shrink proportionally. It shifted. Vietnam, Mexico, India, and other manufacturing hubs absorbed the redirected flows. The aggregate deficit persists because the fundamental driver was never China-specific. It is the combination of U.S. consumption intensity, the reserve currency premium, and comparative advantage in services over goods.

Exports to China at $8.4 billion monthly remain a fraction of imports. The bilateral deficit is structural and deeply embedded in supply chain geography. For the framework, China bilateral data is a proxy for tariff regime effectiveness. When China imports fall but total imports hold steady, trade diversion is dominating trade reduction. The tariffs changed the routing, not the volume.

Import Prices vs. CPI Goods: The Inflation Pipeline

This is the most underappreciated lead-lag relationship in macro. Import prices lead CPI goods by three to six months. The mechanism is straightforward: when what you pay at the border goes up, what you pay at the register eventually follows. The lag exists because retailers absorb margin compression before passing costs through, and because inventory buffers create a time delay between purchase and sale.

Import prices are essentially flat year-over-year at 0.0%. CPI core goods are running at 1.4%. The pipeline is calm. But this is December 2025 data, before the full implementation of the 2025 tariff regime. The question is not where import prices are. It is where they are going.

The historical pattern is clear: every significant import price acceleration has preceded a CPI goods acceleration by three to six months. The 2021-2022 episode was textbook. Import prices surged above 11% year-over-year in mid-2021. CPI goods followed, peaking months later. The pipeline works in both directions. The 2023 disinflation was also led by import price deflation. This relationship is one of the most reliable in our framework.

Import Price Components: Where the Pressure Lands

The headline import price index is dominated by petroleum, which makes it noisy and unreliable for tracking tariff pass-through. Decomposing import prices by end-use category reveals where the actual pressure is building.

The ex-petroleum index at +1.0% year-over-year is the cleanest read on underlying import inflation. It strips out the oil noise that dominates the headline. Consumer goods prices at -0.3% are still deflating, which tells you that tariff pass-through to final goods has not yet materialized in the data. Industrial supplies at +0.6% are barely positive, suggesting input cost pressures are muted.

This decomposition matters because different components hit different parts of the economy at different speeds. Industrial supplies feed into PPI and manufacturing costs within one to two months. Consumer goods feed into CPI goods within two to four months. Capital goods prices affect investment spending decisions on a longer horizon. Right now, all three are near zero. That calm will not last if the 2025 tariff schedule takes full effect.

The Tariff Pipeline: Import Prices to Core PCE

If import prices vs. CPI goods shows the pipeline for goods inflation, this chart shows the deeper pipeline to the Fed’s preferred measure. Import prices ex-petroleum, lagged four months, track Core PCE with remarkable consistency. This is the chain the Fed is watching.

Import prices ex-petroleum lead Core PCE by approximately four months. The current reading of 0.7% on import prices suggests Core PCE pressure should remain contained in the near term. But the lag is the weapon. If import prices accelerate from here due to tariff implementation, the Core PCE impact arrives in mid-2026, right when the Fed is trying to navigate its next rate decision. This is the pipeline that keeps the Fed in a box: they cannot cut rates to support growth if trade-driven inflation is coming through the pipeline.

Terms of Trade: The Competitiveness Barometer

The terms of trade ratio (export prices divided by import prices, indexed to 100) tells you whether the U.S. is getting a better or worse deal on its cross-border transactions. Above 100 means we earn more per unit of exports than we pay per unit of imports. Below 100 means the opposite.

The terms of trade at 109.0 is near its highest level in decades. This is counterintuitive. How can U.S. terms of trade be favorable when the trade deficit is $70 billion? Because the U.S. exports high-value goods (capital goods, technology, agricultural commodities) while importing lower-value manufactured goods. The dollar’s strength suppresses import prices more than it suppresses export prices because U.S. exports are priced in dollars and face less competitive substitution.

For the framework, favorable terms of trade are typically expansionary but can mask building imbalances. If the terms of trade are favorable because import prices are depressed by dollar strength rather than genuine productivity gains, the reversal, when it comes, creates a sudden inflationary impulse. A 10-point decline in the terms of trade historically corresponds to a 1-2 percentage point increase in import price inflation within six months.

Trade Policy Uncertainty: When Businesses Cannot Plan

The Economic Policy Uncertainty Index for trade (from PolicyUncertainty.com) measures the frequency of trade policy-related uncertainty in news coverage and economic forecasts. It captures the meta-level of trade disruption: not the tariffs themselves, but the inability to plan around them.

This chart is the single most important visual in the trade framework right now. Trade policy uncertainty at 3,027 is not just elevated. It is at record highs by a wide margin. The 2019 trade war peaks, which felt extreme at the time, registered around 1,000-1,500. The NAFTA debates of the early 1990s barely moved the needle by comparison. The current reading is in uncharted territory.

Why this matters: trade policy uncertainty leads capital expenditure by three to six months. When businesses cannot plan their supply chains, they do not invest. When they do not invest, orders contract. When orders contract, employment follows. The transmission from trade uncertainty to real economic activity is well-documented. The current level of uncertainty is consistent with a significant capex pullback in the second half of 2026, all else equal. This is the single biggest risk from the trade pillar feeding into the Business pillar.

Current Account: The Financial Mirror

The current account balance is the broadest measure of U.S. external transactions. It includes the trade balance (goods and services) plus primary income (investment returns) and secondary income (transfers). Every trade deficit must be financed by a capital account surplus, meaning foreigners must buy U.S. assets to offset the trade imbalance.

The quarterly current account deficit of $226 billion (annualized roughly $900B) is dominated by the goods deficit at $267 billion. Services run a consistent surplus of $89 billion, reflecting U.S. dominance in financial services, technology licensing, and tourism. Primary income is nearly balanced at $5 billion.

For the macro framework, the current account is structural rather than cyclical. It moves slowly and tells you about long-term sustainability rather than near-term direction. The key risk is not the deficit itself but the financing mechanism. When foreign appetite for U.S. assets weakens (rising term premium, declining Treasury demand), the current account deficit becomes a funding vulnerability. This is where the Trade pillar connects to the Government pillar: fiscal deficits widen the current account, and both must be financed by the same pool of foreign capital.

Real Net Exports: The GDP Drag

Net exports as a GDP component puts the trade deficit in growth terms. Real net exports measure the actual subtraction from GDP in chained dollars, stripping out price effects to show the volume drag.

Real net exports at -$950 billion represent a substantial drag on GDP growth. When this number narrows (becomes less negative), it adds to GDP. When it widens, it subtracts. The recent deterioration to levels worse than the pre-pandemic trend reflects the combined impact of strong domestic demand pulling in imports and tariff uncertainty disrupting normal trade patterns. For GDP forecasting, watch the quarterly change rather than the level. A narrowing of $50 billion in a quarter typically adds roughly 0.2 percentage points to GDP growth.

Inventory-to-Sales Ratios: The Feedback Loop

Inventories are where trade flows meet domestic demand. The inventory-to-sales ratio measures how many months of sales are sitting in warehouses. Rising ratios mean either demand is weakening or importers are front-loading. Falling ratios mean either demand is surging or supply chains are constrained.

Total business inventory-to-sales at 1.37 is above the pre-pandemic norm of ~1.35 but below the 2020 spike. The more interesting reading is the decomposition. Manufacturers at 1.56 are carrying elevated inventories, consistent with softening orders and production. Wholesale and retail at 1.28 each are closer to normal.

For the trade framework, wholesale inventories are the key series. When tariffs are announced but not yet implemented, importers front-load, pulling forward demand and building wholesale inventories. When the tariffs actually hit, demand drops and those inventories become a drag. The 2018-2019 trade war showed this exact pattern: wholesale inventories surged in late 2018 as importers raced to beat tariff deadlines, then became excess inventory that suppressed import demand for two quarters. Watch for a repeat of this cycle.

The Consensus Trap

The consensus treats trade data as backward-looking confirmation of what everyone already knows: the deficit is big, tariffs are disruptive, and the dollar is strong. This misses three things.

First, the pipeline dynamics. Import prices lead CPI goods by three to six months. By the time the CPI print surprises, the import price data already told you it was coming. Most analysts look at import prices and CPI separately rather than as a connected pipeline.

Second, the tariff arithmetic. A 25% tariff does not mean 25% higher prices. It means 25% higher costs on the tariffed goods, partially absorbed by foreign producers cutting margins, partially absorbed by domestic importers cutting margins, and partially passed through to consumers. The actual pass-through rate historically runs 40-60% within the first year. Consensus either ignores this nuance or assumes 100% pass-through, both of which are wrong.

Third, the trade diversion effect. Tariffs on China did not reduce total imports. They rerouted them through Vietnam, Mexico, and India. The aggregate deficit barely moved. The consensus framing of tariffs as “trade reduction” ignores the overwhelming empirical evidence of “trade diversion.” The macro impact is real but different from what the headlines suggest.

Where We Are Now

Current readings across the trade framework:

Net assessment: The trade pipeline is calm but coiled. Import prices are flat, the dollar is strong, and the terms of trade are favorable. That is the current snapshot. The forward-looking picture is different. Trade policy uncertainty at record highs will suppress capital expenditure. The 2025 tariff regime has not yet fully flowed through to import prices. When it does, the pipeline from import prices to CPI goods will reactivate. The key variable is the dollar. If it stays strong, it partially offsets tariff-driven import inflation. If it weakens, tariffs and currency depreciation compound into a significant inflationary impulse. We are watching the ex-petroleum import price index as the cleanest forward signal. A move above 3% year-over-year would confirm tariff pass-through is materializing.

How to Track This

Monthly (first tier, ~35-day lag): Trade balance, exports/imports by country, wholesale inventories. Released by Census Bureau.

Monthly (second tier, ~14-day lag): Import/Export price indices from BLS. These are the leading indicators. Watch all imports, ex-petroleum, and the end-use components.

Daily/Weekly: Dollar indices from the Federal Reserve. The trade-weighted broad dollar and EM component are updated daily with a one-day lag.

Monthly (supplemental): Trade Policy Uncertainty Index from PolicyUncertainty.com. Not a traditional economic indicator but one of the best predictors of capex behavior during trade regime transitions.

Quarterly (~75-day lag): Current account balance from BEA. Slow-moving but essential for understanding the financing dynamics and term premium implications.

Invalidation Criteria

Bullish case breaks if:

• Import prices ex-petroleum sustain above +3% YoY (tariff pass-through confirmed)

• Trade policy uncertainty stays above 2,000 for two consecutive quarters (capex freeze)

• Dollar broad index breaks above 125 (competitiveness destruction)

Bearish case breaks if:

• Import prices stay below +1% YoY despite tariff implementation (absorption by foreign producers)

• Trade policy uncertainty falls below 500 (regime clarity restored)

• Dollar weakens below 110 broad (competitiveness improving)

• Export growth sustains above 5% YoY for three months (global demand holding)

The Bottom Line

Trade is not a sideshow. It is the pipeline connecting the dollar to inflation, connecting tariffs to capex, connecting supply chain disruption to inventories, and connecting all of it to the current account that finances America’s consumption habit.

Current conditions: calm on the surface, coiled underneath. The import price pipeline is flat, but the tariff regime has not yet fully materialized in the data. Trade policy uncertainty at record highs is the clearest forward risk. The dollar’s strength is masking inflationary pressure while simultaneously crushing export competitiveness.

Watch the ex-petroleum import price index. When it accelerates, the pipeline is active and CPI goods inflation follows in three to six months. As long as it stays near zero, the tariff bark is worse than the bite. But at record trade policy uncertainty, businesses are not waiting for confirmation. They are already pulling back on investment. That is where the real damage shows up, not in the trade deficit, but in the capex freeze that follows.

This is how we analyze international trade and the dollar.

This is the 7th in a 12-part series on the Lighthouse Macro framework. Next up: Government and Fiscal Dominance.

Follow Lighthouse Macro on X (@LHMacro) for real-time chart drops and framework updates.

Bob Sheehan, CFA, CMT
Founder & CIO, Lighthouse Macro

Here is what happened:

Defensive basket vs. SPY: XLU +7.9% and XLP +7.6% relative in five weeks. IWM and XLV flat. The calls that worked, worked big.

The outperformance is not flashy. It is structural. SPY lost 0.6% while XLU returned +7.3% and XLP gained +7.0% absolute. In a flat-to-down tape, that is the entire game.

The vol call is worth highlighting separately. We said VIX in the mid-teens was mispricing risk. VIX moved from 15.44 to 19.09, a 23.6% increase in the index level. The specific P&L depends on expression (VIX calls, put spreads on SPY, long VXX), but the directional read was correct and well-timed.

Members research. Read the full piece at https://lighthousemacro.com/research/positioning-update-february-23-2026.html or open it in Pharos.

Previously in this series: Labor | Prices | Growth | Consumer | Housing

Business investment is the most honest macro signal. Consumers spend out of habit. Governments spend out of inertia. Businesses spend out of conviction. When a CEO signs a purchase order for $50 million in equipment, that is not sentiment. That is a bet on demand six to eighteen months from now, backed by real capital. When those orders stop, the bet has changed.

This is what makes the business pillar different from everything else in the framework. Surveys capture intentions. Orders capture commitments. Inventories capture mistakes. The sequencing matters: confidence turns first, then orders, then production, then inventories, then employment. By the time layoffs hit the headlines, the business cycle already turned months ago. You were just reading it wrong.

The current picture is genuinely conflicted. ISM Manufacturing just printed 52.6, breaking back into expansion for the first time in 12 months. Core capital goods orders are running at +5.9% year-over-year. Corporate profits are growing at +4.3%, modestly positive but nothing like the acceleration you’d expect if this were a new upcycle. The Leading Economic Index is still declining. Capacity utilization sits at 75.5%, well below the threshold that generates pricing power. Manufacturing is expanding output without adding workers, the leading indicators have not confirmed the turn, and regional surveys are barely above zero. The ISM says one thing. Everything else says: not so fast.

The question is whether we’re watching a genuine manufacturing stabilization or a head-fake powered by pre-tariff front-loading and fiscal impulse that fades once the orders are filled. Answering that requires looking beneath the headlines, at the subcomponents, the credit channel, and the relationship between what businesses are ordering and what they’re actually earning. That’s the framework.

The Core Insight: The Business Transmission Chain

Business activity operates through a cascading sequence: CEO Confidence leads to Capex Plans, which become Equipment Orders, which drive Production Schedules, which shape Inventory Decisions, which determine Hiring Plans, which generate Payroll Expansion, which becomes Consumer Income, which creates Final Demand, which reinforces (or undermines) CEO Confidence. A self-reinforcing loop, in both directions.

Each link has a measurable lag. Equipment orders lead GDP by 3-6 months. Hiring follows production plans by 2-4 months. Capacity utilization determines pricing power with a 3-6 month delay. Get the business call right, and you’ve captured the GDP growth rate half a year forward.

Business investment is the most cyclical GDP component. First to fall in recessions, first to rise in recoveries. One dollar of equipment spending generates income for the supplier, who hires workers, who spend wages, who create demand for other businesses. The same mechanism works in reverse.

What to Watch and Why

We organize business analysis through three lenses: surveys and sentiment (what businesses intend to do), hard data (what they actually did), and structural health (whether the foundations support continued expansion or are quietly eroding). No single indicator tells the full story. The discipline is triangulating across all three and watching for divergences.

Surveys lead because intentions precede actions. ISM surveys and Regional Fed indices give you a 2-4 week head start on the hard data. Hard data (orders, production, shipments) confirm or deny what the surveys suggested. Structural health (profits, productivity, credit conditions) tells you whether the current trend is sustainable or running on fumes.

When surveys are strong, hard data confirms, and structural health is solid, the expansion is real. When surveys are strong but employment doesn’t follow, regional breadth is weak, and the LEI hasn’t confirmed, you’re watching an expansion without conviction. That’s exactly where we are now.

The Indicators That Matter

ISM Manufacturing PMI: The Headline

The ISM Manufacturing PMI is the single most-watched business survey on the planet. Published on the first business day of each month, it gives you a read on the goods economy before any other hard data arrives. Above 50 means manufacturing is expanding. Below 50 means it is contracting. Below 45 has preceded every recession since the 1950s.

Manufacturing just broke back into expansion, printing 52.6 in January 2026. The context matters: this ends 12 consecutive months of contraction, which itself followed a brief two-month expansion that interrupted the prior 26-month contraction streak. Manufacturing has spent the better part of three years below 50. The return above it deserves attention, but it also deserves skepticism.

Why skepticism? Because the composition matters more than the headline. A PMI above 50 driven by new orders rebuilding is genuinely bullish. A PMI above 50 driven by prices surging while employment contracts is inflationary, not expansionary. The subcomponents tell you which story you’re living in.

The Mfg-Services Bifurcation: Late-Cycle Divergence

One of the most reliable late-cycle signals is when manufacturing and services diverge. Manufacturing leads because it produces physical goods that require inventory decisions, supply chain commitments, and capital investment. Services are stickier, sustained by employment contracts, subscriptions, and healthcare obligations that don’t get cancelled as quickly.

The gap is narrowing. Manufacturing PMI at 52.6 and the ISM Services composite at 53.8 puts the spread at just 1.2 points in services’ favor, down from double-digit gaps during the extreme bifurcation of 2022-2024. (The chart above uses Services Business Activity at 57.4 rather than the composite, because the composite is not available in our data feed. The composite averages Business Activity, New Orders, Employment, and Supplier Deliveries.) In the typical late-cycle sequence, manufacturing leads down first and services follows 6-9 months later. The current pattern shows manufacturing rebounding while services remains steady. This convergence is worth monitoring closely. It could signal a rotation from services-led growth back toward goods-led growth, possibly driven by restocking, reshoring investment, or pre-tariff front-loading. Alternatively, it could be a head-fake where a temporary orders surge masks underlying weakness.

The 2022-2025 cycle was extreme in its bifurcation. Manufacturing contracted for over two years while services barely dipped below 50. If convergence continues and manufacturing moves sustainably above services, that would be genuinely bullish for the goods economy. If manufacturing rolls back below 50, the failed breakout becomes a distribution signal.

ISM Manufacturing Subcomponents: The Story Beneath the Headline

The headline PMI is a composite of five subindices: New Orders, Production, Employment, Supplier Deliveries, and Inventories. Each tells a different story about where in the cycle we are.

Three things stand out:

New Orders at 57.1. This is the most forward-looking subcomponent and it leads the headline PMI by 1-2 months. Orders above 55 historically correlate with manufacturing GDP growth of 3-4%. The strength here is real and suggests the ISM headline has legs, at least for the near term.

Employment at 48.1. This is the red flag. Manufacturing is expanding output without adding workers. That can mean productivity improvements, overtime hours replacing new hires, or management uncertainty about whether the demand surge is permanent. When orders are above 55 but employment is below 50, businesses are telling you they see the demand but don’t trust it enough to commit to headcount. That is a conditional bet, not a full commitment. This is where the Business pillar meets the Labor pillar. If ISM Employment stays below 50 even as orders surge, the labor flows we track won’t deteriorate, but they also won’t improve.

Prices Paid at 59.0. Input cost pressure is returning. This feeds into the inflation picture and complicates the Fed’s path. If manufacturing is re-accelerating with prices rising, the “last mile” of disinflation gets harder, especially in goods prices that had been deflationary for most of 2023-2024.

Core Capital Goods Orders: The Forward Commitment

If ISM surveys capture intentions, capital goods orders capture commitments. Core capital goods orders (nondefense, excluding aircraft) strip out the noise from Boeing and defense procurement to reveal what the private sector is actually ordering in terms of equipment, machinery, and technology.

Core capex orders are running at +5.9% year-over-year. That is solidly positive and consistent with a modest expansion, but not the kind of surge that signals a major capex upcycle. Shipments, which measure what’s actually being delivered, are at +5.6%. The narrow spread between orders and shipments means backlogs are roughly stable.

The question is whether this pace of growth reflects genuine investment in new capacity, reshoring supply chains, and technological upgrade cycles, or whether some of it is front-loading ahead of anticipated tariff increases. The 2017-2018 analog is instructive: capital goods orders surged on the back of the Tax Cuts and Jobs Act and anticipated tariffs, then collapsed through 2019 as the front-loading effect wore off. At +5.9%, the current pace is healthy but not extreme enough to suggest aggressive pull-forward. If it accelerates sharply in coming months, the front-loading hypothesis gains weight.

The Bookings/Billings Ratio and Durable Goods

The ratio of orders to shipments (bookings to billings) reveals whether the backlog is growing or shrinking. Above 1.0 means demand exceeds supply. Below 0.95x signals demand failing to keep pace with supply.

At ~1.00x, the bookings-to-billings ratio shows orders roughly matching shipments. Backlogs are stable, not building. That’s consistent with steady-state production rather than an acceleration. It’s not a warning sign, but it’s not a growth signal either. Factories are filling orders at roughly the rate they’re receiving them.

Total durables at +10.0% YoY versus ex-transportation at +5.1% tells you Boeing orders are inflating the headline. At +5.1%, ex-transport is solidly positive but not as euphoric as the total suggests. The direction is right, the magnitude is modest.

Business Inventories: The Mistake Detector

Inventories are where optimistic forecasts go to die. When businesses build inventory expecting demand that doesn’t arrive, the result is a liquidation cycle: production cuts, order cancellations, and layoffs to burn through the excess. The inventory-to-sales ratio is the diagnostic tool.

The I/S ratio at 1.37 is in the balanced zone. Below 1.35 means inventories are lean (bullish for production). Above 1.40 means inventories are elevated relative to sales (bearish, liquidation risk). At 1.37, there is no immediate overhang. Inventory growth has moderated to +1.2% year-over-year, down from double-digit growth during the 2021-2022 post-COVID restocking surge.

This is quietly good news. One of the key risks in any manufacturing recovery is an inventory overshoot where orders surge, production ramps, but final demand doesn’t follow. The lean I/S ratio suggests businesses learned from the 2021-2022 bullwhip effect and are managing stock more carefully this cycle.

Regional Fed Manufacturing Surveys: The ISM Preview

Five regional Federal Reserve banks publish their own manufacturing surveys before the national ISM release. Taken together, they provide a 2-3 week preview of where ISM is heading.

The five-survey average sits at 2.2, barely in expansion territory and well below where the ISM’s 52.6 would imply. That divergence matters. Either the regionals catch up in coming months (confirming the ISM breakout) or the ISM reverts downward (the breakout was noise). The resolution will take 2-3 months. District-level dispersion reinforces the skepticism: Philly is the strongest at +12, while Richmond sits at -6 and Kansas City at -2. The manufacturing recovery, if it is one, is geographically uneven.

Industrial Production & Capacity Utilization: Output Meets Constraint

Industrial production measures actual factory output. Capacity utilization measures what percentage of available production capacity is being used.

IP growth at +2.3% year-over-year is positive but modest. The more important number is capacity utilization at 75.5%. The 78% threshold matters because above it, factories start competing for labor, equipment, and materials, which generates pricing power and inflation. Below it, there is slack in the system. At 75.5%, manufacturing has room to expand output without triggering inflationary bottlenecks.

This is the tension in the current picture. ISM says manufacturing is expanding robustly. Capacity utilization says there’s plenty of room to absorb that expansion without overheating. That’s actually a goldilocks scenario for the near term, if it lasts.

Corporate Profits: The Bottom Line

Revenue is vanity. Profits are sanity. Corporate profits before tax capture what actually flows to the bottom line after businesses pay their workers, suppliers, and overhead. Profits peak before the economy does and trough before the economy does. They are both a coincident indicator of business health and a leading indicator of future hiring and investment decisions.

Corporate profits before tax are growing at +4.3% year-over-year (Q3 2025, BEA). Positive, but hardly booming. This is the kind of modest profit growth that sustains the status quo without triggering a new hiring or investment wave. It keeps businesses from cutting costs aggressively, but it doesn’t give them a reason to expand headcount either. That is consistent with ISM Employment below 50: the order book is full enough to avoid layoffs, thin enough to avoid hiring.

The historical pattern matters here: profits peak before the economy does and trough before the economy does. At +4.3%, profits are decelerating from the double-digit growth rates of 2021-2022, and the direction of travel matters more than the level. When profit growth decelerates toward zero, businesses shift from expansion mode to preservation mode. The first cuts are discretionary spending (travel, consulting, marketing). Then headcount. We’re not there yet, but the trajectory is worth watching closely. If profits decelerate further through Q1 2026, the labor market should start reflecting that caution by late 2026.

Unit Labor Costs vs Productivity: The Margin Squeeze

The relationship between unit labor costs and productivity determines margin direction. When productivity growth exceeds labor cost growth, margins expand. When labor costs outrun productivity, margins compress. Simple arithmetic, profound consequences.

The good news: unit labor costs at +1.3% are running below productivity growth at +1.9%. The -0.7 percentage point gap means margins are expanding at the aggregate level. This is consistent with the modest profit growth we see in the BEA data (+4.3%) and helps explain why businesses aren’t cutting costs aggressively. As long as productivity continues to outpace labor costs, the profit picture remains stable. The risk is if tariff-driven input cost pressure (ISM Prices Paid at 59.0) starts eating into margins faster than productivity gains can offset. That would turn modest profit growth into stagnation, and stagnation into cuts.

Business Loans & Delinquency: The Credit Channel

Credit is the lubricant of business expansion. When loan growth is positive and delinquencies are low, businesses have access to capital and the confidence to use it.

C&I loan growth at +3.0% year-over-year is positive but unremarkable. Compared to the +12-15% growth rates seen during expansion peaks, current lending is restrained. Business loan delinquencies at 1.3% are elevated versus the 0.8-0.9% lows of 2022 but well below the 4%+ levels that signal systemic stress.

The credit channel is not constraining business expansion, but it is not amplifying it either. Banks are lending cautiously. Borrowers are borrowing selectively. Mid-cycle normalization, not a credit crunch.

Conference Board Leading Economic Index: The Composite Crystal Ball

The LEI aggregates 10 forward-looking economic indicators into a single composite: manufacturing new orders, building permits, stock prices, credit spreads, consumer expectations, and the yield curve. (Note: the Conference Board restructured the LEI’s components in 2023, which affects direct comparisons with pre-2023 readings.) When the LEI declines year-over-year by more than 4% for six or more months, a recession has historically followed.

The LEI fell 0.2% in December 2025 to 97.6, extending its decline. Year-over-year, it remains near -3.7% and has been negative for over two years. This is one of the longest sustained declines on record without a recession materializing. Two interpretations compete. The bull case: the LEI is structurally impaired by the inverted yield curve component, which has been sending a false signal in an era of term premium distortion. Remove the yield curve component, and the LEI looks less alarming. The bear case: the LEI’s signal is being delayed, not negated, because fiscal spending and excess savings provided unusual buffers that merely extended the lag between signal and recession. Those buffers are now largely exhausted.

Either way, the LEI has not confirmed the manufacturing breakout. Until it does, the ISM surge exists in tension with the broader leading indicator framework.

The Consensus Trap

The consensus narrative on the business cycle right now falls into one of two camps, and both are oversimplified.

Camp 1: “Manufacturing is back.” ISM above 50, capex orders positive, new orders strong. Buy industrials, buy materials, buy the cyclical rotation.

Camp 2: “The LEI is still negative.” Leading indicators declining for over two years, capacity utilization showing slack, employment not following. The ISM breakout is noise. Stay defensive.

Both camps are cherry-picking. Camp 1 ignores that ISM at 52.6 is barely in expansion, employment hasn’t followed, and regional surveys at 2.2 aren’t confirming. Camp 2 ignores that new orders at 57.1 are genuinely strong, capex growth is positive, and profits (while modest) aren’t contracting. The sharper question: does the new orders strength translate into sustained expansion with employment and profits accelerating, or is this a front-loaded burst that fades once pre-tariff orders are filled? The employment subcomponent is the tell. If ISM Employment stays below 50 even as orders surge, businesses are hedging. They see the demand but don’t trust it. That conditional posture resolves one way or another within 2-3 quarters.

Where We Are Now

Current readings across the business framework:

How to Track This

Monthly cadence:

1. First business day: ISM Manufacturing PMI. The headline and the subcomponents. Watch New Orders (lead indicator) and Employment (commitment indicator).

2. Third business day: ISM Services PMI. Watch for convergence or divergence with manufacturing.

3. Regional Feds (mid-month): Empire State (NY Fed), Philly Fed, Richmond Fed, Dallas Fed, Kansas City Fed. Individually noisy, collectively useful as ISM preview.

4. Last week of month: Durable Goods Orders (Census). Core capital goods orders and shipments. The bookings/billings ratio.

5. Quarterly: Corporate Profits (BEA, lagged 2 months). Unit Labor Costs and Productivity (BLS). LEI (Conference Board, monthly but most informative on a quarterly trend basis).

Key relationships:

• New Orders lead the headline PMI by 1-2 months

• ISM leads Industrial Production by 2-3 months

• Capital goods orders lead actual investment spending by 3-6 months

• Profits lead hiring/firing decisions by 2-4 quarters

• Regional Fed surveys lead ISM by 2-3 weeks

Invalidation Criteria

Bull Case (Sustained Manufacturing Recovery) Confirmation:

• ISM Manufacturing holds above 52 for 3+ consecutive months

• ISM Employment returns above 50 (businesses hiring, not just filling orders)

• Regional Fed 5-survey average rises above 10

• Corporate profits accelerate above +8% YoY growth

• LEI turns positive year-over-year

• Capacity utilization crosses above 78%

Current status: One of six conditions met (ISM above 52, one month of data).

Action if confirmed: Increase cyclical exposure. Overweight industrials, materials, and mid-cap equities with manufacturing leverage. Core capex orders at current levels support a 6-12 month positive outlook for the goods economy.

Bear Case (Profit-Led Downturn) Confirmation:

• Corporate profits contract for 3+ consecutive quarters

• ISM Manufacturing rolls back below 48

• Core capex orders turn negative year-over-year

• I/S ratio exceeds 1.45 (inventory overshoot)

• Business loan delinquencies rise above 2.0%

• ISM Employment drops below 45

Current status: Zero of six conditions met.

Action if confirmed: Reduce cyclical exposure. Underweight small caps and industrials. Monitor credit spreads for stress acceleration. The profit-to-layoff transmission typically takes 2-4 quarters.

The Bottom Line

Business investment is the economy’s forward commitment. Surveys tell you what businesses intend to do. Orders tell you what they’ve committed to. Inventories tell you when they got it wrong. Profits tell you whether it’s working.

Current conditions: conflicted. The ISM breakout above 50 after manufacturing spent the better part of three years in contraction is a meaningful signal. Core capex orders at +5.9% confirm businesses are investing. Profits at +4.3% are positive, not crashing. But employment isn’t following, regional surveys are barely above zero, capacity utilization shows ample slack, and the LEI remains in warning territory. The expansion is real but conditional.

Watch the employment subcomponent. When businesses start hiring into the order surge, that’s confirmation the expansion is sustainable. As long as they’re filling orders with existing capacity and overtime, they’re telling you they don’t trust it yet. Neither should you.

This is how we analyze the business cycle.

Housing is not shelter. It is the financial system’s collateral backbone, the Fed’s primary transmission channel, and the single most rate-sensitive sector in the economy. Miss it, and you’re trading the economy of 2024 while living in 2026.

The paradox of the current housing market is straightforward: prices are stable, transactions are frozen, and everyone is waiting for someone else to move first. Existing home sales just printed 3.91 million (SAAR) in January 2026, the lowest since September 2024 and still 40% below the 2021 peak. Median prices rose 0.9% year-over-year. The market is not crashing. It is not recovering. It is stuck.

Most analysis stops at rates and prices. Mortgage rates are down, prices are up, so the market must be fine. Or: rates are still too high, so the market must be broken. Both framings are incomplete. They miss the structural dynamics that determine when this frozen equilibrium breaks, which direction it breaks, and what it means for everything else in the macro cycle.

The question is not whether housing is expensive. It is whether the lock-in effect, the structural deficit, and the affordability math are converging toward a thaw or a deeper freeze. Answering that requires a framework, not a headline.

The Core Insight: The Frozen Equilibrium

Housing markets can be frozen without being broken. Transaction volumes collapse while prices hold because buyers and sellers retreat simultaneously for different reasons. Buyers can’t afford current rates. Sellers refuse to list because they’re locked into 3-4% mortgages and the math of moving to a 6% mortgage is punishing. The result is stasis. Not a correction. Not a recovery. A standoff.

This is not 2008. That was a credit crisis where overleveraged borrowers defaulted, inventory flooded the market, and prices collapsed 35% nationally. The current cycle is a rate shock freeze. Rates doubled from 3% to 7% in 18 months, the fastest tightening of housing finance since the Volcker era. But unlike 2008, the borrower profile is strong. Median FICO on new originations exceeds 750. Negative equity is 2.1%. Delinquencies are near historic lows.

We call this the “golden handcuffs.” Over 80% of outstanding mortgages carry rates below the current market rate by 200+ basis points. The MBA estimates that this lock-in effect has removed roughly 1.5 million potential listings from the market, creating a self-reinforcing loop:

Low listings → low inventory → price support → high prices worsen affordability → fewer buyers → fewer transactions → sellers see no urgency → fewer listings.

The equilibrium is fragile. It breaks one of two ways: rates decline enough to unlock supply and demand simultaneously (every 50 basis points frees a new cohort of locked-in sellers), or an external shock forces selling into a market with insufficient demand. Which break comes first is the entire housing call.

The Three-Stage Housing Stress Sequence provides the operational framework:

Stage 1: Rate Shock (2022-2023). Rates spike. Transactions collapse. Prices wobble but hold because inventory evaporates alongside demand. This is where the lock-in effect kicks in.

Stage 2: Frozen Equilibrium (2023-Present). Low transactions, low inventory, stable-to-rising prices. Builders capture market share from locked-in resale sellers. New home sales as a percentage of total sales reaches historically elevated levels. The market is stable, not healthy.

Stage 3: Resolution. Either rates ease enough to unlock supply and demand simultaneously (bullish resolution), or an economic shock forces sellers into a market that lacks sufficient demand to absorb them (bearish resolution).

We are deep in Stage 2. The critical question is which version of Stage 3 we’re heading toward, and the indicators that follow are how we answer it.

What to Watch and Why

Housing analysis requires three lenses: demand (who wants to buy and whether they can), supply (what’s available and what’s coming), and credit health (whether stress can transmit to the financial system). Watching only one guarantees you miss the turn. The discipline is triangulating across all three.

The Indicators That Matter

Existing Home Sales: The Volume Signal

Existing home sales capture roughly 85% of all transactions. The January 2026 print of 3.91 million (SAAR) was the sharpest monthly decline in nearly four years, down 8.4% from December. The long-term median is 5.23 million. Current levels are 25% below that, oscillating in a 3.8-4.4 million band since mid-2023. A sustained move above 4.5 million signals thawing. Below 3.5 million signals the freeze is deepening.

New Home Sales and the Builder Market Share

While existing sales froze, builders told a different story. New home sales at 737,000 SAAR are capturing outsized share because builders can offer what locked-in resale sellers cannot: rate buydowns, incentives, and move-in-ready inventory. New homes now represent roughly 16% of total sales versus a historical norm closer to 10-12%. That shift is structural, not cyclical. As long as the lock-in effect suppresses resale listings, builders fill the gap. The 2015-2019 average was 595,000. Current levels are 24% above that, even with rates north of 6%.

The Shelter Inflation Bridge: Market Rents to CPI

Shelter represents 34% of CPI and 18% of Core PCE. Market rents lead official CPI shelter by 12-18 months with remarkable reliability. This is the single most important cross-pillar indicator in the housing framework.

National rents per Zillow are running roughly 1.9% year-over-year. CPI shelter has decelerated to 3.0% as of January 2026, consistent with the ZORI signal from 12-18 months prior. With market rents under 2%, further shelter deceleration toward 2.5% by late 2026 is the base case, mechanically dragging core CPI lower by 0.2-0.4 percentage points. This feeds directly into Fed policy, mortgage rates, and the housing market itself. A feedback loop with a long delay.

Mortgage Rates and Affordability: The Binding Constraint

The 30-year fixed mortgage rate averaged 6.09% for the week ending February 12, 2026, down from 6.87% a year ago. Rates have been in a 6.0-6.3% range since December 2025, the lowest sustained level since September 2022.

The affordability math is unforgiving. At 6.1%, the monthly payment on a median-priced home ($396,800, 20% down) is approximately $1,925 versus $1,340 at pre-pandemic 3.0% rates. That 44% increase is why first-time buyers now account for only 31% of sales versus the historical 40%. Rule of thumb: every 100 basis points translates to roughly 10% change in affordability. The market needs rates closer to 5.5% to see meaningful unfreezing.

Builder Sentiment: The Smart Money’s Thermometer

The NAHB Housing Market Index dropped to 37 in January 2026, the 21st consecutive month below 50. Buyer traffic collapsed to 23. Builders commit capital 12-18 months ahead of sales, making them the smart money in housing.

Currently, 40% of builders report cutting prices (the highest since May 2020) and 65% are offering incentives: rate buydowns, closing cost assistance, upgrades. Builders are buying volume with margin compression. Sustainable for large publics like D.R. Horton and Lennar. Less so for smaller builders, accelerating industry consolidation.

Housing Starts and Permits: The Construction Pipeline

Housing starts tumbled to 1.246 million SAAR in October 2025, the lowest since June 2020. Single-family starts were 874,000 while multi-family starts collapsed to 372,000.

Building permits at 1.412 million lead starts by 1-2 months. The permit-start gap is a forward indicator: when permits exceed starts, the pipeline is building. When starts exceed permits, the pipeline is draining. Single-family permits at 878K remain below the roughly 1 million pace needed to match household formation.

Inventory and Supply: The Bifurcation

The inventory picture depends entirely on which market you’re looking at. Existing home inventory at 1.22 million units (3.7 months of supply) remains tight. The lock-in effect keeps resale supply structurally constrained. New home inventory tells a different story.

New home months' supply at 7.9 reflects builders who kept building through the rate shock and are now facing weaker demand. This is the opposite of the existing market: too much supply, not too little. Builders respond by cutting prices and offering incentives, compressing margins to sustain volume. The bifurcation, undersupplied existing market and oversupplied new market, is the defining feature of this cycle.

Freddie Mac estimates the national housing shortfall at 3-4 million units. That structural deficit is the floor under prices broadly. But new home inventory at current levels means builders, not existing homeowners, will bear the brunt of any further demand weakness.

Home Prices: The Lagging Confirmation

Home prices are the most watched and least useful leading indicator in housing. They lag transaction activity by 3-6 months and are distorted by compositional shifts.

NAR’s median existing home price ($396,800, January 2026) rose 0.9% year-over-year. The Case-Shiller repeat-sales index shows 1.4%, a different methodology that controls for the mix of homes sold. Both tell the same story: low single-digit appreciation, not the double-digit gains of 2021-2022. Regional divergence is significant: New York +5.1%, Chicago +5.7%, San Francisco +0.5%, Atlanta flat. The K-shaped divergence reflects local supply dynamics, not a national trend. Supply-constrained Northeast markets are hitting new highs while Sun Belt markets return to earth.

Real home price appreciation (nominal minus CPI) is roughly flat to slightly negative, meaning housing is becoming incrementally more affordable in real terms even as nominal prices edge higher. This is the healthy resolution: wages growing faster than prices, compressing the ratio without a crash. It is also the slowest resolution. At current rates of nominal appreciation (~1-2%) and wage growth (~4%), the affordability gap closes by roughly 2-3 percentage points per year. That math implies years, not quarters, before the median household can comfortably afford the median home at prevailing rates.

Mortgage Credit Health: The Systemic Risk Gauge

This is where the current cycle diverges most dramatically from 2008.

Total home equity exceeds $17 trillion. Negative equity is approximately 2.1%. Even a 15-20% price decline would leave the vast majority of borrowers above water. FHA delinquencies at ~11.5% are the leading edge to watch, elevated but well below crisis levels. Lending standards per the SLOOS have stabilized. The credit channel is not adding to housing stress.

The Construction Pipeline: Supply Wave Clearing

The units already in the pipeline tell the forward story. Under-construction units peaked in mid-2023 and are now declining as completions catch up, particularly in multifamily. This MF supply wave is what’s driving rental market softness, feeding directly into the shelter disinflation that eventually pulls down CPI. National rents per Zillow are growing roughly 1.9% year-over-year, a significant deceleration from the 15%+ peaks of 2022. The buy-versus-rent calculus remains heavily skewed toward renting in most major metros, with monthly mortgage payments exceeding median rent by $800-1,200. Until that gap narrows, renters have little financial incentive to become buyers.

When construction costs rise faster than prices, builders pull back even if demand exists. Tariffs on Canadian softwood lumber (35.2%), steel (50% combined), and Chinese building materials (50%+) are adding an estimated $10,000-$20,000+ to the cost of a new home per NAHB. A tight construction labor market (30%+ immigrant workforce) and rising regulatory costs ($95,000+ per unit per NAHB) create a supply-side constraint that reinforces the structural deficit.

The Consensus Trap

Surface narrative: “Mortgage rates are coming down, affordability is improving, inventory is building. Spring 2026 will be the breakout.”

What is actually happening: Existing sales just printed the worst January in over two years. NAHB has been below 50 for 21 consecutive months. 40% of builders are cutting prices. “Most affordable since March 2022” is a low bar cleared by an inch, not a mile.

Two biases trap consensus on housing:

Level bias. Analysts focus on mortgage rate levels rather than the lock-in spread. A 6.1% rate is lower than 7.0%, true. But what matters for transaction volume is the spread between prevailing rates and outstanding mortgages. That spread remains over 200 basis points for most homeowners. Rates need to fall further, not just stabilize.

Cycle analogy bias. Comparing today to 2008 or 2019 misses the fact that this cycle has no precedent. The combination of a rate shock, golden handcuffs, structural supply deficit, and historically strong credit profiles has never occurred simultaneously. The market is not crashing, not normalizing, and not booming. It is frozen, a distinct regime.

Where We Are Now

The housing market in February 2026 sits in Stage 2: the Frozen Equilibrium.

Demand is weak but stabilizing. Sales at 3.91 million are frozen (sub-3.5M = severe distress, 4.5M+ = normal). MBA purchase applications are modestly above year-ago levels. Direction positive, level depressed.

Supply is structurally tight, cyclically easing. Months’ supply at 3.7 is approaching balanced but new construction remains below the pace needed to address the 3-4 million unit deficit.

Credit is healthy. Delinquencies low, equity cushions large, lending standards stabilized. The credit channel is not engaged. This is the single most important difference from any housing downturn in modern history.

Affordability remains the bottleneck. Rates at 6.1% are 78 basis points below a year ago, but first-time buyer participation at 31% signals the entry-level market is still locked out.

Builder outlook is pessimistic but adapting. NAHB at 37 is firmly negative, but builders are responding with incentives, rate buydowns, and a shift toward smaller, more affordable units.

Policy is mixed. The Fannie/Freddie $200 billion MBS purchase program is a direct attempt to compress mortgage spreads. Whether it works depends on spread transmission and Treasury market cooperation. Meanwhile, tariff escalation pressures construction costs and immigration enforcement could tighten the construction labor market further.

Net assessment: neutral-to-slightly-bearish on transactions, neutral-to-slightly-bullish on prices (structural deficit), firmly not-a-crisis on credit. The thaw requires rates closer to 5.5%. Neither imminent nor impossible on a 6-12 month horizon.

The Cross-Pillar Connection

Housing connects to every other pillar in the framework, but four links matter most:

Housing to Prices. The shelter-CPI bridge is the most important cross-pillar link. Shelter is 34% of CPI and 18% of Core PCE. Market rents lead official shelter measures by 12-18 months. Housing generates the “last mile” inflation lag we covered in Post 2.

Housing to Growth. Residential fixed investment is 3-5% of GDP directly, but the wealth effect amplifies its contribution. A frozen housing market contributes zero growth impulse, dragging on both residential investment and wealth-effect-driven consumption.

Housing to Consumer. The wealth effect channel: $1 of home equity generates roughly $0.05-0.08 in additional spending with a 3-6 month lag. With total home equity exceeding $17 trillion, housing wealth is the largest component of median household net worth and the buffer that determines how long consumers can sustain spending when labor softens.

Housing to Financial Conditions. Mortgage credit quality determines whether housing stress reaches the banking system. In 2008, housing was the financial crisis. In 2026, strong credit quality means housing is not a systemic risk. That is the most important single fact about this cycle.

How to Track This Pillar

Existing Home Sales. Below 3.5M = severe stress. Above 4.5M = thawing. (Monthly, NAR, ~21st)

New Home Sales. Rising new/existing ratio = resale dysfunction. Above 750K = builder strength. (Monthly, Census, ~25th)

30-Year Mortgage Rate. Below 5.5% unlocks meaningful supply. (Weekly, Freddie Mac, Thursdays)

NAHB HMI. Below 50 = negative. Below 30 = capitulation. (Monthly, NAHB, 3rd Monday)

Housing Starts. Below 1.0M = recession signal. Above 1.3M = expansion. (Monthly, Census, ~17th)

Case-Shiller National HPI. Gold standard for prices, 2-month lag. Supplement with Zillow ZHVI for real-time. (Monthly, S&P/Cotality, last Tuesday)

Zillow ZORI. 12-18 month leading indicator for CPI shelter. (Monthly, Zillow Research)

MBA Purchase Applications. Highest-frequency demand signal, leads sales by 4-8 weeks. (Weekly, MBA, Wednesdays)

Invalidation Criteria

Every thesis needs an exit door.

Bull Case (Housing Thaw) Confirmation:

If the following occur simultaneously for 3+ months, the frozen equilibrium thesis is invalidated and we should expect a sustained recovery in housing activity:

• 30-year mortgage rates sustain below 5.5%

• Existing home sales rise above 4.5 million SAAR for 3 consecutive months

• NAHB returns above 50

• MBA purchase applications rise 15%+ year-over-year for 3+ months

• First-time buyer share returns above 35%

• Active listings rise 20%+ year-over-year (locked-in sellers relisting)

Current status: Zero of six conditions met.

Action if confirmed: Increase exposure to rate-sensitive housing equities (XHB, ITB). Reassess shelter inflation trajectory for faster deceleration.

Bear Case (Credit Contagion) Confirmation:

If the following occur, housing is deteriorating beyond a frozen market into a systemic credit event:

• FHA 30+ day delinquency rate exceeds 14%

• Negative equity share rises above 5%

• Existing home months’ supply exceeds 6.0

• Foreclosure filings increase 50%+ year-over-year for two consecutive quarters

• XHB underperforms S&P 500 by 15%+ over a rolling 3-month window

• SLOOS shows net tightening on residential lending exceeding 40%

Current status: Zero of six conditions met.

Action if confirmed: Reduce equity exposure broadly. Underweight housing and financials. Monitor MBS spreads for systemic stress signals.

Framework drives positioning, but the framework can be wrong. Data determines outcome.

The Bottom Line

Housing is the economy’s collateral engine. It drives consumer wealth, construction employment, shelter inflation, and credit conditions simultaneously. The sequencing: housing activity leads prices by 3-6 months, leads shelter CPI by 12-18 months, and leads consumer spending through the wealth effect with a 3-6 month lag.

Current conditions: frozen, not broken. Transactions depressed, credit quality strong, prices stable on a structural deficit that continues to widen. Affordability is the binding constraint, improving at the margin but not fast enough to unlock the golden handcuffs.

The resolution depends on rates, which depend on inflation, which depends on the shelter lag that housing itself generates. A feedback loop with a long delay. The base case is a gradual unfreezing. The risk case is an economic shock that forces selling into a market with insufficient demand. The framework tells you which indicators to watch for each scenario. The data will tell you which one is unfolding.

This is how we analyze housing.

Bob Sheehan, CFA, CMT

Founder & CIO, Lighthouse Macro

This is the 5th in a 12-part series on the Lighthouse Macro framework.

Next up: Business Investment and the Forward Commitment.

The consumer is not a leading indicator. It is a lagging confirmation of what labor, credit, and confidence already told you. And it represents 68% of GDP.

That is the paradox. Personal Consumption Expenditures is the single largest component of economic output. When consumer spending contracts, there is nowhere for GDP to hide. Yet by the time that contraction arrives, labor already cracked 6-9 months prior, credit stress was visible in delinquency data, and confidence surveys had been deteriorating for two quarters. The consumer is the last domino.

This is why most consumer analysis gets the sequencing wrong. Headlines celebrate “resilient consumer spending” while the fuel tank that supports that spending is draining. The question is not just “is the consumer spending?” It is “what is funding the spending, and how long can it last?”

The Core Insight: Income vs Credit

Here is the conceptual unlock that separates useful consumer analysis from headline-watching.

Consumer spending has only two funding sources: income and credit. When spending is funded by income growth (wages rising, employment expanding, hours stable), the spending is sustainable. When spending is funded by credit (savings depleted, credit card balances rising, delinquencies climbing), the spending is borrowed from the future.

The distinction matters because the two regimes look identical in the headline data. Real PCE at +2.6% tells you nothing about whether that spending is income-driven or credit-driven. Both produce the same GDP print. But one is sustainable and the other is a countdown timer.

We track this through what we call the Three-Stage Stress Sequence. It operates the same way every cycle:

Stage 1: Savings Depletion. Income growth slows but spending habits persist. Consumers draw down savings to maintain lifestyle. The saving rate falls. This can persist for 12-18 months.

Stage 2: Credit Substitution. Savings exhausted, consumers turn to credit. Credit card balances rise. Delinquencies begin climbing. Interest payments consume a growing share of income. This stage is inherently unstable.

Stage 3: Spending Collapse. Credit dries up or becomes unaffordable. Spending contracts. Durables first (big-ticket deferrals), then nondurables, then eventually services. Corporate revenues fall. Layoffs begin. The reinforcing loop turns vicious.

The chart makes the dynamic visible. When the orange line (spending) runs above the blue line (income), consumers are spending more than they earn. Something else is funding the difference. In 2020-2021, it was stimulus checks and savings accumulation. Today, it is credit. The income-spending gap currently stands at -1.5 percentage points. Spending growth of +2.6% is outrunning income growth of +1.0%. That arithmetic has an expiration date.

What to Watch and Why

We approach consumer analysis through three lenses. Not a checklist, but a framework for organizing the signal from the noise.

Spending flows capture what consumers actually do. Personal Consumption Expenditures, retail sales, credit card transactions. These are output variables: the result of income, confidence, and credit availability interacting. Spending flows tell you where the economy is, not where it is going. Watch the composition (durables vs services) more than the aggregate. Durables turn first at cycle inflections because consumers defer big-ticket purchases before cutting everyday spending.

The fuel tank captures what is funding the spending. Income growth (aggregate payrolls: employment times hours times wages), the saving rate, and disposable income. When the fuel tank is full (saving rate above 7%, real income growing 2%+), spending can persist. When it is empty (saving rate below 4%, real income barely positive), spending is running on fumes.

Stress signals capture the cracks forming beneath the surface. Credit card delinquencies, the debt service ratio, consumer confidence indices. These are the early warning system. Delinquencies lead spending cuts by 3-6 months. Confidence surveys lead spending by 1-3 months. The stress signals flash before the spending data confirms.

The discipline is triangulating across all three. When spending flows are positive but the fuel tank is draining and stress signals are rising, you are watching Stage 2 of the stress sequence. The headline looks fine. The foundation is eroding.

The Indicators That Matter

Personal Consumption Expenditures: The 68% Anchor

PCE is the largest GDP component. It breaks into three pieces: durable goods (cars, appliances, furniture), nondurable goods (food, gasoline, clothing), and services (healthcare, housing, dining, travel). Services alone represent nearly 70% of total PCE.

Why the decomposition matters: durables are the cyclical canary. When consumers lose confidence, they defer big-ticket purchases first. You do not need a new car this quarter. You do need groceries. Durable goods spending peaked at +32% YoY in April 2021 (the post-COVID stimulus surge) and has been normalizing since. Nondurables are stable. Services are sticky (lease contracts, subscriptions, healthcare obligations create inertia).

The chart shows the pattern. Durables swing wildly (the COVID spike and normalization dominate the picture). Services are steadier. At cycle turns, watch for durables to decelerate or contract while services hold. That divergence is the early signal that the consumer is pulling back on discretionary spending while maintaining essentials.

Current reading: Real PCE is growing at +2.6% year-over-year. The headline looks solid. But December 2025 retail sales came in flat (0.0% month-over-month, below +0.4% consensus), with the control group at -0.1%. The monthly data is catching up with what the flow dynamics already suggest. This is the aggregate number, and the aggregate can deceive. We need to look beneath it.

The Saving Rate: The Fuel Gauge

The personal saving rate measures what percentage of disposable income is not spent. It is the buffer. When the saving rate is high, consumers have capacity to absorb shocks (job loss, unexpected expenses, rate hikes). When it is low, there is no cushion. Every dollar earned is already spoken for.

Why it works as a leading indicator: the saving rate signals future spending capacity. A falling saving rate means consumers are spending an increasing share of income. That can persist for a while, but it reduces the margin for error. When it drops below 4%, consumers are effectively living paycheck-to-paycheck in aggregate.

The saving rate peaked at ~33.8% in April 2020 (stimulus checks with nowhere to spend them, revised upward in the BEA’s 2023 NIPA update). The excess savings accumulated during COVID (~$2.1 trillion per the SF Fed) were fully depleted by Q1 2024. The SF Fed’s savings tracker was subsequently discontinued after September 2024. At 3.5%, consumers are at the “stressed” threshold. The buffer has been gone for nearly two years. Stage 1 is not just complete, it is ancient history. The next question: what replaces savings?

Consumer Credit: The Accelerant and the Warning

When savings run out, consumers turn to credit. Rising credit balances are not inherently problematic. Credit greases the wheels of commerce. The problem emerges when credit substitutes for income rather than supplementing it. When balances rise while delinquencies climb, that is not healthy credit expansion. That is desperation.

Revolving credit (credit cards) is the stress indicator. Per the Fed’s G.19 release (January 8, 2026), credit card debt specifically grew +3.4% YoY in 2025, outpacing the total consumer credit growth rate of +2.4%. Nonrevolving credit (auto, student) grew a more subdued 2.0%. Credit card debt carries APRs averaging 22.3% for cardholders carrying balances, making it the most expensive form of consumer borrowing. Both rates have been declining since the Fed began cutting in September 2024, but the starting point was so elevated that relief is marginal. When consumers lean on credit cards to fund everyday spending, the interest burden compounds quickly. Nonrevolving credit (auto loans, student loans) is more structural and less cyclical.

The delinquency trajectory tells the story. Credit card delinquencies bottomed at 1.5% in 2021 when stimulus checks and forbearance programs suppressed defaults. They doubled to ~3.2% by Q2 2024, the highest level since 2012. Through Q3 2025, the credit card rate had been declining for five consecutive quarters to 3.0%, suggesting stabilization. Then the NY Fed’s Q4 2025 Household Debt Report (released February 10, 2026) showed a broader re-acceleration: aggregate delinquency across all debt types worsened to 4.8% from 4.5%, with credit card transitions into serious delinquency ticking back up. These are different metrics: the 3.0% is credit card-specific (Fed), the 4.8% is all household debt combined (NY Fed). Both are moving in the wrong direction. This is not crisis territory (the GFC peak for credit cards was 6.8%), but the trend reversal is significant. Delinquencies lead charge-offs by 3-6 months. Charge-offs lead bank lending tightening by another quarter. The transmission chain is in motion.

The 3.5% threshold is where stress transitions from “manageable” to “problematic.” At 5.0%, regional banks with concentrated consumer lending portfolios face capital impairment. Credit stress does not resolve itself. It transmits.

Consumer Confidence: The Psychological Driver

Confidence surveys measure expectations, not outcomes. They tell you what consumers plan to do, not what they have done. That makes them noisy but potentially leading.

We track two primary surveys. The University of Michigan Consumer Sentiment Index, measured consistently since the 1960s, captures the broader consumer mood. The Conference Board Consumer Confidence Index focuses more on labor market perceptions and forward expectations, making it a sharper cyclical signal.

UMich sentiment bottomed at 53 in December 2025 before recovering modestly to 56.4 in January and 57.3 in the February preliminary reading. The bounce is real but modest, still well below the 65 threshold that historically coincides with or precedes recessions. For context, it hit 50 during the June 2022 inflation shock before recovering to the high 70s.

But the more alarming signal is from the Conference Board. Consumer Confidence plunged to 84.5 in January 2026, the lowest reading since May 2014 and below pandemic-era levels. The Expectations Index fell to 65.1, well below the 80 threshold that historically signals recession within the next year. UMich bouncing modestly while Conference Board collapses suggests current conditions are stabilizing but forward expectations are deteriorating. That divergence is not reassuring.

The important caveat: confidence surveys have become increasingly partisan since 2016. The signal is noisier than it used to be. That said, when both major surveys are this weak, even accounting for partisan distortion, something real is happening. When consumers feel this pessimistic, spending decisions follow. The buying conditions sub-index is particularly useful: it asks whether now is a good time to buy large household items. When buying conditions deteriorate, durable goods purchases follow with a 1-3 month lag.

Aggregate Payrolls: The Paycheck Reality

Consumer spending is ultimately funded by paychecks. Aggregate weekly payrolls (employment times average weekly hours times average hourly earnings) capture the total income flowing into the economy each week. This is the fundamental driver. Everything else, savings, credit, confidence, operates in relation to this baseline.

Current configuration: Aggregate payrolls are growing +3.7% nominal, +1.1% real. Those numbers sound adequate, but they represent a deceleration. At the start of 2024, nominal payroll growth was running above 5%. The slowdown reflects all three components fading: employment growth decelerating, average weekly hours declining to 34.1, and wage growth moderating. The tailwind that supported consumer spending through 2023-2024 is losing force.

The January 2026 employment report (released February 11) adds important context. Headline payrolls added 130,000 jobs, above consensus. But cumulative benchmark revisions subtracted 898,000 jobs from 2025 totals. The average monthly gain for 2025 was just 15,000 after revisions, far weaker than previously reported. Federal government employment fell 34,000 (DOGE-related separations beginning to show up). The income pillar is weaker than previously understood. The Employment Cost Index reinforces this: ECI rose only 0.7% in Q4 2025, the slowest quarterly pace since 2021, indicating wage growth is decelerating beneath headline average hourly earnings figures.

The connection to our labor pillar is direct. We covered in Post 1 how the quits rate leads income growth by 6-9 months. When workers stop quitting, wage growth slows. When wage growth slows, aggregate payroll growth slows. When payroll growth slows, the fuel tank drains faster. The transmission chain is mechanical.

The Debt Service Ratio: The Payment Burden

The household debt service ratio measures required debt payments (mortgage, auto, credit card, student loan) as a percentage of disposable income. It captures how much of each paycheck is already committed to servicing existing debt. The higher the ratio, the less discretionary spending power remains.

The DSR bottomed at 9.1% in Q1 2021 (low rates + stimulus). It has since risen to 11.3%, crossing above the 10% “stretched” threshold. The driver is not primarily new borrowing but the repricing of existing variable-rate debt at higher rates. Credit card APRs averaging 22.3% for those carrying balances mean even stable balances generate higher required payments. The pre-GFC peak was 15.9%. The DSR has plateaued around 11.1-11.3% for the past two years, but any further rate repricing pushes it higher mechanically.

Household Net Worth: The Wealth Mirage

Aggregate household net worth tells one story. The distributional reality tells another.

The NW/DPI ratio at 7.9x (per the Fed’s January 2026 Z.1 update) looks historically strong, above the long-term average of ~6.1x. But the top 10% of households hold roughly 68% of total net worth (Fed Distributional Financial Accounts, January 2026). The bottom 50% hold effectively zero or negative net worth. The “wealthy consumer” is real. The “average consumer” is a statistical fiction. When we say “the consumer is strong” based on aggregate data, we are describing the top quintile.

This bifurcation shows up in spending data. Luxury retailers report robust demand. Discount retailers gain share as middle-income consumers trade down. The aggregate PCE number of +2.6% masks a K-shaped consumer: the top spending +4%, the bottom barely positive or negative in real terms. The “trading down” phenomenon (brand-name to private-label, sit-down to fast-casual, new cars to used) does not show up in the aggregate. But it shows up in corporate earnings: Walmart gains, Target loses. The aggregate holds because the top quintile accounts for roughly 40% of total spending. When even the top pulls back, the aggregate collapses fast.

The Consensus Trap

Here is the pattern that repeats every cycle.

Surface narrative: “Consumer spending is growing 2.6% real. Aggregate payrolls are positive. Net worth is at record highs. The consumer is resilient.”

What is actually happening: Spending is positive but its funding source has shifted from income to credit. The saving rate has collapsed to 3.5%. Credit card delinquencies doubled from their lows, briefly stabilized, then re-accelerated in Q4 2025. Conference Board confidence has plunged to 84.5, the lowest since 2014. The debt service ratio is rising mechanically as variable-rate debt reprices. And the aggregate numbers mask severe bifurcation between wealthy and median consumers.

Consensus gets trapped by three biases.

Aggregation bias. +2.6% PCE can consist of the top quintile at +5% and the bottom at -1%. The average describes an economy that does not exist for most participants.

Lagging bias. Consumer spending is the last domino. By the time PCE contracts, labor has already deteriorated (6-9 months prior), credit stress has built (3-6 months prior), and confidence has collapsed (1-3 months prior). Celebrating “resilient spending” while upstream indicators deteriorate is celebrating a building’s structure while the foundation cracks.

Stock vs flow bias. Net worth at record highs is a stock. The saving rate at 3.5% is a flow. Stocks change slowly. Flows change fast. The depleted saving rate and rising delinquencies are telling you, in real time, that the flow dynamics have already shifted.

Where We Are Now

Applying the framework to current conditions.

The consumer is in Stage 2 of the stress sequence, deeper into it than we assessed even a month ago.

Stage 1 is complete. The excess savings accumulated during COVID (~$2.1 trillion per SF Fed estimates) were fully depleted by Q1 2024. The SF Fed discontinued its savings tracker shortly after. The personal saving rate has fallen to 3.5%, below the 5.5% threshold and now touching the 3.5% “stressed” level that historically precedes spending pullbacks. There is no buffer left.

Stage 2 is accelerating. Credit card delinquencies peaked at ~3.2% in Q2 2024 (highest since 2012) before declining to 3.0% by Q3 2025. The trend appeared to be stabilizing, but the NY Fed’s Q4 2025 Household Debt Report shows aggregate delinquency worsening again to 4.8%, with credit card transitions into serious delinquency ticking higher. Total household debt reached $18.8 trillion. Credit card balances climbed to $1.28 trillion. The improvement was temporary. Revolving credit growing +3.4% YoY. The debt service ratio at 11.3% (above the “stretched” threshold). Credit card APRs averaging 22.3% for those carrying balances. Consumers are borrowing at historically expensive rates to maintain spending. This is inherently unstable.

Stage 3 risk is rising. UMich sentiment has bounced modestly to 57.3 from December’s 53 low, but Conference Board Consumer Confidence collapsed to 84.5 in January, the lowest since May 2014. The Expectations Index at 65.1 is below the 80 threshold that historically signals recession. When consumers feel this pessimistic about the future, spending decisions change. Durables spending is the leading edge. Services will follow if confidence does not recover. December retail sales already came in flat, with the control group at -0.1%. The spending data is starting to confirm what the surveys have been saying.

The Composite:

The CCI stands at -0.39 (Neutral/Fatigued), down from +0.7 in December 2019 (Healthy) and +1.8 in April 2021 (Boom, stimulus-fueled). It has descended steadily for over two years. The composite now includes seven components: spending, savings, retail sales, credit, confidence, income, and debt service, with weights validated against forward PCE outcomes. No single indicator is driving the decline. Multiple inputs are moving in the same direction. This is what Stage 2 looks like from the inside: slow, steady erosion that does not make headlines until it is undeniable.

The Cross-Pillar Connection

The consumer does not exist in isolation. It connects to every other pillar in the framework, usually as the receiving end of transmission chains that started elsewhere.

Consumer to Labor: The reinforcing loop. Spending contracts, revenues fall, companies cut hours then headcount, income drops, spending drops further. Current: aggregate payrolls decelerating (+3.7% nominal, +1.1% real). The Labor Fragility Index (LFI) from our first post remains elevated. If CCI continues to deteriorate alongside elevated LFI, the loop activates.

Consumer to Prices: Consumer weakness is disinflationary. When spending slows, pricing power fades. If consumer spending decelerates further, services inflation (the “last mile”) finally resolves. Consumer weakness may be the catalyst that gives the Fed room to cut. The wildcard: tariff pass-through. Businesses absorbed roughly 80% of tariff costs in 2025, but that absorption is projected to shrink to ~20% later in 2026 as the effective tariff rate has risen from 2.1% to ~11.7%. The consumer may face simultaneous income deceleration and price acceleration. That is not a combination the fuel tank can handle.

Consumer to Growth: PCE is 68% of GDP. If consumer spending decelerates from +2.6% to +1.5%, the PCE contribution to GDP falls by ~0.7 percentage points. The consumer is the margin.

Consumer to Housing: With UMich at 57 and Conference Board at 84.5, there is no catalyst for housing demand recovery. Housing and consumer form a reflexive loop: weak consumers cannot buy homes, and a frozen housing market cannot generate the wealth effect that supports confidence.

Consumer to Financial Conditions: If delinquencies continue rising toward 4.5%, banks tighten lending standards, which reduces credit availability, which further constrains spending. The negative feedback loop that turns cyclical weakness into systemic stress. Not there yet. Watching.

How to Track This Pillar

Real PCE YoY. The 68% anchor. Below +1.5% = stagnation. Below 0% = contraction. (Monthly, BEA)

Personal Saving Rate. The fuel gauge. Below 5.5% = stretched. Below 3.5% = stressed. (Monthly, BEA)

Credit Card Delinquency Rate. The early warning. Above 3.5% = stressed. Above 5.0% = crisis. Leads spending cuts by 3-6 months. (Quarterly, Federal Reserve)

UMich Consumer Sentiment. The confidence pulse. Below 80 = weak. Below 65 = recessionary. (Monthly, UMich)

Retail Sales Control Group. The monthly spending check. Strips autos, gas, building materials. Feeds directly into GDP. (Monthly, Census)

Debt Service Ratio. The payment burden. Above 10% = stretched. Above 13% = stressed. (Quarterly, Federal Reserve)

Aggregate Weekly Payrolls YoY. The income reality. Employment times hours times wages. Below 3% nominal = income stagnation. (Monthly, BLS)

Release schedule: UMich prelim and retail sales (mid-month) for first read. PCE and income data (end of month) to confirm. Credit quarterly for stress signals.

Invalidation Criteria

Every thesis needs an exit door.

Bull Case (Consumer Resilience) Confirmation:

If the following occur simultaneously for 3+ months, the consumer stress thesis is invalidated:

• Personal Saving Rate rises above 6.0% (buffer rebuilding)

• Credit Card Delinquency drops below 2.5% (stress fading)

• Real PCE YoY exceeds 3.0% (acceleration)

• UMich Sentiment exceeds 80 (confidence recovering)

• Real DPI YoY exceeds 2.5% (income growth supporting spending)

• CCI exceeds +0.5 (healthy regime)

Current status: Zero of six conditions met. All six are moving in the wrong direction.

Action if confirmed: Rotate to consumer discretionary, travel/leisure, retail. Consumer strength drives cyclical outperformance.

Bear Case (Consumer Collapse) Confirmation:

If the following occur, the consumer is deteriorating beyond stress into crisis:

• Real PCE YoY turns negative (spending contraction)

• Personal Saving Rate drops below 3.0% (desperation)

• Credit Card Delinquency exceeds 4.5% (credit crisis)

• UMich Sentiment drops below 50 (deep pessimism)

• Retail Sales 3-month average turns negative (demand destruction)

• CCI drops below -1.0 (crisis regime)

Action if confirmed: Maximum defensive. Overweight consumer staples, discount retail, utilities. Avoid all discretionary exposure.

Framework drives positioning, but the framework can be wrong. Data determines outcome.

The Bottom Line

The consumer is not a leading indicator. It is the 68% of GDP that confirms what everything else already said.

When quits collapse (6-9 months before), credit stress builds (3-6 months before), and confidence craters (1-3 months before), the consumer eventually follows. By the time retail sales go negative, the recession is already underway. The consumer does not predict. It validates.

The aggregate numbers still look okay. Real PCE at +2.6%. Aggregate payrolls positive. Net worth at record highs. But aggregates mask the funding source shift from income to credit, the distributional reality where the top quintile carries the headline, and the flow dynamics that have already shifted.

Saving rate at 3.5%. Delinquencies re-accelerating after a brief reprieve. UMich at 57 but Conference Board at 84.5, the lowest since 2014. DSR at 11.3%. CCI at -0.39. The consumer has not cracked. But the cracks are deeper than they were, and they are widening. When the last domino falls, everyone will see what the data said months ago.

This is how we analyze the consumer.

Join The Watch.

Bob Sheehan, CFA, CMT
Founder & CIO, Lighthouse Macro

This is the fourth in a 12-part series on the Lighthouse Macro framework. Next up: Housing and the Frozen Equilibrium.

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By the time the Bureau of Economic Analysis tells you the economy grew 2.3% last quarter, you are looking at data that is 30 days stale, will be revised twice, and averages together components moving in opposite directions. GDP is a lagging indicator that arrives too late to be useful and too aggregated to be true.

The real question is not “what is GDP?” It is “what is GDP about to become?” And that question cannot be answered by headline data. It requires understanding the underlying mechanics of how an economy produces output.

This is why growth sits at the nexus of our framework, not because GDP itself matters, but because growth dynamics determine everything downstream: corporate profits, Fed policy, credit conditions, and asset prices. Get the growth call right, and you have triangulated the policy response. Miss it, and you are trading yesterday’s narrative while tomorrow unfolds.

Note: Due to the Q4 2025 government shutdown, several agency releases (Census, BEA) are operating on a significant lag. All data below reflects the most current official releases as of February 5, 2026.

The Core Insight: The Second Derivative

Here is the conceptual unlock that separates useful analysis from headline-watching.

Growth is not a level. It is a rate of change. And what matters most is the change in that rate of change.

When industrial production decelerates from +3.5% to +1.2%, that is not “still growing.” That is a momentum break. The economy is still in positive territory, but the direction has shifted. Deceleration tells you more than the level.

Why does this work? Because economic decisions are made at the margin. Companies do not wait for GDP to go negative before cutting investment. They sense weakening demand, see order books thinning, feel customers hesitating. Then they freeze hiring, defer capital expenditure, and let inventory accumulate. The hard data catches up later.

The second derivative captures this. When growth is still positive, but the rate of improvement is slowing, something has changed. The momentum that carried the expansion is fading. What follows depends on whether the deceleration stabilizes or accelerates into contraction.

This is not theory. We validated it across every post-war recession. Industrial production typically peaks well before recession (median ~20 months, though highly variable). The deceleration phase (second derivative turning negative) is the early warning that the level decline is coming.

Figure 1: Industrial Production YoY with second derivative shading. Orange bands show periods when momentum is breaking (growth still positive but decelerating).

The chart makes it visible. The shaded regions show recessions. The second derivative (change in growth rate) turns negative before the level does. Every time. The pattern does not fail because the mechanics behind it do not change.

What to Watch and Why

We approach growth analysis through three lenses. Not a checklist, but a framework for organizing the signal from the noise.

Hard data captures what actually happened. Industrial production. Retail sales. Capital goods shipments. Aggregate hours worked. These are not surveys or sentiment. They measure physical output, real transactions, actual labor input. Hard data is slower to release but harder to manipulate. When industrial production contracts, something real is happening.

Soft data captures what decision-makers expect to happen. Purchasing managers’ indices. CEO confidence surveys. Consumer sentiment. Soft data is faster, often released before hard data for the same period. But it can lie. People say one thing and do another. Sentiment can stay elevated while actual production slumps, or collapse while output holds steady. Use soft data to generate hypotheses, hard data to confirm them.

Real-time trackers capture what is happening in real time. Weekly economic indices. Credit card spending. Freight volumes. Electricity consumption. These run circles around the official data in timeliness. Some update daily. The trade-off is noise: week-to-week volatility can obscure the signal. But for nowcasting between official releases, real-time trackers are indispensable.

The discipline is not picking one lens. It is triangulating across all three. When hard data, soft data, and real-time trackers all point the same direction, the signal is high-confidence. When they diverge, that divergence itself is information worth understanding.

The Indicators That Matter

Industrial Production: The Monthly GDP Proxy

Industrial production measures the real output of the manufacturing, mining, and utilities sectors. It is monthly (unlike quarterly GDP), hard data (unlike survey PMIs), and highly correlated with GDP (r = 0.86).

Why it works: IP captures the physical production decisions that flow through to GDP with a lag. When factories cut output, they are responding to weakening orders, rising inventories, or tightening credit. Those same forces will eventually show up in the expenditure-side GDP calculation. But IP shows you earlier.

Figure 2: Industrial Production YoY vs Real GDP YoY. Highly correlated, with IP typically peaking slightly before GDP at cycle turns.

The chart shows the relationship. IP and GDP move together with a correlation of 0.86. At cycle peaks, IP typically turns down slightly before GDP, though the lead time varies. IP is not a perfect proxy for the whole economy, since manufacturing is only 11% of GDP. But manufacturing is cyclical in ways that services are not. When manufacturing contracts, it is usually telling you something about the broader cycle.

Historical validation: Industrial production peaked before all post-war recessions. The median lead time at peaks is around 20-24 months before the recession start, though this varies widely. IP troughs tend to coincide almost exactly with the end of the recession. This is not a pattern that has worked “sometimes.” It has worked every time.

Current reading: IP is running at +2.0% year-over-year as of December 2025, with manufacturing specifically at +2.1%. After contracting for much of 2023-2024, the goods-producing economy has turned positive. But watch the second derivative: the rate of improvement matters as much as the level.

ISM Manufacturing: The Forward-Looking Survey

The Institute for Supply Management surveys purchasing managers at manufacturing firms about new orders, production, employment, supplier deliveries, and inventories. The headline index is a diffusion index: readings above 50 mean more firms reporting expansion than contraction.

Why it works: Purchasing managers are the front line. They see order books before revenue shows up. They sense customer hesitation before it becomes cancellation. The ISM captures this real-time intelligence, releasing on the first business day of each month for the prior month’s data.

Figure 3: Regional Fed Manufacturing Surveys (Empire State, Philly Fed) serve as a proxy for ISM. Above 0 = expansion, similar to ISM above 50. ISM itself (box) is 52.6 as of January 2026.

The key level is 50. Above 50 means expansion. Below 50 means contraction. But context matters. Sustained readings below 48 have historically preceded recession. A single month below 50 can be noise. Six consecutive months below 50 is a different signal entirely.

The sub-indices matter as much as the headline. New Orders leads the composite by 1-2 months. When New Orders minus Inventories goes negative, demand is weaker than supply. That is a forward-looking signal that the headline has yet to reflect.

Current reading: ISM Manufacturing surged to 52.6 in January 2026, the first expansion in 12 months after 10 consecutive months of contraction. Before that, manufacturing managed just two months of expansion following a punishing 26-month contraction streak, the longest since 2000-2002. In total, manufacturing has spent 36 of the last 40 months in contraction territory. New Orders jumped to 57.1. The question now is whether this represents genuine demand recovery or tariff-related front-running. Supporting the front-running thesis: Prices Paid rose to 59.0 while Customers’ Inventories dropped to 38.7 (a “too low” reading). Low customer inventories plus rising prices suggests panic buying ahead of expected tariffs. ISM Chair Susan Spence flagged that some buying may be positioning ahead of expected price increases. Services (ISM Services at 53.8) remain solid. If manufacturing improvement sustains, the two-speed economy narrative inverts.

Core Capital Goods Orders: CEO Confidence in Real Dollars

Durable goods orders are volatile. Aircraft orders spike and crash. Defense contracts are lumpy. The noise obscures the signal.

Core capital goods orders (nondefense, ex-aircraft) strip away that volatility. What remains is business equipment: machinery, computers, transportation equipment. When CEOs commit capital to these items, they are betting on future demand. It is not cheap to build a new production line. They only do it when they expect returns.

Why it works: Capital expenditure decisions are forward commitments. Unlike hiring (which can be reversed with layoffs) or inventory (which can be liquidated), capex represents multi-year bets. When core capital goods orders decline, CEOs are saying they see weakness ahead. They are pulling back on the very investments that would drive future growth. And when orders accelerate, it signals confidence in the outlook.

Figure 4: Core Capital Goods Orders YoY vs Nonresidential Fixed Investment. Orders lead investment by 3-6 months.

Historical validation: Core capital goods orders have led business equipment investment by 3-6 months at every turning point since 2000. The lead relationship held in 2000, 2007, 2014-15, 2018-19, and 2022. Orders peaked in early 2022 at roughly +12% year-over-year, then decelerated through 2023 before stabilizing.

Current reading: Core capital goods orders are running at +5.3% year-over-year as of November 2025, hitting a record $78.2 billion. This is a genuine bright spot. CEOs are committing real capital to equipment investment. The question is whether this confidence survives tariff uncertainty and tightening financial conditions.

Aggregate Hours Worked: The Labor Input to Output

From our labor pillar: before companies lay off workers, they cut hours. Before they cut hours formally, they reduce overtime. Hours are the most reversible lever employers have.

Aggregate hours worked captures the total labor input to the economy: employment times average weekly hours. It is the volume of labor feeding into the production function. GDP cannot grow sustainably if labor input is shrinking, unless productivity surges to offset it. (It usually does not.)

Figure 5: Aggregate Hours Worked YoY. Hours contract before headcount cuts, making this an early warning signal.

Current configuration: Aggregate hours growth has been running below +1% year-over-year through the second half of 2025. Private employment growth has decelerated to roughly +0.5% YoY while average weekly hours remain flat at 34.2. That combination is positive but tepid, well below the 1.5%+ growth rate typical of healthy expansions. Labor input is growing, but barely.

Housing Starts: The Long Lead

Housing operates on a different timescale than most economic indicators. Building permits precede starts by 1-2 months. Starts precede residential investment by 6-9 months. Residential investment feeds into GDP with further lags.

The result: housing starts are one of the longest-leading indicators in the toolkit. They peaked before every recession in the post-war era, often by 18-24 months or more. The 2006 housing peak preceded the December 2007 recession start by 23 months. The median lead time across all post-war recessions is around 32 months. By the time that recession was officially dated, housing had already collapsed 40%.

Figure 6: Housing Starts YoY vs Real GDP YoY. Housing typically peaks 18-24+ months before recession.

Why it works: Housing is rate-sensitive and credit-sensitive. When the Fed tightens, mortgage rates rise. Affordability declines. Buyers pull back. Builders respond by cutting permits and starts. The transmission is mechanical and predictable. Housing is always an early casualty of Fed tightening cycles.

Current reading: Housing starts peaked at 1.8 million (annualized) in April 2022. They are now at 1.25 million (October 2025, the final release before the shutdown-induced reporting freeze). That is down -7.8% year-over-year on a single-month basis, or -6.3% on a smoothed 3-month average as shown in the chart. Housing has been weak for over 30 months.

The Consensus Trap

Here is the pattern that repeats every cycle.

Surface narrative: “GDP is growing 2.3%. Manufacturing is recovering. Capex is at record levels. Soft landing achieved.”

What is actually happening: The headline improvement is real but uneven. The January ISM surge may reflect tariff-related front-running rather than organic demand. Capex is strong, but labor input growth is tepid and housing is in recession. Services and government are doing the heavy lifting. Inventory dynamics can flip from tailwind to headwind quickly.

Consensus gets trapped by three biases.

Aggregation bias. GDP combines components moving in opposite directions into a single number. A reading of +2.3% can mask housing at -5% and services at +3.5%. The average tells you nothing about the underlying dynamics. The economy can be “fine” in aggregate while critical sectors are already in recession.

Lag bias. GDP is released 30 days after the quarter ends. By the time you see Q4 GDP in late January, you are six weeks into Q1. Meanwhile, monthly indicators (IP, retail sales, PMIs) have already shown you what January looks like. Trading GDP data means trading stale information.

Level bias. Positive GDP growth sounds reassuring. But the level matters less than the trajectory. A single month of ISM expansion after nearly three years of mostly contraction is not “recovery.” It is a data point that needs confirmation. One month does not make a trend. Three months starts to.

The “headline looks fine, composition is uneven” trap catches consensus every cycle because humans anchor to single numbers. The nuance requires more work.

Where We Are Now

Applying the framework to current conditions.

The headline metrics look solid. Real GDP is running at +2.3% year-over-year. The Atlanta Fed GDPNow is tracking Q4 2025 at 4.2% SAAR. At the aggregate level, the expansion is accelerating.

The recent data shows improvement, but with important context.

Manufacturing just snapped back. ISM Manufacturing surged to 52.6 in January 2026, the first expansion reading in 12 months. Before that, manufacturing managed only a brief two-month expansion interrupting what has been a brutal stretch: 36 of the last 40 months spent in contraction. New Orders jumped to 57.1. Industrial production is running at +2.0% year-over-year, with manufacturing specifically at +2.1%. The manufacturing recession appears to be ending.

But context matters. ISM Chair Susan Spence noted that January is a seasonal reorder month after holidays, and some buying appears to be front-running expected price increases from tariff uncertainty. Whether this reflects genuine demand recovery or inventory positioning ahead of trade policy changes remains to be seen. One month does not make a trend. We need 3+ months of expansion to confirm the turn.

Business investment is a bright spot. Core capital goods orders are running at +5.3% year-over-year, hitting a record $78.2 billion in November 2025. CEOs are committing real capital. Watch whether this confidence holds through tariff uncertainty or whether January’s ISM improvement feeds through to even stronger equipment orders in the coming months.

Labor input is growing slowly. Private employment growth has decelerated to roughly +0.5% YoY with flat average weekly hours, putting aggregate hours growth below +1%. That is well below the 1.5%+ pace typical of healthy expansions. Growth is positive but tepid.

Housing remains weak. Starts are down -7.8% year-over-year (October data, latest available due to Census release delays), down from the April 2022 peak. Residential investment has been contracting for over two years.

What is supporting growth?

Services (ISM Services at 53.8) remain in expansion. Services are 80% of the economy. As long as services hold, the headline stays positive.

Figure 7: Goods vs Services Consumption YoY. Goods turn first at cycle turns; services follow.

Consumers (real retail sales +0.4% year-over-year) are hanging on. Barely. That +0.4% is the difference between nominal sales growth and inflation. Consumers are spending more dollars to buy roughly the same amount of stuff.

Figure 8: Real Retail Sales YoY. Adjusting for inflation, consumer spending is barely positive.

Government spending is additive. Fiscal policy remains expansionary, supporting headline GDP.

Figure 9: GDP Component Contributions (YoY). PCE (+1.8 pp) drives growth. Net exports (+0.5 pp) added modestly.

The chart shows YoY contributions to GDP growth (total: +2.4 pp). PCE added +1.8 percentage points. Net exports contributed +0.5 pp. Government added +0.2 pp. GPDI was flat (-0.0 pp). Note: This reflects Q3 2025 data. The Q4 2025 Advance Estimate has been delayed until February 20 due to the government shutdown, making monthly trackers like the GCI even more critical for nowcasting.

Where does our composite stand? The Growth Composite Index (GCI) is hovering near neutral territory. The January ISM surge, if sustained, would push GCI into modest expansion. But one month of manufacturing improvement after nearly three years of mostly contraction does not erase the structural challenges in housing and labor input. Confirmation is required.

Figure 10: The Growth Composite Index (GCI) with regime bands. Synthesizes IP, capex orders, hours, housing, and retail into one indicator.

The Cross-Pillar Connection

Growth does not exist in isolation. It connects to every other pillar in our framework.

Growth to Labor: When output contracts, labor demand follows. IP contracting and hours shrinking precede payroll declines by 2-4 months. Current configuration: IP is positive at +2.0%, and aggregate hours growth is positive but tepid, running below +1% YoY.

Growth to Prices: When growth slows, the output gap widens. Slack builds. Pricing power fades. Capacity utilization at 76.3% (below the ~80% long-run average) signals slack in the system. Goods prices remain subdued relative to services. If the manufacturing recovery fades, pricing pressure on the goods side weakens further.

Growth to Credit: When growth weakens, revenues decline, earnings miss, and credit quality deteriorates. Spreads should widen to reflect higher default risk. Current paradox: growth is mixed but high-yield spreads remain tight. Credit is pricing a continuation of expansion. If the manufacturing improvement is real and capex holds, credit may be right. If either fades, spreads are too tight.

Growth to Fed Policy: When growth slows, the Fed should cut. But the Fed is constrained by elevated inflation. Rate cuts are delayed even as parts of the economy soften. The transmission mechanism is impaired.

The cross-pillar signals paint a nuanced picture. The bright spots are real: manufacturing inflecting, capex at record levels, IP positive. But labor fragility (LFI +0.93) and thin liquidity (LCI -0.8) remain elevated. The question is whether the positive momentum in production and investment is enough to stabilize the labor and housing weakness, or whether those drags eventually pull the expansion apart. History says that tension resolves one way or the other within 6-12 months.

How to Track This Pillar

Industrial Production YoY. The monthly GDP proxy. Released mid-month (~15th) for the prior month. Contraction below -1% signals manufacturing recession.

ISM Manufacturing PMI. The forward-looking survey. Released 1st business day of each month. Watch the 50 level and the New Orders minus Inventories spread. (Source: ISM, first business day)

Core Capital Goods Orders YoY. CEO confidence in real dollars. Released ~26th of month. Contraction below -5% signals capex collapse.

Aggregate Hours Worked YoY. Labor input to output. Released with employment situation (~first Friday). Contraction below 0% signals labor input shrinking.

Housing Starts YoY. The long lead. Released ~17th of month. Contraction below -10% confirms housing recession.

GDPNow. Real-time GDP tracking from the Atlanta Fed. Updates with each major data release. Compare to consensus to gauge whether data is surprising up or down. (atlantafed.org/cqer/research/gdpnow)

Release schedule strategy: Use early-month data (ISM on the 1st) to set expectations. Use mid-month data (IP, housing on the 15th-17th) to refine. Use late-month data (capex, GDP on the 26th-30th) to confirm.

Invalidation Criteria

Every thesis needs an exit door.

Bull Case (Growth Reaccelerating) Invalidation:

If the following occur simultaneously for 3+ months, the contraction risk thesis is wrong:

• Industrial Production YoY sustains above +2%

• ISM Manufacturing exceeds 52 (expansion confirmed)

• Core Capital Goods Orders YoY sustains above +5%

• Aggregate Hours YoY exceeds +1.5% (labor input expanding)

• Housing Starts YoY turns positive (+5%+)

• GCI exceeds +0.3 (neutral regime)

Action if invalidated: Rotate from defensive to cyclical. Increase equity allocation to 60-65%. Add exposure to industrials, materials, discretionary.

Note: As of today, IP, ISM, and capex are already meeting or approaching these thresholds. The key missing pieces are housing and labor input. If those follow, the expansion is broadening and the bull case is intact. We are watching.

Bear Case (Full Recession) Confirmation:

If the following occur, growth weakness is accelerating beyond contraction risk into recession:

• Real GDP turns negative for 2 consecutive quarters

• Industrial Production YoY exceeds -2% (severe contraction)

• ISM Manufacturing drops below 45 (deep contraction)

• Payrolls 3-month average turns negative (job losses)

• GCI drops below -1.0 (recession regime confirmed)

Action if confirmed: Maximum defensive posture. Reduce equity to 30-40%. Overweight bonds, gold, cash. Avoid all cyclical exposure.

Framework drives positioning, but the framework can be wrong. Data determines outcome.

The Bottom Line

Growth is not GDP. It is the velocity of economic metabolism. The speed at which the system converts inputs (labor, capital, innovation) into outputs (goods, services, income).

After spending 36 of the last 40 months in contraction, ISM Manufacturing just surged to 52.6 with New Orders at 57.1. Industrial production is positive at +2.0% YoY. Core capital goods orders are at a record +5.3% YoY. The goods-producing economy may be inflecting.

But skepticism is still warranted on the durability:

• The ISM surge may reflect tariff front-running rather than genuine demand recovery

• Labor input growth is tepid (aggregate hours below +1% YoY, well under the 1.5%+ expansion norm)

• Housing is still in recession (starts down 31% from peak)

• The manufacturing improvement is one month old after nearly three years of mostly contraction

The key insight remains: the second derivative matters more than the level. One month of improvement does not make a trend. We need 3+ consecutive months of expansion to confirm manufacturing has turned. Watch whether January’s ISM surge sustains into February and March, or fades as tariff-related distortions work through.

The data is improving. Some of it meaningfully so. The sustainability is unproven. Framework drives positioning, not headlines.

This is how we analyze growth.

Join The Watch.

Bob Sheehan, CFA, CMT

Founder & CIO, Lighthouse Macro

This is the third in a 12-part series on the Lighthouse Macro framework. Next up: Pillar 4 (Housing) and the Wealth Effect Transmission.

MACRO, ILLUMINATED.

GDP can disappoint and the Fed shrugs. Employment can soften and they wait for confirmation. But if inflation stays elevated, the Fed stays restrictive. There is no discretion here. Inflation is the only macro variable that directly controls the policy rate, and the policy rate controls everything else.

The transmission chain runs in one direction:

Prices → Fed Policy → Real Rates → Financial Conditions → Asset Prices → Growth → Employment

Get the inflation call right, and you’ve triangulated the Fed’s reaction function. Miss it, and you’re trading narratives about “transitory” nonsense while the Fed tells you exactly what it’s going to do.

This is why prices sit at the center of the monetary transmission mechanism. Not because inflation is one indicator among many, but because it is the binding constraint. Understanding inflation composition means understanding what the Fed can and cannot do.

The Core Insight: Composition Over Level

Here is the conceptual unlock that separates useful analysis from headline-watching.

Inflation data splits into three fundamentally different economies, each with different drivers, different transmission speeds, and different implications for policy.

Goods are globally traded, supply-chain responsive, and volatile. When goods inflate, it’s fast. When they deflate, it’s fast. Goods inflation is the shock absorber of the CPI basket.

Services are locally produced, wage-driven, and structurally sticky. You can’t offshore a haircut. Labor costs are 60-70% of service sector expenses, and wages don’t deflate without unemployment rising substantially. Services inflation is the structural floor.

Shelter is the lagging anchor. Measured via lease renewals and owners’ equivalent rent, it represents 34% of the CPI basket but operates on a 12-18 month lag relative to market conditions. It distorts the headline in both directions.

Why does this matter? Because a headline reading of 2.7% tells you nothing about the underlying regime. A uniform 2.7% is structurally different from +1.4% goods + 3.0% services averaging to 2.7%. The first is symmetric disinflation. The second is bifurcation with a structural wage floor preventing the last mile. Fed policy responds to composition, not averages.

The pattern repeats across every cycle since 1980: goods are the shock absorber, services are the structural floor, shelter is the lagging confirmation. In 2008, goods deflated violently while services stayed positive until unemployment hit 10%. In 2021-2023, goods peaked 13 months before services. Composition tells you where you’re going. The headline tells you where you’ve been.

What to Watch and Why

We approach inflation analysis through three lenses.

Leading indicators move first. Producer prices signal what manufacturers are paying before those costs reach consumers. Market rents signal where CPI shelter will be 12 months from today. The dollar signals where goods prices are heading.

Persistence indicators reveal whether inflation pressure is broad-based or concentrated. The Atlanta Fed’s sticky CPI separates components that change infrequently from those that change rapidly. The Dallas Fed’s trimmed mean strips the most extreme price changes to reveal the underlying trend.

Confirming indicators validate what the leading data suggested. Core PCE is the Fed’s actual target. Services ex-shelter (supercore) is the wage-driven core the Fed watches most closely.

The transmission speed hierarchy matters: goods respond in months, services adjust over quarters, shelter takes over a year. That lag between “goods are fixed” and “services are still stuck” is where consensus gets trapped every cycle.

Direction changes often matter more than levels. The 3-month annualized rate compared to the 12-month rate reveals momentum. When 3M runs below 12M, the trend is improving. When it runs above, pressure is building. Watch the slope, not just the spot.

The Indicators That Matter

The Gap That Matters: CPI vs Core PCE

The Fed doesn’t target CPI. It targets Core PCE. This distinction is not academic. It’s mechanical.

CPI uses fixed weights based on what people bought last year. PCE uses chain-weighted spending based on what people are buying now. PCE also captures a broader set of expenditures, including employer-provided healthcare. The practical result: PCE tends to run 0.3-0.5 percentage points below CPI because it accounts for substitution effects. When beef gets expensive, people buy chicken. CPI misses that behavioral shift. PCE captures it.

Shelter is 34% of CPI but only 18% of PCE. This weight difference means CPI overstates the shelter problem relative to what the Fed actually watches. When shelter normalizes, CPI will drop faster than PCE, and the gap between “headline victory” and “Fed reality” will temporarily widen. Track Core PCE if you want to know what the Fed is thinking.

Figure 2: Headline CPI vs. Core PCE. The Fed watches Core PCE, and it’s still meaningfully above target.

The Great Divergence: Goods vs Services

Goods inflation is volatile and self-correcting. Services inflation is sticky and persistent. This divergence defines the current phase of the cycle.

Why goods self-correct: globally integrated markets with elastic supply. When demand fades, inventory clears, supply chains heal, the dollar compresses import prices. Why services persist: local markets with inelastic supply. The primary input is labor, and labor costs don’t adjust downward without unemployment rising.

The 2021-2023 episode confirmed this. The Global Supply Chain Pressure Index normalized by mid-2022, yet core inflation persisted through 2023. If supply disruptions were the root cause, inflation would have collapsed when supply healed. It didn’t. Demand was doing the heavy lifting.

The goods-services spread tracks the cycle. When goods deflate while services stay elevated, headline improvement masks structural stickiness. Does convergence happen through goods re-inflating (tariffs, dollar weakness) or services decelerating (labor cracking)? That distinction is the call.

Figure 1: Core goods CPI vs. core services CPI. The divergence is the defining feature of the current inflation regime.

The Shelter Lag Trap

Shelter is 34% of the CPI basket. And it operates on a mechanical lag that distorts the headline in both directions.

The BLS measures shelter through surveys of existing leases, not new leases. When market rents spike, it takes 12-18 months for those increases to flow through the lease renewal cycle into CPI. We tested the lag against every turning point since 2015. Average: 12.7 months. The pattern is mechanical and predictable.

The trap: even after shelter normalizes, services ex-shelter remains sticky. Shelter was masking the problem, not causing it. When shelter cooperates, supercore becomes the binding constraint. And supercore is where the wage floor lives.

Figure 3: Shelter CPI, Rent of Primary Residence, and Owners’ Equivalent Rent. All three declining but remain above target.

Sticky vs Flexible: The Persistence Signal

The Atlanta Fed decomposes CPI into two categories. Flexible CPI includes items that change frequently: gasoline, food, airfares. Sticky CPI includes items that change infrequently: rent, insurance, medical care, education. These embed expectations and wage costs.

Sticky CPI is the best available predictor of future core inflation, with more than twice the predictive power of flexible CPI over a six-month horizon. What happens in flexible prices today flows into sticky prices roughly 12 months later.

Historically, sticky CPI has never broken below 3.0% without a recession. That threshold is the structural marker. Until it moves decisively lower, the last mile remains incomplete.

Figure 4: Sticky CPI vs. Flexible CPI (shifted 12 months). Flexible inflation leads sticky by roughly 12 months.

The Pipeline: PPI Leads CPI

Producer prices are the upstream signal. What manufacturers and service providers pay eventually passes through to consumers. PPI leads CPI by 3-6 months. When producers face cost increases, they absorb what they can, then pass the rest through. The lag reflects the adjustment process: inventory drawdowns, contract renegotiations, menu cost frictions.

The PPI-CPI spread is the directional signal. When PPI runs below CPI, producers are absorbing cost declines that haven’t yet reached consumers. That’s disinflationary pressure building in the pipeline. When PPI runs above CPI, inflationary pressure is coming. The spread tells you what’s in the pipe before it hits the consumer.

Figure 5: PPI Final Demand vs. CPI. Producer prices lead consumer prices by 3-6 months.

Inflation Expectations: The Anchoring Test

If businesses and consumers expect inflation to remain elevated, they price accordingly. The Fed’s credibility depends on keeping expectations anchored at 2%.

5Y5Y Forward captures the bond market’s view of where inflation will be 5-10 years from now. When it’s near 2.0%, the market trusts the Fed. Above 2.5%, trust is eroding. Above 3.0%, the Fed has lost the anchor.

UMich 1Y Expectations captures what households feel. Consumers don’t watch Core PCE. They watch grocery bills and insurance premiums. Consumer expectations can stay elevated even when professional expectations are calm. That gap reveals the bifurcation in lived experience.

Figure 6: The 5-Year, 5-Year Forward Inflation Rate vs. University of Michigan 1-Year Consumer Expectations.

The Signal Beneath the Noise: Trimmed Mean

Standard inflation measures get distorted by outliers. Motor vehicle insurance surging 14%+ tells you nothing about the underlying trend, but because it’s roughly 3% of CPI, it contributes about 0.4 percentage points to headline.

The Dallas Fed Trimmed Mean PCE strips the most extreme price changes each month to reveal what’s actually happening underneath. It produces meaningfully lower forecast errors than headline CPI at predicting core PCE twelve months forward.

When the trimmed mean and sticky CPI agree, the signal is high-confidence. Track both. Trust the convergence.

Figure 7: Dallas Fed Trimmed Mean PCE vs. Core PCE. The trimmed mean strips outlier noise and confirms the underlying trend.

The Spiral Check: Wages and Unit Labor Costs

The wage-price spiral is the inflation scenario that keeps central bankers awake. Workers demand higher wages because prices are rising. Businesses raise prices to cover higher labor costs. Repeat.

The Employment Cost Index is the gold standard for measuring labor cost pressure because it controls for compositional shifts. Average Hourly Earnings can fall just because the economy is adding more low-wage jobs. That looks like wage disinflation but it’s actually mix shift. ECI holds the job mix constant. If ECI is elevated, wage pressure is real.

Unit labor costs equal compensation growth minus productivity growth. At 3.5% compensation and 1.5% productivity, ULC runs at roughly 2.0%. That’s consistent with services inflation in the 2.5-3.0% range. Not crisis. Not target. Stuck.

The Phillips curve, dormant through the 2010s, has reasserted. At current unemployment near 4.4%, it suggests services inflation consistent with 3-4%, not 2%. For services inflation to reach 2%, unemployment likely needs to rise toward 4.5-5.0%. This is the narrow path the Fed is attempting to navigate.

From our labor framework (Pillar 1): the Labor Fragility Index is elevated and quits have fallen to the 2.0% threshold. If labor continues to soften, wage growth will decelerate, and that flows into services inflation with a 6-9 month lag. The pillars are connected through the wage channel.

Figure 8: ECI Total Compensation vs. Core PCE. Wages above inflation means positive real wages but sticky services.

The Dollar Channel

The trade-weighted dollar is the mechanism behind goods price suppression. Dollar strength flows directly into goods prices with a 9-18 month lag. A 10% appreciation typically results in 1.0-1.5 percentage points of reduction in goods CPI.

The implication cuts both ways. If the dollar weakens in a rate-cutting cycle, goods inflation reaccelerates. The Fed’s own easing could reignite goods inflation, constraining how aggressively they can cut. There’s also a tariff channel: a broad 10% tariff could add 0.3-0.5 percentage points to headline CPI over 6-12 months.

Figure 9: Trade-weighted dollar (inverted) vs. Core Goods CPI, shifted 18 months to show the lead relationship.

The Prices Composite Index

We synthesize the key inflation signals into a composite we call the Prices Composite Index (PCI). The purpose is regime classification: is the inflation environment one where the Fed has flexibility, or one where the Fed is constrained?

The PCI combines six components, each measured against a Fed-consistent target level:

• Core PCE momentum (3-month annualized): The Fed’s primary target, highest weight

• Services inflation trend: Wage-driven persistence

• Shelter trajectory: Largest single CPI component, lagging but mechanical

• Sticky price persistence: Atlanta Fed decomposition, predicts future core

• Expectations anchoring (5Y5Y forward): The credibility gauge

• Goods price level: Disinflationary force when negative

PCI above +0.5 means the Fed is constrained. PCI above +1.0 means no cuts possible. When multiple inflation indicators remain elevated simultaneously, the composite stays in restrictive territory, and the Fed stays boxed in.

Figure 10: The Prices Composite Index (PCI). Regime bands show the inflation environment.

The Consensus Trap

Here is the pattern that repeats every cycle.

Surface narrative: “Inflation is beaten. Headline CPI has fallen from 9.1% to 2.7%. Soft landing achieved.”

What’s actually happening: Goods have normalized and are no longer pulling headline lower. Services remain elevated with a wage floor intact. Sticky CPI sits at 1.5x the target. The easy disinflation is done.

Consensus gets trapped by three biases.

Recency bias. Inflation fell from 9.1% to 2.7% in roughly two years. Extrapolating that pace suggests sub-2% soon. But the disinflation was driven almost entirely by goods reversal and energy normalization. Those forces are spent. The remaining improvement has to come from services, and services don’t deflate without labor market deterioration.

Headline focus. Media covers headline CPI. Markets trade headline CPI. The Fed watches core PCE. When headline and core diverge, consensus misses the Fed’s constraint.

Lag misunderstanding. As shelter continues to normalize, headline will improve. But the market will shift to watching services ex-shelter, which remains elevated. The goal post moves. When shelter finally cooperates, supercore becomes the binding constraint.

Where We Are Now

The surface metrics look constructive. Headline CPI at 2.7%, down from the 9.1% peak. Core goods at +1.4%, near flat. Core PCE 3-month annualized at 2.3%, trending in the right direction.

The persistence indicators tell a different story. Core PCE at 2.8%, still 40% above target. Sticky CPI at 3.0%, right at the threshold that historically requires recession to break. Trimmed Mean PCE at 2.5%, converging but still above target. ECI at 3.6%.

The pipeline has flipped. PPI at 3.0% now runs above CPI at 2.7%, suggesting inflationary pressure still in the pipe. Expectations remain bifurcated: 5Y5Y forward at 2.19% (well-anchored) while consumer expectations stay elevated.

The PCI currently sits in the Elevated regime. Shelter is unwinding. Goods have normalized. But services ex-shelter, sticky CPI, and wages remain elevated enough to keep the composite above the +0.5 threshold.

The headline may approach 2% eventually. The question is whether it gets there through genuine services moderation or through demand destruction.

How to Track This Pillar

Core PCE YoY. The Fed’s actual target. Sustained move below 2.5% signals the last mile is breaking. (Monthly, BEA, FRED: PCEPILFE)

Trimmed Mean PCE 12M. The cleanest trend signal. Convergence toward 2% confirms broad-based disinflation. (Monthly, Dallas Fed, FRED: PCETRIM12M159SFRBDAL)

Sticky CPI. The persistence gauge. Break below 3.0% historically requires recession. (Monthly, Atlanta Fed, FRED: CORESTICKM159SFRBATL)

Shelter CPI. The lagging anchor, 34% of headline. Compare to Zillow/Apartment List for the 12-month forward signal. (Monthly, BLS, FRED: CUSR0000SAH1)

PPI Final Demand. The upstream pipeline signal. PPI above CPI means pressure is coming. (Monthly, BLS, FRED: PPIFIS)

5Y5Y Forward Inflation. The expectations anchor. Above 2.5% is caution. Above 3.0% is alarm. (Daily, FRED: T5YIFR)

ECI Total Compensation. The gold standard wage measure. Deceleration below 3.0% is consistent with 2% inflation. (Quarterly, BLS, FRED: ECIALLCIV)

Release schedule: CPI mid-month (~13th), PCE end-of-month (~30th), PPI mid-month (typically one day before CPI). Use CPI for real-time signals, PCE for the Fed’s reaction function.

Invalidation Criteria

Every thesis needs an exit door.

Bull Case: If any three of the following trigger for three consecutive months, the elevated inflation regime ends:

• Core PCE 3M annualized drops below 2.5%

• Services ex-shelter drops below 3.0%

• Sticky CPI drops below 3.0%

• 5Y5Y forward drops below 2.3%

• PCI drops below +0.5

Bear Case: If any two of the following trigger, inflation is reaccelerating:

• Core PCE 3M annualized exceeds 4.0%

• Goods CPI accelerates above 3.0%

• 5Y5Y forward exceeds 2.75%

• Services ex-shelter exceeds 4.5%

Framework drives positioning, but the framework can be wrong. Data determines outcome.

The Bottom Line

Inflation is not a number. It is a regime. And the regime has changed.

Pre-pandemic, 2.0% PCE was the equilibrium. That world required globalization tailwinds, subdued wages, and fiscal austerity. All three have reversed. Five structural forces, deglobalization, energy transition, demographics, housing underbuilding, and fiscal deficits, suggest a floor of 2.5-3.0%.

Watch composition, not the headline. Track the PCI regime bands. When PCI is above +0.5, the Fed is constrained. When sticky CPI is at or above 3.0%, the persistence problem hasn’t been solved. When services ex-shelter stays above 3.0%, the last mile is incomplete.

This is how we analyze inflation.

Bob Sheehan, CFA, CMT

Founder & CIO, Lighthouse Macro

This is the second in a 12-part series on the Lighthouse Macro framework. Next up: Pillar 3 (Growth) and the Second Derivative.

People make things, build things, produce things. It is the literal foundation on which everything else rests.

When we talk about economic cycles, we are really talking about labor cycles dressed up in different clothes. The transmission chain runs in one direction: employment leads to income, income enables spending, spending generates revenue, revenue justifies credit, credit supports housing, and housing anchors household wealth. Change the labor picture, and everything downstream changes with it.

If the engine sputters, the car eventually stops. It does not matter how much gas is in the tank or how smooth the road is. Mechanics dictate outcome.

This is why labor sits at the center of our framework. Not because it is one indicator among many, but because it is the source code. Understanding labor means understanding the economy.

The Core Insight: Flows vs. Stocks

Here is the conceptual unlock that separates useful analysis from headline-watching.

Labor data splits into two categories: flows and stocks. The distinction matters more than almost anything else we will discuss.

Stocks measure the cumulative result of past decisions. The unemployment rate. Total payrolls. These are the numbers you see in headlines, the figures politicians cite, the data points that anchor consensus narratives. They tell you where the labor market has been.

Flows measure what is happening at the margin right now. How many people are quitting their jobs. How many are being hired. How temp agencies are adjusting their staffing. Flows tell you where the labor market is going.

Why do flows lead stocks? Because decisions happen before outcomes.

When employers sense trouble on the horizon, they do not fire workers immediately. They freeze hiring. They let headcount decline through attrition. They stop bringing on temps. The actual layoffs come later, sometimes much later, because firing people is expensive, disruptive, and hard to reverse. Companies remember 2021 and 2022 when they could not find workers at any price. That scar tissue makes them hoard labor longer than they probably should.

The same dynamic operates on the worker side. When employees sense the labor market tightening, they do not wait to get laid off. They stop quitting. They hold onto the job they have rather than chasing a better one. The quits rate is the economy’s truth serum. It strips away narrative and exposes what workers actually believe about their options. And workers sense the shift before management admits it.

The early signals show up in flows. The headlines focus on stocks. That gap is where consensus gets caught.

This chart makes the relationship visible. The quits rate turns down six to nine months before unemployment turns up. The pattern has held across every recession since JOLTS data began in 2000. When workers stop quitting, unemployment eventually rises. The lag is predictable. The sequence does not fail.

What to Watch and Why

We approach labor analysis through four lenses. Not a checklist, but a mental model.

Leading indicators move first. They are the canaries. These capture decisions being made today that will show up in headline data months from now. When companies stop hiring temps, when workers stop quitting, when the hiring rate begins to slide even as unemployment stays low, these shifts register in real time. Their implications will not become obvious until the lagging data catches up.

Breadth indicators reveal whether weakness is localized or spreading. A single sector struggling is not necessarily alarming. But when stress starts showing up across multiple states, across different industries, across both manufacturing and services, that is a different signal entirely. Breadth is how you distinguish between noise and regime change.

Confirming indicators validate what the leading data suggested. When unemployment starts rising, it is not telling you something new. It is confirming what the flows already showed months earlier. But that confirmation matters because it eliminates the possibility that the early warnings were false positives.

Direction changes often matter more than levels. This is counterintuitive but critical. An indicator’s turn can be leading even when its level is lagging. The unemployment rate is the classic example. It is called a “lagging indicator” because its level peaks after recession ends. But its trough, the point where it stops falling and starts rising, actually precedes recession by several months. Watch the turn, not just the level.

We have validated these relationships against every post-war recession. They hold. The lag times vary, but the sequence does not.

The Indicators That Matter

The key signals, what they measure, and why they work.

The Quits Rate measures voluntary separations as a percentage of total employment. When a worker quits, they are making a statement: “I believe I can find something better.” This is a real-time confidence barometer. Unlike surveys that ask people how they feel, the quits rate captures what they actually do.

The quits rate is arguably the single most important flow indicator in labor market analysis. Workers have asymmetric information about their own situations. They sense weakness in their company, their industry, their local market before it shows up in aggregate data. When they stop quitting, they are telling us something management has not admitted yet.

Historical validation: The quits rate has declined from cycle peak before all three post-2000 recessions with lead times of 6-9 months. Current reading sits at 2.0%, down from a peak of 3.0% in April 2022. That is a one-third decline from cycle high. Workers have already adjusted their behavior.

Temporary Help Services employment measures workers employed through temporary staffing agencies. This is the canary in the coal mine with an exceptional track record.

Why it works: Temp workers are the adjustment valve for corporate labor demand. When companies sense softening demand, they do not immediately fire permanent employees. That is expensive, disruptive, hard to reverse. They stop renewing temp contracts. Temp help is the first to go and the first to come back.

Historical validation: Temp help employment YoY has gone negative before all three post-2000 recessions with lead times ranging from 1 to 12 months. Current reading shows YoY contraction of approximately 3-4%, persisting for over two years.

A caveat worth addressing directly: recent academic research (Tito and Bowdle, 2024) found that pandemic-era labor shortages boosted temp demand by 25-85%, and the subsequent easing reduced temp employment by 5-20%. That is a meaningful distortion. But even after accounting for pandemic-era overshoot, the contraction exceeds what normalization alone would explain. Since March 2022, temp employment has fallen by 577,000 jobs (18.1%), the largest decline outside a recession in the indicator’s modern history. The signal may be noisier than pre-2020, but it has not lost its directional value. We weight it accordingly: lower than before, but still part of the mosaic.

The Hiring Rate shows new hiring as a percentage of employment. When paired with the layoffs rate, it reveals the “hiring freeze without firing wave” phenomenon that characterizes late-cycle labor markets.

Current configuration: The hires rate sits at 3.2-3.3%, down from 4.5% at the 2022 peak. The layoffs rate remains at 1.0-1.1%, historically low. Companies are not yet cutting workers because they remember how hard it was to hire in 2021-2022. But they have stopped adding headcount. The labor market is frozen, waiting for the break.

This can persist for extended periods, but history says when it breaks, it tends to break toward layoffs rather than renewed hiring.

Aggregate Hours Worked captures something payrolls miss entirely. Before companies lay off workers, they reduce hours. Before they reduce hours on paper, they cut overtime. This is the most reversible lever employers have, and reversible levers get pulled first.

The chart shows aggregate hours (YoY) plotted against employment (YoY). Hours consistently turn down before employment at cycle inflection points. The logic is straightforward: cutting hours costs nothing. Cutting workers costs severance, institutional knowledge, and the risk that you cannot rehire when conditions improve. So hours absorb the initial shock. When hours decline while employment holds steady, that divergence is a warning. The economy is weakening at the intensive margin (fewer hours per worker) before it weakens at the extensive margin (fewer workers).

Current configuration: aggregate hours growth has decelerated sharply from post-pandemic highs and is now oscillating near zero. Employment growth has followed the same trajectory but with a lag. The pattern is consistent with prior late-cycle behavior.

State Labor Market Diffusion measures the percentage of state-level labor markets experiencing rising unemployment over a three-month window. It captures geographic breadth of weakness.

Why it works: A single state struggling is not necessarily alarming. That could be idiosyncratic. But when weakness spreads across geographies, it reveals systemic stress. In recessions, this measure approaches 100%. Everyone hurts simultaneously.

Historical validation: State diffusion sustained above 50% has preceded every recession in the dataset with lead times of 2-14 months. Current reading hovers around 47-52%, oscillating near the majority threshold. Weakness is not universal, but it is not localized either.

The Job-Hopper Wage Premium is a microstructure signal most people miss. Throughout history, workers who switch jobs earn higher wage gains than those who stay put. That makes intuitive sense. You quit your current job when you have a better offer somewhere else. The premium varies with the cycle, widening when labor markets are tight and workers have options, narrowing when conditions deteriorate and staying put becomes the safer play.

What most people miss is that this premium can actually reverse. When job-switchers start earning less than job-stayers, something unusual is happening. Workers are taking new positions out of necessity rather than opportunity. They are moving laterally or even down, accepting whatever is available because their current situation became untenable.

Historical pattern: The premium collapsed to near zero around every recession since the Atlanta Fed Wage Growth Tracker began. Current reading sits at 0.1-0.2 percentage points, down from over 2 percentage points in 2021-2022. The grass is no longer greener. Workers know something.

Long-Term Unemployed Share measures the percentage of unemployed workers who have been jobless for 27 weeks or more. This is a lagging indicator by level but a confirming indicator by direction.

Why it matters: Long-duration unemployment has permanent effects. Skills atrophy. Networks fade. Employer bias against long gaps is real. Once someone crosses the six-month threshold, their probability of finding work drops significantly. Rising long-term share is early structural damage, the kind that leaves scars.

The turn in this indicator actually leads recessions by 3-13 months even though long-term unemployment peaks after recession ends. Current reading sits at 24-26%, up from cycle lows around 17-18%. More than one in four unemployed workers has been looking for over six months. That is meaningful deterioration even as the headline unemployment rate stays manageable.

The Consensus Trap

Here is the pattern that repeats every cycle.

The economy is late in an expansion. Headlines say “strong labor market” because unemployment is low and payrolls are still positive. Analysts point to the unemployment rate and conclude there is nothing to worry about. Markets price accordingly.

Meanwhile, under the surface, the flows are deteriorating. Temp help is contracting. The quits rate has fallen materially from its cycle highs. Hiring has slowed even as layoffs remain subdued. Duration of unemployment is extending for those who do lose jobs. Weakness is starting to spread geographically.

But because the stocks look fine, consensus dismisses the warning signs. “The labor market remains resilient” becomes the mantra. And it stays the mantra right up until the lagging indicators finally catch up and everyone collectively discovers what the leading indicators showed months earlier.

We call this the “stocks look fine, flows are deteriorating” trap. It catches consensus every cycle because humans anchor to what they can see in headlines. The flows require more work to track, more nuance to interpret. Most people do not do that work.

By the time unemployment is rising and payrolls are contracting, the information is already fully priced. The edge exists earlier, in the gap between leading and lagging.

Where We Are Now

Applying the framework to current conditions.

The surface metrics look unremarkable. Unemployment sits at 4.4%. Payrolls remain positive, adding 50,000 jobs in December. Initial claims have not spiked, hovering around 215-220k on a four-week average. If you only read headlines, you would conclude the labor market is holding up reasonably well.

The flow indicators tell a different story.

Temporary help employment has been contracting for over two years. The canary stopped singing long ago.

The quits rate sits at 2.0%, down one-third from its cycle peak. Workers are not quitting like they used to because they are not seeing the same opportunities they saw a year or two ago. When the quits rate peaked in 2022, workers had unprecedented bargaining power. That era has clearly passed.

Hiring has slowed considerably even as layoffs remain historically low. Companies are in a holding pattern: not adding headcount, not yet cutting it. This “hiring freeze without firing wave” configuration can persist for extended periods, but history suggests when it breaks, it tends to break toward layoffs rather than renewed hiring.

Duration of unemployment is extending. The share of unemployed workers who have been looking for six months or more has risen from 17-18% to 24-26%. This is early structural damage.

Breadth is broadening. State diffusion is oscillating around 50%, meaning roughly half of all state labor markets are experiencing rising unemployment. The weakness is not confined to one region or one industry. It is spreading.

The job-hopper premium has collapsed to near zero. Workers who switch jobs are earning the same as those who stay put. The Atlanta Fed Wage Growth Tracker shows the premium sits at 0.1-0.2 percentage points, down from over 2 percentage points during the Great Resignation. That means the grass is no longer greener. Workers sense the shift before it shows up in aggregate data.

Where do our composites stand? The Labor Pulse Index (LPI) currently reads approximately -0.4, placing us in the “softening” regime where fragility is developing and cyclical exposure should be reduced. The Labor Fragility Index (LFI) sits near +0.9, elevated and approaching the pre-recessionary threshold of +1.0. These are not recession readings. But they are not expansion readings either. The labor market is in transition, and the direction is not encouraging.

The question is not whether the flows are deteriorating. They are. The question is whether stocks follow. History says they do.

The Framework in Practice

We are not in the business of calling recessions. We are in the business of understanding probabilities and positioning accordingly.

What the labor data tells us right now is that the economy’s engine is running cooler than headlines suggest. The transmission chain we described at the outset, labor into income into spending into credit into housing, is experiencing friction at the source.

Does that mean recession is imminent? Not necessarily. These configurations can persist. Companies can hoard labor for quarters while waiting for visibility to improve. Workers can stay put while hoping conditions stabilize.

But it does mean the margin for error has narrowed. When flows deteriorate and stocks have not yet caught up, you are in a fragile state. Any incremental shock, policy mistake, financial stress, or exogenous event will transmit faster through an economy that is already showing early strain.

That is the kind of information you can act on, whether you are running a portfolio, making business decisions, or simply trying to understand what is actually happening beneath the noise.

How to Track This Pillar

The core indicators we track monthly:

JOLTS Quits Rate. The truth serum. Watch for sustained readings below 2.0%. This is the single most important flow indicator.

JOLTS Hires and Layoffs. Track both rates. The gap between them reveals whether we are in hiring freeze or firing wave territory.

Temporary Help Services Employment. The canary. Year-over-year contraction is the signal. Anything below negative 3% sustained starts flashing red.

Long-Term Unemployed Share. Calculate this as workers unemployed 27+ weeks divided by total unemployed. Rising share confirms flow deterioration is translating into structural damage.

State Labor Market Diffusion. Percentage of states with rising unemployment over a three-month window. Sustained readings above 50% signal systemic stress, not idiosyncratic weakness.

Industry Employment Diffusion. Same concept, different cut. What percentage of industries are adding jobs versus shedding them. We track both one-month and three-month diffusion. When the majority of industries contract simultaneously, breadth has broken.

Sector Quits Diffusion. Not just the aggregate quits rate, but how many sectors are seeing quits decline. Weakness concentrated in one or two sectors is rotation. Weakness across eight or ten sectors is regime change.

Cohort Analysis by Firm Size. Small businesses (under 50 employees) hire and fire first. Large firms (500+ employees) move later but with more momentum. When small business employment peaks and rolls over while large firms still expand, that divergence is an early warning. The small guys see it first.

Cohort Analysis by Demographics. Prime-age workers (25-54) are the core. But younger workers (16-24) and older workers (55+) behave differently across the cycle. Youth employment is more volatile, turning sooner. We watch for peak-to-trough timing across cohorts to understand cycle phase.

Atlanta Fed Wage Growth Tracker. Median wage growth for job switchers versus job stayers. The premium collapse reveals what workers actually believe about their options. When the job-hopper premium drops below 0.5 percentage points, that is a late-cycle signal. When it goes negative, as it has in recent readings, that has historically only occurred around recessions.

Initial Jobless Claims. Weekly data, four-week moving average. This is our high-frequency pulse check. Sustained break above 250k confirms what monthly data suggested.

Continued Claims. How many workers remain on unemployment benefits week after week. Rising continued claims while initial claims stay flat means duration is extending. People are filing but not finding work quickly.

The release schedule: JOLTS arrives monthly with a 40-day lag, so November data drops in early January. Employment Situation (payrolls, unemployment, demographics) releases first Friday of each month. Jobless claims report weekly every Thursday morning. Wage tracker updates monthly.

We do not wait for the data to tell us what happened. We use the data to understand what is happening now and what is likely to happen next. Flows before stocks. Breadth alongside direction. Turns over levels.

Invalidation Criteria

Every thesis needs an exit door. Here is what would make us wrong about labor market fragility.

The bearish labor thesis is invalidated if we see three consecutive months of:

Quits Rate rising above 2.1%. Workers regaining confidence, chasing better opportunities again.

Hires Rate rising above 3.8%. Companies competing for talent, not just holding pattern.

Long-Term Unemployed Share dropping below 20%. Quick reabsorption of job seekers, no structural scarring.

Temp Help Employment YoY turning positive. Companies adding flexible labor, signaling confidence in demand.

Initial Claims four-week average dropping below 200k sustained. No layoff wave materializing.

If we see sustained improvement across these measures, the late-cycle stress signal is wrong. We rotate from defensive to cyclical and add risk. Framework drives positioning, but the framework can be wrong. Data determines outcome.

The Bottom Line

The labor market does not move in a straight line from expansion to contraction. It gives you signals. The question is whether you are watching the right ones.

We watch flows before stocks. We measure breadth alongside direction. We track the turns, not just the levels. And we remain humble about timing while staying confident about framework.

Labor is not a sector. It is the economy itself, measured in real time. There is no production without workers. No consumption without income. No credit cycle without employment.

The key insight remains: flows vs. stocks. Flows move first because workers and employers at the margin sense changes before they show up in aggregate data. Stocks lag because they are the cumulative result of many individual decisions.

When quits decline, workers are seeing something management has not admitted. When temp help contracts, employers are cutting the most flexible labor first. These are not forecasts of recession. They are the recession beginning, six to twelve months before NBER makes it official.

Current state: quits at 2.0% and oscillating near threshold. Temp help contracting for two years. Hiring frozen while layoffs stay low. Duration extending. Breadth widening. Premium collapsed. LPI at -0.4 (softening). LFI at +0.9 (elevated fragility).

The flows are flashing. The stocks are sleeping. One of them is wrong.

This is how we analyze the labor market.

Bob Sheehan, CFA, CMT

Founder & CIO, Lighthouse Macro

This is the first in a 12-part series on the Lighthouse Macro framework. Next up: Pillar 2 (Prices).

What they’re missing: the same mismatch creating the risk is now creating a mechanical, involuntary bid for US Treasuries.

This isn’t a bullish call. It’s an explanation for why the hollow rally might persist longer than fundamentals suggest. And why, when it eventually breaks, the snap-back could be more violent than anticipated.

————————

The Problem Everyone Sees

Duration mismatch is real. When the Fed raised rates from 0% to 5.5% in record time, banks with long-duration asset portfolios got hit. Unrealized losses on securities peaked around $690B in Q3 2022. They’re still sitting around $337B today.

Figure 1: Bank unrealized losses peaked at $690B in Q3 2022, now at $337B

Members research. Read the full piece at https://lighthousemacro.com/research/the-reflexive-bid.html or open it in Pharos.

That’s fine if you’re managing a portfolio. It’s what I do. Last week, I launched Lighthouse Crypto Macro with live-tracked positioning. The whole global macro book, covering equities through commodities, is coming next. When I say we’re defensive, you’ll see it. When we add risk, the same thing. Investment conclusions backed by transparent positioning.

But there’s a gap I keep noticing.

Two Economies

Last week, I published a thread breaking down the American consumer. Not the aggregate. The actual composition.

Start with savings. The top 20% of households still hold $470 billion in excess pandemic savings. That’s the cushion they built during lockdowns, and it’s still there. The bottom 80%? Underwater by $437 billion combined. The cushion isn't gone. It was never there to begin with for most of them.

This isn’t a gap. It’s two different economies wearing the same headline.

It gets worse the deeper you look.

Subprime Auto

If you want to see stress before it shows up in unemployment claims, look at car payments. 60+ day delinquencies are at 6.6%. The repo rate (how often lenders physically repossess vehicles) is 3.7%. Negative equity, where borrowers owe more than the car is worth, sits at 23.7%.

All three metrics now exceed their 2008 peaks.

That’s not a typo. The subprime auto market is in worse shape today than it was heading into the financial crisis. The difference is nobody’s making a movie about it.

Labor Bifurcation

Small businesses (those with 1 to 49 employees) are shedding jobs at a rate of -3.2% year-over-year. Large firms with 500 or more employees grew payrolls by +1.9% over the same period.

Here’s why that matters: small businesses employ the bottom 80%. Large firms employ the top 20%.

When the BLS reports “solid job gains,” they’re averaging a contraction and an expansion. The headline looks fine. The composition doesn’t.

The Inequality of “Average”

Inflation doesn’t hit everyone equally. The top 20% experiences an effective inflation rate of around 3.2%. The bottom 20%? Closer to 6.1%.

The difference is exposure. Shelter, food, and energy make up a larger share of spending for lower-income households. When those categories run hot, the pain concentrates at the bottom. Inflation is a regressive tax, and it’s been grinding for three years.

Savings rates tell the same story from the other direction. The top 10% of earners save 18% of their income. The bottom 60%? Just 1.2%. They’re not building a buffer. They’re surviving month to month.

The investment read writes itself: be selective in consumer discretionary, watch credit stress in lower-income cohorts, don’t trust aggregate spending data.

But here’s the thing.

If you’re a regional credit union, that subprime auto data should change your lending standards. If you’re a manufacturer deciding on capacity expansion, that labor bifurcation matters. If you’re a retailer serving the bottom 80%, that spending data explains why your customer is trading down.

Same analysis. The first group gets a portfolio tilt. The second group gets an operational insight. Both are valuable. Only one audience has been served.

The Gaps

There’s a gap between institutional research and what’s available to retail traders.

There’s a gap between market-focused research and policy economics: different disciplines, different questions, different audiences.

But the widest gap? Between all of the above and regular people. Small business owners. Workers trying to gauge job security. Anyone who senses something’s off but doesn’t have the framework to decode it.

Most economic analysis either ends with a ticker symbol or gets published in journals nobody reads. The person running a 15-person company, deciding whether to hire or hold off, has almost nowhere to go. They’re left with headline GDP, the unemployment rate, whatever the TV says. Surface-level stuff that often misleads more than it informs.

I remember being in high school during the financial crisis, listening to news about collapsing housing and disappearing jobs. My parents weren’t traders. They weren’t rebalancing a portfolio. But the crisis hit them anyway.

That stuck with me.

Not a Pivot. An Expansion.

I’ve spent my career doing research and managing money for institutional clients. The work is rigorous. The audience is narrow. And the output almost always lands on a market call.

This series is me doing two things at once: showing the current audience the depth of process behind my positioning, and opening a door for people who could use the same analysis but have been left out because nobody’s framed it for them.

Over the next several weeks, I’m going to walk through the framework I use to analyze the economy and position portfolios. Twelve pillars. Three engines. A layered system that tells me both where we are and where we’re heading.

Engine 1: Macro Dynamics (Pillars 1-7)

Labor. Prices. Growth. Housing. Consumer. Business. Trade.

This is the real economy. The machinery. The labor cycle drives the machine: worker confidence drives wage pressure, wages drive spending, spending drives revenue, revenue drives hiring. It’s a feedback loop. When it’s virtuous, expansions extend. When it cracks, the cracks spread.

The quits rate is the economy’s truth serum. When workers stop quitting, they’re seeing something management hasn’t admitted yet. Every recession since 1990 was preceded by quits falling below 2.0%. We’re at 1.9%.

Engine 2: Monetary Mechanics (Pillars 8-10)

Government. Financial. Plumbing.

A lot of people find this part boring. I find it fascinating. The reverse repo facility is draining toward zero. The gap between what credit spreads are pricing and what labor fragility is signaling. Dealer balance sheet constraints that determine whether liquidity actually transmits into markets. Most of this happens in the background until it doesn’t.

I came up trading equities and managing multi-asset portfolios. But understanding what drives those markets pulled me deeper into the plumbing: reserves, repo, the standing facilities, stablecoin collateral chains. The transmission matters as much as the mechanism.

Engine 3: Market Structure (Pillars 11-12)

Trend, Momentum, and Internal Mechanics.

Macro tells us what should happen. Market structure tells us what is happening.

We use Trend, Momentum, and Relative Strength to bridge the gap between economic theory and market reality. While these are often used as bottom-up tools for picking stocks, they are vital for determining our top-down stance. If our macro models scream ‘buy’ but the market (or a specific region or sector) is locked in a structural downtrend, we stand down. We watch Relative Strength to see where capital is actually flowing, and we respect Momentum as the final arbiter of timing.

With that said, much like headline employment numbers, the averages often hide what’s really happening underneath.

Fundamentals drive the destination, but flows drive the path. This engine measures the market’s structural integrity. Is a rally supported by broad participation across sectors, or is it just three mega-caps masking rot beneath the surface? Is sentiment so euphoric that there’s nobody left to buy?

We don’t look at technicals to predict the future; we look at them to risk-manage the present. When the macro data says “go” but market structure shows failing breadth or extreme positioning, we wait.

Macro sets the thesis. Market structure determines the exposure.

All twelve pillars feed into a three-layer output: recession probability, warning signals, and regime classification.

Current regime: Elevated Risk. We’re defensive.

Why Show the Process?

For the current audience: When I publish a call or take a position, you’ll have seen the machinery at work. Not “trust me.” Here’s what I watch, here’s what it’s saying, here’s what would change my mind. Strong views, weakly held. Confident, but humble.

For the broader audience: The same analysis that drives portfolio positioning can inform business decisions, hiring timing, credit standards, and pricing strategy. You’ve just never had it framed that way.

How This Works

Each post covers one pillar. Same structure:

1. What it is: The indicators and what they measure.

2. Why it matters: The transmission mechanism. How this connects to everything else.

3. How to track it: Where the data lives, what thresholds matter.

4. Invalidation: What would change my view.

We start with Labor (Pillar 1). It leads everything, so it goes first.

By the end, you’ll have a framework. Maybe you adopt it wholesale. More likely, you take what’s useful and fold it into your own process. Either way, you’ll understand the gears.

Over the next several weeks, I’m going to show you how I see the economy. Whether you use it to position a portfolio, run a business, or make sense of the noise, that’s your call.

Bob Sheehan, CFA, CMT

Lighthouse Macro

We’ve been invited to join Botsfolio as a Pro Portfolio Creator. This is our public-facing Lighthouse Macro Crypto Portfolio. Link: Sign up with this link for 20% discount! (Or apply coupon code=bobe8f)

Why We’re Doing This

Some of you run crypto-only mandates. Crypto represents roughly 10-20% of our broader allocation thinking, but this portfolio gives you a live, trackable implementation of our framework explicitly applied to crypto markets, with a published track record you can follow in real time.

The Approach

Same Lighthouse Macro framework, non-traditional asset class.

We synthesize across three engines: Macro Dynamics (growth, inflation, consumer, labor), Monetary Mechanics (RRP, reserves, repo stress, dealer constraints), and Market Technicals (both top-down structure and security-specific signals). Edge comes from multi-domain synthesis: tracking macro conditions against credit stress, Treasury internals alongside stablecoin flows, funding dislocations across traditional and crypto plumbing.

The framework identifies the regime. On-chain fundamentals, microstructure, and price signals drive coin selection and timing. Position sizing scales with regime confidence and technical confirmation. Larger when everything aligns, defensive when signals diverge.

• Tactical horizon is 3-6 months per trade when framework & technicals align.

• Current Positioning: 100% USDT. That’s not a placeholder. It’s the position.

We’re in research and conviction formation mode, testing crypto data vendors for on-chain and fundamental coverage, and waiting for framework confirmation before deployment. Cash is an active allocation. We deploy when the setup meets our criteria, not before.

New: Educational Series Coming

We’ve realized something. As it is today, our research shows you what we’re seeing, but we haven’t fully explained how we see it. That changes now. Starting soon, we’ll publish 2-3 free posts per week that walk through the Macro, Monetary, and Market pillars that make up our framework. What we look at. Why we care about it. How the pieces fit together.

This won’t give away proprietary indicators or weightings, but it will give you a clear understanding of our process and the inputs that drive our views. For crypto specifically, we’ll cover how we score opportunities across technical structure, protocol fundamentals, and market microstructure (funding rates, liquidation asymmetry, exchange flows) before deploying capital.

Follow the Crypto Portfolio

To copy-trade or track positioning:

The Bigger Picture: Transparency

We want to provide real value to our readers. That means:

1. Education: A new series explaining our framework

2. Live performance tracking: Starting with crypto on Botsfolio, with plans to find a similar platform covering equities, rates, credit, currencies, and commodities (or ideally one platform that covers everything, including crypto).

We’re no strangers to defending our calls. We did it monthly for years with investors, risk team, and compliance, and quarterly to the entire firm. It’s been publicly displayed on my LinkedIn for the better part of a decade. But this game is all about “what have you done for me lately,” and we’ve never traded crypto as part of a published strategy. So we’re starting fresh, with full transparency, and building the track record in public.

Bob Sheehan, CFA, CMT

Founder & Chief Investment Officer

| Follow @LHMacro on X/Twitter

MACRO, ILLUMINATED.

This is not a call for an immediate crash. It is recognition that the margin for error is thin. In this environment, the penalty for being early to defense is small, while the penalty for being wrong-sized on risk is asymmetric and severe.

What Hasn’t Changed

What Has Changed

Members research. Read the full piece at https://lighthousemacro.com/research/positioning-update-playing-defense.html or open it in Pharos.

Liquidity still exists. But it no longer absorbs risk. It transmits it.

Today we’re releasing the January edition of The Horizon, our macro diagnostic designed to strip away headlines and focus on system function. This report documents how we arrived at a market that looks calm but operates without margin for error, and why the first half of 2026 is likely to be defined by a volatile handoff from liquidity-driven stability to fundamental vulnerability.

We are not calling for an imminent recession. We are documenting a structural change in resilience. The Hollow Rally can persist for weeks or months. But the conditions that will eventually end it are no longer hypothetical. They are already in place.

Key Readings | January 2026

Figure 1: Key Readings | Lighthouse Macro Dashboard

Part I — The Silent Stop

GDP is the paint job. GDI is the engine. And the engine has seized.

The macroeconomic environment of 2026 is characterized by a phenomenon I call The Silent Stop, in which aggregate stability in headline figures masks a rapid erosion of the internal engine of organic growth.

Here is the critical signal: a historic divergence between Gross Domestic Product (GDP) and Gross Domestic Income (GDI), two measures that should converge over time, but currently do not. In a perfect world, these should be identical. One measures what we produce, the other measures what we earn. They no longer converge.

Figure 2: Real vs. Nominal GDP trajectories reveal inflation distortion in headline growth.

Real GDP growth reads +1.8%. Real GDI growth? Flatlined at 0.0%. That’s a 180 basis point statistical discrepancy, the largest since 2008. While GDP–GDI gaps are subject to BEA revisions, divergences of this magnitude have historically coincided with late-cycle or pre-recession dynamics, not durable expansions. The implication: output is increasingly fueled by high-interest credit accumulation and wealth drawdown rather than organic income generation.

We’re not growing. We’re borrowing tomorrow’s consumption to maintain today’s illusion.

The Fiscal Dominance Loop

The federal government is running deficits at a pace typically reserved for recessions or wars, during what headline data calls “expansion.” Federal debt has breached $36.2 trillion. Debt-to-GDP sits at 119%, just shy of the 120% threshold that historically coincides with accelerating interest-growth differentials and reduced fiscal flexibility.

Figure 3: Federal debt trajectory—119% of GDP and climbing.

But here’s what keeps me up at night: Interest expense as a share of federal tax receipts has reached 22%, approaching what I refer to as a fiscal Minsky threshold, where debt service begins to mechanically crowd out discretionary policy choices. When interest payments consume more than a fifth of all tax revenue, and that share is accelerating, the math starts to break.

Figure 4: Interest expense as % of tax receipts has risen sharply since 2022.

The Fiscal Dominance Cascade:

The Fiscal Dominance Cascade: Higher yields → Larger interest expense → Larger deficits → More issuance → Higher yields

Figure 5: The self-reinforcing fiscal dominance loop is now active.

Part II — Labor: The Freeze Before the Break

The labor market isn’t crashing. It’s freezing. And that distinction matters enormously.

Headline unemployment at 4.4% looks non-recessionary. But the internal dynamics tell a different story. The quits rate has fallen to 2.0%, which is pre-recessionary territory. The mean unemployment duration has increased to 24.4 weeks. Long-term unemployed (27+ weeks) now represent nearly a quarter of all jobless workers.

Figure 6: Headline unemployment masks structural deterioration.

The Labor Fragility Index (LFI), our proprietary composite that tracks structural health beneath the headline, is at +0.93 standard deviations. That is elevated territory. Not crisis territory, but sufficiently deteriorated to warrant defensive positioning.

Figure 7: LFI composite at +0.93σ—structural weakness building beneath stable headline unemployment.

The LFI combines three z-scored components: long-term unemployed share, quits rate (inverted), and hires-to-quits ratio (inverted). Higher means more fragile. We’re now firmly in the elevated risk zone for the first time since the post-COVID normalization.

Perhaps more concerning: the Employment Diffusion Index has fallen below neutral for the first time since the pandemic recession.

When the diffusion index falls below 50%, it indicates that more industries are contracting employment than expanding. This is a broad-based weakness signal that typically precedes deterioration in headline unemployment by 3–6 months.

Figure 8: Employment Diffusion at 48.5%—more industries now losing jobs than adding them.

Duration Tells the Real Story

Here’s what the headline doesn’t show: the distribution of unemployment duration has shifted dramatically.

Figure 9: Duration cohorts reveal structural damage invisible in headlines.

Short-term unemployment (less than 5 weeks) has declined since the pre-pandemic period. But long-term unemployed (27+ weeks) have increased by 750,000, a 63% jump. Workers aren’t cycling through unemployment quickly. They’re getting stuck.

Figure 10: Demographic breakdown shows the 55+ cohort disproportionately trapped.

The K-Shaped Employer

Net job creation now comes almost entirely from large firms. Small businesses, the traditional engine of employment growth, have essentially stopped hiring.

Figure 11: Net job creation divergence—small businesses shedding jobs while large firms grow.

Sector divergence is equally stark. Government (+2.2% year over year) and healthcare (+2.8% year over year) are carrying employment growth. Professional and business services (-1.6% year over year) and manufacturing (-2.5% year over year) are in outright contraction. We’re witnessing a white-collar recession disguised by public sector hiring.

Figure 12: Sector-level employment shows stark divergence—government and healthcare carrying the load.

Part III — The Liquidity Twilight Zone

For the past two years, the Overnight Reverse Repo Facility (ON RRP) acted as the system’s shock absorber. At its peak in late 2022, it held $2.55 trillion, a massive buffer of high-quality liquid assets that could absorb Treasury supply, cushion funding stress, and provide the margin of safety that kept the plumbing functioning.

That buffer is gone.

ON RRP now stands at $3.2 billion. Not trillion. Billion. That’s a 99.9% drawdown from peak. The system’s margin of error has evaporated.

Figure 13: ON RRP exhaustion—from $2.55T to $3.2B. The buffer is gone.

Bank Reserves: Approaching the Floor

Bank reserves sit at $2.88 trillion, approaching what I call the Lowest Comfortable Level of Reserves (LCLOR), estimated around $2.8 trillion. Below that level, funding stress historically emerges: repo rates spike, dealer balance sheets tighten, and funding markets become nonlinear. The transmission mechanism from monetary policy to markets becomes unpredictable.

The Fed has initiated reserve management purchases (~$40B/month) to slow the decline, but at current pace this barely offsets ongoing structural drains from currency demand and TGA fluctuations. It’s a technical fix, not a buffer rebuild.

Figure 14: Bank reserves approaching the LCLOR danger zone—only $79B of buffer remaining.

Figure 15: Bank reserves as % of GDP with historical context—distribution matters more than level.

Funding Spreads: Calm Before the Storm

The SOFR–EFFR spread currently stands at approximately 1 basis point. It’s the calm of a system running without buffers. When stress arrives, via Treasury supply, tax payments, or quarter-end pressures, there’s nothing left to absorb it.

Historically, sustained SOFR–EFFR dislocations exceeding 15–20 basis points have reflected dealer balance-sheet constraints, often coinciding with reserve scarcity or Treasury settlement stress.

Figure 16: SOFR-EFFR spread—calm surface, fragile foundation.

Figure 17: Historical stress zone analysis for funding spreads.

Part IV — The Consumer Bifurcation

The American consumer isn’t a monolith. It’s two entirely different economies operating side by side.

The top 20% of households still hold roughly $480 billion in excess savings from pandemic stimulus. They’re buffered. Their balance sheets are intact. Asset appreciation has more than offset inflation erosion.

The bottom 80%? They’re in deficit. Excess savings exhausted. Credit cards maxed. Running on fumes.

Figure 18: Excess savings by income cohort—bottom 80% in deficit territory.

Figure 19: The K-shaped consumer—savings depleted, credit expanding.

Delinquencies: The Leading Indicator

Credit stress always shows up first at the margins. And the margins are screaming.

Subprime auto delinquencies have reached levels last seen during the 2008-2009 crisis. Credit card delinquencies are tracking toward multi-decade highs. This is not 2008, the banking system is far better capitalized, but it is clear evidence that consumer bifurcation has reached a late-cycle breaking point.

Figure 20: Consumer delinquency rates by category—credit card and auto stress elevated.

Figure 21: Subprime auto delinquencies at crisis levels—all metrics exceed 2008.

Part V — Credit Complacency

Perhaps nowhere is the disconnect more stark than in credit markets.

High-yield OAS sits at 274 basis points, the 2nd percentile since 2000. Investment-grade spreads are similarly compressed across the quality spectrum. Credit markets are pricing in perfection.

Here’s the problem: credit markets are ignoring what the labor market is telling us. Our Credit–Labor Gap (CLG) indicator reads -1.2, indicating that credit spreads are materially tighter than labor fundamentals would historically justify. That means spreads are too tight relative to the structural weakness in employment. History suggests this gap will close, typically with credit widening to reflect reality.

Figure 22: Credit spreads at historical tight extremes—all tiers in bottom quintile.

Part VI — What Comes Next

Figure 23: Q1-Q2 2026 stress event calendar.

The first half of 2026 presents a gauntlet of stress points:

• January 15: Debt ceiling reinstated

• March 15: Corporate tax deadline drains reserves

• April 15: Individual tax deadline maximizes TGA

• May 1: Quarterly refunding floods duration into a market with no buffer

Each event individually is manageable. But sequentially, with no RRP cushion and reserves at LCLOR, the margin for error is razor-thin.

Scenario Probabilities

• Hollow Rally Continues (35%): Status quo maintained through Q1

• Controlled Repricing (25%): Auction tails > 5 bps, SRF usage > $30B, orderly adjustment

• Disorderly Unwind (20%): SOFR-EFFR > 20 bps, 10Y > 5.5%, VIX spike

• Soft Landing (20%): Quits stabilize > 2.3%, claims hold < 250K

These scenarios are not mutually exclusive and may occur sequentially rather than discretely.

The Bottom Line

We are not calling for an imminent recession. We are documenting a structural shift in the system’s resilience. The Hollow Rally may continue for weeks or months. But the foundation has changed.

This framework would be invalidated by a sustained rebound in labor churn (quits >2.3%), stabilization or expansion in bank reserves, and evidence that private income growth is re-accelerating rather than being credit-substituted.

What we know with high confidence: the economy has stalled beneath headline strength. The liquidity buffer is gone. Credit markets are ignoring labor fragility. And the system is prone to discontinuity—not gradual adjustment—when stress arrives.

Position defensively. Maintain liquidity for rebalancing opportunities. Accept underperformance versus momentum-driven indices. The first half of 2026 will test the narrative of soft landing against the reality of depleted buffers.

The Hollow Rally is real. Its expiration date is unknowable. But the fundamentals that will end it are already in place.

That’s our view from the Watch. Until next time, we’ll be sure to keep the light on....

Bob Sheehan, CFA, CMT
Founder & Chief Investment Officer
Lighthouse Macro | LighthouseMacro.com | @LHMacro

MACRO, ILLUMINATED.

© 2026 Lighthouse Macro. All rights reserved. This report is for informational purposes only and does not constitute investment advice.

To build on the themes from that report, here is the latest Beam, covering the liquidity trap, labor-market deterioration, credit mispricing, and the divergence between surface calm and underlying system stress. Full Note: https://lnkd.in/egtg4Jce

Next up…

THE BEAM

1. The Macro Trap: Liquidity Starvation vs. Systemic Risk

The cycle is entering a phase where liquidity starvation and systemic risk are beginning to overlap.

The top panel of our dashboard plots the Liquidity Cushion Index (LCI) against the Macro Risk Index (MRI). LCI has been grinding lower as pandemic-era buffers are drawn down, while MRI has turned consistently positive — a sign of rising macro vulnerability beneath otherwise stable headline conditions.

Two structural shifts sit behind that divergence:

• The ON RRP facility has effectively moved from primary shock absorber to rounding error after a ~93% drawdown from the peak.

• Bank reserves are hovering near the Fed’s “ample floor,” the minimum level of liquidity the Fed believes necessary to avoid 2019-style instability.

With QT still running and no RRP buffer left, incremental shocks now hit reserves, repo, and dealer balance sheets directly.

2. The Labor Jaws: Structural Rot Beneath the Surface

The middle panel shows the Labor Dynamism Index (LDI) and Labor Fragility Index (LFI) forming a widening “jaws” pattern.

Flows-based labor data continues to deteriorate even as the headline unemployment rate remains low:

• Quits have drifted toward ~2%.

• Job openings per unemployed have slipped below 1.0.

• Long-term unemployment has risen back toward post-COVID highs.

LDI — quits, hiring, openings — has rolled negative.

LFI — layoffs, long-term unemployment, part-time for economic reasons — is grinding higher.

Historically, this structure leads recession by several quarters.

3. The Crypto Escape: Offshore Re-Leveraging

Stablecoin Momentum has re-accelerated while BTC risk premium has compressed toward zero.

This combination typically signals:

• Offshore USD balance sheet expansion.

• Liquidity being intermediated through the least regulated pipes.

• Speculative carry outpacing real-economy investment.

Crypto is once again functioning as the system’s liquidity escape valve.

4. Term Premium Paradox: Easing Into Higher Duration Risk

The next chart plots the 10-year term premium against the Fed funds rate.

• Fed funds have moved lower.

• The term premium has risen steadily.

This reflects persistent concern about Treasury supply, dealer absorption capacity, and declining foreign official demand.

5. Dealer Saturation: The 70% Concentration Wall

Primary dealer data shows Treasuries now account for roughly 70% of total securities inventory — the highest share in over a decade.

At these concentrations:

• Willingness to warehouse additional duration collapses.

• Auctions grow more fragile.

• Duration sell-offs can gap rather than mean-revert.

This is why term premium rises into easing: the marginal intermediary is full.

6. Credit Complacency: Spreads Tight Into Elevated Defaults

The final chart plots high-yield default rates against BBB spreads.

Current positioning sits in the “Complacency Zone”:

• BBB spreads near the 5th percentile of the past two decades.

• HY default rates well above long-run averages.

Historically, this combination does not hold:

• Labor deterioration flows into earnings → downgrades → sharp repricing.

• Credit leads equities by several months.

Credit is priced for perfection while both the plumbing and labor tape show late-cycle characteristics.

7. The Divergence Trap

Across liquidity, labor, and credit, the same pattern emerges:

• Liquidity buffers (RRP, reserves) are exhausted.

• Labor flows are weakening.

• Term premium is rising into easing.

• Dealer balance sheets are saturated.

• Credit markets are priced for a benign macro path.

• Crypto is re-leveraging offshore.

On the surface: strong index levels, subdued volatility, tight credit.

Underneath: exhausted backstops, fraying labor momentum, saturated dealers.

The global liquidity pool has been pushed out along the risk and duration curve just as the pipes carrying that liquidity lose slack. Upside is slow carry; downside is convex if flows reverse.

8. 3–6 Month Playbook

Regime: Late-cycle disinflation with rising term premium and credit fragility.

Direction: Goldilocks → stalled growth, one misstep from recession.

Rates

• Favor front-end duration over 10s and 30s.

• Use conditional steepeners and limited-loss structures.

Credit

• Underweight HY, especially CCCs.

• Own IG protection; HY–IG decompression attractive.

Equities

• Fade high-multiple growth and late-cycle cyclicals.

• Tilt toward quality balance sheets and stable cash-flow models.

FX & Crypto

• USD supported if the divergence snaps.

• JPY optionality attractive on rates stress.

• Crypto remains liquidity beta — strong on inflow, vulnerable on unwind.

9. Risk Flags & Invalidation

Breakers or delays to this thesis include:

• A rebound in labor dynamism (quits rising, openings per unemployed > 1.2).

• A material liquidity policy shift (QT taper, UST buybacks).

• Credit widening without default deterioration (proactive repricing).

• Sharp contraction in stablecoin supply (offshore deleveraging underway).

Until then: the system is running tighter than headline conditions suggest.

The longer the divergence persists, the more convex the adjustment becomes.

That’s our view from The Watch. Fair winds and following seas… but if not, we’ll be sure to keep the light on.

Note: Paywall goes into effect after The Horizon report. For those who wish to lock in a lifetime rate, founding membership remains open through the New Year.

MACRO, ILLUMINATED.

This is not merely an organizational footnote. It goes to the heart of how monetary policy transmits, where systemic risk accumulates, and whether post-crisis regulation has displaced problems rather than solved them. For macro practitioners focused on liquidity mechanics, this work from Nicola Cetorelli and Saketh Prazad deserves immediate attention.

Banks Are Not What You Think They Are

Begin with a simple but overlooked fact: the textbook definition of a bank—an entity that takes deposits and makes loans—has been obsolete for decades. The transformation began in the mid-1980s, when regulatory interpretations allowed BHCs to integrate nonbank subsidiaries spanning investment funds, securities dealers, specialty lenders, insurers, and broker-dealers .

The scale of this integration is staggering. Nonbank subsidiaries grew from ~10% of consolidated BHC assets in the mid-1990s to over 30% just before the 2008 financial crisis. While that share declined post-GFC, it has stabilized around 20% since then.

The scope of activity is equally revealing. By 2020, 64% of the top 200 BHCs had specialty lenders, 69% held securities brokers, 66% held insurance subsidiaries, and 74% had investment funds. Before the GFC, the average BHC was engaged in about 37 unique nonbank business lines—double the count from the 1980s .

In essence, the modern banking firm is a diversified financial conglomerate—not a deposit-loan institution.

The Liquidity Synergy Logic

Why did banks build these complex financial ecosystems? The answer lies in imperfect correlations in liquidity demands across business lines.

During market stress, a traditional bank might face deposit outflows while a nonbank affiliate—like an investment fund—experiences redemption pressure. But these events often occur at different times. By combining them under one roof, BHCs can economize on total liquidity needs and rely on internal reallocation, rather than external borrowing .

Between 1995 and 2022, intra-company funding between bank and nonbank affiliates averaged around 5% of bank subsidiary assets. These transfers weren’t incidental—they were the internal liquidity plumbing.

The real stress test came in 2007. Banks with high exposure to ABCP conduits drew significantly from their nonbank subsidiaries while avoiding reliance on the Fed’s emergency liquidity. According to Cetorelli and Prazad, this internal backstopping absorbed ~$176 billion in liquidity pressure—25% of the Fed’s total emergency lending during the GFC .

Regulation Breaks the Synergy

After the crisis, the Dodd-Frank Act’s “living wills” requirement disrupted these internal liquidity mechanisms. Regulators discouraged funding interdependence because complex internal ‘plumbing’ makes a bank impossible to unwind in bankruptcy. To make BHCs resolvable, they demanded these entities be severable, effectively forcing banks to dismantle their own shock absorbers.

Fed researchers tested the effect of this shift by comparing BHCs subject to the living wills requirement with those that weren’t. The result? Post-regulation, BHCs reduced their nonbank asset share, number of subsidiaries, business line diversity, and intracompany funding flows .

The Paradox: Where Does the Risk Go?

Here’s the paradox: regulations meant to reduce risk inside banks may have merely displaced it to the unregulated periphery.

When BHCs divest nonbank subsidiaries, the intermediation function doesn’t disappear, it migrates to independent NBFIs. But banks still provide liquidity to these entities through credit lines, repos, and deposit flows. So instead of monitoring internal funding relationships, regulators now face a sprawling, fragmented, and opaque system of external dependencies.

This externalization has grown. According to 2025 Fed research, bank credit lines to NBFIs now exceed 3% of GDP, becoming the dominant form of bank-NBFI connectivity.

What You Should Watch

For allocators and macro practitioners, this reshaped landscape highlights three critical areas of focus:

1. NBFI Credit Line Exposure: These commitments, now ~3% of GDP, are likely to be drawn simultaneously in a systemic liquidity event. Monitoring these exposures and the quality of underlying collateral is critical.

2. Intra-BHC Liquidity Network Erosion: Living wills policies have reduced internal shock absorption. This makes BHCs more reliant on Fed facilities and less able to self-insure during stress events.

3. The Regulatory Boundary Paradox: Risk hasn’t vanished; it has gone dark. It now lives in the blind spots between banks and unaffiliated nonbanks.

The Larger Frame

This research leads to a deeper insight: macroeconomic stability today depends not just on interest rates, but on liquidity mechanics.

The 2020 COVID crash illustrated this vividly. The stress wasn’t from deposit runs, it was from margin calls, investment fund redemptions, and drawdowns on bank credit lines to NBFIs. These vulnerabilities weren’t visible in traditional banking metrics, they were buried in the interstitial space between affiliated and unaffiliated liquidity flows.

As Cetorelli and Prazad’s work shows, banks haven’t retreated from intermediation. They’ve simply been forced to reorganize—shifting risk from visible internal channels to opaque external webs .

Implications

• Portfolio managers should monitor FR Y-9C filings for intracompany funding levels… BHCs now operate with diminished internal liquidity flexibility.

• Macro allocators should prepare for the next crisis to emerge from the NBFI sector, with faster transmission and less buffer capacity than in 2008.

• Policymakers must revisit whether regulatory “ring-fencing” has enhanced resilience or simply fragmented the system into something harder to track, understand, and support in crisis.

That’s our view from The Watch. Until next time… we’ll be sure to keep the lights on.

MACRO, ILLUMINATED.

This week’s Chartbook documents the divergence and what breaks first.

Inside

Section I: Proprietary Systemic Risk Indicators

My Macro Risk Index (MRI) sits at +0.06σ, near neutral on the surface. But the composite masks dangerous offsetting forces. This week’s focus centers on the three highest-stress components:

• Liquidity Cushion Index: –1.45σ (critically depleted)

• Labor Fragility Index: +0.57σ (moderately elevated)

• Yield-Funding Stress: +0.97σ (approaching warning threshold)

The MRI tracks 6 components across macro, monetary, and technical pillars. Full breakdowns in the Chartbook.

The RRP facility has collapsed from $2.5T to under $300B. Banking system liquidity is 1.5 standard deviations below average. This is the primary systemic risk. Watch for a –2σ break triggering Fed intervention.

Meanwhile, two textbook late-cycle labor divergences are flashing:

• Payrolls stable while quits collapsed 33%

• Hours growth –0.5% YoY vs employment +1.2% (1.7pp divergence)

Both patterns preceded the 2000 and 2007 recessions by ~6 months.

Section II: Global Macro Intelligence

The AI infrastructure buildout remains intact. Semiconductor equipment billings +28% YoY, Taiwan exports +40%. But hyperscaler capex efficiency has collapsed 75% (11K → 2.5K compute per dollar). Diminishing returns are emerging. This suggests an AI capex peak 2–4 quarters out.

Enterprise adoption validates the secular thesis: 55% of companies using or planning AI. Oracle RPO exploded from $140B to $460B. Multi-year committed revenue essentially guaranteed.

The U.S. is winning the AI talent war (+15 net inflow per 10K vs China’s –8 outflow) and holds 45% of global AI patents with higher citation impact. Talent concentration = innovation advantage. This justifies U.S. AI company premium valuations.

Section III: Technical Analysis & Positioning

Coverage on NVDA, ASML, TSM, MSFT, JPM, GS, COIN, MSTR, MARA, HYG with:

• Technical levels

• Relative strength diagnostics

• Risk/reward setups

• Cycle-consistent interpretation across assets

Credit markets (HYG) are near 52-week highs despite rising macro risks. Historically falls 20–30% in recessions. HYG puts = cheap protection?

Data Partnership

Select global macro datasets in this Chartbook leverage the MacroMicro × Lighthouse Macro integration. All proprietary indicators (including the MRI suite, liquidity composites, labor market systems, and positioning frameworks) are developed internally using Lighthouse Macro’s proprietary methodology.

This Week’s Friday Chartbook is Ungated

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MACRO, ILLUMINATED.

⸻

As Lighthouse rolls out its Advisory Offerings, we’re publishing the backbone of our liquidity architecture — a model that tracks how stress flows through the system, from Federal Reserve plumbing to crypto collateral capacity.

This is not a funding crisis.

It’s a transmission regime.

For over a year, markets were cushioned by a passive shock absorber:

• Ample reserves

• A $2.5T Reverse Repo Facility (RRP)

• Stable dealer balance sheets

That cushion is gone.

As of November 6th, the RRP balance sits at just $10.75B — placing the system in a Critical State, with no meaningful capacity left to absorb risk.

Liquidity still exists.

But it’s no longer passive, no longer cheap, and no longer absorbing risk.

It’s transmitting it.

⸻

🔄 Liquidity Transmission Flow

Stress is now propagating through the system instead of being neutralized by it.

1. RRP Depletion → Reserve Drainage

• Sub-$50B RRP confirms no remaining liquidity buffer.

2. SRF Usage Surge → Collateral Stress

• $50.35B in SRF usage (Oct 31) marks acute dealer constraint.

3.Stablecoin Treasury Flows Stall → Plumbing Saturation

• Collateral loop stalls, breaking the cash–collateral feedback circuit.

4.Perp Basis Collapse → Crypto Leverage Transmission

• October’s $19.16B liquidation cascade was 93% larger than 2021’s QE-era equivalents, despite 9% lower leverage.

Result:

Crypto’s stress is mechanical, not narrative.

When upstream liquidity absorption fails, digital-asset markets are the first to fracture.

⸻

📊 The Dashboard: System Liquidity in Motion

• Summarizes the aggregate liquidity picture — connecting RRP depletion, T-bill arbitrage normalization, and financial-stress propagation.

This visual set shows:

• RRP decline mapping one-for-one with the Liquidity Composite

• • T-bill vs RRP rate convergence signaling arbitrage exhaustion

• • FSI components diverging as safe-asset preference re-emerges

Together, they confirm a systemic pivot: liquidity hasn’t vanished — it has changed function.

⸻

⚙️ Leverage Capacity Matrix

Liquidity quantity ≠ Liquidity capacity.

• Defines how system state translates into usable leverage — and what that means for positioning.

At $10.75B, we’re deep inside Crisis Mode.

Leverage is now constrained by plumbing, not policy.

⸻

🧠 Validation Check

October’s market behavior confirmed the model’s predictive logic:

• The Treasury/RRP arbitrage window collapsed → 15–20 days later,

• $19.16B crypto liquidation cascade followed.

Despite a smaller aggregate leverage base, the deleveraging was nearly twice the amplitude of the 2021 QE analog. The model called it. The market validated it.

⸻

🧭 What’s Next?

This is not 2008. The pipes aren’t dry — they’re full.

Liquidity remains in the system, but it has lost its absorptive capacity.

The Fed is no longer absorbing risk.

That risk now flows downstream. As the cushion dissolves, the system doesn’t fail — it transmits. Liquidity remains, but its leverage capacity is gone.

And in markets like crypto, where leverage is the market, that structural shift creates mechanical stress events.

⸻

This framework will evolve, just as liquidity itself does. We update our models and our minds.

That’s all for now from The Watch. We’ll be sure to leave the light on.

MACRO, ILLUMINATED.

TL;DR

Surface calm, shrinking cushion: funding looks orderly today, but the Federal Reserve’s Overnight Reverse Repurchase Facility (ON RRP) and bank reserves — our system’s shock absorbers — are materially thinner. Leading labor flows (quits, hires/ quits, hours worked) are rolling over even with unemployment ~4%, signaling decelerating labor momentum. Credit spreads are tight while high-yield volatility rises and default risk hasn’t fallen correspondingly — poor compensation for the risks that matter. Playbook: prioritize quality and liquidity, fade credit beta on strength, and size hedges like you actually want to keep your job through the cycle.

Playbook: Keep quality and liquidity front and center. Fade credit beta on strength—when the music’s still playing, that’s when you find your seat near the exits. Respect the curve risk and term premium. Size hedges like you actually want to keep your job through a cycle. Still a “deceleration” regime, not a crash, but the margin for error is about as thin as airline coffee.

Executive Summary

2025 is the year of market contrasts. Headlines look just peachy—unemployment only a hair above 4%, payrolls growing, stocks making new highs. But peel back the curtain, and late-cycle supports like labor momentum, liquidity buffers, and honest credit pricing are all looking a little wobbly. The machine still runs, but it’s making a new noise every week. Flexibility? Not what it used to be.

The most significant change concerns liquidity buffers. In 2022, the Federal Reserve’s Overnight Reverse Repurchase Agreement (ON RRP) facility served as a primary source of Liquidity. When Treasury bill yields were below the ON RRP rate, money market funds deposited substantial amounts at the Federal Reserve, thereby insulating private repurchase markets and banks. This excess Liquidity has since returned to Treasury bills and broader markets. Concurrently, bank reserves are now near the minimum level deemed sufficient by the Federal Reserve. While neither development alone constitutes an immediate risk, together they reduce the system’s capacity to absorb future shocks.

The second notable change involves labor market dynamics. While headline unemployment remains stable, leading indicators such as quits, the hires-to-quits ratio, and the quits-to-layoffs ratio have declined, and long-duration unemployment is increasing. Employers are reducing employee hours, which typically precedes headcount reductions. This trend does not indicate a collapse but rather a deceleration that reduces the likelihood of a smooth economic adjustment.

The third significant change pertains to credit markets. Despite late-cycle signals from labor and Liquidity, credit spreads have not widened accordingly. High-yield option-adjusted spreads (OAS) remain below 3 percent above Treasuries, and BBB spreads are near their tightest levels of the cycle. Although this does not indicate an immediate crisis, the combination of narrow spreads and increasing high-yield volatility suggests inadequate compensation for risk. This pattern is indicative of late-cycle complacency.

These developments do not necessitate a recession forecast. However, they require an accurate characterization of the current regime as one of deceleration with diminished buffers. Late-cycle transitions often appear stable until limited shock absorption capacity amplifies the impact of modest disruptions. The primary objective is to assess the system’s reduced ability to absorb shocks rather than to predict specific events.

Structural changes in liquidity, labor, credit, and macroeconomic conditions are monitored using three analytical methodologies: a threshold band model, a Markov regime-switching model, and a proprietary rotation framework. The following summarizes the evolution of these conditions from May through October 2025.

I. Liquidity — Vanishing Shock Absorbers

The financial system’s still processing transactions like a champ, but those liquidity reserves—ON RRP and bank reserves—are seriously depleted in 2025. The real story isn’t today’s stress; it’s how little shock absorption we have left. This isn’t a fire drill, but I’d keep my shoes by the door.

Figure 1 — Liquidity Cushion Index (LCI, z‑score)
What it is: Z‑score average of ON RRP/GDP and Reserves/GDP.
Why it matters: It measures cushion, not daily stress. The line is flat pre‑2008 because there were effectively no excess reserves in the pre‑QE regime—there wasn’t a cushion to vary.

Although funding conditions may currently appear stable, the reduced liquidity buffer increases systemic fragility. This vulnerability may become apparent during periods of heightened issuance, quarter-end activity, or when dealer capacity is constrained.

Figure 2 — Yield–Funding Stress vs Funding Stress
What it is: Our YFS composite (curve inversion + plumbing) overlaid with BGCR–EFFR.
Why it matters: Both improved from 2023 peaks, but remain sensitive in a low‑cushion world. With RRP essentially drained, small frictions re‑emerge quickly, especially around month/quarter ends.

Rate dispersion is a key indicator of underlying liquidity stress. When Liquidity is unevenly distributed, market participants with varying access to funding price assets differently.

Figure 3 — Repo Rate Dispersion vs Volume
What it is: 99th–1st percentile BGCR spread vs tri‑party repo volume.
Why it matters: Rising dispersion alongside elevated volume says access is uneven—a classic pre‑stress configuration that rarely makes headlines until it breaks something visible.

Bottom line for Liquidity. The system cleared a lot of flow in 2023–25 because the “overflow tank” was in place. Today, that second‑tier buffer is gone. Issuance can still clear—until a minor speed bump forces balance‑sheet intermediation that no longer scales. That is why we care about the cushion. It doesn’t forecast tomorrow’s stress. It calibrates how big it will be when it arrives.

II. Labor — Momentum Fades, Resilience Thins

While aggregate labor market indicators appear robust, more granular data reveal weakening trends. Leading indicators are declining, and the re-employment process is becoming less effective.

Figure 4 — Labor Fragility Index (LFI, z‑score)
What it is: Composite of long‑duration unemployment share (+), quits (–), hires/ quits (–).
Why it matters: Higher = more fragile, the climb since early 2024 says job‑finding is harder, and the underlying fabric is wearing thinner even before layoffs rise.

Labor Fragility Index (z) — Higher = more fragile. Rising duration share + weaker flows = tougher re‑employment channel.

Figure 5 — Labor Dynamism Index (LDI, z‑score)
What it is: Composite of quits (+), hires/ quits (+), quits/ layoffs (+).
Why it matters: Lower = less churn/optionality—workers step back from job‑switching when they sense fewer outside options. LDI tends to lead payroll growth by a few quarters.

The underlying causes are evident when comparing quits to payrolls and hours worked to overall employment.

Figure 6 — Payroll Growth vs Quits Rate
What it is: Headline payroll YoY vs quits (z) on a matched window.
Why it matters: Payrolls can stay positive while quits slide—that’s a late‑cycle tell that momentum is fading under the surface, with the headline lagging the flow.

Figure 7 — Hours Worked vs Employment
What it is: Hours YoY (utilization) vs employment YoY (headcount).
Why it matters: Hours are the first lever firms pull; cuts here often precede flat/negative payrolls and softer income.

Bottom line for Labor: Nobody’s calling for a jobs crash here, but let’s not sugarcoat it—momentum’s bleeding out, and the odds of a fairytale disinflation are getting slimmer. When workers stop quitting and firms quietly trim hours, you’re late in the cycle. Credit should care, even if equities are still busy scrolling TikTok.

III. Credit — Priced for Perfection

If credit markets had a motto right now, it’d be: “What, me worry?” Spreads are tighter than my jeans after Thanksgiving, and everyone’s acting like default risk is a bedtime story for bears. Investors are still pricing high-yield and investment-grade credit like the storm’s done and dusted, even as the real economic weather radar blinks red. This isn’t just quirky sentiment—it’s classic late-cycle psychology, and the footprints are everywhere.

What’s less obvious, but even more consequential, is the steady migration in credit quality beneath the surface. Over the past decade, the share of BBB-rated bonds—the lowest investment-grade rung—has quietly surged, reaching nearly 50% of the entire IG universe. This is not just a technical detail; it’s a slow-moving build-up of risk that gets obscured when attention is focused solely on headline spreads and aggregate yields.

Nearly half of all IG bonds are now teetering on the edge—one downgrade away from joining the junkyard. That’s a lot of “safe” assets just waiting for a nudge. Tight spreads and market calm are the magician’s misdirection—what you don’t see is the trapdoor under your feet—classic late-cycle complacency at work.

Historical analysis demonstrates that during periods of heightened uncertainty, such as early 2020, credit spreads widened significantly, reflecting increased risk aversion and higher capital costs for lower-quality borrowers. In contrast, by 2025, spreads have narrowed to levels that imply expectations of a nearly flawless economic outcome, with high-yield option-adjusted spreads below 3 percent and BBB spreads at cycle lows. This pattern suggests that markets are not currently pricing in the possibility of renewed volatility.

However, a significant divergence persists: compensation for credit risk is declining, while the actual risk persists. Despite sub-3 percent high-yield spreads, the 12-month default probability for high-yield issuers has not decreased accordingly. In several market segments, default risk remains elevated or is increasing.

The chart above? It’s the punchline. HY spreads have collapsed, but default risk hasn’t RSVP’d to the party. Usually, these lines would dance together—risk up, spreads up. This cycle, spreads are screaming “no worries!” while the fundamentals are quietly updating their wills. If you’re paying up for high yield now, you’re basically betting on a fairy godmother. Spoiler: She rarely shows up this late in the cycle.

This isn’t just a trivia question for credit nerds—it’s a live wire for portfolios. When spreads stop reflecting real risk, your traditional signals go haywire. The margin for error is paper-thin. If something bad happens, spreads won’t widen—they’ll teleport.

Portfolio managers and asset allocators should prioritize analyzing default data over relying on surface-level indicators. Allocating capital based on the assumption that current spreads provide sufficient protection is increasingly risky. Adhering to fundamental analysis is essential, even when market signals suggest otherwise.

Despite current market optimism, both labor and liquidity indicators are signaling late-cycle risks, making the current pricing of credit risk anomalous. Historically, when such divergences occur, credit markets tend to adjust after other indicators. Compensation for credit risk is now minimal, and the margin for error is minimal. In this context, complacency becomes a substantive risk factor.

The forward-looking Sharpe for credit beta is poor at current spreads. Investors are being paid less and less to shoulder more and more risk, especially as volatility creeps higher beneath the surface. It’s the classic late-cycle mismatch: tight spreads, rising HY vol, and a market that seems to be ignoring the growing fragility in labor and Liquidity. This is not a call for panic or a forecast of imminent collapse. It is, instead, a recognition that the market’s risk/reward profile is deeply asymmetric. When the next shock arrives, the buffer is too thin to provide meaningful protection, and the repricing can be both rapid and severe.

This is the context in which we must frame our allocation and risk management decisions. It is not enough to note that credit appears well-behaved; we must ask why, and for how long. The lessons of previous cycles are clear: credit can ignore macro stress for a time, but when it moves, it tends to move first—and fast. This is the moment to be vigilant, to avoid over-leveraged exposures, and to favor balance-sheet strength over yield-chasing. The reward for patience and discipline will be greatest when the first cracks emerge, not when the market is still dancing on the edge.

Figure 8 — Credit–Labor Gap vs High‑Yield Spreads
What it is: HY OAS (bps) vs our Credit–Labor Gap = z(HY OAS) − z(LFI).
Why it matters: Negative gap = spreads too tight relative to labor stress; historically, a pre‑widening configuration as credit “catches up” to macro.

Figure 9 — HY Spread Difference vs HY Volatility
What it is: HY spread tightness against realized HY spread vol (Spread–Vol Imbalance).
Why it matters: Tight spreads with rising vol = poor compensation for risk; this is a late‑cycle mismatch that rarely persists.

The credit‑equity handoff matters here. Equities can ignore a lot while momentum is strong. That’s precisely why we track EMD.

Figure 10 — Equity Momentum Divergence (EMD, z‑score)
What it is: Distance of SPX from medium/long‑term trend, scaled by realized vol.
Why it matters: > +1σ signals stretched momentum with thin shock‑absorption—prone to air‑pockets when credit finally moves.

Bottom line for Credit: Not calling a meltdown on a calendar date—but let’s be honest, the Sharpe for credit beta right now is the stuff of stand-up comedy. When the flow turns, credit’s the first to trip on the rug. And the carpet is definitely starting to wrinkle.

IV. Quality vs. Risk: A Chart of the Cycle

A striking illustration of this late-cycle dynamic is the relationship between the iShares MSCI USA Quality Factor ETF (QUAL) and the S&P 500 ETF (SPY). As the chart above shows, QUAL has recently traded at or near all-time lows versus SPY, even as macro risks have mounted. This is not merely a technical quirk—it is a symptom of a deeper behavioral pattern among investors.

Despite mounting evidence of late-cycle fragility, there remains a robust appetite for risk in public markets. Investors, intent on chasing returns, continue to pay a premium for lower-quality, higher-volatility names—often at the expense of better-capitalized, higher-quality companies. In effect, the market is rewarding risk-taking while discounting the virtues of balance-sheet strength and operational resilience. This is not the first time we’ve seen such a pattern at this point in the cycle. Late-stage bull markets are notorious for their willingness to pay up for growth and narrative over quality and substance. But the current divergence is particularly acute, raising important questions for anyone allocating capital in this environment.

Why pay a premium for risk at the expense of quality? Part of the answer lies in the momentum-driven nature of today’s markets. When the prevailing trade is to “buy the dip” and chase performance, quality factors can lag—even as the fundamental backdrop deteriorates. The temptation to reach for yield, embrace leverage, and ignore mounting macro headwinds is understandable but also dangerous. The QUAL/SPY ratio is a real-time barometer of investor psychology, and its current lows should be viewed as a warning sign, not a green light.

For disciplined allocators, this presents both a challenge and an opportunity. The challenge is to resist the siren song of risk premia that are no longer compensating for underlying volatility. The opportunity is to build positions in quality assets—those with strong balance sheets, sustainable cash flows, and proven management—at a moment when the market is indifferent to their virtues. History suggests that these moments are fleeting and that the rewards for patience and selectivity can be substantial when the cycle turns.

V. Macro — The Hidden Transition

Put the pieces together, and the macro shape is unmistakable: the buffer is thin, labor energy is fading, and credit is priced like neither is true. In essence, the market appears to be whistling past the graveyard, confident that the good times can continue indefinitely. But this is precisely the kind of late-cycle transition that has, time and again, caught investors off guard. It is a state that feels calm and orderly—until, quite suddenly, it isn’t.

What makes this moment so perilous is not simply the convergence of warning signals, but the market’s apparent indifference to them. Whether it’s the erosion of liquidity buffers, the visible loss of labor dynamism, or the persistent underpricing of credit risk, each factor alone would warrant caution. Taken together, they describe an environment where the margin for error is vanishingly small. Investors may not be able to predict the catalyst for the next episode of volatility, but they can control their exposure to the consequences. In this regime, the prudent course is to prioritize resiliency over return, and to build portfolios that can weather a broader range of outcomes than the market currently imagines.

The hidden transition is only hidden to those who are not looking. For those willing to read the signals, the message is clear: this is a time for humility, discipline, and a renewed respect for risk. The next chapter will not be written by those who chase the last basis point of yield or the next narrative-driven rally, but by those who recognize that the cycle is changing—and who are prepared to change with it.

Figure 11 — Macro Risk Index vs S&P 500
What it is: MRI (z) = +Fragility −Dynamism +YFS +CSE +EMD −LCI, overlaid with S&P 500 (index=100).
Why it matters: When MRI rises while equities climb, markets are under‑pricing macro risk. Divergences don’t pick dates; they define asymmetry.

Macro Risk Index vs S&P 500 — Macro risk rising while prices rise = under‑priced risk; the divergence defines the asymmetry.

This is also where the LCI concept pays dividends. If you think of ON RRP + reserves as the system’s crumple zone, the economy can handle bumps with minor visible damage while the crumple zone is intact. With that zone mostly gone, small bumps do bigger things.

Cross-Asset Implications

Sequence and sensitivity. In the late cycle, credit usually moves first, equities second, and rates are the referee. With curves still distorted by policy expectations, the term premium becomes the silent swing factor: if funding frictions regain traction. At the same time, the cushion is thin, term premia can rise even as growth slows — bad optics for both multiples and spreads.

Correlations and hedging. The stock‑bond hedge has been less reliable during periods of positive correlation. That does not kill duration as a hedge; it qualifies it. In an asymmetric repricing led by credit, a measured amount of belly duration still provides convexity — don’t assume a 2010s‑style negative correlation saves you mechanically. Credit options (CDX/ETF puts) or equity vol can be sized precisely to the stress you fear.

Dollar dynamics. If funding tightens and term premia rise, the USD tends to bid, which is a headwind for global beta and for commodity spill‑overs. It’s not a one‑way trade; it’s a symptom of the same plumbing that concerns us.

Earnings path. The earnings channel reacts later than flows, but it reacts. Lower hours and softer churn bleed into wages and revenue growth; pair that with rising funding costs, and you get a margin + mix that is less favorable, just as multiples are rich. That is the equity asymmetry.

Tactical Playbook

Credit.

• Fade beta on strength. Tight HY/BBB + rising HY vol is a poor forward Sharpe.

• Favor balance‑sheet quality. Up‑in‑quality IG and “rising stars” over BBBs hovering near the cliff.

• Keep dry powder. Do not sell crises you don’t own — buy them. The best credit entries come after the first gap widens.

Equities.

• Quality, cash, and duration sensitivity. Prefer cash‑flow compounders with self‑funding models; pare high operating leverage and “narrative carry.”

• Be tactical with momentum. EMD > +1σ doesn’t time a turn; it tells you the payoff profile has skewed. Use it to size hedges, not to call tops.

Rates.

• Belly over the long end. Add convexity without fully embracing the 30-year volatility.

• Curve normalization trades. If cuts are front‑loaded in pricing, hedge that optimism; harvest roll‑down where the curve still pays you.

Macro Hedges.

• Gold + quality duration. Complementary convexity if policy or plumbing wobble.

• USD vs cyclicals. A clean way to reflect funding‑led stress without over‑concentrating equity or credit risk.

• Optionality over leverage. Spreads are tight; vol is not exorbitant. Pay for convexity now, not after the gap.

Risk Management

Trigger discipline. Treat LFI > 0σ, LDI < 0σ, and LCI drifting toward 0σ as a regime set. If HY OAS ticks up while SVI stays elevated, tighten sails.

Exit discipline. If LDI re‑accelerates and hours firm, or if funding frictions stay muted despite a thinner cushion, dial hedges back—update views, not priors.

What To Watch (Simple Checklist)

• Cushion: LCI direction (z) and CL/GDP level view.

• Flows: LDI (quits/hires/layoffs) and LFI (duration/flows) confirm the same story.

• Credit tells: CLG negative (credit too tight vs labor), SVI elevated (spreads too tight vs vol).

• Plumbing: BGCR–EFFR and repo dispersion — first hints live here.

• Divergences: MRI up while SPX up is the definition of asymmetry.

That’s our view from the Watch. As always, we’ll be sure to leave the light on…

LIGHTHOUSE MACRO | MACRO, ILLUMINATED.

It’s Been an Exciting Few Weeks

I’ve joined the Global Capital Institute as Founding Chief Investment Officer, launching the Allocation Innovation Partnership (AIP).

⸻

What AIP Is Building

Private markets have lacked the intelligence infrastructure that makes public markets legible — no standardized data on how allocators decide, no comparable benchmarks for diligence quality, and no shared framework for evaluating fit.

AIP creates that layer.

We’re turning allocator behavior into structured data, diligence decisions into comparable standards, and capital formation into an evidence-based process.

The thesis is simple: capital should flow to skill and execution, not just brand and network access.

⸻

What This Means for Lighthouse Macro

Lighthouse continues — and expands.

The core focus remains public markets: growth, inflation, labor dynamics, liquidity, and funding conditions — the machinery that drives global asset prices.

What’s new is scope.

Through AIP, we’re extending that same macro and liquidity framework into the private-market domain — studying how allocators make decisions, how capital flows under stress, and how private assets interact with the broader financial system.

Same toolkit. New application.

Lighthouse remains the public-market lens; AIP adds the private-market dimension.

⸻

A Quick Signal Before the Reboot

Public-market liquidity still sets the tempo for global capital. Reverse-repo balances have fallen more than $300 billion in the past year, while T-bill demand has stayed firm, flattening bill spreads versus ON RRP. That’s a quiet-tightening regime: collateral scarcity at the front end even as funding conditions appear stable.

Historically, this mix — tight collateral plus steady rates — precedes stress migrations into less-liquid corners of the market as marginal cash chases immediacy. A reminder that plumbing tightens long before risk appetite does.

⸻

The Podcast Connection

I joined Pascal Hügli on Macro, Money & Markets for my first podcast appearance to discuss repo stress, bank reserves, and how crypto liquidity now links directly into Treasury plumbing — roughly 40 charts’ worth of how these systems interact.

🎧 Lighthouse Macro on Less Noise, More Signal

Across both the podcast and AIP, the theme is the same: infrastructure matters.

The quality of our intelligence systems determines how efficiently capital moves. Better data architecture means better decisions.

⸻

The Next Step for Lighthouse Macro

As Lighthouse evolves, so will how research is delivered.

In the near future, I’ll begin transitioning from a fully open model toward a hybrid structure.

The research cadence remains exactly as outlined in the last Beacon:

• The Beacon — Sunday macro synthesis and tactical roadmap.

• The Beam — Tuesday and Thursday shorter pieces on data, flow, and positioning.

• The Chartbook — Friday visual overview of key macro and liquidity dynamics.

• The Horizon — First Monday of each month: deep thematic exploration of structural forces shaping markets.

Select posts and highlights will remain public, but this shift supports sustained depth, higher frequency, and the rigor that defines Lighthouse.

Lighthouse Macro remains focused on public markets — it’s the signal and structure hub.

AIP extends that framework into private markets, where allocator behavior and liquidity mechanics can be analyzed with the same data-driven precision.

For those who’ve been reading since the earliest notes: thank you. The best work is ahead, and cadence officially resumes tomorrow.

⸻

If you’re an allocator, manager, or researcher interested in building better data infrastructure for private markets — or simply curious about the project — let’s connect.

Here’s to making capital flow smarter, faster, and fairer.

— Bob

Bob Sheehan, CFA, CMT

Founder | Lighthouse Macro

Chief Investment Officer | Global Capital Institute

Economic Intelligence & Global Macro Strategy

The Mechanical Architecture

Treasury buyback operations represent one of the last genuinely predictable microstructure arbitrages in global fixed income markets. Each bi-weekly operation creates a mechanical compression event where off-the-run (OFR) securities converge toward their on-the-run (OTR) counterparts with mathematical precision, only to snap back with equal certainty.

This isn’t a liquidity story. It’s not quantitative easing or monetary policy signaling. It’s pure operational mechanics—the Treasury publishes its buyback calendar, dealers have constrained balance sheets, and the resulting compression-decompression cycle unfolds with Swiss precision.

The Three-Act Compression Drama

Phase 1: Anticipation (T-5 to T-1) The market begins its mechanical dance days before the operation. Dealers, aware of impending Treasury demand for specific OFR CUSIPs, preposition inventory. The 7-10Y bucket initiates compression first—its superior liquidity enabling more aggressive front-running. Spreads tighten 50-75 basis points as the street collectively leans into the known event.

Phase 2: Peak Compression (T=0) Operation day delivers maximum distortion. The data reveals differentiated compression peaks:

• 7-10Y: -3.0 bps (sharp V-shaped profile)

• 10-20Y: -2.5 bps (moderate U-shaped compression)

• 20-30Y: -2.8 bps (gradual bowl formation)

The Treasury’s operational footprint forces temporary mispricing. This isn’t variance—it’s structural certainty.

Phase 3: Mean Reversion (T+1 to T+5) The snap-back follows exponential decay functions with maturity-specific time constants:

• 7-10Y: τ = 2 days (rapid normalization)

• 10-20Y: τ = 3 days (moderate recovery)

• 20-30Y: τ = 4 days (persistent dislocation)

The differential recovery velocities create a secondary relative value opportunity—the belly normalizes while the long end lags, exposing dealer balance sheet constraints.

Current Market Intelligence

Live Coordinates (October 10, 2025):

• Fed Funds: 5.30% (restrictive territory)

• 10Y Treasury: 3.95% (146bp inversion)

• 30Y Treasury: 4.63% (duration demand signal)

• 5Y Inflation Expectations: 2.44% (gradual disinflation priced)

Z-Score Positioning:

• 7-10Y: -1.22σ (oversold, mean reversion candidate)

• 10-20Y: +0.97σ (approaching compression trigger)

• 20-30Y: +0.90σ (elevated but lagging)

The 10-20Y bucket flashing near +1σ signals imminent compression probability. The negative Z-score in 7-10Y creates an asymmetric opportunity—long the oversold belly, short the overbought intermediate sector.

The Quantitative Framework

The compression function governing each maturity bucket:

C(t) = -α * exp(-((t-t₀)/β)²) * H(t₀-t) + -γ * exp(-t/τ) * H(t-t₀)

Empirically calibrated parameters:

• 7-10Y: (α=0.5, β=2.0, γ=3.0, τ=2.0)

• 10-20Y: (α=0.4, β=2.5, γ=2.5, τ=3.0)

• 20-30Y: (α=0.3, β=3.0, γ=2.8, τ=4.0)

The R² exceeds 0.85 across all buckets—this pattern isn’t noise, it’s signal.

Trade Implementation

Entry Protocol (Next 72 hours):

1. Scale into 10-20Y short basis as Z-score breaches +1.0σ

2. Simultaneously accumulate 7-10Y long basis at -1.2σ oversold levels

3. Size positions for 3bp compression capture

Risk Parameters:

• Stop: Z-score reversal beyond ±2.5σ

• Target: 70% unwind at T+3, full exit by T+5

• Historical win rate: 68% over 180-day sample

Position Structure:

Long: $10mm 7-10Y OFR (cheap basis)
Short: $10mm 10-20Y OTR equivalent
Net: Market neutral, positive carry

The Structural Edge

This arbitrage persists because the constraints are regulatory, not behavioral. The Treasury must execute operations. Primary dealers must provide liquidity under balance sheet constraints. The Supplementary Leverage Ratio forces inventory management patterns. The mechanical compression isn’t an anomaly—it’s the predictable consequence of operational transparency meeting regulatory friction.

The beauty lies in its permanence. Alpha typically decays. Patterns get arbitraged away. But this? This is plumbing. And plumbing doesn’t change—it just keeps flowing with mechanical precision.

Statistical Validation

Based on 27 identified operations over trailing 180 days:

• Mean compression: -2.77 bps (σ = 0.38)

• Recovery half-life: 2.67 days

• Cross-maturity correlation: 0.73

• Sharpe ratio: 1.84 (market neutral basis)

The signal lives in the operational calendar. The opportunity crystallizes with mathematical certainty.

The Simple Version

What’s Actually Happening Here?

The Setup: Every two weeks, the U.S. Treasury buys back older bonds to manage the national debt. They announce exactly when they’re doing this—it’s public information.

The Opportunity: When the Treasury announces they’re buying specific older bonds, those bonds temporarily become more valuable (because there’s a guaranteed buyer coming). Bond dealers know this and start buying these bonds a few days early, pushing prices up.

The Pattern: It’s like clockwork:

• 5 days before: Dealers start buying, prices creep up

• Day of buyback: Maximum price squeeze (about 3 basis points)

• 5 days after: Prices return to normal as dealers sell

Why It Works: This isn’t about predicting the economy or Fed policy. It’s about a scheduled government operation that HAS to happen. The Treasury publishes the calendar. Dealers have limited capacity. The squeeze is mechanical.

The Trade:

• Buy the bonds that will get squeezed (or bet on the squeeze happening)

• Hold through the Treasury operation

• Sell as prices normalize

• Repeat every two weeks

Current Signal: The indicators show we’re approaching another squeeze setup. The 10-20 year bonds are getting expensive (Z-score near +1), while the 7-10 year bonds are cheap (Z-score at -1.2). Classic compression setup.

Why This Keeps Working: Unlike most trading patterns that disappear once discovered, this one is structural. The government must manage its debt. Dealers must follow regulations. The squeeze happens because of operational mechanics, not market psychology.

Think of it like knowing exactly when and where a traffic jam will happen because of scheduled road work. You can plan around it—or profit from it.

Bottom Line: This is a 68% win rate trade that happens every two weeks like clockwork. It’s not exciting. It’s not based on genius insights. It’s just reliable, mechanical, and profitable.

Until next time, I’ll be sure to keep the light on...

Macro, Illuminated.

A New Rhythm

After several weeks rebuilding my research process and workflow, Lighthouse Macro relaunches today with a consistent publishing cadence structured around how I analyze and trade global macro themes.

Each element has a defined role:

Sundays → The Beacon — deep dives on major macro themes, built around data, charts, and structured argument.

Tuesdays & Thursdays → The Beam — concise, chart-led insights: one chart, one key takeaway, one narrative.

Fridays → The Chartbook — dozens of charts summarizing the week’s data and market action.

First Monday of Each Month → The Horizon — forward-looking cross-asset outlook connecting the cycle to positioning.

Programming note: I’m publishing The Beacon on Monday this week to get it out the door; Sundays going forward.

That rhythm begins this week. Today’s edition of The Beacon examines the challenge facing policymakers and investors alike—the last mile of disinflation.

The Last Mile of Disinflation

Inflation has moved from background variable to central macro constraint.

The pandemic shock was largely demand-driven, amplified by supply chain fragilities and energy disruptions. Goods inflation has reversed sharply, but services remain stubbornly elevated. Wages, shelter, and structural demographic forces make the final stretch, from roughly 3% back to the Fed’s 2% target, the hardest part of the journey.

The key risk facing markets and policymakers: inflation stabilizes above target, near 3%, forcing a fundamental repricing of policy expectations and asset valuations. This would represent not a return to the 2010s regime of chronically subdued inflation, but rather a new equilibrium — one that constrains fiscal space, maintains restrictive real rates, and reshapes cross-asset dynamics for years to come.

1. The Great Constraint Returns

Through the 2010s, inflation stayed subdued across developed economies. U.S. headline CPI averaged near 2%, core PCE consistently undershot the Fed’s symmetric target, Europe flirted with deflation, and Japan endured another lost decade of stagnant prices and nominal growth.

Central banks deployed unprecedented monetary accommodation — zero rates, negative policy rates in Europe and Japan, multiple rounds of quantitative easing — yet inflation remained dormant. The Phillips curve appeared broken; the relationship between unemployment and inflation had flattened to near irrelevance. Investors built portfolios around a foundational assumption: inflation would never matter again as a binding constraint on growth or policy.

That world ended abruptly in 2021. Headline CPI surged past 9% in June 2022 — the highest reading in four decades, rivaling the early 1980s Volcker era. Core PCE, the Fed’s preferred gauge, followed suit, overshooting the 2% target by the widest margin in a generation.

The 2021-2022 inflation shock wasn’t merely a temporary deviation. It represented a regime shift: Inflation moved from irrelevant background noise to the dominant constraint on policy, growth, and fiscal sustainability. The Federal Reserve pivoted from worrying about chronically low inflation to fighting the most acute price pressures since Paul Volcker’s tenure.

The question now isn’t whether the 2021-2022 spike was “transitory”, that debate is settled, and the answer was no. The live issue is where inflation settles: back at the 2% target that anchored the 2010s, or closer to 3%, establishing a new, higher equilibrium. That outcome will shape monetary policy trajectories, fiscal sustainability, bond market pricing, and equity valuations for years.

2. The Shock That Changed Everything

2.1 Demand Overshoot: Fiscal Transfers at Unprecedented Scale

The COVID recession was unique in economic history. Rather than income collapsing, the normal pattern in recessions, household incomes surged through massive, front-loaded fiscal transfers. Direct payments, enhanced unemployment benefits, PPP loans, expanded child tax credits, and emergency rental assistance pumped trillions into household balance sheets over 18 months.

The fiscal boost — visible in the widening gap between total disposable income and income excluding transfers — created a powerful rebound in aggregate demand. When pandemic restrictions lifted in 2021, pent-up demand collided with constrained supply. Too much money chasing too few goods: the textbook definition of demand-pull inflation.

This demand overshoot was intentional policy. Policymakers prioritized avoiding the mistakes of 2008-2009, when inadequate fiscal support produced a slow, grinding recovery with persistent unemployment. The 2020-2021 fiscal response erred in the opposite direction — delivering too much stimulus relative to supply capacity, igniting inflation but also ensuring a rapid return to full employment.

2.2 Supply Under Strain: Fragile Global Networks

Supply capacity buckled under the demand surge. Global shipping networks, optimized for just-in-time logistics and low inventory buffers, proved brittle when stressed.

Ports clogged with containers, semiconductor shortages paralyzed auto production, shipping costs exploded 10x normal levels, and delivery times lengthened from weeks to months. Backlogs built across manufacturing and distribution networks. The Global Supply Chain Pressure Index, maintained by the New York Fed, surged to record highs in late 2021.

Supply chain pressures led core goods inflation by roughly 5 months, demonstrating the causal link. But by mid-2022, supply chains had largely normalized — the GSCPI returned to pre-pandemic levels, yet core goods inflation remained elevated through 2023. This divergence reveals an important truth: supply chain disruptions amplified the inflation surge but were not the root cause. Demand was doing the heavy lifting.

2.3 Energy and Food Shocks: Geopolitical Multipliers

As supply chains began healing in late 2021 and early 2022, Russia’s invasion of Ukraine on February 24, 2022 layered on a severe global energy and food shock. Oil, natural gas, and grain prices surged, transmitting inflationary impulses globally.

Brent crude oil climbed toward $130/barrel in March 2022. European natural gas prices, measured by the Dutch TTF benchmark, exploded to €360/MWh (roughly $500/barrel of oil equivalent), a 6-7x increase from pre-invasion levels. Energy inflation fed through to food prices (via fertilizer costs and production inputs), transportation costs, and goods prices more broadly.

The energy shock kept headline inflation elevated throughout 2022 even as goods price pressures began normalizing. It also created a significant divergence between U.S. and European inflation dynamics. Europe faced a more severe and persistent energy-driven shock due to reliance on Russian pipeline gas.

3. The Anatomy of the Inflation Surge

3.1 Demand vs. Supply: What Research Tells Us

Most rigorous economic research attributes the bulk of the 2021-2023 inflation surge to excess aggregate demand, with supply disruptions and energy shocks acting as multipliers rather than root causes.

Federal Reserve staff analysis, academic studies from institutions like the San Francisco Fed and the National Bureau of Economic Research, and international comparisons all point to the same conclusion: fiscal stimulus-driven demand exceeded supply capacity, and that excess demand drove the persistent component of inflation.

The evidence: as supply chain pressures normalized in 2022-2023, inflation did not collapse. Goods inflation cooled, but services inflation — the labor-intensive, domestically-produced component — remained sticky. This pattern is inconsistent with a primarily supply-driven shock (which would reverse when supply heals) but consistent with demand-driven inflation (which persists until demand cools or supply expands).

3.2 Goods vs. Services: The Great Divergence

Goods inflation is volatile and self-correcting; services inflation is sticky and persistent. This divergence defines the current phase of the cycle.

Durable goods inflation surged to 18% year-over-year in early 2022 — driven by used cars, appliances, electronics, and furniture — then collapsed into outright deflation by 2024. Durable goods prices are now falling year-over-year, subtracting from headline CPI.

Services inflation, by contrast, never followed goods lower. Services CPI remains near 4% year-over-year — double the pre-pandemic pace. Rents, healthcare, auto insurance, restaurant meals, and other labor-intensive services keep inflation anchored well above the Fed’s target.

This divergence reflects structural differences: goods prices are set in globally integrated markets with elastic supply, while services prices are set in local labor markets with inelastic supply. Goods inflation self-corrects quickly; services inflation requires labor market slack to cool.

4. From Peak to the Last Mile

4.1 Goods Reversal: Deflation in Durables

The goods side of inflation has flipped decisively. Durable goods prices — cars, appliances, electronics, furniture — now subtract from headline CPI on a year-over-year basis.

Durable goods orders have normalized after the pandemic surge, signaling cooling demand. Inventories have rebuilt, supply chains have healed, and pandemic-era premiums (like the used car markup) have evaporated.

Durable goods CPI peaked at 18.8% year-over-year in early 2022. By late 2024, it had turned negative, reaching -4.2%. The goods inflation problem is solved. Goods are no longer the source of inflationary pressure — they’re now a disinflation headwind.

4.2 Wages: Cooling but Still Elevated

Labor markets are cooling, but wage growth remains above pre-pandemic norms, feeding services inflation.

Average hourly earnings growth has decelerated from the 8% peak in 2022 but remains near 4% year-over-year — well above the 2-2.5% pace consistent with 2% inflation. Core services inflation excluding shelter tracks wage growth with a short lag, reflecting the labor-intensive nature of services production.

The long-run relationship between wage growth and services inflation has historically been tight. Wage growth near 4% is inconsistent with services inflation returning to the 2% target. Either wages must cool further, or productivity growth must accelerate to absorb higher labor costs without passing them through to prices.

4.3 Shelter Stickiness: The Lag Problem

Shelter inflation — which accounts for roughly one-third of headline CPI — remains the single largest contributor to inflation persistence. But shelter inflation is misleading due to severe measurement lags.Private market data from Zillow (asking rents) and the BLS’s Rent of Primary Residence (RPR) survey show that new lease rents have cooled significantly — Zillow’s observed rent index has decelerated from 16% YoY to under 3% YoY.

CPI shelter lags private market data by 12-18 months due to the stock-flow problem—it measures rents across all existing leases, not just new lease signings. Most leases renew annually, so it takes time for cooler new lease growth to filter through to the aggregate index.

CPI shelter inflation peaked at 8.2% YoY in early 2023 and has since decelerated to ~4% YoY. But the pipeline suggests further deceleration ahead — CPI shelter should converge toward the 3% pace observed in private market data over the next 6-9 months.

This lag creates a persistent drag on measured inflation, even though the economics of housing inflation have already cooled. It’s a data artifact, not an economic reality.

4.4 Labor Market Slack: The Key Variable

The unemployment rate is the critical variable determining the speed of services disinflation.

The unemployment rate leads core services inflation by roughly 1 month, with a negative correlation of -0.38. Rising unemployment cools services inflation; falling unemployment heats it up. This Phillips curve relationship — dormant in the 2010s — has reasserted itself in the 2020s.

The scatter plot reveals the inverse relationship: services inflation peaks when unemployment troughs, and vice versa. Current unemployment near 4.2% is consistent with services inflation near 4% — not the 2% pace required for overall inflation to return to target.

For services inflation to reach 2%, unemployment likely needs to rise modestly toward 4.5-5.0%, creating enough labor market slack to cool wage pressures without triggering a recession. This is the narrow path the Fed is attempting to navigate — the “soft landing” scenario.

5. Policy at the Edge of Balance

5.1 The Fed’s Historic Tightening Cycle

The Fed’s 2022-2023 tightening campaign was the fastest since Paul Volcker’s tenure in the early 1980s.

The Fed hiked from the zero lower bound (0.05%) to a peak of 5.33% in just 16 months — the most aggressive pace of tightening in four decades. Real interest rates (adjusted for inflation) turned decisively positive, moving from deeply negative in 2021 to +2.0-2.5% by mid-2023.

This tightening has worked — inflation has decelerated from 9% to ~3%, and the labor market has cooled without collapsing. But the lag effects of monetary policy mean the full impact is still filtering through to the economy.

The Fed now faces a difficult balancing act:

• Ease too soon, and inflation revives — particularly if fiscal policy remains expansionary or external shocks (energy, geopolitics) reignite price pressures

• Stay too tight too long, and growth cracks — unemployment rises sharply, credit markets freeze, and the economy tips into recession

The market is pricing in a “soft landing” — inflation returns to target without a recession. But history suggests this is the lowest-probability outcome. Soft landings are rare; economic cycles typically end in either overheating (if policy eases prematurely) or recession (if policy stays restrictive too long).

5.2 Fiscal Constraints Tighten

Fiscal policy is tightening as well, though the mechanism differs from monetary policy. Rising interest rates have dramatically increased federal interest expense.

Interest expense as a percentage of GDP has surged from 1.5% in 2021 to over 3.5% by 2024 — the highest since the 1990s. With debt-to-GDP near 120%, every 100 basis points of higher rates adds roughly $300 billion in annual interest costs.

This tightening of fiscal space constrains future policy flexibility. If a recession arrives, fiscal policymakers will have less room to deploy large-scale stimulus programs like those in 2008-2009 or 2020-2021. The fiscal ammunition has been partially spent.

Moreover, higher interest costs crowd out discretionary spending unless lawmakers are willing to raise taxes or tolerate even higher deficits. This creates a binding fiscal constraint that wasn’t present in the 2010s, when near-zero rates made debt service trivially cheap.

6. Structural Undercurrents

6.1 Deglobalization and Supply Chain Restructuring

Trade flows are shifting. China’s share of U.S. imports has declined from a peak near 22% in 2017 to under 15% by 2024. Mexico has gained share, surpassing China as the largest source of U.S. imports in 2023. Vietnam, India, and other emerging markets have also captured share.

This reshuffling reflects strategic diversification — reducing reliance on any single supplier — and “friend-shoring” — shifting supply chains toward geopolitically aligned partners. The drivers include tariffs, export controls, supply chain resilience concerns, and national security considerations.

Deglobalization brings benefits: greater supply chain resilience, reduced geopolitical risk, and stronger domestic manufacturing employment. But it also carries a cost: modest near-term inflation. Reshoring production to higher-cost locations (Mexico vs. China, U.S. vs. Asia) raises input costs, at least during the transition period.

Over the long run, automation and productivity gains may offset these cost increases. But in the near term — the next 3-5 years — supply chain restructuring is a modest inflationary tailwind, not a disinflationary force.

6.2 Energy Transition: Inflationary in the Short Run

The global energy transition — from fossil fuels toward renewables and electrification — is resource-intensive and inflationary in the short run, even though it promises disinflationary abundance in the long run.

Building out renewable capacity requires massive up-front investment in metals (copper, lithium, nickel, cobalt), infrastructure (grids, storage, charging), and manufacturing capacity (solar panels, wind turbines, batteries). This demand surge raises input costs before the supply scales to meet it.

Copper prices, for example, have been supported by electrification demand — EVs use 3-4x more copper than internal combustion vehicles. Lithium prices surged 10x from 2020 to 2022 before collapsing in 2023 as new supply came online. These commodity price swings create inflation volatility.

Over the long run — perhaps 10-15 years out — the energy transition should prove disinflationary. Renewable energy has near-zero marginal costs once installed, creating abundant, cheap energy. But the transition itself, the process of building out that capacity, is inflationary.

6.3 Demographics: Structural Labor Market Tightness

Aging demographics create structural labor supply constraints, tightening labor markets and supporting wage growth even as the cycle cools.

Prime-age labor force participation (ages 25-54) has rebounded to near record highs, around 83.7%. But total labor force participation remains depressed near 62.3%, well below the pre-pandemic level of 63.4% and far below the 2000 peak of 67.3%.

The gap reflects aging demographics. Baby Boomers are retiring en masse, shrinking the labor force even as prime-age workers return. The structural decline in total participation reduces potential labor supply, keeping labor markets tighter than historical unemployment rates would suggest.

This demographic headwind is persistent — it doesn’t reverse cyclically. Even if unemployment rises modestly in a mild recession, the underlying labor supply constraint from aging demographics remains. This creates a structurally higher floor for wage growth, making it harder for inflation to return to the 2% target without sustained above-trend unemployment.

7. The Paths Ahead

Four plausible scenarios define the range of outcomes for inflation, policy, and markets over the next 12-24 months.

Scenario 1: Soft Landing

Inflation returns to the 2% target without a recession. The labor market cools gradually — unemployment rises modestly to 4.5%, wage growth decelerates to 3%, and services inflation follows suit. The Fed cuts rates back toward neutral (3.5-4.0%), real rates ease, and growth stabilizes near trend.

This is the market’s base case, priced into equities, credit, and rates. But soft landings are historically rare. The economy must thread a narrow needle — cooling just enough to bring inflation down, but not so much that it tips into recession.

Implications:

• Equities remain supported; risk assets stabilize

• Fed cuts gradually toward neutral (3.5-4.0%)

• Inflation settles near 2.0-2.5%

Scenario 2: Inflation Rekindling

Premature policy easing or new external shocks reignite inflation. Wage growth re-accelerates, services inflation stabilizes near 4%, and headline CPI rebounds above 3.5%. The Fed is forced to hike again or hold rates higher for longer than markets expect.

Catalysts could include: expansionary fiscal policy (tax cuts, spending increases), another energy shock (Middle East conflict escalation, OPEC+ supply cuts), or a sharp rebound in goods demand if monetary policy eases too quickly.

Tariff policy represents a particularly salient near-term risk. The incoming administration has signaled intentions to implement a 10-20% universal baseline tariff on all imports, with 60% rates on Chinese goods specifically. Historical pass-through analysis suggests 50-100% of tariff costs transmit to consumer prices depending on demand elasticity and competitive market structure. With U.S. imports totaling approximately $3.8 trillion annually and China still representing 13-15% of the total despite recent declines, broad-based tariff implementation could add 0.5-1.5 percentage points to goods CPI within 6-12 months of enactment. This would directly reverse the goods disinflation documented in Section 4.1, complicating the last mile considerably. The timing, magnitude, and sector-specific application remain uncertain—tariffs may serve as negotiating leverage rather than enacted policy—but the asymmetric risk skews toward goods inflation rekindling rather than further deflation. Retaliation from trading partners (EU, China countermeasures) could amplify the shock through exchange rate channels and supply chain disruptions.

Implications:

• Fed hikes or extends the restrictive stance

• Rates markets reprice higher

• Growth slows as policy stays tight; equities correct

Scenario 3: Hard Landing

Overtightening drives inflation below target and pushes unemployment sharply higher. The Fed has waited too long to ease, financial conditions tighten excessively, credit markets freeze, and the economy tips into recession. Unemployment rises to 5.5-6.0%, inflation undershoots 2%, and the Fed is forced into aggressive rate cuts.

This scenario reflects the historical pattern: the Fed rarely achieves soft landings. More often, it tightens until something breaks — either inflation reignites, or the economy collapses.

Implications:

• Recession; unemployment rises sharply

• Fed cuts aggressively toward zero

• Risk assets sell off; equities enter bear market

Scenario 4: New Normal — 3% Inflation Equilibrium

Inflation stabilizes near 3%, and markets gradually accept this as the new equilibrium. Structural forces — deglobalization, energy transition costs, demographic labor shortages — keep inflation persistently above the 2% target. The Fed adjusts its framework, implicitly tolerating 3% inflation rather than engineering a recession to hit 2%.

This outcome would require a fundamental repricing of policy expectations, bond yields, and equity valuations. Real rates would remain structurally higher, fiscal space would stay constrained, and asset prices would adjust to reflect the higher inflation regime.

Implications:

• Fed implicitly accepts 3% inflation

• Bond yields reprice higher; real rates stay elevated

• Equity multiples compress as discount rates rise

Market Consensus vs. Policymaker Signaling:

Markets are pricing Scenario 1 (soft landing) with 60-70% confidence. Policymakers signal caution, emphasizing “higher for longer” and data-dependence. The gap between market pricing and Fed rhetoric suggests either the market is too optimistic or the Fed will surprise with earlier cuts.

The tail risks — Scenarios 2 and 3 — remain material. Inflation rekindling or a hard landing recession are lower-probability but high-impact outcomes that could reshape the macro landscape.

8. Illumination and Uncertainty

The easy phase of disinflation is over. Goods prices have reversed from boom to deflation. Supply chains have healed. Energy shocks have faded. What remains — the last mile — is the hardest part.

Services inflation, shelter costs, wage pressures, and structural demographic constraints define this final stretch. Whether inflation returns to 2% or stabilizes near 3% will determine the trajectory of monetary policy, fiscal sustainability, and asset valuations for the next cycle.

The 2020s have shattered the assumptions that anchored the 2010s. Inflation is no longer a dormant relic — it has returned as the central constraint on policy and growth. The Phillips curve, dismissed as obsolete, has reasserted itself. Labor market slack matters again. Real rates are positive, not negative. Fiscal space is limited, not abundant.

Policymakers are attempting an unprecedented feat: engineer a soft landing after the fastest tightening cycle in 40 years, against a backdrop of structural inflation pressures from deglobalization, energy transition, and aging demographics. History suggests this is a low-probability outcome, but it’s not impossible.

Markets have priced in the optimistic scenario. The key question for investors: is that consensus correct, or is the market underestimating the difficulty of the last mile?

Final Takeaways:

• Goods disinflation is complete; services and wages dominate the last mile

• Inflation near 3% vs. 2% reshapes the entire policy and market landscape

• The last mile is the hardest mile — and the outcome remains uncertain

See you tomorrow for the first edition of The Beam.

Lighthouse Macro | Macro, Illuminated.

Disclaimer: This report is for informational and educational purposes only and does not constitute financial advice. The views expressed are those of the author and do not necessarily reflect the views of Lighthouse Macro or its affiliates. Past performance is not indicative of future results. All investments carry risk, including possible loss of principal. Readers should conduct their own research and consult with qualified financial advisors before making investment decisions.

About Lighthouse Macro

Lighthouse Macro provides institutional-quality macroeconomic research and cross-asset market analysis for hedge funds, CIOs, central bankers, and sophisticated retail traders. Founded by Bob Sheehan, CFA, CMT, our research bridges the gap between academic rigor and practical trading insights.

Our approach integrates:

• Macroeconomic Analysis: Growth, inflation, labor, capital flows

• Monetary Mechanics: Central bank policy, credit cycles, liquidity

• Market Technicals: Price structure, positioning, sentiment

• Cross-Asset Dynamics: Rates, credit, FX, equities, commodities, crypto

We treat macro variables as interconnected feedback loops, not isolated silos — balancing an economist’s structural lens with a trader’s focus on price expression and risk/reward asymmetries.

Publishing Schedule:

• Sundays: The Beacon (deep dives on major macro themes)

• Tuesdays & Thursdays: The Beam (concise chart-led insights)

• Fridays: The Chartbook (weekly data and market summary)

• First Monday of Each Month: The Horizon (forward-looking cross-asset outlook)

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• Website: Lighthouse Macro

• Twitter/X: @LHMacro

Macro, Illuminated.

Supply and Capacity: The Long End’s Fundamental Problem

The starting point for any discussion of the Treasury market is the sheer scale of issuance. Since the pandemic the U.S. government has dramatically increased coupon issuance to finance fiscal deficits, while the Federal Reserve has wound down its own holdings through quantitative tightening. This combination means that net supply has outpaced the natural absorptive capacity of the traditional dealers who intermediate auctions. One way to visualise this imbalance is to index the growth of total Treasury debt outstanding against the growth of dealer balance‑sheet holdings. In the chart below, both series are normalised to 100 in 2019. By mid‑2025 the outstanding stock of Treasury securities has risen to roughly 275 on the index, whereas dealer holdings have only climbed to around 175. The gap confirms that supply has outpaced dealer capacity, creating a structural imbalance that pressures long-end yields. The only offset would be stronger end demand or regulatory relief. Dealers are required to warehouse bonds between auctions and end investors; when their leverage constraints tighten, they demand higher yields to compensate for the balance‑sheet “rent.”

Auction read-through, anchored to the latest prints. September’s refunding run made the split personality explicit. Bills continued to clear smoothly around 3.7–4.3% investment rates, but long duration still required price. The 20-year on September 2 cleared at 4.876%, and the 30-year reopening on September 15 needed 4.651% to move—an improvement on August’s weak 30-year new issue (4.813%, 2.27× bid-to-cover, soft end-user demand), yet still consistent with a market that asks the long end to pay liquidity rent when dealer headroom is thin. The chart below shows recent 20y/30y high yields and coverage, and the companion bills panel shows September bill investment rates clustering near 3.7–4.3%.

Dealer allotments have been creeping higher relative to indirect and direct bidders, and coverage ratios have drifted lower, particularly for longer maturities. The next two charts illustrate these microstructure dynamics. The first shows how bid‑to‑cover ratios have deteriorated across maturities over the past five quarters: shorter‑dated notes still receive around 2.4× coverage, whereas 10‑ and 30‑year auctions have slipped closer to 2.2× or below. The second plots the percentage of each auction allocated to primary dealers for 10‑year notes and 30‑year bonds. Anything above the dashed 20 % line is historically rare and indicates that dealers are absorbing supply under stress, often because other buyers demand larger concessions.

Finally, the supply–demand equilibrium chart summarises the macro picture for the next several quarters. Projected net issuance remains above half a trillion dollars per quarter through 2025, while dealer capacity, foreign demand, stablecoin demand and domestic institutional demand combined fall short of fully absorbing that supply. Even if the estimates for new buyers prove conservative, the imbalance suggests that auctions will need to clear at higher yields to entice marginal buyers. Use this as an illustration rather than a precise forecast, and note that the demand figures for stablecoins and domestic institutions are approximate.

Plumbing and Balance‑Sheet Costs

Even though supply is heavy, the front end of the yield curve has looked almost serene. Bills trade rich to overnight funding rates, repo markets are orderly and there are few signs of funding stress. Why, then, is the long end so volatile? One answer lies in the cost of balance sheet, which manifests most clearly in repo markets. The next chart plots a cross‑market Treasury repo spread—a measure of the extra basis points paid by borrowers when they cannot net exposures and must use additional balance sheet. During the 2020 SLR relief period the spread fell to around 4 basis points; today it averages nearer 7 basis points, signalling that the cost of warehousing Treasuries has risen permanently. Spikes in the spread correspond to periods of funding stress (e.g., September 2019, March 2020) when balance‑sheet capacity is severely constrained.

The Supplementary Leverage Ratio (SLR) is the regulatory constraint that determines how much leverage banks can take on relative to their capital. Primary dealers disclose their SLRs quarterly; most large banks currently operate between 5.5 % and 6.2 %, comfortably above the 4 % minimum but with limited headroom. The heat map below compares each dealer’s reported SLR to the minimum and highlights the available headroom. Goldman Sachs and Morgan Stanley sit near the top of the range at around 6 %, while Citi and Wells Fargo have slightly more room but still only about 1.5–2 percentage points of cushion. If regulators tighten the ratio or if balance sheets expand rapidly, dealers may be forced to shed positions or demand higher yields.

Funding and collateral availability also depend on the Treasury General Account (TGA) and the Federal Reserve’s overnight reverse repo facility (ON RRP). When the TGA rises (the Treasury is building cash) and the ON RRP drains (money market funds shift out of RRP into bills and repo), collateral becomes scarce and bills richen relative to the Secured Overnight Financing Rate (SOFR). Conversely, when the TGA is drawn down and ON RRP usage rises, collateral cheapens. The next chart shows TGA balances (blue line) and ON RRP usage (orange line) through 2025. The two series have moved in opposite directions: as the Treasury rebuilt its cash balance in mid‑2025, ON RRP usage fell sharply. This collateral seesaw is a key driver of front‑end spreads and supports the bill‑rich narrative.

Stablecoins: A New Source of Front‑End Demand

Perhaps the most novel development in the Treasury market over the past few years has been the rise of stablecoins. These digital tokens are pegged to the U.S. dollar and backed by reserves of cash, Treasury bills and repo agreements. According to executives at State Street Global Advisors and other market participants, about 80 % of the stablecoin market is invested in T‑bills or repos. With the stablecoin market valued at roughly $256 billion, that translates to about $200 billion of demand for front‑end Treasuries. Tether, the largest issuer, has reported holding more than $120 billion in U.S. Treasuries. While still small relative to the $27 trillion Treasury market, stablecoin demand is growing quickly enough to rewire bill–SOFR spreads. The only caveat is that regulation or a crypto drawdown could slow this trajectory.

The stacked bar chart below shows how stablecoin holdings in Treasuries have expanded over the past six quarters. Tether’s reserves have increased from just under $100 billion in Q1 2024 to around $125 billion by Q3 2025, while USDC (Circle) has grown from roughly $40 billion to about $60 billion. Other issuers contribute another $10–15 billion. As the market capitalization of stablecoins grows and regulation provides more clarity, issuers are likely to hold even more short‑term Treasuries, further compressing bill spreads and adding a new layer of pro‑cyclicality: during a crypto sell‑off stablecoin redemptions could withdraw collateral from the system and widen repo spreads.

The relationship between stablecoin growth and bill richness also shows up in market spreads. Rising stablecoin supply correlates with tighter bill–SOFR spreads, because more shadow‑cash buyers chase a limited pool of collateral. Conversely, when stablecoin issuance plateaus or redemptions occur, the bill–SOFR spread can widen abruptly. Although the daily data are noisy, the broader trend underscores that the front end has become sensitive to crypto flows rather than traditional money‑market mechanics.

Foreign Demand: Shifting Patterns and Lumpy Flows

While domestic factors drive day‑to‑day auction dynamics, foreign investors remain the largest holders of U.S. Treasuries. According to the Treasury’s June 2025 TIC data, Japan is by far the biggest non‑U.S. holder with about $1.135 trillion in Treasuries. The United Kingdom has moved into the number two spot with roughly $809 billion, overtaking China, which cut its holdings to around $756 billion, the lowest since 2009. The UK is largely a custody jurisdiction for hedge funds, so its ranking is more reflective of global risk appetite than domestic UK demand. Canada, Belgium and France also hold substantial amounts, while Ireland and Luxembourg host large investment vehicles. The bar chart below summarises these holdings. It underscores how concentrated foreign ownership is at the top—Japan and the UK together hold nearly $2 trillion—while the next tier of countries are in the $300–400 billion range.

Not only have holdings shifted but flows have been extraordinarily volatile. The next chart breaks down net monthly purchases of Treasuries by foreign official institutions (blue bars) and foreign private investors (orange bars). After solid inflows in January and February 2025, March saw a surge of more than $250 billion in official buying and roughly $150 billion in private buying. April then produced outright selling, followed by moderate inflows in May. These swings remind us that foreign demand is highly sensitive to macro events like trade policy, currency hedging costs and the relative attractiveness of U.S. yields.

Within the foreign demand story the race between China and Japan warrants special attention. The line chart below plots their holdings from 2019 to 2025. China’s holdings have fallen steadily from over $1.3 trillion to below $800 billion as Beijing reduces exposure to U.S. debt. Japan’s holdings, by contrast, have held around the $1.1–$1.2 trillion range and even edged higher in 2025. The divergence reflects different macro policies: Japan continues to recycle trade surpluses into Treasuries, whereas China is diversifying away from dollar assets. This divergence matters because it reduces the pool of price‑insensitive buyers and amplifies the importance of marginal demand from hedge funds, stablecoins and domestic institutions.

Valuation Anchors: Real Yields and Term Premium

Even as supply and plumbing issues dominate the narrative, one cannot ignore the valuation anchor: real yields and inflation expectations. The 10‑year TIPS yield—a measure of the real rate—has oscillated between 1.8 % and 2.1 % over the past year, hovering near multi‑decade highs. Forward inflation expectations, measured by the 5‑year/5‑year forward rate, have remained remarkably stable around 2.3–2.4 %. The chart below shows these two series; note the stability of inflation expectations even as real yields have drifted lower after peaking in mid‑2024.

With real yields high and inflation expectations anchored, the term premium is the residual component of the nominal yield. The decomposition chart illustrates this breakdown: out of a roughly 5 % 10‑year yield in mid‑2025, about 2.15 percentage points are real (TIPS), 2.4 percentage points reflect expected inflation, and only around 0.7 percentage points represent term premium. This implies that long‑end yields are primarily a function of macro fundamentals—growth and inflation—rather than risk premium. However, should growth surprise to the downside or the Federal Reserve signal a dovish pivot, real yields could decline quickly, allowing the curve to bull‑flatten. Conversely, sticky inflation or renewed fiscal stimulus could push the term premium higher.

Yield Curve Dynamics: Inversion and Re‑steepening

The 2‑year/10‑year spread is one of the most watched indicators in macro. The yield curve inverted in mid‑2022 as the Federal Reserve aggressively raised policy rates while long‑term yields remained anchored by low real rates and subdued inflation expectations. By late 2023 the curve was deeply inverted, with 10‑year yields more than 100 basis points below 2‑year yields. However, as inflation proved sticky and the market priced fewer rate cuts, the curve began to steepen, turning positive again in mid‑2025. The next chart traces this journey. Red shading highlights the inverted period, while green shading marks the return to a positive slope. The swift un‑inversion underscores the sensitivity of the long end to macro expectations and supports the case for a bear‑steepening bias: even modest shifts in policy expectations can produce sizeable moves in the 10‑year relative to the 2‑year.

Tying It Together: Base Case, Risks and Invalidation

Putting all of these pieces together yields a coherent narrative for the months ahead.

Base case – Bear‑steepening bias:

• Heavy supply: Net issuance remains elevated while dealer balance sheets lag.

• Balance‑sheet rent: Repo spreads have normalised higher, and SLR headroom is limited.

• Auction stress: Bid‑to‑cover ratios and dealer allotments signal a regime of frequent tails.

• Stable demand for bills: Stablecoins, money funds and front‑end collateral scarcity keep bills rich versus SOFR.

• Valuation anchor: Real yields are high but not extreme; inflation expectations are stable, and term premium is modest.

• Curve bias: The 2s10s curve has re‑steepened but remains sensitive to policy expectations; the bias is for further steepening as the long end clears with concessions, unless auction internals improve meaningfully or balance-sheet costs ease..

Key risks – Stress scenario:

• Plumbing shock: A sharp drawdown in crypto markets could trigger stablecoin redemptions; issuers would sell T‑bills and withdraw cash from repo, widening spreads and forcing the front end to cheapen.

• Dealer capacity exhaustion: A heavy month of coupon supply combined with no improvement in auction internals (bid‑to‑cover < 2.3×, dealer allotments > 20 %) could push long‑end yields sharply higher and widen on/off‑the‑run spreads.

• Regulatory tightening: If U.S. regulators raise SLR requirements or fail to renew relief measures, dealers will reduce Treasury holdings, raising balance‑sheet rents.

• Foreign selling: Renewed trade tensions or higher hedging costs could prompt Asia to reduce Treasury exposure. A sustained drop in Japanese or Chinese holdings would remove a key inelastic buyer and force yields higher.

• Cross‑asset volatility: Episodes of high bitcoin or equity volatility can spill over into Treasuries via stablecoin reserves, causing repo spreads and rate volatility to rise in tandem. Because crypto reserves sit in Treasuries, a crypto sell‑off is now a transmission channel.

Invalidation – Benign path:

• Improving auction internals: A string of solid auctions (bid‑to‑cover > 2.5×, smaller tails, higher indirect participation) would signal that end demand is catching up with supply.

• Easing balance‑sheet constraints: If the Fed introduces a permanent standing repo facility or dealers receive targeted SLR relief, repo spreads could compress and the long end could rally.

• Stablecoin plateau: A slowdown in stablecoin growth or a regulatory cap on their Treasury holdings could reduce bill demand and cheapen the front end relative to SOFR.

• Soft landing: Weaker growth and cooling inflation would lower real yields and flatten the curve.

Conclusion

The U.S. Treasury market’s veneer of stability masks a complicated and fragile equilibrium. Bills look rich because there is a growing class of collateral‑driven buyers—money funds, stablecoins, corporate treasurers—coupled with scarce collateral created by TGA rebuilding and ON RRP drawdowns. The long end looks stressed because supply is heavy, dealers are near their capacity constraints and price‑insensitive foreign demand is slowly eroding. Real yields remain high, but term premium is modest and the curve’s re‑steepening tells us that macro risks are being repriced quickly.

For macro investors the path forward is clear but fraught. Stay positioned for bear steepening—higher long‑end yields relative to the front end—as long as auction internals remain soft and dealer capacity tight. Monitor the watch‑list signals: T‑bill spreads relative to SOFR, bid‑to‑cover ratios and dealer allotments, repo specialness and fails, stablecoin supply growth, foreign capital flows and cross‑asset volatility (e.g., crypto vol and equity‑vol correlations). If three or more of these dials lean stressed, default to a steepener bias and consider owning convexity into supply; if three lean benign, fade liquidity premia and give duration the benefit of the doubt. Ultimately, the Treasury market’s plumbing is the transmission mechanism for macro policy, fiscal deficits and global capital flows. Understanding its nuances—through data, charts and a clear framework—allows investors to navigate a landscape that is seemingly stable on the surface but systemically stressed underneath.

U.S. Treasuries have long served as the ultimate safe-haven asset and global collateral benchmark. But deep, structural shifts are undermining their foundation — including a retreat by foreign central banks, saturated dealer balance sheets, and an influx of price-sensitive, crypto-linked buyers.

1. Demand Composition: The Decline of the Inelastic Buyer

Foreign central banks’ share of Treasury holdings has dropped from 33% to 25%, replaced by domestic banks, dealers, and notably, stablecoin issuers — now 6% of the market. Unlike traditional buyers, stablecoin demand is tethered to volatile crypto flows, introducing procyclicality and liquidation risk.

2. Dealer Constraints: Capacity Nearing the Limit

SLR utilization for primary dealers is at 95%. This regulatory ceiling means dealers are losing their ability to absorb issuance and provide liquidity — a key fragility in auction dynamics and secondary markets.

3. Tailing Auctions: A Warning Sign

The percentage of Treasury auctions tailing has climbed from 15% to 35%. This suggests structural demand weakness and growing difficulty in clearing supply without yield concessions.

4. Term Premium Repricing

A growing correlation between stablecoin T-bill holdings and the 10Y term premium indicates a bifurcated curve: short-end yields are suppressed by crypto demand, while the long end requires elevated risk premiums.

5. Front-End Strength, Back-End Erosion

Bid-to-cover ratios remain robust for T-bills (~3.2x) but are weakening for bonds (~2.4x). This divergence hides long-term risk beneath short-term strength — a fragile equilibrium.

6. Stablecoins: The New Marginal Buyer

Stablecoin holdings now represent an estimated 3.0% of global T-bill demand, a rapidly growing segment absorbing short-term issuance but also contributing to collateral scarcity dynamics.

7. Collateral Stress Resembling 2019

The Collateral Shortage Index has surged from 30 to 80 — echoing the mechanics that led to the 2019 repo crisis. It’s not credit risk this time, but pure mechanical dysfunction driven by balance sheet constraints.

8. Repo Rates Linked to Crypto Flows

Stablecoin redemptions now affect repo spreads. A large unwind in the crypto market could forcibly remove collateral from the system, tightening funding markets almost instantly.

9. Volatility Spillover from Bitcoin to Bonds

Bitcoin’s 80% volatility now has a transmission path to Treasuries via stablecoin reserves. What happens in crypto no longer stays in crypto.

10. A Widening Structural Imbalance

Treasury issuance is projected to far outpace “natural” demand. That means increasing reliance on yield-sensitive buyers — with higher volatility and borrowing costs baked in.

11. Curve Inversion and Volatility: Signal or Noise?

As shown in the chart below, curve steepness (10Y-3M) has an increasingly inverse correlation with the VIX. Bond investors are leaning on equity vol signals — suggesting the term structure is pricing in risk offflows.

12. Collateral Richness and Front-End Arbitrage

The 3M Bill – SOFR spread has become volatile as front-end arbitrage opportunities widen. This reflects both elevated collateral demand and shifting Fed facility usage.

13. Reserve Scarcity: The QT Pressure Point

The Fed’s balance sheet run-off has drained reserves — tightening interbank funding, stressing ON RRP usage, and driving up SOFR. These constraints increasingly interact with Treasury liquidity.

14. Stablecoin Supply vs T-Bill Richness (3M Bill – SOFR Spread)

Rising stablecoin supply correlates with richer T-bill pricing vs SOFR. Crypto-driven collateral demand is tightening front-end spreads, creating arbitrage pressures and distorting money market benchmarks.

15. Tailing Treasury Auctions vs Dealer Balance Sheet Utilization

Auction tails are rising alongside stretched dealer capacity (SLR ~100%). Dealer constraints are no longer cyclical — they’re structural, impairing the Treasury market’s ability to clear supply smoothly.

Conclusion: A New Collateral Regime Has Arrived

We are no longer in a world where Treasuries are anchored by price-insensitive sovereigns and deep dealer balance sheets. The new Treasury buyer base is fractured, fast-moving, and procyclical. The result is a system prone to episodic dysfunction, amplified by macro volatility and crypto feedback loops. Collateral fragility is no longer theoretical — it’s visible in every corner of the funding market.

The Changing Face of Treasury Demand

The composition of Treasury buyers has undergone a dramatic transformation. Foreign central banks, once the reliable backbone of demand, have seen their market share decline from 45% in 2020 to just 28% today. This retreat has forced domestic banks and primary dealers to fill the gap, with banks increasing their holdings from 20% to 35% and dealers rising from 15% to 25%.

These aren't natural buyers—they're intermediaries being forced to warehouse risk they don't want. The August 6 auction results tell the story: bid-to-cover ratios at 2.32x, foreign demand at 63.8% (down from historical averages near 70%), and dealers forced to absorb 16.8% of the issuance.

Dealer Constraints Approaching Breaking Point

Primary dealer inventory has surged to $120 billion, placing it at the 96th percentile historically. With Supplementary Leverage Ratio (SLR) constraints binding, dealers are operating at 96% of their regulatory ceiling. Our dealer accumulation momentum indicator shows sustained, rapid accumulation throughout 2024-25, with short-term accumulation consistently exceeding long-term trends—a classic sign that dealers are absorbing inventory faster than they can distribute it.

When dealers can't warehouse bonds, auctions fail or yields spike—sometimes both. The stress is already visible: 45% of 2025 auctions have tailed, signaling persistent weakness in long-end demand.

The Bill-Bond Divergence

The contrast between the short and long ends of the curve reveals the technical versus fundamental nature of current demand. T-bill auctions remain well-bid with 3.4x coverage ratios, driven by collateral needs and the rise of stablecoin issuers who now hold over $180 billion in T-bills (with Tether alone accounting for $125 billion).

But 10-year note auctions are deteriorating, with bid-to-cover falling to 2.32x. The front end is strong for technical reasons—regulatory requirements and crypto backing needs. The long end is weak for fundamental ones—a genuine lack of natural buyers at current yield levels.

Supply Surge Meets Constrained Demand

The Treasury's issuance calendar compounds these problems. Net issuance will reach $1.5 trillion in H2 2025, with quarterly totals rising from $700 billion to $800 billion. This supply surge comes precisely when traditional buyers are retreating and intermediaries are constrained.

Our stress dashboard shows 3 of 4 metrics flashing red:

* 45% of auctions tailing

* Foreign demand at multi-year lows (63.8%)

* Dealer capacity at 96%

* Only funding stress remains manageable at 30%

The convergence of these warning signals with $1.5 trillion in upcoming issuance suggests the market's ability to absorb supply without significant yield concessions is increasingly questionable.

Stress Scenarios and Market Impact

If foreign demand continues declining and dealers hit capacity constraints, our models suggest 10-year yields could reach 4.75%-5.00%. In a severe scenario with forced selling, yields could spike above 5%. The curve would bear-steepen violently, with long rates rising faster than short rates.

The Fed faces an impossible choice. Cutting rates risks stoking inflation fears that drive long yields higher. Holding steady means watching dealers and banks struggle under the weight of inventory. Either path leads to stress, making continued long-end weakness the highest conviction outcome regardless of Fed policy.

The New Reality

The real risk is that weak auctions become routine and markets stop treating Treasuries as the world's safest asset. Once that perception shifts, there's no easy way back. The August 6 1.125bp tail may be remembered as the canary in the coal mine—the first clear signal that the perpetual bid for U.S. debt is breaking down.

Treasury markets are transitioning from an era of abundant natural demand to one of constrained intermediation. Investors should prepare for:

• Structurally higher volatility

• Wider bid-ask spreads

• Periodic dislocations

• Reduced liquidity at tight spreads

The days of assuming infinite liquidity at tight spreads are over. Position accordingly.

Source: Lighthouse Macro

The yellow metal has long been considered a safe haven asset, and has handily outperformed stocks to start the year. Given the outperformance, some investors may be wary of buying after such a run, so we asked: how does Gold perform after reaching new all-time highs? Conventional wisdom might suggest that buying at peak prices is risky, but our analysis reveals a different story for gold. In this report, we examine gold's historical performance following new ATHs to provide investors with data-driven insights.

Members research. Read the full piece at https://lighthousemacro.com/research/bullion-brilliance.html or open it in Pharos.

Members research. Read the full piece at https://lighthousemacro.com/research/the-vanishing-job-hopper-premium.html or open it in Pharos.

The relationship between the Federal Funds Rate and Core PCE inflation reflects the challenging balance between managing inflation and maintaining economic stability. Since 2022, the Fed's aggressive rate hikes were partly necessitated by supply chain disruptions and trade-related price pressures, though their impact on bilateral trade flows has been less straightforward than anticipated. The persistence of elevated Core PCE levels, despite monetary tightening, suggests structural factors in the US-China trade relationship continue to influence domestic price dynamics in ways that traditional monetary tools struggle to address.

Commodity markets have emerged as a crucial battleground in this economic relationship. Figure 2 reveals a striking divergence between domestic and import prices since 2020, reflecting the complex interplay of tariff policies, supply chain restructuring, and strategic competition between the world's two largest economies.

The higher volatility in domestic producer prices compared to import prices suggests that U.S. businesses have been absorbing significant cost pressures, potentially affecting their competitive position and investment decisions. This price divergence also highlights the incomplete success of policies aimed at reducing U.S. dependence on Chinese imports. While some sectors have achieved meaningful supply chain diversification, the persistent price differentials indicate that finding cost-effective alternatives remains challenging for many industries, underscoring the deep integration of Chinese manufacturing in global supply networks.

Currency market dynamics, shown in Figure 3, provide crucial insights into the evolving trade relationship. The interplay between the US Dollar Index and the USD/CNY exchange rate reflects both policy choices and market forces.

Members research. Read the full piece at https://lighthousemacro.com/research/navigating-trade-tensions.html or open it in Pharos.

The following was originally published in the Weekly Observations report for Strom Capital Management which was sent to clients last week. I wanted to give you all the chance to read it as well. Enjoy!

The U.S. housing market stands at a critical juncture in early 2025, with mounting evidence suggesting we are entering a period of significant transition. Recent data paints a picture of a market that has meaningfully shifting away from the seller-favorable conditions that have dominated recent years. This evolution brings both challenges and opportunities for various market participants, requiring a nuanced understanding of the changing dynamics.

The traditional metrics we use to evaluate housing market health are sending mixed signals, creating a complex narrative that deserves careful analysis. While nominal home prices have shown remarkable resilience, maintaining levels near historic highs, this surface-level stability masks deeper structural changes occurring in the market. The combination of elevated mortgage rates and high home prices has fundamentally altered the affordability equation for many potential buyers, creating ripple effects throughout the housing ecosystem.

Additionally, with home prices and mortgage rates at such elevated levels, we’ve also seen this take a toll on affordability, which continues to remain near all-time lows.

On top of that, the cost of home ownership compared to renting, though down slightly from 2022 highs, remains significantly above the historical average.

Members research. Read the full piece at https://lighthousemacro.com/research/the-us-housing-market-in-2025.html or open it in Pharos.

The digital transformation of retail continues unabated, with e-commerce ("nonstore retailers") now commanding more than 16% of total sales – more than doubling its piece of the pie compared to a decade ago, even after normalizing the COVID bump.

Diving deeper into the inflation narrative, we're witnessing a story of gradual but uneven improvement. While we've moved well past the acute phase of 2022, service sector inflation (excluding shelter) continues to run hot at around 4%.

The divergence in inflation components tells a complex story. While core inflation has shown signs of moderation, food and energy prices continue to exhibit significant volatility, creating challenges for both policymakers and consumers. The Atlanta Fed's sticky price measure and other core metrics like the median CPI at 4% and trimmed mean CPI at 3.2%, are suggesting a slower journey toward the Fed's 2% target.

Members research. Read the full piece at https://lighthousemacro.com/research/new-year-new-paradigms.html or open it in Pharos.

Executive Summary

The story of 2024 was one of resilience in the face of unprecedented monetary tightening. As we enter 2025, the U.S. economy presents a complex picture of resilience masking underlying vulnerabilities:

Let’s dive in.

Members research. Read the full piece at https://lighthousemacro.com/research/cracks-beneath-the-surface.html or open it in Pharos.

The NDRC is the agency that worked out the specifics of Beijing's monumental 4 trillion yuan (equivalent to $586 billion) infrastructure investment plan back in 2008. . This time, however, the funding only came to 200 billion yuan, falling significantly short of analysts’ estimates for the projected fiscal package to be nearly 3 trillion yuan.

Investors did not react well to the shortfall sending Off-Shore Chinese equities spiraling. The Hang Seng Index fell 9.41% in trading earlier this morning. This is the worst day since October 2008 & one of the worst in the index's history. The move marked a -6(!!) StDev move.

This massive selloff comes immediately on the back of what had been a nearly 30% run up for Chinese equities in just the prior two weeks. In fact, Chinese stocks had outperformed the rest of Emerging Markets by +6StDev over that time… Successive moves of this magnitude are a sign to us, at least, that the market is best avoided until the more structural issues are resolved.

That said, many others are more confident in Emerging Markets. In fact, just last week we witnessed the 2nd largest weekly inflow to EM equity funds ever.

However, as the kind of move we had seen from Chinese stocks tends to catch investors’ eyes, we felt that it more likely that it was not broad EM that appealed to investors. More likely was that the flashy returns of late was taken by some as the “all-clear” sign in the ongoing debate over China’s current invest-ability. Upon looking into the flows more granularly, we can see that was indeed the case.

Members research. Read the full piece at https://lighthousemacro.com/research/chaos-in-china.html or open it in Pharos.

While this chart the above chart is telling, it’s important for our process we don’t cherry pick one data point or number to formulate our view. Particularly when numbers can be revised, such as the massive revision to the NFP data announced a few weeks ago (followed by another weak report). Unfortunately, however, the majority of the recent labor market data IS getting weaker, and will in turn only become a bigger drag on growth from here. Over the past few weeks, several key reports posted well below consensus expectations and, a few even had their lowest numbers in years or decades.

Job Openings have been falling since March 2022. Moreover, the pace at which openings have declined is already at levels only seen in the middle of a recession and has been for some time.

The Challenger data was disappointing as well, as US employers announced 75,891 job cuts in August 2024, the most in five months, and the most for the month of August since 2009 when excluding the pandemic-induced crash in 2020. Additionally, US employers announced plans to hire 6,101 workers in August, compared to 3,676 in July which was the lowest total for July since records began in 2009.

The ADP Employment Change data was more of the same, showing that Private businesses in the US added 99K workers to their payrolls in August 2024, the lowest number since January 2021, following a downwardly revised 111K in July and well below forecasts of 145K. Figures showed the labor market continued to cool for the fifth straight month while wage growth was stable.

Although the overall unemployment rate actually decreased (due to the reversal of temporary layoffs), there's been a significant increase in the number of people working part-time due to economic reasons for the second month in a row. Consequently, this trend is pushing up the broader measure of unemployment, known as the U6 rate, which has now risen to a new high of 7.9%, indicating rising underemployment.x

Members research. Read the full piece at https://lighthousemacro.com/research/labor-woes-growth-slows.html or open it in Pharos.

Members research. Read the full piece at https://lighthousemacro.com/research/monetary-monday.html or open it in Pharos.

In today’s complex financial landscape, relying on data over listening to the noise is crucial. My approach at Lighthouse Macro is to strip away conjecture and focus on clear, actionable insights derived from robust data. This commitment to a disciplined investment strategy allows for intellectual flexibility, enabling timely adjustments when the data calls for a change in thinking.

With over 7 years of experience in the financial services industry, I have specialized in Portfolio Management and Investment Research for Equity and Multi-Asset Portfolios. As a dual CMT and CFA charterholder, I have a strong affinity for applying a multidisciplinary approach to the investment process.

Currently, I am pursuing a scholarship opportunity in an intensive Data Science program. This program will allow me to delve deep into essential data tools, cutting-edge analytical techniques, and machine learning algorithms that power decision-making in our digital era.

I’m excited to begin sharing more charts and insights with all of you as I continue to merge my passion for markets and data.

Members research. Read the full piece at https://lighthousemacro.com/research/welcome-to-lighthouse-macro.html or open it in Pharos.

In the near term, we expect Gold to continue correcting as it cools off following a sustained period of strength. Recent momentum for the precious metal reached over 2 standard deviations from the mean, often a precursor to pullbacks.

However, the longer-term outlook for gold remains favorable due to sustained purchases by Global Central banks. Following significant acquisitions in 2022 and 2023, Central Banks achieved a new quarterly record in Q1 of this year.

The Dollar, currently overvalued, is anticipated to regress toward the mean in the second half of the year. This adjustment process may take time, given potential support from cyclical growth in the U.S. compared to other global economies. Nonetheless, further upside for the Dollar appears limited. As growth and interest rates moderate, particularly with anticipated Fed rate hikes toward year-end, the Dollar's strength should diminish.

Considering the above dynamics, the normalization of this historical relationship is likely to occur through a decline in Yields. While a rate hike is no longer as imminent as previously anticipated, markets are currently pricing in the first Fed cut to occur in September of this year. This expectation should cap the upside for yields in the interim, as investors pivot towards bonds to secure higher yields before anticipated rate reductions by Powell & Co. thru year-end.

Members research. Read the full piece at https://lighthousemacro.com/research/the-dollar-vs-gold-and-real-yields.html or open it in Pharos.