Gasoline at $5: The Liquidity Map Crypto Actually Trades Against
1. A Number With No Model
The strategist handed the market one number and no model. Gasoline, five dollars a gallon, before the midterms. No distribution. No confidence interval. No named source. No methodology, no stated base case, no historical hit rate — a single sentence, relayed through a headline, then republished across terminals as though a price target carried the same information content as a price mechanism.
I want to take it seriously anyway. Not because the forecast is good. Because of what it implies about the asset class I actually manage.
If United States retail gasoline genuinely clears five dollars and holds there into November, then the binding constraint on every position in my book stops being the Fed's dot plot. It becomes the price board at roughly 120,000 American filling stations, refreshed daily, read by the same people who vote, in a year when they vote on a fixed calendar.
That is a strange sentence to write in a research note about Bitcoin. It is also, in the framework I have used since 2022, the correct one.
Here is the falsifiable premise of this piece. Crypto does not trade against narratives. It trades against the discount rate, and the discount rate through 2022 was set — indirectly, awkwardly, but decisively — by the price of a hydrocarbon. If gasoline is the most politically visible price in the economy, and if political visibility feeds directly into the inflation expectations a central bank is trying to anchor, then a five-dollar print at the pump is not an energy story at all. It is a liquidity story wearing an energy costume. And crypto is the most liquidity-sensitive asset class ever listed on a public exchange.
Everything below is either arithmetically checkable or explicitly labeled as inference. I have kept that distinction clean, because the source material did not. The source gave me two data points, both subjective, both unattributed: a five-dollar forecast, and a claim that this would hurt consumers and voters. The rest of this article is the map I would have drawn around that sentence if I had been the one asked to price it.
2. The Liquidity Map
To price anything in 2022 you needed four variables, and only four. Everything else was commentary.
Variable one: the energy complex. Brent crude crossed $120 a barrel in the first half of 2022. West Texas Intermediate traded in the same neighborhood. The US national average for regular gasoline, per AAA's daily survey, printed just above $5.01 in mid-June 2022 — the first time in history it had crossed that line. Diesel was worse, above $5.80, and diesel is the industrial input that moves freight, harvests crops, and hauls the equipment that builds everything else.
Variable two: the reaction function. The Federal Reserve had been behind the curve and knew it. The FOMC delivered 75 basis points in June 2022, 75 in July, 75 in September, 75 again in November. That cadence had not been seen since the Volcker era.
Variable three: the fiscal plumbing. The Treasury General Account, the government's checking account at the Fed, started 2022 near $1.0 trillion and was drawn down through the year. The Strategic Petroleum Reserve was tapped in the largest release in its history — 180 million barrels announced at the end of March 2022, roughly one million barrels a day for six months. Both operations move bank reserves around the system. Both are liquidity events before they are anything else.
Variable four: the dollar. The trade-weighted dollar index ran to a two-decade high. This is the part most people get backwards. In a supply-shock inflation regime, the dollar and oil rise together. The currency of the country importing the shock strengthens because the Fed is forced to tighten harder than anyone else, and because the world's reserve currency is the only place deep enough to hide.
Now place crypto inside that map. By mid-2022 the 90-day correlation between Bitcoin and the Nasdaq-100 was running in the neighborhood of 0.9 — the highest reading on record, and it held there. Bitcoin's drawdown from its November 2021 high to its November 2022 low was roughly 77%. The total stablecoin float, which peaked around $185 billion in the spring of 2022, contracted by more than 20% over the following six months. The whole complex de-levered in public: Terra in May, Three Arrows and Celsius in June, a rolling sequence of forced sellers through the summer and autumn.
None of that happened because a whitepaper was wrong. It happened because a discount rate moved.
I spent three months in the second half of 2022 reverse-engineering the UST decoupling for a report I published on systemic fragility in algorithmic stablecoins. The report got cited by three financial outlets, which matters less than what it cost me to write: it stripped out every explanation that was not a liquidity variable. The peg mechanism was not the load-bearing wall. The collateral's liquidity depth was. A peg is a promise until it becomes a price.
That is the habit I carry now. When I read a gasoline forecast, I do not ask whether it will be right. I ask which balance sheet it debits.
3. The Transmission Chain, Priced End to End
3.1 The Arithmetic of a Five-Dollar Print
Start with the unit conversion, because almost nobody who writes about gasoline forecasts does.
A barrel of crude is 42 US gallons. At $120 a barrel, the raw feedstock in a gallon of gasoline costs $2.86. Add the refining margin, the crack spread. The 3-2-1 crack spread — the margin on turning three barrels of crude into two of gasoline and one of distillate — ran above $60 a barrel in parts of 2022 against a historical norm closer to $10 to $15. Add distribution and retail margin. Add the federal excise tax at 18.4 cents. Add state taxes, which average in the mid-30s nationally and run far higher in California and the Northeast.
Run the total: roughly $4.75 to $4.90 a gallon with $120 crude and an elevated crack. To print $5.00 you need either $125-plus crude, or $120 crude with a crack spread that stays wide.
The five-dollar print is not purely a crude oil forecast. It is a refining-capacity forecast. And that distinction is the whole article.
Refining capacity is a capital-cycle variable. You cannot build a refinery in an election cycle. You cannot build one in a decade, in most OECD jurisdictions, at any politically acceptable permitting cost. When the market loses refining capacity — through closures, through turnarounds, through the structural shift of capacity to export-oriented complexes in the Middle East and Asia — the crack spread widens, and it stays wide. It becomes a structural rent, not a temporary dislocation.
This is why the policy toolkit aimed at five-dollar gasoline is mostly theater. The Strategic Petroleum Reserve releases crude. It does not release refining capacity. The gasoline tax holiday removes 18.4 cents from a $5.00 price — 3.7%. It is a rounding error with a press conference attached.
I ran this arithmetic on a whiteboard in my São Paulo office in June 2022, next to a printout of the crack spread, and the conclusion was uncomfortable. The tools available to the political system were an order of magnitude too small for the shock they were aimed at. That is not a failure of will. It is a failure of instrument design against a capacity constraint.
3.2 The Variable Is Not the Index, It Is the Anchor
Gasoline is roughly 4% of the US CPI basket by weight. Energy overall, including electricity and natural gas, is closer to 7.5%. If you are doing naive index math, those numbers look small enough to dismiss. I have watched experienced analysts dismiss them, and they are wrong, for a reason that has nothing to do with weights.
CPI is a monthly measurement. The price at the pump is a daily observation, taken on the drive to work, at a location the consumer cannot avoid, in a quantity they cannot substitute quickly. It is the single most frequently sampled price in the economy, and it is sampled involuntarily.
That is why the transmission runs through expectations rather than arithmetic. In June 2022, the University of Michigan's one-year inflation expectation survey printed 5.4% — the highest in decades. The five-to-ten-year expectation moved far less. The gap between those two numbers is the signature of a supply shock: households expected the near term to be ugly and the long term to be normal, which is precisely what a central bank wants to see and precisely what it cannot rely on if the near-term print keeps escalating.
The gasoline price is not a CPI line item. It is the inflation anchor, and anchors are managed, not weighed.
This is where I mark a hard line between what the source article said and what I am asserting. The source framed five-dollar gasoline as a consumer-budget problem and a voter-mood problem. Both are true and both are secondary. The primary channel is that a sustained five-dollar print forces the expectation distribution to shift right, which forces the central bank to tighten further than it would otherwise, which forces the discount rate higher than it would otherwise be, which is the only variable that matters for an asset with no cash flows.
The consumer-budget story is the visible part. The discount-rate story is the load-bearing part.
3.3 Breakevens, Real Rates, and the Duration Problem
Now the mechanics of how this reaches a crypto portfolio.
Ten-year TIPS breakevens — the bond market's priced expectation of average inflation over the next decade — ran near 3% in the spring of 2022. Then the ten-year real yield, which had been deeply negative, swung from roughly -1.0% in early 2022 to about +1.5% by the autumn. That is a 250 basis point move in the real risk-free rate in under nine months.
Two hundred and fifty basis points is not a nudge. In valuation terms it is a regime change, and the sensitivity of an asset to it scales with the asset's duration.
Bitcoin has no cash flows. Its entire present value is a terminal-value claim discounted back at some rate. That makes it the longest-duration asset in any database I have ever built. A 250 basis point move in the real rate applied to an asset with an effectively infinite duration is a catastrophic repricing, and that is exactly what the chart shows.
Compare this with equities, but only the right equities. The S&P 500 is a mix of businesses with pricing power that partially offsets input costs. The Nasdaq-100 skews toward long-duration growth names with negative or distant free cash flow. Crypto's beta to that index in 2022 ran at roughly 1.5 to 2.5 times on down days. It is a levered expression of long-duration risk with the leverage held outside the instrument.
I formalized this framework after the January 2024 spot ETF launch. My team spent the first two weeks of that product's life tracking daily net inflows, comparing BlackRock's IBIT against Fidelity's FBTC. We saw individual days above $2 billion in net creation, and against traditional equity fund migration patterns we found the flows carried roughly a 15% correlation with S&P 500 volatility indices. Not with price. With volatility. Institutional allocators were treating the bitcoin sleeve as a volatility-managed satellite, rebalancing on risk parity logic, not as a directional bet on monetary debasement. My report predicted the subsequent consolidation on that basis rather than on retail sentiment, and it landed.
The lesson generalizes and it is the core of this article: institutional crypto flows are rebalancing flows, and rebalancing flows are driven by realized volatility, and realized volatility is driven by the discount rate. The chain has one input.
3.4 The Fiscal Plumbing: SPR, TGA, and Where Crypto Liquidity Actually Lives
Here is the part almost nobody writing about crypto macro gets right, and it is the reason I am writing this rather than a thread.
The Strategic Petroleum Reserve release of 180 million barrels over six months amounts to roughly one million barrels a day. Global oil consumption runs in the neighborhood of 100 million barrels a day. The release was therefore about one percent of global supply. Against a shortfall from sanctions and supply-chain dislocation that was plausibly two to three percent, one percent is meaningful and insufficient. It compressed the forward curve. It did not fix the term structure of the shock.
Now follow the money instead of the barrels.
When the Treasury releases oil from the SPR, it sells a physical asset and receives cash. That cash lands at the Treasury. The Treasury General Account rises. When the TGA rises without a corresponding drawdown elsewhere, bank reserves in the system fall, because reserves and the TGA are two sides of the same balance sheet at the Federal Reserve. Reserves fall, dealer balance sheets shrink, and the marginal buyer of risk assets becomes less capable of carrying inventory.
The same fiscal apparatus that was suppressing the gasoline price was, mechanically, draining the liquidity that crypto prices against.
I want to be precise about the strength of this claim. The SPR release itself was a modest liquidity event. The TGA rebuild over 2022 was larger. The reverse repo facility absorbed a substantial share of the resulting float. Reconstructing the exact net contribution requires the Fed's weekly H.4.1 release and the Treasury's daily cash statement, and I ran that reconstruction at the time because I wanted to know whether the oil-price suppression and the crypto drawdown shared a cause. They shared a channel. The channel was reserves.
Which produces a prediction that is falsifiable and, to my knowledge, rarely stated in these terms. If a five-dollar gasoline print triggers a larger SPR release, then the post-election period requires SPR replenishment. Replenishment means the government buying crude on the open market, which puts a structural bid under the crude complex, which means the post-election policy stance is a floor under the shock rather than a ceiling. A floor under oil is a ceiling under the liquidity that risk assets trade on.
The policy response to high gasoline does not extinguish the energy shock. It exports it to the next fiscal year and to the assets most sensitive to liquidity.
That is the trade. Not the oil price. The plumbing.
3.5 The Miner as a Pure Energy Derivative
I have to say something about miners, because Bitcoin is the only large asset class with a direct, measurable, industrial energy input, and the usual discussion of it is sentimental.
A miner converts joules into hashes and hashes into satoshis. That is the entire business model. There is no brand, no pricing power, no customer relationship. There is a conversion rate, and the conversion rate moves.
The relevant metric is hashprice — revenue per terahash per day. In early 2022, with bitcoin near $45,000 and network difficulty at the then-current level, hashprice ran around $0.20 to $0.24 per terahash per day. By late 2022, with bitcoin under $20,000, it had compressed below $0.07. That is a roughly 70% collapse in the revenue side of the business, while the cost side — electricity, contracts, and machine amortization — is largely fixed in the short run.
Now add the energy complex. The marginal cost of power sets the marginal miner's survival. Mining draws predominantly on natural gas, hydro, and grid power rather than gasoline directly, so a five-dollar gasoline print does not translate one-to-one into a mining cost shock. But gasoline, diesel, and natural gas are all priced off the same hydrocarbon complex, and diesel specifically prices the logistics of moving rigs, containers, transformers, and substation equipment. A $130 crude regime is a costly regime for every part of the energy stack.
Run the stress test. Assume a modern fleet at roughly 30 joules per terahash, power at $0.05 per kilowatt-hour, and the post-halving block subsidy. At a hashprice below $0.05 per terahash per day, a substantial portion of the installed fleet is at or below gross margin. At $0.04, the fleet is running to service debt, not to earn a return.
Survival is the ultimate metric of a robust system. In mining, that sentence is not a rhetorical flourish. It is a breakeven calculation.
And the parallel to the lending protocols is exact. In 2022, the entities that failed were not the ones with the weakest narratives. They were the ones with the least liquid collateral and the shortest maturity on their liabilities. Terra's collateral was a self-referential asset with no exit depth. The CeFi lenders' liabilities were demand deposits dressed as term funding. Both structures are duration mismatches, and duration is a liability in a supply shock.
3.6 Stablecoin Supply as the Crypto Money Supply
The reserve base of the crypto system is stablecoins. Not bitcoin, not ether. The float is what you collateralize positions against, what you settle trades in, what you park exposure in between views. When the float expands, the system's money supply expands. When it contracts, the system is running quantitative tightening on itself.
Through 2022, it contracted. From a peak near $185 billion in the spring to below $150 billion by the autumn, with the sharpest single step in May.
That May step deserves a second look, because it is the cleanest natural experiment in crypto's liquidity structure that we have. When UST broke, the contagion did not run first through bitcoin. It ran through the deepest stablecoin pool on the largest automated market maker. USDT traded to roughly $0.95 on Curve for a period of hours, not because Tether's reserves were impaired but because the redemption path was congested. The system's reserve base is only as good as its exit depth, and exit depth is a function of how much capital is willing to be a counterparty at a moment of maximum correlation.
This is what I mean when I say crypto has a money supply and it is not managed by anyone.
Now overlay regulation, and here I will stay disciplined about separating mechanism from opinion. The European Union's Markets in Crypto-Assets framework imposes reserve composition and custody requirements on stablecoin issuers, with stricter thresholds for issuers designated as significant. It also imposes capital, governance, and reporting obligations on crypto-asset service providers. These are largely fixed costs. A fixed cost is regressive by construction: it consumes a small percentage of a large issuer's revenue and a fatal percentage of a small issuer's.
The macro consequence is what matters here. A regulatory regime that concentrates stablecoin issuance into a handful of large, audited, bank-custodied entities produces a reserve base that is more robust and less responsive. It will not expand quickly in a liquidity upswing. A more robust monetary base and a faster-growing one are different products, and the market has been pricing the second while receiving the first.
That is a structural change in the beta of the whole asset class, and it has been largely modeled as a compliance cost rather than as a monetary regime change.
3.7 A Second Election, a Second Gasoline Shock
I live in São Paulo, and in 2022 I was watching two elections on the same calendar, both of which had a gasoline price as a central variable.
Brazil's general election was in October 2022. Brazilian inflation, as measured by the IPCA, peaked above 12% year over year in the first half of that year. The central bank had already begun raising the Selic rate from a 2% floor in early 2021 and ran it to 13.75% by August 2022 — one of the most aggressive tightening cycles on the planet, started before the Fed and executed with more conviction.
A large share of that pressure came from fuel. Petrobras operated a import-parity pricing policy, which meant Brazilian pump prices tracked Brent and a weak real simultaneously. The policy response was a stack of fiscal interventions: federal and state tax reductions, a cap on state-level ICMS on fuels, and direct subsidies. Each of those instruments did the same thing the US instruments did — moved the cost from the consumer's balance sheet to the government's — and each of them compressed the retail price without changing the underlying supply position.
When the same single variable determines electoral outcomes in two of the largest democracies in the Americas in the same year, that variable has stopped being an energy input. It is a political asset class with a price and a volatility.
The Brazilian case also destroys the most popular retail crypto thesis of the period. Brazil, Turkey, Argentina, and Nigeria were the markets where "crypto as inflation hedge" had the strongest organic adoption. In local-currency terms, the narrative worked. In dollar terms, over 2022, holders of bitcoin in all four countries experienced the same 65% drawdown as holders everywhere else, because the discount rate was set in Washington, not in Brasília.
Local inflation explains why people bought. The Fed explains what happened to them afterward. Those are two different questions and the retail market conflated them for two years.
3.8 DeFi Yield as a Liquidity Subsidy, Not a Credit Spread
There is one more layer to strip out before I get to the contrarian case.
Lending protocol interest rates — Aave, Compound, and every fork — are generated by a utilization curve. The curve is a piecewise function: a base rate, a slope up to an optimal utilization point, and a steep slope above it. The parameters are set by governance vote. They are not derived from any observable default rate, any credit curve, or any term structure. There is no default data because the loans are overcollateralized, and there is no credit analysis because the collateral is liquidated by code.
What the curve actually does is congestion pricing. It raises the price of liquidity when liquidity is scarce relative to borrow demand. That is a useful mechanism. It is not a credit spread, and calling it yield is a category error.
If DeFi lending rates are a liquidity subsidy rather than a risk premium, then they are repriced by the same discount rate that reprices everything else — and the moment the macro risk-free rate exceeds the subsidy, the category's capital base is a function of central bank policy.
Run the numbers. Through most of 2020 and 2021, the risk-free rate was effectively zero or negative, and a 4% organic supply rate on stablecoins looked like a spread. By late 2022, the risk-free rate was above 4%, and the same 4% organic rate looked like nothing at all. The capital had no reason to stay unless it was earning emissions on top — and emissions are a dilution, not a yield.
My own experience here is the reason I trust the framework. In the 2020 DeFi Summer I ran a capital-efficient farming strategy across Compound and Aave with a personal book of about $15,000, driven by a Python script that monitored gas costs and impermanent loss in real time and rotated between ether and stablecoins on APY deviation. It returned roughly 340% before the regime changed. That result was not skill at credit analysis. It was the correct harvesting of a liquidity subsidy that existed because the risk-free rate was zero. When the risk-free rate moved, the strategy died, and it died for macro reasons, not for protocol reasons.
Governance tokens sit at the end of this chain and inherit its logic. A governance token is a claim on a decision right, not on a residual cash flow. Its value is only realized in a control contest or in the expectation that a later buyer will pay more for the same decision right. Strip the discount rate down and the mechanism is visible: there is no terminal cash flow to discount, so the price is a function of the marginal buyer's willingness to hold an option on future governance relevance. That is not a security with a valuation. It is an option with a narrative strike, and options decay when the funding rate that sustains them goes away.
4. The Contrarian Case
4.1 The Decoupling Thesis Peaks at Maximum Coupling
There is a pattern I have observed across fifteen years and it has not had an exception. The narrative that an asset has decoupled from its driver appears with maximum intensity exactly when the correlation is at its historical extreme.
In mid-2022, with the 90-day bitcoin-to-Nasdaq correlation near 0.9, the volume of published material arguing that bitcoin was becoming an independent macro asset was higher than at any point in the previous five years. That is not a coincidence and it is not stupidity. It is a structural feature of narrative markets. When an asset falls for exogenous reasons that its holders do not understand and cannot control, the most psychologically available response is to deny the linkage.
Decoupling is not a fact. It is a variable, and like every variable in a narrative market, it gets repriced. Correlation is a regime, not a constant, and the regime is set by the dominant macro driver, not by the asset's self-image.
4.2 The Conditional Nobody Writes Down
"Bitcoin is an inflation hedge" is an incomplete proposition. It is missing a condition, and the condition is everything.
There are two kinds of inflation, and they transmit through completely different channels.
Demand-pull inflation comes from excess nominal demand. It is accompanied by rising nominal output, rising corporate revenue, and a central bank tightening into an economy that can absorb it. In that regime, an asset with a fixed supply and a growing nominal economy has a coherent case. The nominal growth term partly offsets the discount rate term.
Supply-shock inflation comes from a terms-of-trade deterioration. It is accompanied by falling real output, compressed margins, a stronger dollar, and a central bank tightening into an economy that cannot absorb it. In that regime there is no nominal growth offset. There is only the discount rate moving against you, a currency that is the unit of account strengthening, and a liquidity base contracting as the shock is financed.
2022 was the second kind. And in the second kind, the asset with the longest duration and the weakest cash-flow anchor is the worst possible holding, regardless of its monetary policy.
Bitcoin hedges monetary debasement. It does not hedge a terms-of-trade shock. Confusing the two is the single most expensive analytical error of the last cycle.
I have stress-tested this against my own portfolio history. Every period where I made money holding crypto through an inflation scare was a period where the shock was demand-side or policy-driven. Every period where I lost was a period where the shock originated in the physical supply chain. That distinction has never failed to separate the outcomes.
4.3 The Arrow Points Both Ways
The source article made a directional claim: gasoline prices affect politics. Consumer budgets compress, voter sentiment sours, the incumbent party pays.
That is true and it is the shallow reading. The deeper reading inverts the arrow.
If a five-dollar gasoline print is politically fatal to an incumbent, then the incumbent has an incentive to prevent the print, and the instruments available to prevent it are observable. SPR releases. Tax holidays. Jawboning of OPEC+. Pressure on domestic producers. Each of those actions changes the price of oil. Which means that from roughly the spring of 2022 forward, the price of oil — and therefore the price of the entire energy complex, and therefore the path of headline inflation, and therefore the trajectory of the discount rate — was a partial function of the electoral calendar.
When a macro variable becomes endogenous to an election calendar, it acquires an event-volatility term structure, and event volatility is a priceable object.
This is where the forecast in the source material becomes useful, and it is useful in a way the source did not intend. A one-line unattributed prediction of a threshold breach, published in an election year, is itself a variable in the political reaction function. If enough of the market believes the print is coming, the political pressure to act rises before the print arrives, which changes the forward curve, which changes inflation expectations, which changes the discount rate before any physical barrel moves.
I would not trade the forecast. I would trade the reflexivity it creates — and I would size it as an option, because a single unattributed sentence carries an unknown hit rate and an unknown confidence interval, and a position sized on an unknown distribution is a position sized on nothing.
That is the honest failure scenario for this entire article. I have built a chain that runs from a price board in Ohio to the real yield on a ten-year TIPS to the multiple a fund manager is willing to pay for a non-cash-flowing asset. Every link in that chain is defensible. What I cannot defend is the initiating number. The source gave me a threshold with no probability attached, from a source I cannot assess, with no historical record of accuracy. So the correct response is not a directional position. It is a small, convex, volatility-expressed position that profits if the chain activates and loses a defined amount if it does not.
There is a second failure mode, and it is the one that keeps me honest. The chain assumes the Fed responds to gasoline prices through the expectations channel. If the Fed instead looks through energy as a volatile non-core item — the way it has periodically argued it does — the entire transmission collapses. In that scenario, five-dollar gasoline is a political problem and a consumer problem and nothing more, and the crypto discount rate is set by something else entirely. The framework is only as good as that behavioral assumption, and the assumption is not observable. It is inferred from the 2022 reaction function.
4.4 The Position Nobody Wants to Hear
If the framework above is right, then the highest-expected-return action for a crypto fund in a five-dollar gasoline regime is not to rotate into a different token. It is to reduce gross exposure and hold short-dated Treasury bills.
I will state that plainly because I have never seen it stated plainly by anyone with the incentive to state it. A fund manager's job is to generate risk-adjusted return, not to be invested. There are regimes where the correct crypto position is no crypto position, and a supply-shock inflation regime with a hawkish reaction function and tightening fiscal liquidity is one of them. I have run that play. It is not exciting and it is the reason my book survived 2022 intact while several larger ones did not.
Survival is the ultimate metric of a robust system.
5. What Actually Matters Next
There is a question underneath this entire analysis, and it is not a forecasting question.
What is the gasoline price at which a political system chooses recession tolerance over inflation tolerance? Is there a number? Or does the number move with the polling data, which is to say with the very variable the price is supposed to be affecting?
If the threshold is fixed, then the market has something to price: a known level at which fiscal policy turns aggressive and monetary policy is subordinated to it, and a known date by which the level matters.
If the threshold floats with the polls, then there is no level at all. There is only a reflexive loop in which the price of oil is set partly by the expectation of the political reaction to the price of oil, and no participant can break the loop by observing it.
I think the second is closer to the truth, and I think that is the actual information content of a one-line forecast about five-dollar gasoline published before a midterm. It is not a price target. It is a measurement of how much the system believes its own reaction function is live.
The next print that matters is not the CPI. It is the daily national average at the pump, published every morning by an automobile association, free to anyone, and read by every campaign in the country. When it crosses the line, the liquidity follows the politics, and the assets with the longest duration and the shortest cash-flow memory will be repriced first.
The only remaining question is whether anyone holding them will have modeled the chain before the print arrives.
