What is actually being raised
“The Fed raised rates” normally means the Federal Open Market Committee adjusted the target range for the federal funds rate. That isn't an institution dictating everyone's borrowing costs; it's a target that the central bank keeps the overnight interbank rate inside, using open market operations among other tools.
Why should a rate with no connection to crypto matter to a token? Because it sits at the start of the whole pricing chain.
Four links
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Risk-free yields move
A higher policy rate lifts yields on short-term government paper and similar low-risk assets. Doing nothing now pays more than it used to.
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The opportunity cost of holding a non-yielding asset rises
Bitcoin pays no interest and no dividend. When risk-free yields are near zero the cost of holding it is small; when they're meaningfully positive, holding it means forgoing a certain return. This is the central link.
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Risk appetite and funding costs change
Higher rates also raise borrowing costs, making leverage more expensive; institutional risk budgets tighten and allocations shift toward safer assets. This link acts on the whole risk-asset class, not on crypto specifically.
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Capital redistributes
The net effect is money moving away from volatile, cash-flow-free assets toward more certain ones. Crypto sits in the first category most of the time.
This chain also explains why crypto often moves with technology stocks: they occupy similar positions on it — long duration, cash flows either distant or absent, and therefore highly sensitive to changes in the discount rate.
The essential sentence: markets trade expectations, not facts
This is where most readers go wrong, and it's the answer to “rates went up, so why did it rally?”
Rate decision dates are published in advance, and by the time the meeting arrives the market has formed an expectation through many channels. When the outcome matches the expectation, the “fact” contains no new information at the moment of publication and the reaction can be close to nothing. What generates movement is the part that wasn't expected — a different magnitude, changed language, a hint about the path ahead.
So the useful question isn't “did they hike?” but: “how did the outcome differ from the consensus going in?” That's the core of why the price already moved before you saw the news.
When the chain goes slack or snaps
Treating macro as a constant law is this layer's biggest misuse. Four situations weaken it noticeably:
1. Crypto generates its own major event
A platform failure, a protocol exploit, an abrupt regulatory measure. When layer 4 fires, macro gets temporarily overwhelmed: crypto falls alone while equities show no reaction — and that shape is itself the diagnostic.
2. The correlation itself drifts
The correlation between crypto and equity indices is not a constant. There have been periods of tight co-movement, periods of near-independence, and periods of inversion. Reasoning from “historically correlated” to “so it will move together this time” treats a time-varying parameter as a constant. Re-verify with same-period data every time.
3. A stronger short-term force is present
Liquidation cascades resolve in minutes; macro transmits over weeks and months. On an intraday scale, layer 3 almost always overwhelms layer 2. Scale mismatch is one of the main sources of attribution error; see the four layers.
4. Policy direction and actual liquidity conditions diverge
The policy rate is only part of the liquidity picture. Fiscal policy, balance sheet operations and other central banks' actions all shape the funding environment. Watching one number can mean missing the variable that actually mattered that month.
“Risk assets historically performed better during easing cycles, therefore…” — limited samples, different initial conditions each time, and the claim itself is widely discussed and therefore already in prices. This is exactly what this site calls a forecast dressed as an explanation, and we don't publish it.
What you can actually check
- Read the primary document. Policy statements and press conference transcripts are public on central bank sites; you don't need anyone's interpretation.
- Check the timestamps. Line up the start of the price move with the release time, to the minute. A large gap means the causal chain has a problem.
- Look sideways. Equity indices, the dollar and gold over the same window. If only crypto moved, it isn't macro.
- Compare against expectations, not against the last value. Pre-meeting market expectations are publicly observable, and the gap is where the new information lives.
Common questions
Are rate cuts bullish for bitcoin?
We make no such judgement. Mechanically: falling risk-free yields reduce the opportunity cost of holding a non-yielding asset, which is one link in the chain. But several variables usually change in the same period, attributing the outcome to one of them has no basis, and expectations of this kind are typically priced well before the policy lands.
Why does bitcoin sometimes rally on a hike day?
The usual explanation is the expectation gap: if the increase is smaller than the consensus expected, or the statement's language is read as more accommodating about what follows, then relative to expectations the outcome was on the easier side. Markets compare against expectations, not against last time's number.
Isn't bitcoin “digital gold”? Why does it fall with stocks?
“Digital gold” is a narrative, not a verifiable classification. Observed trading behaviour puts crypto alongside high-volatility risk assets most of the time. When narrative and data disagree, go with the data — while remembering that the data itself varies by period.