Factor Hierarchy: What Actually Moves Bitcoin Price?
Bitcoin price attracts no shortage of opinions. The Fed controls it. Institutions move it. Halving cycles drive it. But which factors actually explain price movements—and by how much? We ran the numbers.
Factor Hierarchy at a Glance
The Framework: Measuring What Matters
Most Bitcoin analysis relies on narrative: "the Fed pivoted, so Bitcoin should rally." That's directionally useful but doesn't tell you how much the Fed actually matters relative to, say, where we are in the halving cycle.
We used eta-squared—a statistical measure of effect size from ANOVA analysis—to quantify exactly how much variance in Bitcoin's 90-day returns each factor explains. The study covers 941 data points from January 2015 through December 2025.
The result: a clear hierarchy with three tiers.
Factor #1: Halving Cycle Phase — 28.2% of Variance
Statistical Significance
The halving cycle phase is the dominant driver of 90-day Bitcoin returns. No other factor comes close.
Bitcoin's 4-year halving cycle creates three distinct phases:
Post-Halving Bull Phase (Days 0–547 after halving)
Post-Halving Bull Statistics
Supply shock takes effect; miners produce 50% fewer BTC to sell. With the same or growing demand against shrinking new supply, prices historically trend up.
Pre-Halving Accumulation Phase (Days ~548–1095 before next halving)
Pre-Halving Accumulation Statistics
Smart money anticipates the upcoming supply reduction. Risk-adjusted returns are strong and consistent across all measured cycles.
Distribution Phase (Days 548–1095 after halving)
Distribution Phase Statistics
Cycle peak has typically passed; early investors distribute. Returns are positive on average but with high variance and frequent deep drawdowns.
Each halving permanently cuts daily new Bitcoin issuance in half. Post-halving, miners receive fewer coins to cover operating costs—meaning structurally less supply hitting markets. With the same or growing demand against shrinking new supply, prices historically trend up.
For the full breakdown of cycle phases and timing, see our Bitcoin Halving Cycle Guide →
Factor #2: Power Law Valuation — 16.9% of Variance
Statistical Significance
Bitcoin's price doesn't move in a vacuum—it moves relative to its long-term trend. How far price sits above or below the power law model is the second-strongest predictor of 90-day returns.
| Valuation Zone | 90-Day Win Rate | Mean 90-Day Return |
|---|---|---|
| Very Undervalued | 100% | +180.2% |
| Undervalued | 99.0% | +59.2% |
| Fair Value | 79.8% | +29.5% |
| Overvalued | 59.5% | +20.1% |
| Very Overvalued | 61.4% | +40.6% |
The power law model fits 96% of Bitcoin's historical price variance (R² = 0.9605). When price is deeply below the long-term trend, it has historically been among the best buying opportunities in Bitcoin's history—with a 100% positive 90-day return rate from extreme undervaluation.
See our full explanation of the Power Law Model →
Factor #3: Federal Reserve Regime — 9.4% of Variance
Statistical Significance
The Fed matters. But it ranks third—and notably, it's a modifier rather than a primary driver.
The key insight: the Fed regime fine-tunes Bitcoin's behavior within the halving cycle context but doesn't override it. A hawkish Fed during a bull phase reduces returns somewhat. A dovish Fed during distribution doesn't save you from underperformance.
This is why analysts who focus primarily on Fed policy often mistime Bitcoin: they're using the third-ranked factor as their main model. A "Fed pivot" call ignores whether you're in a bull phase or distribution—the difference between +64% and -22% average 90-day returns.
When Factors Align: The Combined Scenarios
The real signal emerges when we combine factors. Here are the historical outcomes from three-way analysis:
| Scenario | Mean 90-Day Return | Win Rate |
|---|---|---|
| Bull Phase + Undervalued | +65.6% | 100% |
| Bull Phase + Fair Value | +59.6% | 100% |
| Bull Phase + Overvalued | +65.3% | 84.5% |
| Pre-Halving + Fair Value | +40.8% | 100% |
| Pre-Halving + Overvalued | +0.8% | 46.6% |
| Distribution + Undervalued | +50.1% | 97.0% |
| Distribution + Fair Value | +7.6% | 58.1% |
| Distribution + Overvalued | -11.7% | 21.4% |
Being in the Distribution phase at overvalued levels is the single worst combination historically—negative returns with only a 21.4% win rate. Being in the Bull phase at any valuation yields 100% win rates when undervalued or at fair value.
A critical test: even when undervalued, the bull phase outperforms the distribution phase by 15.5 percentage points (p = 0.0007). This confirms that halving phase dominates valuation—you can't fully escape cycle timing by buying cheap.
Reading the Market With This Framework
The factor hierarchy gives you a structured lens for interpreting market noise:
- First, locate your halving phase. This sets the base expectation. Are you in post-halving bull, pre-halving accumulation, or distribution?
- Second, check power law deviation. Is price historically cheap or expensive relative to the long-term trend? This modifies your base expectation up or down.
- Third, note the Fed regime. Tightening or easing? This fine-tunes the outlook—but doesn't flip it.
When analysts make contrarian calls ("halving doesn't matter anymore" or "the Fed will crash Bitcoin"), it's worth asking: are they substituting a tier-3 factor for a tier-1 factor?
The Complete Factor Ranking
| Rank | Factor | Eta-Squared | F-Stat | p-value |
|---|---|---|---|---|
| #1 | Halving Cycle Phase | 28.2% | 184.17 | 3.4e−68 |
| #2 | Power Law Valuation | 16.9% | 47.68 | 1.6e−36 |
| #3 | Federal Reserve Regime | 9.4% | 97.87 | 5.1e−22 |
The Bottom Line
Based on a decade of data:
- Halving cycle phase explains 3× more variance than Fed policy
- Valuation is the second lever—buying deeply undervalued has returned +180% on average, 100% of the time
- Fed regime matters, but as a modifier—not the primary driver
The hierarchy is your framework: halving phase first, valuation second, macro third.
Track All Three Factors in Real-Time
Our free dashboard shows current cycle phase, power law deviation, and macro regime—updated daily.
View Live DashboardMethodology
Data covers January 2015–December 2025 (941 observations). Factor importance measured using one-way ANOVA with eta-squared as the effect size metric. 90-day forward returns used as the dependent variable. Halving phases defined by days elapsed since last halving event, with boundaries at days 0, 547, and 1095. Power law valuation zones defined by standard deviation bands around the diminishing sine power law model (R² = 0.9605).
Disclaimer: This is statistical analysis of historical patterns, not financial advice. Past patterns do not guarantee future results. Always do your own research.
Data from BML's factor hierarchy study (2015–2025, 941 observations).
Related: Bitcoin Halving Cycle Guide • Power Law Model Deep Dive