At any moment, the price moves because someone bought or sold more aggressively than the order book could absorb. Everything below — macro, ETFs, halvings — matters only insofar as it changes those flows. These frameworks help explain moves and assess regimes; none of them reliably predicts. Correlations that held for years break without notice, and anyone with a genuinely predictive model has no reason to share it.
Global liquidity and interest rates
Bitcoin trades like a high-beta risk asset: it thrives when money is cheap and plentiful, and suffers when it isn't. The mechanisms are concrete:
- Real interest rates. Bitcoin yields nothing, so when inflation-adjusted bond yields rise, holding it costs real opportunity. The 2022 rate-hiking cycle coincided with a ~75% drawdown — while the “inflation hedge” narrative said it should have rallied. Narrative lost; liquidity won.
- Money supply. Multi-year correlations between global M2 growth and Bitcoin are well documented — and unstable. Periods of decoupling (as seen since mid-2025) are a recurring reminder that correlation is not a law of physics.
- The dollar. A strengthening dollar (DXY) has historically pressured Bitcoin, since BTC is priced and mostly collateralized in dollars. Same caveat: a tendency, not a rule.
- Risk appetite. In stress episodes Bitcoin correlates strongly with tech equities. Whatever the long-term thesis, on a bad Nasdaq day Bitcoin is usually having a worse one.
Crypto-native supply and demand
- Spot ETF flows. Since US spot ETFs launched in 2024, they have become the most visible short-term demand variable — the funds hold a mid-single-digit percentage of all Bitcoin, and daily net flows are public data that the whole market watches. Honest nuance: flows often follow price and macro shocks rather than lead them — a symptom as much as a cause.
- The halving. Every four years, new supply from miners halves. The popular story says this mechanically drives bull markets; the honest version is contested. New issuance is now tiny next to daily trading volume, and an event known years in advance should be priced in. Past cycles roughly aligned with halvings — whether causally or coincidentally with liquidity cycles is genuinely unresolved.
- Stablecoin supply. Growth in USDT/USDC supply is often read as dry powder entering the ecosystem; contraction as capital leaving. A useful, imperfect proxy.
Leverage: the short-term amplifier
Crypto's perpetual futures markets carry large open leveraged positioning, and it amplifies every move. When price falls into a cluster of long liquidation levels, forced selling triggers more liquidations — a cascade that turns a 3% dip into a 12% crash in minutes. The same works upward in short squeezes. Funding rates and open interest are public gauges of how crowded and fragile positioning is. This is also why thin weekend liquidity produces outsized moves: the same order flow hits a shallower book.
Events and regulation
Discrete events reprice the market instantly and unpredictably: regulatory actions and rules (SEC decisions, MiCA in Europe), exchange failures and hacks, sovereign or corporate adoption headlines, tax changes. These are genuine unknowns — no chart contains them, and no indicator anticipates them.
So what does a trader do with this?
Treat these drivers as regime context, not forecasts: is liquidity expanding or contracting, is positioning crowded, is the market trending or chopping? Then let a defined strategy react to what price actually does, with sizing that survives being wrong — because on any given trade, being wrong is always in play. How these forces hit altcoins — usually harder — is covered in the next guide.