Crypto Liquidity Flow

Liquidity flow = where is capital actually moving, across the layers that drive crypto price. Track them together; any one in isolation misleads.

The layers (and what each tells you)

• Spot ETF flows — net creations/redemptions are slow, sticky institutional demand. Sustained inflows are a structural tailwind; sharp outflows precede risk-off. Lags price, but confirms trend conviction.
• Derivatives (funding + OI) — perp funding shows positioning crowding; open interest shows whether moves are driven by new positions or unwinds. Extreme one-sided funding + stacked OI = squeeze fuel.
• Liquidations — forced flow. Clusters mark where leverage breaks; cascades produce sharp wicks and spike cross-asset correlation toward 1.
• On-chain — exchange in/outflows (coins leaving exchanges = accumulation), stablecoin supply (dry powder), and large-holder movement.
• Dominance & rotation — BTC.D / ETH.D and stablecoin dominance reveal risk appetite rotating between BTC, ETH, alts, and cash.

Reading the flow

• Confluence over single signals. ETF inflows + falling exchange balances + rising OI on rising price = a high-conviction structural bid. One signal alone is noise.
• Lead/lag awareness. On-chain and ETF flows lead; funding and liquidations are coincident/reactive. Don't treat a lagging confirmation as a fresh signal.
• Regime sensitivity. In a crash, correlations converge and "diversified" liquidity dries up simultaneously — model that, don't assume independence.

Building a liquidity-flow pipeline

1. Real data only — pull from exchange/ETF/on-chain sources; never mock values in a path that feeds decisions. (See backtesting-discipline.)
2. Point-in-time — store metrics as-reported; on-chain and funding get revised. Don't backfill revised values into historical analysis.
3. Cache with sane TTLs — refresh cadence ≥ source update frequency; stale liquidity data is worse than none. (See redis-patterns.)
4. Aggregate into a single view — combine layers into one normalized snapshot so downstream consumers reason about flow, not raw feeds.

Pairs with [[market-microstructure]] (order flow / CVD / funding mechanics) and [[risk-management]] (correlation spikes in cascades).