GARCH-Volumatic Structural Liquidity Strategy

Family: hybrid · Regime: ranging · Complexity: high · Asset classes: Equities, Forex, Crypto · Timeframes: H1, H4, D1

Thesis

Market participants leave 'volume footprints' at structural extremes. By using a GARCH model to measure 'Conditional Volatility', we can quantify the risk of a breakout vs. a fakeout. This strategy assumes that price interactions with volume-heavy support/resistance zones are more reliable when volatility is clustering (predictable) and volume intensity (POC) confirms institutional presence. The edge lies in the precision of volume-based entry timing combined with mathematically rigorous risk scaling.

Components

Known failure conditions

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