Statistical Drift & K-Neighbor Liquidity Hybrid

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Equities, FX Majors, Indices · Timeframes: H4, D1

Thesis

The hypothesis is that trends are most tradable when statistical drift (ADM) and historical pattern matching (KNN) converge. By entering only when price structure (SuperTrend/Pivots) aligns with these filters, and placing stops in 'liquidity voids' (low-volume zones), we capture high-probability extensions to mathematical harmonics (Murrey Lines) before mean reversion occurs. Edge existence relies on the persistence of institutional drift and the tendency for price to traverse 'easy' volume areas quickly.

Components

Known failure conditions

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