McNicholl KNN-Volume Darvas Hybrid

Family: trend_following · Regime: trending · Complexity: high · Asset classes: Equities, FX Major Pairs, Crypto (High Liquidity) · Timeframes: H1, H4

Thesis

The hypothesis is that low-lag trend indicators (McNicholl EMA) combined with historical volume-price classification (KNN) can identify higher-probability breakouts than standard indicators. By using Darvas Boxes for risk, we align entry with structural market phases (consolidation to expansion), and the Heiken Ashi ATR smoothing provides an exit that is less reactive to minor noise while remaining disciplined to volatility shifts.

Components

Known failure conditions

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