KNN Volume-Structure Breakout System

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

Thesis

Market participants often react to structural levels (Pivots) but need a volume-backed catalyst to sustain a trend. This strategy assumes that a volatility expansion (Squeeze) combined with AI-confirmed volume direction and a recovery from momentum extremes (Williams %R) identifies the highest probability phase of a trend's lifecycle. The edge is behavioral: capturing the transition from consolidation to expansion while the 'herd' is still validating the move via Elder-Ray style power metrics.

Components

Known failure conditions

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