KNN-Confluence Multi-Layer Momentum

Family: trend_following · Regime: trending · Complexity: high · Asset classes: Equity Indices, Forex Major Pairs, Large-Cap Tech · Timeframes: H1, H4, D1

Thesis

Market trends are most persistent when technical confluence (momentum, structure, and volume) is high and price exhibits a directional bias relative to its moving estimate (Mean Error). By combining a KNN-optimized Volume SuperTrend with a multi-layered scoring engine (IAE), this strategy aims to enter only when multiple disparate domains agree on direction, thus filtering out 'false' trend starts. The edge exists due to the behavioral clustering of institutional and retail traders at key technical confluence points.

Components

Known failure conditions

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