KNN-OR Momentum Smoother

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Equities, Index Futures · Timeframes: 5m, 15m

Thesis

Intraday price discovery is largely dictated by the 'Opening Range' established during the first 30 minutes of RTH. By filtering this range bias with non-linear volume-weighted trends (KNN SuperTrend) and zero-lag smoothing (Ehlers USF), we can capture intraday momentum shifts that are supported by high-conviction volume, while exiting at volatility exhaustion points (Kijun Envelopes). The edge lies in the synthesis of structural session data with machine-learning-enhanced trend detection.

Components

Known failure conditions

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