RLS-Darvas Adaptive Structural Breakout

Family: breakout · Regime: trending · Complexity: high · Asset classes: FX, Equities, Crypto · Timeframes: H1, H4

Thesis

Market breakouts are most reliable when they occur in the direction of the dominant multi-timeframe trend and are confirmed by an adaptive signal that filters out noise while maintaining lower lag than standard moving averages. By using the RLS filter to identify the 'true' underlying price trajectory and the Darvas Box to identify local structural expansion, we can capture high-probability trend legs. Heiken Ashi-based ATR is used for risk because it filters out intraday noise that typically triggers standard ATR-based stops.

Components

Known failure conditions

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