Gann-Kalman Structural Pair Mean Reversion

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Equities, Forex (Cross-pairs), Crypto-assets · Timeframes: H1, H4

Thesis

Market participants often trade correlated assets in 'herds,' but momentary idiosyncratic shocks cause temporary divergences in their price ratio (spread). These divergences are statistically likely to mean-revert, particularly when the broader market structure (Darvas Boxes) and trend direction (Gann HiLo) remain intact. By utilizing a Kalman Filter to define the 'fair' spread dynamically, we can capture high-probability entries as the assets re-align, using momentum (MACD) to time the turn and structural levels (Darvas) to manage risk.

Components

Known failure conditions

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