Kalman Spread & Triple ADX Pullback Hybrid

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Crypto (Major Pairs), Forex (Crosses), Equities (Related Pairs) · Timeframes: 1H, 4H

Thesis

This strategy hypothesizes that excess returns are found at the intersection of statistical relative-value extremes and institutional trend confirmation. By using a Kalman Filter to identify when the spread between two assets (like ETH and BTC) has deviated from its 'fair' mean, and then waiting for a VWAP pullback in the direction of a high-confidence triple-ADX trend, we enter the market alongside institutional 'smart money' during a resumption of momentum. The MSLE filter ensures we avoid 'fat-tail' volatility events where standard mean-reversion models typically fail.

Components

Known failure conditions

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