Kalman-ZLSMA Stat-Arb Hybrid

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Equities, Forex (Pairs), Crypto (Pairs) · Timeframes: H1, H4

Thesis

The hypothesis is that local price inefficiencies in correlated asset pairs (Statistical Arbitrage) are most profitable when they align with broader momentum (ASH) and cyclical phases (BPF) rather than occurring in isolation. By filtering for volatility breakouts (Boxline) and using zero-lag trend filters, we avoid 'catching a falling knife' during structural shifts, instead entering when the pair spread is most likely to snap back to its dynamic mean (Kalman Filter). Murrey Math provides the structural exit logic by identifying where market participants are likely to place orders based on octave-scale price geometry.

Components

Known failure conditions

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