Lorentzian-HP Ghost Persistence Strategy

Family: hybrid · Regime: trending · Complexity: high · Asset classes: FX, Equities, Crypto · Timeframes: H1, H4, D1

Thesis

Market edge exists when ML-detected regimes align with causal cycles and statistical persistence. By entering on structural 'urgency' signals from linear regression channels only when autocorrelation confirms momentum persistence, we filter out the noise of mean-reverting phases. Lorentzian distance provides a superior classification metric because it is less sensitive to the 'fat tails' often found in financial time-series compared to standard Euclidean-based KNN.

Components

Known failure conditions

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