ATOM Logit Structural Momentum Trader

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Crypto (ATOMUSDT.P) · Timeframes: 15m

Thesis

The strategy hypothesizes that market inefficiencies in ATOMUSDT can be captured when a statistical classification model (ATOM Logit) aligns with low-lag trend confirmation (ALMA) and momentum recovery (CCI) after a structural pivot (ZigZag) is established. By filtering for volatility (XAU TVF) and trailing risk (SuperTrend), the strategy attempts to harvest high-probability momentum bursts while protecting against the statistical noise inherent in a low-AUC model.

Components

Known failure conditions

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