ATOM Structural Logit with Kalman-Pitchfork Risk

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

Thesis

ATOMUSDT price direction can be predicted using a logistic regression of localized market structure (Fair Value Gaps and Swing Pressure). This edge is most effective when the broader crypto market (proxied by ETHBTC) is in a stable, mean-reverting state, and macro-trend filters (SuperTrend) align with micro-momentum (MACD). Geometric boundaries (Pitchforks) provide a superior alternative to fixed-pip stops by accounting for the non-linear path of price discovery.

Components

Known failure conditions

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