ATOM Logit-Structural Hybrid

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

Thesis

The ATOMUSDT market exhibits idiosyncratic momentum patterns driven by specific liquidity structures (FVGs). By combining a logistic regression model tuned to these features with lag-minimized trend filters (HMA/ZLSMA) and structural risk anchors (Boxline), we can isolate high-probability entry windows during the transition from consolidation to trend, while the Parabolic SAR trailing exit allows for riding extended volatility expansions.

Components

• Hull Moving Average (HMA) (regime) — Provides the macro-trend bias (regime) with minimal lag, filtering for directional alignment.
• Zero Lag Least Squares Moving Average (ZLSMA) (direction) — Acts as the immediate directional filter to ensure price action is currently moving in the direction of the trade.
• ATOM Coefficient Indicator (logit) (entry) — Provides a probabilistic entry trigger based on specific ATOM market structure and momentum features.
• Parabolic SAR (exit) — Functions as a trailing stop-loss to capture trend extensions and exit when acceleration fades.
• Boxline (Range Breakout) (risk) — Defines the local volatility floor/ceiling for hard stop-loss placement and risk-per-trade calculation.
• Stochastic Oscillator (confirmation) — Confirms momentum is not exhausted (overbought/oversold) and ensures a bullish/bearish crossover at entry.
• MA-Candlesticks (volatility_filter) — Filters out noise by ensuring the smoothed average of candle bodies is directional, acting as a volatility/trend filter.

Known failure conditions

• ATOM Coefficient Indicator AUC falls below 0.50 consistently over a 30-day window.
• Market enters a low-volatility 'stale' period where Boxline ranges do not reset for more than 48 hours.
• Strategy drawdown exceeds 2.5x the expected historical maximum, suggesting the logit model coefficients have decayed.

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