ATOM Logit-Fractal Expansion Suite

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

Thesis

ATOMUSDT exhibits momentum clustering when trading outside of the previous day's value range. This edge can be captured by combining a low-accuracy but statistically significant logistic regression model with structural breakout signals (Fractals) and volume confirmation. The edge is driven by behavioral FOMO and liquidations during range expansions.

Components

• Daily High Low MTF (regime) — Defines the trading environment: expansion is only sought when price is outside the previous day's value area.
• ATOM Coefficient Indicator (logit) (direction) — Provides a momentum-bias backbone based on historical ATOM-specific logistic regression features.
• Williams Fractals (entry) — Determines precise entry timing by waiting for local liquidity sweeps or market structure shifts.
• HiLo_04 (Gann HiLo Activator) (exit) — Trend-following trailing stop that provides a dynamic exit as volatility contracts or trend reverses.
• Boxline (Dynamic Range Breakout) (risk) — Defines the risk boundary; the logic assumes that if price breaches the boundary of the 'box' containing the entry, the setup is invalidated.
• Footmap – Heat & Volume [v1] (confirmation) — Filters entries by ensuring the synthetic buy/sell delta aligns with the trade direction, verifying 'aggressive' volume presence.

Known failure conditions

• ATOMUSDT shows a prolonged period of consolidation within the previous day's DHL range for >1 week.
• The ATOM Coefficient model's performance drops significantly below 0.50 accuracy, indicating model decay.
• Transaction costs (slippage + fees) exceed 50% of the average win size due to the 15m frequency.

Explore the full interactive blueprint with parameter ranges and evidence on WOBR StrategyVerse, or generate this strategy as an MT4/MT5 Expert Advisor with QuantMogul AI Engine (free download).