Neural-Hull Pitchfork Breakout

Family: trend_following · Regime: trending · Complexity: high · Asset classes: Forex, Crypto, Large-Cap Equities · Timeframes: 30m, 1h, 4h

Thesis

Market trends are most tradable when momentum (ADX/DEMA) and volatility release (NNFX Squeeze) align with a locally-optimized machine learning consensus. By further filtering these entries through geometric market structure (Auto Pitchfork) and lag-reduced filters (HMA), we can identify high-probability trend legs while avoiding structural exhaustion. This edge exists because it capitalizes on the clustering of institutional 'smart money' movements that typically precede volatility expansions.

Components

• Hull Moving Average (HMA) (regime) — Filters the macro trend; long trades only allowed when price is above HMA, short below.
• ML SuperTrend (Ultimate) - Auto-Optimized AI with LSTM (direction) — Provides mid-term trend bias and volatility-adjusted entry signals developed through atmospheric/local learning.
• DEMA 200 & ADX Combined HUD (entry) — Ensures entry occurs in a confirmed momentum environment (ADX > 20) with price alignment relative to the long-term DEMA.
• ATR SL Finder (exit) — Sets volatility-based stop loss levels to avoid premature exits during noise.
• Auto Pitchfork (risk) — Provides market structure boundaries; limits position sizing or entry if the price is extended near the final Median Line channels.
• NNFX Squeeze (Volatility Breakout) (confirmation) — Confirms that energy is being released from a period of low volatility, reducing the risk of entering late in a trend.

Known failure conditions

• Price frequently touches the ATR SL but then continues in the original direction, indicating the multiplier is insufficient for current noise levels.
• The ML SuperTrend enters a loop of frequent flipping in low-volume 'holiday' markets.
• NNFX Squeeze remains 'on' for extended periods without price movement, indicating a failure of volatility breakout logic.

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