Fractal ML-Volume Breakout Engine
Family: breakout · Regime: trending · Complexity: high · Asset classes: FX, Equities, Crypto · Timeframes: H1, H4
Thesis
The hypothesis is that institutional 'smart money' accumulation/distribution is visible through the Intraday Intensity Index (III) and Volumatic levels. When these volume signals align with an AI-optimized trend and a breakout from a fractal 'chaos' zone, it identifies the start of a high-momentum trend phase. The edge exists because price breakouts from volume-dense areas often represent a shift in market equilibrium that retail momentum alone cannot sustain.
Components
- Fractal Chaos Bands (FCB) (regime) — Filters market noise by defining the boundaries of 'chaos'; used to ensure the trade is taken during a breakout of a non-trending range.
- ML SuperTrend (Ultimate) - Auto-Optimized AI with LSTM (direction) — Provides the primary trend bias using an LSTM-optimized engine to adapt to local volatility.
- Volumatic Support/Resistance Levels [BigBeluga] (entry) — Triggers entries specifically when price breaks through volume-dense nodes, indicating a high-conviction move.
- HiLo Activator (Gann Style) (exit) — Acts as a trailing stop-loss mechanism that follows price based on the moving average of highs/lows.
- Support and Resistance (Fractal-based) (risk) — Provides hard price levels for initial stop-loss placement based on Bill Williams' 5-bar fractal patterns.
- Intraday Intensity Index (III) (confirmation) — Confirms that institutional volume flow is supporting the price direction within the daily range.
- GFRMa Pivot HTF3 Dashboard (volatility_filter) — Acts as a momentum filter to ensure RSI and CCI are aligned with the breakout direction.
Known failure conditions
- Price oscillates between Fractal Chaos Bands for extended periods (market compression).
- The ML SuperTrend alternates signals frequently (overfitting in low-volatility regimes).
- Volume intensity (III) remains near zero despite price movement, indicating retail-driven exhaustion.
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