LSTM-Regime Volatility Breakout System
Family: hybrid · Regime: trending · Complexity: high · Asset classes: FX, Equities, Crypto · Timeframes: H1, H4, D1
Thesis
Market trends are most tradable when volatility is expanding and supported by cumulative volume flow. By using an LSTM-optimized SuperTrend to filter for high-quality regimes and Bollinger Bands to identify specific volatility breakouts, we can capture the meat of a move while using volume-based momentum (TSI_CD) to exit before mean reversion occurs. The 'edge' lies in the AI's ability to adjust the SuperTrend factor to current market noise levels.
Components
- ML SuperTrend (Ultimate) - Auto-Optimized AI with LSTM (regime) — Acts as the primary regime filter, using K-Means clustering and LSTM to distinguish between 'High Quality Trend' and 'Noise' based on non-linear price features.
- Unsupported matrix remove_col (direction) — While containing a semantic error in its diagnostic code, the underlying plot(close) provides the raw price-action directional bias required to prevent counter-trend entries.
- Bollinger Bands (Standard) (entry) — Triggers entries when price exceeds standard volatility thresholds, identifying 'volatility breakouts' within the ML-defined regime.
- TSI Convergence Divergence (TSI_CD) (exit) — Exits positions when the momentum histogram flips color, capturing the deceleration of the trend before a full reversal.
- Extrem SuperTrend (risk) — Provides the structural floor/ceiling for the trade, defining the hard stop loss and the dynamic trailing mechanism.
- Price and Volume Trend (PVT) (confirmation) — Confirms that the price breakout is supported by cumulative volume flow, filtering out low-liquidity spikes.
Known failure conditions
- ML model weights fail to converge or result in 'flat' regime classification (constant noise signal).
- Price oscillates strictly between the Bollinger Bands and the Extrem SuperTrend stop, inducing a 'stop-and-reverse' death spiral.
- PVT divergence persists for over 50 bars while price trends, indicating the volume component is decoupling from price discovery.
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