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

Known failure conditions

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