Fractal-LSTM Hybrid Regime System

Family: hybrid · Regime: trending · Complexity: high · Asset classes: FX, Equities, Crypto · Timeframes: 1H, 4H, 1D

Thesis

Market price discovery often happens in 'bursts' that follow structural breakouts (Fractals). By using an LSTM to forecast the underlying volatility regime and an ADX to confirm trend presence, we can filter out the high-frequency noise that typically plagues breakout systems. The edge is generated by waiting for high-confluence moments where AI-optimized direction, momentum, and price structure all align simultaneously, then using a speed-adaptive exit (McGinley) to capture the trend duration.

Components

Known failure conditions

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).


Open the interactive page on WOBR AI → · WOBR.AI home