ML-Enhanced Structural Retracement System

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

Thesis

Market trends are driven by institutional liquidity 'walls' and volatility-adjusted momentum. By identifying a macro regime (Extrem SuperTrend) and a micro-trend (ML SuperTrend), we can exploit the behavioral tendency of price to retrace to key structural levels (Fibonacci) before continuing the trend. The edge lies in filtering for consistent data frequency (V3-CORPUS) and using non-lagging institutional levels (Q-Levels) for risk management, rather than standard volatility-based stops.

Components

Extrem SuperTrend (regime) — Defines the macro trend regime and provides a volatility-adjusted baseline to prevent trading against the primary trend.
ML SuperTrend (Ultimate) - Auto-Optimized AI with LSTM (direction) — Provides micro-trend directionality using an LSTM-optimized factor to adapt to shifting local volatility regimes.
Auto Fibonacci (entry) — Identifies high-probability entry points by waiting for price to retrace to the 0.5 or 0.618 levels within a confirmed trend.
Heiken Ashi (exit) — Filters out minor price noise during the trend, providing a visual and mechanical exit signal based on candle color change.
Q-Levels V2.2 (risk) — Utilizes external liquidity data (Gamma walls, institutional levels) for precise, non-lagging stop loss placement and risk assessment.
V3-CORPUS-FRACTIONAL-SERIES-DIVISION-INT (volatility_filter) — Acts as a data integrity filter to ensure bar duration is consistent and prevents entries during illiquid periods or data feed gaps.

Known failure conditions

The ML model experiences 'catastrophic forgetting' where the local optimization fails to adapt to a new volatility regime.
The manual Q-Levels data feed is not updated, leading to stop-loss placement on stale market structure.
Price remains in a persistent 'sawtooth' pattern that triggers both SuperTrends but never reaches Fib retracement levels.

Explore the full interactive blueprint, parameter ranges and evidence on WOBR StrategyVerse, or generate this strategy as an MT4/MT5 Expert Advisor with QuantMogul AI Engine.