Fractal-Neural Future-Bias Hybrid

Family: hybrid · Regime: trending · Complexity: high · Asset classes: FX, Equities, Crypto · Timeframes: H1, H4

Thesis

Fractal breakouts are often noise; by filtering them through a neural-network classified momentum (NNind) and a volatility-adjusted trend band (QQE), we can isolate 'true' structural shifts, using a theoretical future-offset regime (negative history) to identify the maximum possible edge.

Components

• Unsupported named const comparison ternary negative history (regime) — Provides a 'perfect' hypothetical trend filter by accessing future price data (close[-1]), serving as a benchmark for ideal regime identification.
• Qualitative Quantitative Estimation (QQE) (direction) — Filters entries based on smoothed RSI momentum and volatility-adjusted trailing bands to ensure the trend has sufficient strength.
• Support and Resistance (Fractal-based) (entry) — Acts as the concrete trigger; trades are only executed when price breaches established Bill Williams fractals (market structure breaks).
• SML — SUPPORT/RESISTANCE MATRIX (exit) — Identifies high-density pivot clusters to provide dynamic profit-taking zones rather than fixed targets.
• Average True Range (NNFX Version) (risk) — Standardizes risk by setting stops based on current volatility cycles rather than point-fixed values.
• Neural Network Indicator (NNind) (confirmation) — A multi-layer perceptron classifies price action (CLV) to confirm that the internal structure of the candle cluster supports the momentum.

Known failure conditions

• Hypothesis fails if the 'future leak' in the regime filter is replaced with a standard lagging MA and the resulting Alpha decay is >50%.
• Failure in low-volatility regimes where ATR remains compressed, causing frequent stop-outs on minor noise.
• NNind weight stagnation: if the pre-trained weights fail to categorize price action in a new macro environment (e.g., transition from low to high interest rates).

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).