SMC-Neural Compass Momentum Hybrid

Family: hybrid · Regime: trending · Complexity: high · Asset classes: FX, Gold (XAUUSD), Indices · Timeframes: H1, H4

Thesis

The strategy hypothesizes that market character changes (CHoCH) are most predictive when aligned with specific order flow momentum angles and confirmed by a neural network's non-linear interpretation of candle positioning (CLV). By entering only when structure, momentum, and neural filters align, and using volatility-adjusted exits, the strategy aims to capture the 'meat' of institutional trend expansions while filtering retail traps.

Components

• GHOST OrderFlow Dashboard — DerivEAPro v10 (regime) — Acts as a high-level regime filter, ensuring momentum is directionally aligned according to the compass-mapped angle theta.
• TradeEase (direction) — Identifies structural shifts (CHoCH) or continuations (BOS) to provide the primary directional bias.
• MACD Demo Implementation (entry) — Provides the final execution trigger based on EMA-derived momentum convergence.
• UTBot Alerts (exit) — Provides a dynamic trailing stop based on ATR volatility to capture trend extensions while protecting profits.
• Point Based Grid (risk) — Standardizes stop-loss placement and position sizing calculation based on fixed point-based market increments.
• Neural Network Indicator (NNind) (confirmation) — Validates the entry using a non-linear MLP model to filter out low-probability price action clusters.

Known failure conditions

• Market price oscillates within a single 30-point grid interval for extended periods (flat regime).
• Repeated CHoCH signals at the same price level indicating a lack of directional conviction.
• Extreme volatility spikes where ATR-based UTBot exits trigger prematurely before the grid-based SL is reached.

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.