SMC-KNN Volatility Cluster Hybrid

Family: hybrid · Regime: trending · Complexity: high · Asset classes: FX, EQUITIES, CRYPTO · Timeframes: H1, H4

Thesis

Market structure (SMC) provides the map of institutional liquidity, but structural breaks often fail without volume confirmation and low-lag momentum. By combining SMC zones with a KNN-weighted volume trend and GARCH-based risk scaling, we can exploit the institutional 'footprints' while mathematically filtering the noise and volatility clustering that typically lead to retail stop-outs.

Components

• SMC Visualizer (ICT Library) (regime) — Defines the high-probability 'Point of Interest' (POI) by identifying structural Breaks of Structure (BOS) and Order Blocks where institutional liquidity resides.
• Ehlers SuperSmoother Filter (direction) — Acts as a low-lag directional filter to ensure trade execution aligns with immediate price momentum, filtering out SMC noise.
• Volume SuperTrend AI (Expo) (entry) — Combines volume-weighted price action with KNN-classified historical patterns to provide a high-conviction trigger signal.
• Average True Range (Standard MQ4) (exit) — Provides a volatility-adjusted exit mechanism (trailing stop) to capture trend extensions without being prematurely stopped out.
• Conditional Volatility (CV) (risk) — Uses GARCH(1,1) modeling to scale position size inversely to annualized risk, accounting for volatility clustering.
• Spread Monitor (Tick-Level) (volatility_filter) — Prevents entry during periods of low liquidity or high slippage which often occur at structural breaks.

Known failure conditions

• Prolonged ranging periods where SMC BOS/CHoCH signals frequently flip-flop (whipsaw).
• Failure of KNN classification to adapt to new market regimes (stationary data assumption).
• Significant slippage or spread widening during news events that the Spread Monitor cannot preemptively block.

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).