OI-Flow KNN SuperTrend Hybrid

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Futures, Commodities (XAU/USD) · Timeframes: H1, H4

Thesis

Institutional trends are distinguishable from retail noise by the correlation between price movement and Open Interest (OI) expansion. This strategy assumes that a trend initiated by a volume-weighted VWMA shift and confirmed by rising OI represents a 'Smart Money' entry. By using a KNN classifier, the strategy adapts to local volatility conditions, while the scalping exit (Restu Kaioh) capitalizes on the parabolic 'exhaustion' phase often seen when retail FOMO peaks. Williams Fractals provide a non-arbitrary, structure-based risk floor.

Components

• Open Interest Stochastic Money Flow Index (regime) — Filters for regimes where price action is supported by institutional commitment (Open Interest) rather than retail-driven churn.
• SuperTrend (direction) — Provides the primary volatility-adjusted directional bias to ensure trades align with the dominant trend.
• Volume SuperTrend AI (Expo) (entry) — Uses KNN classification on volume-weighted data to identify high-probability entry clusters within the established trend.
• Restu Kaioh Scalping Indicator (exit) — Identifies short-term momentum exhaustion for precision exits in a trending market.
• Williams Fractals (risk) — Determines logical stop-loss placement based on validated swing high/low market structure.

Known failure conditions

• Open Interest remains flat during price breakouts, indicating lack of institutional follow-through.
• Market enters a tight bracket where Williams Fractals are triggered prematurely before trend realization.
• KNN classification fails to find stable clusters in hyper-volatile news events.

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.