KNN-Confluence Multi-Layer Trend System
Family: hybrid · Regime: trending · Complexity: high · Asset classes: Equities, Forex, Indices · Timeframes: H1, H4, D1
Thesis
The strategy assumes that high-probability entries exist at the intersection of structural regime strength (IAE), volume-weighted trend persistence (SuperTrend AI), and cyclical momentum alignment (Solar Wind). By filtering for transaction costs and range-extension (Midpoint), the strategy identifies 'sweet spots' where trend-following momentum is likely to continue before cycle exhaustion. It bets that smoothed RSI of averages (RSIOMA) captures the 'true' momentum better than raw price RSI.
Components
- IAE — Technical Confluence Score (regime) — Acts as the primary regime filter to ensure the strategy only operates when multiple technical layers (volume, breadth, trend) align, reducing trades in fragmented markets.
- Volume SuperTrend AI (Expo) (direction) — Combines volume-weighted price action with KNN classification to provide a direction that accounts for both trend persistence and historical price-pattern similarity.
- RSIOMA (RSI of Moving Average) (entry) — Uses a smoothed RSI to trigger entries, filtering out the high-frequency noise of standard RSI while focusing on the momentum of the underlying trend.
- GoldenChart MACD (exit) — Used for exit timing by identifying momentum exhaustion through histogram color changes or signal line crossovers.
- Spread Display and Alert (risk) — Hard volatility/liquidity gate; prevents execution during news events or low-liquidity sessions where slippage destroys the edge.
- Solar Wind NRP (MQL5) (confirmation) — Provides a cyclical confirmation using the Fisher Transform, ensuring entry occurs during the expansion phase of a cycle.
- MIDPOINT: Rolling Midpoint (volatility_filter) — Serves as a volatility/extension filter to ensure price has not deviated too extremely from its recent median range before entry.
Known failure conditions
- IAE score remains stagnant between 40-60 for extended periods, indicating a total loss of market structure.
- KNN prediction accuracy drops (visualized as frequent SuperTrend flips) in high-volatility chop.
- Spread consistently exceeds entry thresholds, indicating the strategy is unviable on the chosen instrument/broker.
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.