Dynamic KNN-Volume SuperTrend Momentum

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Equities, Forex, Crypto · Timeframes: H1, H4, D1

Thesis

Market trends are most robust when localized volume patterns (analyzed via KNN) align with macro momentum (ADX). By using a dynamic EMA that grows with the chart's history, we create a 'memory' effect where older, more established trends require significantly more counter-momentum to break, filtering out noise in late-stage trends while allowing QQE momentum shifts to capture early exits.

Components

• Unsupported Dynamic EMA Length Test (regime) — Serves as a structural anchor. By using bar_index as the period, it creates an increasingly lagging baseline that acts as a 'generational' trend filter.
• Volume SuperTrend AI (Expo) (direction) — Filters direction using localized volume-weighted patterns and KNN classification to ensure momentum is supported by volume structure.
• ADX Crossing INGM (entry) — Provides the precise entry trigger via Directional Index crossovers, signaling the start of a directional move.
• QQE (Qualitative Quantitative Estimation) (exit) — Uses smoothed RSI momentum to exit before the trend fully reverses, protecting unrealized gains.
• Nadaraya-Watson Envelope (EMA Proxy) (risk) — Provides volatility-adjusted levels for stop-loss placement and position sizing.
• Stochastic Oscillator (confirmation) — Prevents entering at momentum extremes (overbought/oversold) to reduce the risk of buying the 'top' of a breakout.

Known failure conditions

• The Dynamic EMA length exceeds the maximum buffer capacity of the trading platform.
• The ADX INGM's inverted logic leads to persistent counter-trend entries in high-volatility environments.
• Market volatility collapses, causing the NW Envelope width to fall below the asset spread.

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.