KNN-Volume Flow Momentum Synchronizer

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

Thesis

The hypothesis is that trend-following success is maximized when momentum rotations (Williams %R) are synchronized with institutional money flow (CMF) and statistically significant trend regimes (KNN SuperTrend). By using Volume-Weighted Moving Averages as the basis for trend, we filter out price movement that lacks substantial backing, while the GFRMa multi-indicator filter ensures that the momentum is broad-based across RSI and CCI metrics before entry.

Components

• Chaikin Money Flow (CMF) (regime) — Establishes the underlying accumulation/distribution regime; trades are only taken in the direction of institutional money flow.
• Volume SuperTrend AI (Expo) (direction) — Provides the primary directional bias using a KNN-filtered volume-weighted trend to filter out low-conviction price action.
• Williams %R (entry) — Identifies short-term momentum exhaustion (oversold/overbought) for precise entry timing on pullbacks within the trend.
• Chandelier Exit (exit) — Acts as a dynamic trailing stop-loss that adjusts based on volatility, protecting profits during trend extensions.
• Price Line and Visible Range High-Low (risk) — Defines the initial hard stop-loss based on visible market structure (recent highs/lows) and ensures the trade is positioned within current liquidity bounds.
• Stochastic Oscillator (confirmation) — Confirms that momentum is actively rotating back into the direction of the trend following the Williams %R signal.
• GFRMa Pivot HTF3 Dashboard (volatility_filter) — Serves as a volatility and multi-timeframe filter; requires RSI and CCI to align with the trade direction to ensure broad market support.

Known failure conditions

• CMF oscillates around zero with low amplitude for extended periods (indicates lack of conviction).
• The Chandelier Exit is consistently triggered by noise before price reaches the 1:1 reward-to-risk ratio.
• KNN labels in the SuperTrend AI flip frequently (signal instability).

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).