Silver-Sweep KNN Momentum Hybrid

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Equities, FX, Crypto · Timeframes: 15M, 1H

Thesis

Market participants often place stop-loss orders around recent swing levels; institutional 'stop-hunting' creates a liquidity sweep that provides a high-probability reversal entry if the broader trend is supported by volume (KNN SuperTrend) and momentum (SilverTrend). By timing the entry with a zero-lag cyclic oscillator (CG) after a sweep, we capture the trend resumption with superior risk/reward.

Components

SilverTrend Sv2 (regime) — Provides the primary trend regime filter using range-based price levels to distinguish between bullish and bearish market phases.
Momentum (Example) (direction) — Acts as a secondary directional filter to ensure that the liquidity sweep occurs within a move that still possesses underlying velocity.
Ehlers Center of Gravity (CG) (entry) — Identifies the exact turning point of the price cycle with minimal lag after the liquidity sweep has occurred.
Relative Vigor Index (RVI) (exit) — Provides a momentum-based exit signal to close positions if the conviction of the move fades before the target is reached.
Reversal Engine Score v1 (risk) — Handles the core logic of liquidity sweeps, ATR-based risk distancing, and quality filtering based on market structure.
Volume SuperTrend AI (Expo) (confirmation) — Uses KNN-classified volume-weighted trend states to confirm that the trend is supported by volume and historical price-proximity patterns.

Known failure conditions

Extended periods of extremely low volatility where liquidity sweeps are frequent but lack follow-through.
Market regimes where the SilverTrend indicator oscillates rapidly due to its indexing errors.
Failure of the KNN algorithm to classify trends correctly in 'black swan' high-volatility 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.