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.
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