TLB-KNN Pullback Navigator
Family: hybrid · Regime: trending · Complexity: high · Asset classes: FX (XAU/USD preferred), Equities · Timeframes: H1, H4
Thesis
Market trends are most tradable when structural noise is removed (via TLB) and the current price vector is statistically similar to historical trend continuations (via KNN). By entering only when an oscillator indicates a temporary counter-trend pullback, the strategy captures the most efficient leg of the trend while using Floor Pivots as objective barriers for risk.
Components
- Three-Line Break (TLB) with MA (regime) — Acts as the primary regime filter to ensure the strategy only operates during non-random structural price movement, ignoring minor fluctuations.
- AI Trend Navigator [K-Neighbor] (direction) — Provides a non-linear trend forecast by comparing current price vectors to historical analogues, ensuring the trend has statistical 'memory' support.
- Restu Kaioh Scalping Indicator (entry) — Identifies local mean-reversion opportunities (pullbacks) within the broader trend established by the TLB and KNN components.
- MACD (exit) — Used to detect momentum exhaustion and trend shifts for objective trade termination.
- Pivot Point S&R with GMT Correction (risk) — Provides fixed price levels for stop-loss placement and profit-taking based on prior-day volatility rather than lagging indicators.
- MACD Demo Implementation (confirmation) — Acts as a momentum confirmation to ensure that the pullback identified by the entry indicator is starting to rotate back into the trend direction.
Known failure conditions
- KNN prediction oscillates rapidly between bars, indicating lack of historical pattern consistency.
- Price remains pinned between Pivot S1 and R1 for more than 48 hours (low volatility environment).
- TLB blocks fail to form for extended periods despite price movement, indicating a breakdown in the noise-filtering logic.
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.