Adaptive KAMA-Pearson Fibonacci Retracement Strategy

Family: trend_following · Regime: trending · Complexity: medium · Asset classes: Equities, FX, Commodities · Timeframes: H1, H4

Thesis

Markets are fractal and exhibit 'sticky' trends that can be mathematically identified by the correlation between price and an adaptive baseline (KAMA). Pullbacks to Fibonacci levels within these correlated trends represent temporary liquidity imbalances where institutional participants often re-enter, providing a high-probability entry point. Using dynamic pixel-based grid sizing ensures we only trade when the market structure is 'unfolded' enough to allow for profitable movement.

Components

Known failure conditions

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