SGF-Murrey Polynomial Trend System

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

Thesis

Market trends exhibit significant noise that traditional moving averages fail to filter without excessive lag. By using the Savitzky-Golay Filter for noise reduction and Murrey Math for structural support/resistance, we can identify high-probability trend entries that are mathematically likely to persist until a change in candle sentiment (Heiken Ashi) occurs. The edge lies in the combination of polynomial smoothing to identify the 'real' trend and ADX to ensure institutional participation.

Components

Known failure conditions

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