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
- Relative Strength Index (Standard) (regime) — Acts as a regime filter to ensure the market is not already overextended (overbought/oversold) before entry, filtering out late-stage trend exhaustion.
- CCI Arrows (direction) — Identifies the specific moment of momentum shifting across the zero-line to provide a directional bias.
- ADX / Connectable [Azullian] (entry) — Provides the final entry trigger by confirming that trend strength is increasing (ADX rising) and direction (DI cross) is aligned.
- Heiken Ashi (Standard MT5) (exit) — Filters intra-trend noise during the trade; an exit is triggered when the HA candle color changes, indicating a potential trend reversal.
- Murrey Math Line X (risk) — Uses fractal price levels (1/8th intervals) to define logical support/resistance for stop-loss placement and volume-based position sizing.
- Savitzky-Golay Filter (SGF) (volatility_filter) — Filters micro-volatility and noise using polynomial regression to ensure price action is trending smoothly above/below the mean.
Known failure conditions
- Price oscillates frequently across the Murrey Math 4/8 (midline) without reaching outer octaves.
- RSI remains pinned above 70 or below 30 for extended periods while ADX signals entry (strong trend exhaustion).
- SGF slope remains flat while CCI produces multiple zero-crosses (choppy noise).
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