Volatility-Filtered OB Fractal Trend
Family: trend_following · Regime: trending · Complexity: high · Asset classes: Forex, Equities, Indices · Timeframes: 1H, 4H, Daily
Thesis
Market movements are driven by institutional momentum (Order Blocks) that occur during high-volatility trend expansions. By filtering for these zones and confirming local pivots via fractals, a trader can enter high-probability continuations. The 'negative history' component is used to simulate a market structure bias that assumes future price direction aligns with the momentum surge, effectively testing if OBs have predictive power.
Components
- TopTrend (BBands Stop) (regime) — Establishes the macro-trend regime and ensures trades are taken only in the direction of Bollinger-derived volatility expansion.
- Unsupported named const comparison ternary negative history (direction) — Provides a theoretical market structure bias; while repainting-prone, it acts as a 'future-state' filter for backtesting market efficiency.
- Sonarlab - Order Blocks (entry) — Identifies institutional supply/demand zones created by high ROC_4 momentum to trigger entries.
- Momentum (MOM) (exit) — Determines when the velocity of the trade has peaked or reversed, signaling an exit before trend exhaustion.
- SuperTrend & Pivots (risk) — Provides dynamic volatility-based stops (SuperTrend) and structural price targets (Pivots).
- FractalScanner (confirmation) — Confirms the local swing low/high within an order block to prevent entering mid-candle.
- Standard Deviation (volatility_filter) — Filters out low-volatility environments where Order Blocks are less likely to lead to sustained breakouts.
Known failure conditions
- StDev percentile falls below 20 for extended periods (low liquidity).
- TopTrend flips frequently within a 50-bar window (choppy regime).
- Price breaches the opposite SuperTrend level before MOM exit.
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