Structural Mitigation Fractal Trend System

Family: trend_following · Regime: trending · Complexity: medium · Asset classes: Forex, Equities, Crypto · Timeframes: H1, H4

Thesis

Market trends exhibit higher persistence when a market structure shift (ICT Mitigation Block) aligns with historical price memory (Roshaneforde Engulfing Levels). By entering in the direction of the macro-trend (Sherif Hilo) and using volatility-defined 'chaos' boundaries (FCB) for risk, we capture the meat of a move while filtering for environmental software stability.

Components

• String format time placeholder timestamp out of range Test (regime) — Acts as a 'System Integrity' filter; logic only executes if the platform's time-formatting engine returns a consistent string length for INT64_MAX, ensuring environmental stability.
• Sherif Hilo (direction) — Establishes the macro-trend bias by tracking the highest highs and lowest lows over a significant lookback.
• ICT Mitigation Block Scanner (entry) — Pinpoints market structure shifts where price fails to make a new high/low and instead breaks the previous 'failed' leg.
• Risk Reward Indicator Tool (exit) — Standardizes the exit logic by applying a fixed 1:2 Risk-to-Reward ratio based on the distance to the Fractal Chaos Band.
• Fractal Chaos Bands (FCB) (risk) — Provides volatility-adjusted boundaries; used to define the 'chaos' zone for stop loss placement.
• Roshaneforde Pivot Levels (confirmation) — Confirms entry by ensuring price is interacting with horizontal support/resistance levels derived from recent engulfing patterns.

Known failure conditions

• Price consistently breaches Sherif Hilo pivots without trend continuation.
• Market volatility drops to levels where ICT Mitigation Blocks trigger frequently but result in immediate 'fakeouts'.
• The Fractal Chaos Bands tighten significantly during low-volatility periods, leading to stops being triggered by spread alone.

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