Fisher-Log Trend Optimizer

Family: trend_following · Regime: trending · Complexity: high · Asset classes: FX, Equities, Crypto · Timeframes: H1, H4, D1

Thesis

Markets exhibit semi-cyclical momentum thrusts within established trends. By using log-scale error (MSLE) to measure volatility and Fisher-transformed cycle timing, we can enter trends during 'rational' acceleration phases and exit when the second derivative of momentum (OsMA) begins to decay.

Components

• HiLo Activator (Pandini Version) (regime) — Establishes the macro trend regime; ensures trades are only taken in the direction of the dominant smoothed price action.
• Sherif Hilo (direction) — Refines directionality by requiring a breakthrough of local HHV/LLV channels, filtering out minor retracements.
• Commodity Channel Index (Rosasurfer Framework) (entry) — Acts as the trigger by identifying momentum thrusts across the +/- 100 threshold into 'overextended' territory.
• MACD & OSMA Cloud Hybrid (exit) — Signals an exit when the OsMA histogram changes color (showing momentum exhaustion) or when the MACD cloud narrows.
• Mean Squared Logarithmic Error (MSLE) (risk) — Quantifies the 'unnatural' distance price has moved from its average to determine stop-loss distance and position scaling.
• Solar Wind NRP (MQL5) (confirmation) — Provides cyclical confirmation that the entry is not at the localized peak of a Fisher-transformed cycle.
• Grid Bot [Grid range plugin] Two Moving Avarages [psyll] (volatility_filter) — Ensures the trade is executed while price is within a 'rational' volatility band, avoiding entries during extreme parabolic blow-offs.

Known failure conditions

• Persistent sideways price action where MSLE remains low but HiLo/Sherif flip constantly.
• Failure of the Solar Wind NRP to filter cycle tops, leading to entries at the exact moment of reversal.
• Price staying outside the Grid Bot deviation bands for extended periods during trend shifts.

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