MESA-Volume Pivot Cycle Trader

Family: mean_reversion · Regime: ranging · Complexity: high · Asset classes: FX, Equities, Crypto · Timeframes: 1H, 4H, 1D

Thesis

Price reversals are most likely to occur when short-term cycles align with high-volume structural nodes (Pivot War Zones). By using Ehlers' MESA to filter out market noise and DPO to time the specific exit from 'over-extended' cyclical states within these zones, we capture mean-reversion moves before the broader market trend-following indicators react.

Components

Known failure conditions

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