Statistical Volatility Grid with Cyclical Entry

Family: hybrid · Regime: mixed · Complexity: high · Asset classes: FX, Equities · Timeframes: H1, H4

Thesis

The strategy assumes that currency pairs exhibit cyclical behavior within volatility-defined boundaries. By identifying periods where momentum (ASH) and relative currency strength (CSM) align with a cycle extreme (Fisher), we can enter trades that are likely to revert to a statistical mean. The edge lies in using a second, correlated asset (AI Pair System) to define the exit, assuming that statistical relationships between pairs are more reliable than fixed Take Profit levels.

Components

Known failure conditions

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