Ichimoku-Darvas Error-Adjusted Trend Follower

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

Thesis

Market trends are most tradable when a macro-regime (Ichimoku) aligns with a local structural breakout (Darvas). However, trend-following often fails when price noise increases. By using Relative Absolute Error (RAE) to measure how well a low-lag model (ZLSMA) is currently tracking price, we can dynamically widen stops and reduce position size during 'noisy' breakouts, only taking high-conviction positions when price behavior is statistically 'orderly' relative to the trend.

Components

Known failure conditions

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