Recursive Logit Drift Trend-Follower

Family: trend_following · Regime: trending · Complexity: high · Asset classes: Crypto (ATOM/USDT preferred), Major FX Pairs · Timeframes: 15m, 1h

Thesis

Trend persistence is highest when (1) an asset exhibits non-random statistical drift, (2) the underlying currency shows strength across a broad basket, and (3) micro-structure factors like liquidity gaps (FVGs) align with the directional bias. By using a recursive smoothing trigger (RMAU) only when these conditions are met, we filter out noise-induced 'fakeouts' common in standard trend systems.

Components

Known failure conditions

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