DPO-Logit Volatility Proximity Trader

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Crypto (ATOMUSDT preferred) · Timeframes: 15m

Thesis

The strategy hypothesizes that ATOMUSDT exhibits cyclical pullbacks within broader volatility-adjusted trends. By using a logistic regression model to assess the probability of a direction change while simultaneously using DPO to time the exit of a short-term cycle, we can capture high-probability trend continuation entries. The MdAE ensures trade entry only occurs when forecast error (volatility) is sufficient to cover costs.

Components

Known failure conditions

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