ATOM Coefficient Indicator (logit)

Category: momentum, market_structure

A logistic regression model ported from Python specifically for ATOMUSDT 15m, utilizing standard indicators and market structure features (FVGs, Liquidity, Swing Pressure) to predict direction.

Formula

P = \frac{1}{1 + e^{-\text{score}}} \\ \text{score} = \text{intercept} + \sum_{i=1}^{n} w_i \cdot \frac{feature_i - \text{mean}_i}{\text{scale}_i} \\ \text{Signal} = \begin{cases} \text{Long} & \text{if } P > 0.55 \\ \text{Short} & \text{if } P < 0.45 \end{cases}

Inputs

• upTh (default: 0.55)
• dnTh (default: 0.45)
• tpAtr (default: 3.5)
• slAtr (default: 2.0)
• fvgMinAtr (default: 0.05)

See signal primitives and every published strategy that uses ATOM Coefficient Indicator (logit) on WOBR StrategyVerse.