Module hurst 

Hurst Exponent feature extractor wrapper.

Wraps the existing HurstExponent to provide a clean ML feature interface (persistence value + optional regime classification).

This is one of the highest-ROI single features for ML/regime work:

• H < 0.5 → mean-reverting (anti-persistent)
• H ≈ 0.5 → random walk
• H > 0.5 → trending (persistent)

Source: quantwave-core/src/indicators/hurst.rs (Rescaled Range implementation)

Structs

HurstFeatureExtractor

Wrapper that turns the existing HurstExponent into a feature-rich extractor.

HurstFeatures

Rich output for Hurst-based features.