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Hurst Exponent Signals

What is it?
Hurst Exponent Signals Graph

What it measures:

Quantifies long-term memory in price series to classify market behavior as trending, mean-reverting, or random walk.

How to interpret it:

  • H > 0.5: Persistent/Trending market regime (use trend-following strategies).
  • H < 0.5: Mean-reverting regime (use range-bound mean-reversion strategies).
  • H = 0.5: Brownian motion / Random walk regime.

Used for:

  • Switching execution models between trend-following and mean-reversion.

Limitations:

  • Computationally intensive and sensitive to rolling window sample sizes.