Implement Hurst Exponent (HE) indicator #8434
Merged
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Description
This pull request introduces the Hurst Exponent indicator, which measures the long-term memory or self-similarity in a time series. The indicator helps analyze the persistence or mean-reversion behavior of a time series, providing valuable insights into market trends and volatility.
Related Issue
Closes #3924
Motivation and Context
The Hurst Exponent indicator is essential for quantitative analysis as it helps identify the nature of trends in financial time series data.
Requires Documentation Change
Yes, the documentation should be updated to include usage instructions for the Hurst Exponent indicator
How Has This Been Tested?
The Hurst Exponent indicator has been tested using unit tests that verify the calculation of the indicator over historical data. This includes testing edge cases and validating the computation of standard deviation and regression line slope.
Types of changes
Checklist:
bug-<issue#>-<description>
orfeature-<issue#>-<description>