From 339a4dd482a6121c29d8c70cb1b6e352eab92890 Mon Sep 17 00:00:00 2001 From: Ken Nobak Date: Fri, 17 Apr 2026 21:22:49 +0100 Subject: [PATCH] Add hurst-calculator (R/S Hurst exponent estimation in Python) (#86) --- Readme.md | 1 + 1 file changed, 1 insertion(+) diff --git a/Readme.md b/Readme.md index afcb573..6f485ad 100644 --- a/Readme.md +++ b/Readme.md @@ -350,6 +350,7 @@ Note: the one marked as `Live Trading` has reasonable live trading support for a - [tsfresh](https://github.com/blue-yonder/tsfresh) - Automatic extraction of relevant features from time series. - [Facebook Prophet](https://github.com/facebook/prophet) - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. - [pmdarima](https://github.com/alkaline-ml/pmdarima) - A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function. +- [hurst-calculator](https://github.com/Osamwonyi18/hurst-calculator) - Rescaled Range (R/S) analysis for estimating the Hurst exponent of a time series. Classifies series as mean-reverting, random walk, or trending. NumPy-only, single-file Python. ## Visualization