Fundamental package for quantitative finance with Python.
-
Updated
Nov 12, 2025 - Python
Fundamental package for quantitative finance with Python.
25 structural break detection methods for univariate time series: XGBoost, Neural Networks, Ensembles, Reinforcement Learning, and Statistical approaches. Evaluated on cross-dataset generalization.
Add a description, image, and links to the structural-breaks topic page so that developers can more easily learn about it.
To associate your repository with the structural-breaks topic, visit your repo's landing page and select "manage topics."