Master the production-ready Hidden Regime pipeline: one-line setup, automated regime classification, duration analysis, and model selection for real-world regime detection.

Learn how to apply HMM regime detection to real trading: regime-specific risk analysis, dynamic position sizing, technical indicator integration, and backtesting strategies.

I am pleased to announce the release of v1.0.0 of the hidden-regime Python module. GitHub PyPI Changelog All notable changes to this project will be documented in this file. The format is based on Keep a Changelog, and this project adheres to Semantic Versioning. [1.0.0] - 2025-09-30 Added Complete Documentation …