|
| 1 | +# Changelog |
| 2 | + |
| 3 | +All notable changes to the MeridianAlgo package will be documented in this file. |
| 4 | + |
| 5 | +The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), |
| 6 | +and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). |
| 7 | + |
| 8 | +## [3.0.0] - 2025-09-08 |
| 9 | + |
| 10 | +### Added |
| 11 | +- **Machine Learning Enhancements** |
| 12 | + - Added support for PyTorch-based LSTM models |
| 13 | + - Implemented feature engineering pipeline |
| 14 | + - Added data preprocessing and scaling utilities |
| 15 | + |
| 16 | +### Changed |
| 17 | +- **Dependencies** |
| 18 | + - Updated required Python version to 3.8+ |
| 19 | + - Added PyTorch as a core dependency |
| 20 | + - Updated all existing dependencies to their latest stable versions |
| 21 | + |
| 22 | +### Fixed |
| 23 | +- **Bug Fixes** |
| 24 | + - Resolved issues with empty data handling in ML pipelines |
| 25 | + - Fixed compatibility issues with newer versions of dependencies |
| 26 | + - Improved error handling and logging throughout the codebase |
| 27 | + |
| 28 | +## [2.2.1] - 2025-09-08 |
| 29 | + |
| 30 | +### Added |
| 31 | +- **Documentation Overhaul** |
| 32 | + - Completely redesigned README with better organization and visual hierarchy |
| 33 | + - Added comprehensive installation and quick start guides |
| 34 | + - Included detailed feature documentation with code examples |
| 35 | + - Added performance metrics and system requirements |
| 36 | + |
| 37 | +### Changed |
| 38 | +- **Package Structure** |
| 39 | + - Updated version to 2.2.1 to reflect documentation improvements |
| 40 | + - Enhanced module imports and organization |
| 41 | + - Improved error messages and logging |
| 42 | + |
| 43 | +### Fixed |
| 44 | +- **Documentation** |
| 45 | + - Fixed broken links and outdated information |
| 46 | + - Corrected code examples and usage instructions |
| 47 | + - Ensured all API references are up-to-date |
| 48 | + |
| 49 | +## [2.2.0] - 2025-09-08 |
| 50 | + |
| 51 | +### Added |
| 52 | +- **Advanced Statistical Analysis** |
| 53 | + - New `StatisticalArbitrage` class for pairs trading strategies |
| 54 | + - Cointegration tests and correlation analysis |
| 55 | + - Rolling correlation calculations |
| 56 | + - Hurst exponent for mean reversion/trend detection |
| 57 | + |
| 58 | +- **Risk Metrics** |
| 59 | + - Value at Risk (VaR) calculation |
| 60 | + - Expected Shortfall (CVaR) implementation |
| 61 | + - Maximum Drawdown analysis |
| 62 | + - Comprehensive input validation and error handling |
| 63 | + |
| 64 | +- **Performance Metrics** |
| 65 | + - Sharpe Ratio calculation |
| 66 | + - Sortino Ratio implementation |
| 67 | + - Risk-adjusted return metrics |
| 68 | + |
| 69 | +## [2.1.0] - 2025-08-02 |
| 70 | + |
| 71 | +### Bug Fix Release |
| 72 | +- Enhanced Ara AI integration with latest improvements |
| 73 | +- Updated ensemble ML models with better accuracy |
| 74 | +- Improved GPU support and performance optimizations |
| 75 | +- Enhanced caching system and prediction validation |
| 76 | +- Updated documentation and examples |
| 77 | + |
| 78 | +## [2.0.0] - 2024-01-29 |
| 79 | + |
| 80 | +### Major Release - Complete System Overhaul |
| 81 | +- Added ensemble ML system with Random Forest, Gradient Boosting, and LSTM |
| 82 | +- Implemented 50+ technical indicators |
| 83 | +- Added multi-GPU support (NVIDIA, AMD, Intel, Apple) |
| 84 | +- Comprehensive prediction validation and accuracy tracking |
| 85 | +- Professional console output with rich formatting |
0 commit comments