QuantAnalytics is a library designed for researching quantitative trading strategies and analyzing statistical relationships. It provides a seamless interface for performing statistical research, backtesting strategies, and generating comprehensive reports.
- Statistical Research: Offers tools for conducting basic statistical research, exploring quantitative relationships, and performing in-depth data analysis.
- Backtesting: Includes a vectorized backtesting engine to test strategies efficiently on large datasets.
- Report Generation: Generates PDF reports with detailed charts, tables, and results from research and backtests.
- Wrappers for Statistical Libraries: Provides user-friendly outputs for commonly used statistical libraries, improving usability.
- End-to-End Workflow: Streamline the process from research to strategy validation and reporting.
- Developing and testing quantitative trading strategies.
- Exploring statistical relationships in market data.
- Generating detailed reports for data analysis and strategy validation.
- Automating backtests and result visualizations for systematic research.
You can install quant-analytics directly from PyPI:
pip install quant-analyticsComprehensive documentation, including tutorials and API references, is coming soon!
Contributions are welcome! Feel free to open issues or submit pull requests to enhance the library.
This project is licensed under the Apache-2.0 License.