# QuantAnalytics
[](LICENSE)
[](https://pypi.org/project/quant-analytics/)
`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.
## Features
- **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.
## Use Cases
- 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.
## Installation
You can install `quant-analytics` directly from [PyPI](https://pypi.org/project/quant-analytics/):
```bash
pip install quant-analytics
```
## Documentation
Comprehensive documentation, including tutorials and API references, is coming soon!
## Contributing
Contributions are welcome! Feel free to open issues or submit pull requests to enhance the library.
## License
This project is licensed under the [Apache-2.0 License](LICENSE).
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"description": "# QuantAnalytics\n\n[](LICENSE)\n[](https://pypi.org/project/quant-analytics/)\n\n`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.\n\n## Features\n\n- **Statistical Research**: Offers tools for conducting basic statistical research, exploring quantitative relationships, and performing in-depth data analysis.\n- **Backtesting**: Includes a vectorized backtesting engine to test strategies efficiently on large datasets.\n- **Report Generation**: Generates PDF reports with detailed charts, tables, and results from research and backtests.\n- **Wrappers for Statistical Libraries**: Provides user-friendly outputs for commonly used statistical libraries, improving usability.\n- **End-to-End Workflow**: Streamline the process from research to strategy validation and reporting.\n\n## Use Cases\n\n- Developing and testing quantitative trading strategies.\n- Exploring statistical relationships in market data.\n- Generating detailed reports for data analysis and strategy validation.\n- Automating backtests and result visualizations for systematic research.\n\n## Installation\n\nYou can install `quant-analytics` directly from [PyPI](https://pypi.org/project/quant-analytics/):\n\n```bash\npip install quant-analytics\n```\n\n## Documentation\n\nComprehensive documentation, including tutorials and API references, is coming soon!\n\n## Contributing\n\nContributions are welcome! Feel free to open issues or submit pull requests to enhance the library.\n\n## License\n\nThis project is licensed under the [Apache-2.0 License](LICENSE).\n",
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