Metadata-Version: 2.2
Name: quant_analytics
Version: 1.0.1
Summary: A financial performance and risk analysis library for quantitative research and backtesting.
Author-email: Anthony Baxter <anthony_baxter819@gmail.com>
License: Apache-2.0
Keywords: quantitative research,backtesting,finance,risk analysis,performance
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: arch==7.0.0
Requires-Dist: Brotli==1.1.0
Requires-Dist: cffi==1.16.0
Requires-Dist: contourpy==1.2.1
Requires-Dist: cramjam==2.8.3
Requires-Dist: cssselect2==0.7.0
Requires-Dist: cycler==0.12.1
Requires-Dist: fastparquet==2024.5.0
Requires-Dist: fonttools==4.51.0
Requires-Dist: fsspec==2024.9.0
Requires-Dist: html5lib==1.1
Requires-Dist: joblib==1.4.2
Requires-Dist: kiwisolver==1.4.5
Requires-Dist: matplotlib==3.9.0
Requires-Dist: numpy==1.26.4
Requires-Dist: packaging==24.0
Requires-Dist: pandas==2.2.2
Requires-Dist: patsy==0.5.6
Requires-Dist: pillow==10.3.0
Requires-Dist: pyarrow==17.0.0
Requires-Dist: pycparser==2.22
Requires-Dist: pydyf==0.10.0
Requires-Dist: pyparsing==3.1.2
Requires-Dist: pyphen==0.15.0
Requires-Dist: python-dateutil==2.9.0.post0
Requires-Dist: pytz==2024.1
Requires-Dist: scikit-learn==1.4.2
Requires-Dist: scipy==1.13.0
Requires-Dist: seaborn==0.13.2
Requires-Dist: setuptools==74.1.2
Requires-Dist: six==1.16.0
Requires-Dist: statsmodels==0.14.2
Requires-Dist: threadpoolctl==3.5.0
Requires-Dist: tinycss2==1.3.0
Requires-Dist: tzdata==2024.1
Requires-Dist: weasyprint==62.1
Requires-Dist: webencodings==0.5.1
Requires-Dist: XlsxWriter==3.2.0
Requires-Dist: zopfli==0.2.3

# QuantAnalytics

`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.

## Getting Started

To install `QuantAnalytics`, you need to build it from source for now:

1. Clone the repository:

   ```bash
   git clone https://github.com/your-repo/QuantAnalytics.git
   cd QuantAnalytics
   ```

2. Install the library:

   ```bash
   pip install .
   ```

## 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).
