semvec/pypi-packages huggingface dataset:
quant-analytics 1.0.7
A financial performance and risk analysis library for quantitative research and backtesting.
License: Apache-2.0
Requires Python: >=3.10
Keywords: quantitative research, backtesting, finance, risk analysis, performance

# QuantAnalytics

[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](LICENSE)
[![pypi-version](https://img.shields.io/pypi/v/quant-analytics.svg)](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).