quant-analytics 1.0.6

A financial performance and risk analysis library for quantitative research and backtesting.

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.

Installation

You can install quant-analytics directly from PyPI:

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.