AlphaGPT addresses efficient factor mining in Chinese stock and cryptocurrency markets using symbolic regression. It targets quantitative traders and researchers seeking automated discovery of predictive market signals. The project aims to provide a tool for uncovering novel, potentially high-performance factors that drive market movements.

How It Works

The core approach utilizes symbolic regression to automatically discover mathematical expressions that represent market factors. This method contrasts with traditional manual feature engineering by allowing algorithms to search for complex relationships within market data, potentially leading to more effective and interpretable trading signals.

Quick Start & Requirements

The provided README does not contain installation instructions, dependency lists, or a quick start guide. Users with questions are directed to contact imbue2025@outlook.com.

Highlighted Details

The project is described as having been a "money-making machine" previously, now released as a "public library," suggesting a potential for profitable factor discovery. Specific performance benchmarks or detailed technical specifications are not provided.

Maintenance & Community

Contact information is limited to a single email address (imbue2025@outlook.com). No details regarding maintainers, community channels (like Discord or Slack), or project roadmaps are available in the provided text.

Licensing & Compatibility

The README does not specify a software license. Consequently, restrictions regarding commercial use or integration into closed-source projects are unclear.

Limitations & Caveats

The README explicitly warns that "appropriate modifications" are likely necessary before deploying the code for live trading, indicating it may not be production-ready for real-time financial applications. Significant portions of the README consist of placeholder text ("目前双方已达成和解。"), suggesting incomplete documentation and potential lack of ongoing development focus.