What is QuantML-Agent?

QuantML-Agent is an AI-powered tool designed to analyze the A-share market by combining large language models and quantitative analysis techniques.

What are the main features of QuantML-Agent?

Key features include real-time index monitoring, market sentiment analysis, trend prediction, hot sector analysis, and individual stock analysis.

What data sources does QuantML-Agent use?

It uses A-share market data from AKShare, news and research reports from various financial media and brokerage research institutes, and market analysis based on OpenAI large language models.

What technologies are used to build QuantML-Agent?

The frontend is built with React.js and ECharts, while the backend uses a Python Flask API with AKShare data and DeepSeek API integration.

How do I install and run QuantML-Agent?

Clone the repository, install backend and frontend dependencies, configure environment variables, and then start the backend and frontend servers.

Is QuantML-Agent suitable for real investment decisions?

No, QuantML-Agent is intended for learning and research purposes only and does not constitute investment advice. Actual investment decisions should be based on your own judgment.

What is AKShare?

AKShare is a Python library used to obtain A-share market data for QuantML-Agent.

Can I contribute to QuantML-Agent?

Yes, contributions are welcome. You can fork the repository, create a feature branch, commit your changes, and create a pull request.

How does QuantML-Agent analyze market sentiment?

QuantML-Agent uses AI algorithms to analyze market sentiment and provide a greed/fear index.

How does UBOS integrate with QuantML-Agent?

UBOS provides enhanced data connectivity, AI Agent orchestration, custom AI Agent building, and advanced analytical capabilities to QuantML-Agent.