This project provides a comprehensive web-based stock analysis system for investors, integrating multi-dimensional analysis with AI-powered decision support. It aims to offer a holistic view of stocks through technical, fundamental, and capital flow analysis, enhanced by AI insights and interactive visualizations.

How It Works

The system leverages Python and Flask for its backend, utilizing AKShare to fetch stock data. It performs technical analysis (trend identification, indicators), fundamental analysis (valuation, financials), and capital flow analysis (institutional flows). A key feature is the AI-enhanced analysis, which uses AI APIs (like OpenAI) to provide investment advice, identify support/resistance levels, generate scenario predictions, and answer user queries with real-time information. The frontend offers a responsive, portal-style interface with interactive charts and data displays.

Quick Start & Requirements

• Install: pip install -r requirements.txt
• Prerequisites: Python 3.7+, pip, network connection for data and AI APIs.
• Configuration: Requires setting API keys (e.g., OpenAI) in a .env file.
• Docs: API documentation available at /api/docs.

Highlighted Details

• Multi-dimensional analysis: Technical, fundamental, and capital flow.
• AI-enhanced features: Investment advice, scenario prediction, intelligent Q&A.
• Interactive visualizations: K-lines, indicators, radar charts via ApexCharts.
• Real-time data: News feeds, market status, sentiment analysis with 10-minute refresh.
• Modular architecture for extensibility.

Maintenance & Community

The project is developed by LargeCupPanda. The README notes that the project is in an "exploratory phase" and AI-generated content may contain errors, advising against using it as investment advice. Development is noted as slow due to AI-assisted coding. Contributions via PRs and GitHub Issues are welcomed.

Licensing & Compatibility

The README does not explicitly state a license. Given the project's nature and lack of explicit licensing, commercial use or integration into closed-source projects should be approached with caution until a license is clarified.

Limitations & Caveats

The project is described as an "exploratory version" with AI-generated content potentially containing errors, and should not be taken as investment advice. The development process relies heavily on AI, which may lead to slower progress and potential issues.