This project provides an AI-powered stock analysis tool for individual investors, supporting A-shares, Hong Kong stocks, and US stocks, with plans to include funds and ETFs. It offers market and individual stock sentiment analysis, K-line technical analysis, and keeps all data locally.

How It Works

The tool is built using Wails and NaiveUI, integrating with various large language models (LLMs) and platforms like OpenAI, Ollama, LMStudio, DeepSeek, and cloud AI services. This approach allows users to leverage local or cloud-based LLMs for sophisticated analysis, including sentiment analysis and conversational follow-ups on AI-generated insights.

Quick Start & Requirements

• Installation: Downloadable installer (go-stock-amd64-installer.exe) or green version (go-stock-windows-amd64.exe).
• Prerequisites: Primarily tested on Windows 10+. Functionality may be limited on other platforms.
• LLM Integration: Requires API keys or local setup for supported LLM platforms.
• Data: Utilizes Tushare for financial data.
• Links: QQ groups for community support (links provided in README).

Highlighted Details

• Supports A-shares, Hong Kong stocks, and US stocks, with planned ETF and fund support.
• Integrates with multiple LLM providers and local models (OpenAI, Ollama, LMStudio, DeepSeek, etc.).
• Features include market/stock sentiment analysis, K-line analysis, and AI-driven market news summarization.
• All data is stored locally.

Maintenance & Community

The project is actively developed with frequent updates noted in the changelog. Community support is available via QQ groups. The developer offers paid technical support.

Licensing & Compatibility

• License: Apache License 2.0.
• Compatibility: Generally permissive for commercial use, but specific LLM API terms and data source licenses (e.g., Tushare) should be reviewed.

Limitations & Caveats

The project is primarily tested on Windows 10+; other platforms may have limited functionality or are untested. The AI analysis results are for learning and research purposes only, and investment decisions should be made cautiously.