arvinlovegood/go-stock

go-stock is a desktop application for tracking and analyzing stocks using AI language models. It is built with Go using the Wails framework, which packages a Go backend with a web-based frontend into a native desktop app, and it runs primarily on Windows 10 and above. The tool fetches live market data for Chinese mainland stocks (A-shares), Hong Kong stocks, and US stocks, then sends that data to an AI model to generate plain-language analysis. The application works with whichever AI service or model you configure. Supported options include cloud-based APIs from DeepSeek, OpenAI, and several Chinese AI platforms such as Siliconflow and Volcengine, as well as locally hosted models running through Ollama or LMStudio. All stock market data is stored on your local machine and does not leave it. From the interface you can view candlestick charts for individual stocks, track price movements over different time intervals, and set up price alerts that send a notification when a stock crosses a threshold you define. After the AI produces an analysis of a stock, you can follow up with additional questions in a multi-turn conversation, using configurable prompt templates to control how the AI responds. The app also pulls in market news and financial disclosures, and lets the AI summarize broad market conditions alongside individual stock movements. Recent additions include industry rankings, capital flow charts, hot stock tracking, research report lookups, and technical indicator-based stock screening. The README includes a clear disclaimer that AI-generated analysis results are for learning and research only, and that investing carries risk. The project is under active development and welcomes community contributions.