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ArvinLovegood/go-stock

An AI-powered cross-platform desktop application for stock analysis, offering market data, news, financial insights, and stock picking features across multiple global markets.

Core Features

AI-driven analysis of hot news, capital flows, and financial data

Support for A-share, Hong Kong, and US stock markets

Integration with diverse LLM platforms (OpenAI, DeepSeek, Ollama, etc.)

Stock picking, K-line technical analysis, and price alert notifications

Local data storage for enhanced privacy and control

Detailed Introduction

go-stock is a desktop stock analysis tool developed with Wails and NaiveUI, deeply integrating AI large language models to provide intelligent insights into the stock market. It not only retrieves real-time market data but also leverages AI to analyze trending news, capital flows, and financial data, supporting market and individual stock sentiment analysis. The project covers A-share, Hong Kong, and US stock markets, and is compatible with various mainstream LLM platforms like OpenAI, DeepSeek, and Ollama. All data is stored locally, ensuring user privacy. It offers a powerful auxiliary decision-making platform for investors, though its analysis results are intended for study and research only.