ZhuLinsen's AI Stock Analysis Tool Covers U.S. and Asian Markets

ZhuLinsen/daily_stock_analysis is a Python project that generates stock analysis across U.S. and Asian markets, combining market data, financial reports, technical indicators and news. Its reports can include trend summaries, risk alerts and action checklists.

The project covers U.S. stocks, A-shares, Hong Kong, Japanese, Korean and Taiwanese stocks, as well as exchange-traded funds. It supports GPT, Claude and Gemini models, plus multi-round queries using built-in strategies for topics such as trends, events and growth.

Users can schedule analysis through GitHub Actions or Docker and receive notifications through Telegram, Slack or email. Web and desktop workbenches support manual analysis, historical reports, backtesting and configuration.

The project uses free data sources where possible. Optional data sources can be configured for greater stability, and the software is released under the MIT license.