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ZhuLinsen/daily_stock_analysis ↗· Python· MIT· Last commit 18h ago
daily_stock_analysis runs a personal watchlist through an LLM every day. The list can span A-shares, Hong Kong, US, Japanese, Korean, and Taiwanese equities as well as ETFs. Quotes from several data sources are aggregated alongside real-time news, and an AI model writes a decision dashboard from them: core conclusions, scores, trend, buy and sell levels, risk alerts, catalysts, and an action checklist.
Delivery is automatic, to WeCom, Feishu, Telegram, Discord, Slack, or email. Scheduled runs on GitHub Actions cost nothing to operate, Docker is there as an alternative, and a web workspace ships alongside. The project is Python, MIT licensed, and past 61,000 GitHub stars. Its scope stays on the tickers you registered, not the market at large.