22nd of 17 in Agent platforms

daily_stock_analysis

Daily LLM stock analysis for A-share, HK, US and other markets, pushed to chat apps

Stars
66.4k
License
MIT
Last commit
Oct 2026
Last release
Sep 2026
Language
Python
Stars, last 29 weeks+41,575
25 Mar 2026: 24,779 stars1 Apr 2026: 26,781 stars8 Apr 2026: 27,891 stars15 Apr 2026: 29,301 stars22 Apr 2026: 30,207 stars29 Apr 2026: 32,333 stars6 May 2026: 33,544 stars13 May 2026: 35,056 stars20 May 2026: 37,437 stars27 May 2026: 38,446 stars3 Jun 2026: 39,782 stars10 Jun 2026: 41,283 stars17 Jun 2026: 42,353 stars24 Jun 2026: 48,242 stars1 Jul 2026: 52,525 stars8 Jul 2026: 55,326 stars15 Jul 2026: 56,769 stars22 Jul 2026: 57,773 stars29 Jul 2026: 59,036 stars5 Aug 2026: 59,726 stars12 Aug 2026: 62,196 stars19 Aug 2026: 63,046 stars26 Aug 2026: 63,708 stars2 Sept 2026: 64,223 stars9 Sept 2026: 64,607 stars16 Sept 2026: 64,957 stars23 Sept 2026: 65,377 stars30 Sept 2026: 65,686 stars7 Oct 2026: 65,966 stars14 Oct 2026: 66,354 stars

24,779 on 25 Mar 202666,354 on 14 Oct 2026

From GitHub's daily star counts.

Checked on GitHub.

Overview

Python app that pulls quotes, K-lines, news and fundamentals for a watchlist across A-share, HK, US, Japan, Korea and Taiwan markets. It has an LLM write a decision report with score, trend, buy/sell levels and risks, then pushes it to WeCom, Feishu, Telegram, Discord, Slack or email. It runs on GitHub Actions, Docker or locally, with a FastAPI web workbench for history, backtests and strategy chat.

Who it is for: Retail investors and self-hosters wanting scheduled LLM watchlist reports

Strengths

  • Runs on a GitHub Actions fork with no server; default schedule is weekdays 18:00 Beijing time
  • Free data sources (AkShare, Baostock, YFinance) work with zero configuration
  • Supports Gemini, Claude, OpenAI-compatible APIs, DeepSeek, Qwen and local Ollama models
  • Six push channels plus a web UI with history, backtest, portfolio and 15 built-in chat strategies

Weaknesses

  • README is mainly Chinese; English docs are in a separate file
  • Free data sources are subject to rate limits and upstream changes; stability not guaranteed
  • Report quality depends on a paid news-search API key; a search service is recommended
  • Output is for study only; the disclaimer excludes investment advice and liability

What it needs

  • no GPU
  • Docker + Compose
  • Needs LLM API key or Ollama, News search API (Anspire, SerpAPI, Tavily, Bocha, Brave, MiniMax or SearXNG), Market data sources (AkShare, Baostock, YFinance; optional TickFlow, Tushare, Longbridge), Notification channel
  • Models: Gemini, OpenAI-compatible, DeepSeek, Qwen, Claude
  • port 8000

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