Daily Stock Analysis
This is a complete LLM-powered stock analysis system that runs as a GitHub Action, so you're not paying for servers. It pulls data from multiple sources (AkShare, Tushare, YFinance) for A-shares, Hong Kong, and US markets, generates AI buy/sell/stop-loss recommendations using Gemini/Claude/OpenAI/DeepSeek, and pushes formatted reports to Telegram, Discord, WeChat Work, Feishu, or email on a cron schedule. The web UI includes portfolio tracking, backtesting against historical predictions, and a multi-turn agent that can answer strategy questions using 11 built-in methods like MA crossover or Elliott Wave. It's genuinely well-documented with Docker support, stock grouping for different recipients, and even vision-based stock list import. If you're actively trading and want automated morning analysis without spinning up infrastructure, this does the job.
- skills.sh installs
- 1.9K
- GitHub stars
- 61
- last updated
- Jul 14, 2026
Install
$ npx -y skills add aradotso/trending-skills --skill daily-stock-analysis --agent claude-codeInstalls into .claude/skills of the current project.
Files
Daily Stock Analysis (股票智能分析系统)
Skill by ara.so — Daily 2026 Skills collection.
LLM-powered stock analysis system for A-share, Hong Kong, and US markets. Automatically fetches quotes, news, and fundamentals, generates AI decision dashboards with buy/sell targets, and pushes results to WeChat/Feishu/Telegram/Discord/Email on a schedule via GitHub Actions — zero server cost.
What It Does
- AI Decision Dashboard: One-line conclusion + precise buy/sell/stop-loss prices + checklist per stock
- Multi-market: A-shares (CN), HK stocks, US stocks + indices (SPX, DJI, IXIC)
- Data sources: AkShare, Tushare, YFinance for quotes; Tavily/SerpAPI/Brave for news
- LLM backends: Gemini, OpenAI, Claude, DeepSeek, Qwen via LiteLLM (unified)
- Push channels: WeChat Work, Feishu, Telegram, Discord, DingTalk, Email, PushPlus
- Automation: GitHub Actions cron schedule, no server needed
- Web UI: Portfolio management, history, backtesting, Agent Q&A
- Agent: Multi-turn strategy Q&A with 11 built-in strategies (MA crossover, Elliott Wave, etc.)
Installation
Method 1: GitHub Actions (Recommended, Zero Cost)
Sponsors
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- Repository
- github.com/aradotso/trending-skills
- Category
- Finance & Trading
- First seen
- Apr 16, 2026
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