daily_stock_analysis
SHA-256An open-source AI stock analysis system for A/H/US markets that generates daily decision dashboards and pushes them to WeChat Work, Feishu, Telegram, Discord, Slack, or email. Deploy via GitHub Actions for free.
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v3.17.1 · 216.1 MB
Zero-cost AI stock analysis that pushes daily buy/sell signals to your phone—no server required.
Core Features
- AI decision reports: scores, buy/sell signals, risk alerts, catalysts
- Multi-market data: A-shares, Hong Kong, US stocks, ETFs with K-lines, technicals, fund flows, news
- Web UI for manual analysis, agent chat, backtesting, portfolio management
- 15+ built-in agent strategies: moving average, chan theory, wave, trend, etc.
- Multi-channel push: WeChat Work, Feishu, Telegram, Discord, Slack, email
What It Can't Do
- •This tool provides analysis only, not investment advice. Trade at your own risk. 2. You need to obtain AI API keys (Anspire, Gemini, etc.); some free tiers are limited. 3. News source configuration significantly impacts quality; configure at least one search API. 4. Non-trading days are skipped by default; can be forced. 5. Notification channels require your own bot/webhook setup.
Use Cases
- Daily automatic analysis of your watchlist, with recommendations pushed to your phone
- Retail investors who want AI-driven insights without writing any code
Detailed Introduction
Daily Stock Analysis (DSA) is an open-source, AI-driven stock analysis system covering A-shares, Hong Kong stocks, and US stocks. It aggregates real-time market data, K-lines, technical indicators, fund flows, news, and fundamentals, then generates comprehensive AI decision dashboards (scores, buy/sell signals, risks, catalysts). It supports multi-round agent conversations with 15+ built-in strategies (moving average, chan theory, wave, trend, etc.) and pushes reports to WeChat Work, Feishu, Telegram, Discord, Slack, and email. Deployable via GitHub Actions at zero cost, or locally with Docker. Compared to traditional quantitative frameworks like Qlib or Backtrader, DSA lowers the barrier by leveraging LLMs for natural language reasoning and easy configuration, requiring no coding skills for daily stock monitoring. It also integrates a web UI for manual analysis, backtesting, and portfolio management.
Troubleshooting & FAQ (1)
TroubleshootingHow to fix SearXNG base URL not being read when configured in GitHub Actions Variables?
In your workflow file (e.g., .github/workflows/00-daily-analysis.yml), change the environment variable assignment from ${{ secrets.SEARXNG_BASE_URLS }} to ${{ vars.SEARXNG_BASE_URLS || secrets.SEARXNG_BASE_URLS }}. This makes the workflow read the URL from Variables first, then fall back to Secrets. After this change, the search service will be enabled even if the URL is only in Variables. Also ensure the variable name matches exactly.
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Getting Started
Download installer
Click the button above to download the installer for your system
Install the software
Open the downloaded dmg file, then drag the app to Applications
Fork this repository to your GitHub account
Configure Secrets: AI API Key (e.g., Anspire), stock list, notification webhook
Enable GitHub Actions and manually trigger a test run
- Fork this repository to your GitHub account
- Configure Secrets: AI API Key (e.g., Anspire), stock list, notification webhook
- Enable GitHub Actions and manually trigger a test run
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SHA256 Checksum
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Open Source Transparency
View GitHub SourceUninstall Info
Delete the forked GitHub repository, stop the Docker container, or remove the local project directory to fully uninstall.
No Extra Dependencies
Ready to use after download. No additional runtime required.
Having issues? Check the FAQ below
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