ZhuLinsen / daily_stock_analysis
ZhuLinsen / daily_stock_analysis
📈 Intelligent Stock Analysis System
🤖 An AI-powered intelligent analysis system for A-shares, Hong Kong stocks, and US stocks. It automatically analyzes your watchlist daily and pushes a “Decision Dashboard” to Enterprise WeChat, Feishu, Telegram, Discord, Slack, or Email.
🤖 基于 AI 大模型的 A股/港股/美股自选股智能分析系统，每日自动分析并推送「决策仪表盘」到企业微信/飞书/Telegram/Discord/Slack/邮箱。
✨ Key Features | 功能特性
| Module | Feature | Description |
|---|---|---|
| AI | Decision Dashboard | One-sentence core conclusion + Rating + Buy/Sell points + Risk alerts + Action checklist |
| Analysis | Multi-dimensional Analysis | Aggregates technicals, real-time quotes, chip distribution, news sentiment, announcements, capital flow, and fundamentals |
| Market | Global Markets | Supports A-shares, HK stocks, US stocks, US indices, and common ETFs |
| Strategy | Market Strategy System | Built-in strategies: A-share review, US Regime, Moving Averages, Chan Theory, Elliott Wave, Sentiment Cycles, etc. |
| Review | Market Overview | Daily market summary, index performance, gain/loss statistics, and sector strength (supports CN/HK/US/Both) |
| Web | Dual-theme Workbench | Supports manual analysis, configuration management, task progress, historical reports, backtesting, and position management |
| Import | Smart Import | Supports images, CSV/Excel, clipboard; watchlist input supports code/name/pinyin/alias completion |
| History | Report Management | View historical reports, full Markdown reports, re-analysis, and batch management |
| Backtest | AI Backtest Validation | Post-validation of historical analysis to check directional accuracy and simulated returns |
| Agent | Strategy Q&A | Multi-turn strategy Q&A; supports 11 built-in strategies (e.g., MA Golden Cross, Chan Theory, Wave Theory) via Web/Bot/API |
| Push | Multi-channel Notifications | Supports Enterprise WeChat, Feishu, Telegram, Discord, Slack, Email, etc. |
| Automation | Scheduled Execution | Supports GitHub Actions, Docker, local cron jobs, and FastAPI service mode |
For functional details, field contracts, fundamental P0 timeout semantics, trading discipline, data source priority, and Web/API behavior, please refer to the Full Configuration and Deployment Guide.
🚀 Quick Start | 快速开始
Method 1: GitHub Actions (Recommended)
Deploy in 5 minutes, zero cost, no server required.
- Fork this repository (Click the Fork button at the top right; don’t forget to Star ⭐).
- Configure Secrets: Go to
Settings→Secrets and variables→Actions→New repository secret. - AI Model Configuration: Configure at least one model provider (e.g., AIHubMix, Gemini, OpenAI, etc.).
- Notification Channel Configuration: Configure at least one channel (e.g., WeChat, Telegram, Slack).
- Watchlist Configuration: Set
STOCK_LIST(e.g.,600519,hk00700,AAPL,TSLA). - News Source Configuration: Recommended to configure at least one search service (e.g., Anspire, SerpAPI, Tavily).
- Enable Actions: Go to the
Actionstab → “I understand my workflows, go ahead and enable them”. - Manual Test:
Actions→每日股票分析→Run workflow.
Method 2: Local / Docker Deployment
# Clone the project
git clone https://github.com/ZhuLinsen/daily_stock_analysis.git && cd daily_stock_analysis
# Install dependencies
pip install -r requirements.txt
# Configure environment variables
cp .env.example .env && vim .env
# Run analysis
python main.py📱 Push Results | 推送效果
Decision Dashboard | 决策仪表盘
🎯 2026-02-08 Decision Dashboard Analyzed 3 stocks | 🟢Buy: 0 | 🟡Watch: 2 | 🔴Sell: 1
Summary:
- ⚪ Zhongtu Gaoxin (000657): Watch | Rating 65 | Bullish
- ⚪ Yongding Shares (600105): Watch | Rating 48 | Oscillating
- 🟡 Xinlai Material (300260): Sell | Rating 35 | Bearish
(Detailed breakdown including News Sentiment, Performance Expectations, Risk Alerts, and Catalysts follows in the report.)
🖥️ Web Interface | Web 界面
The Web Workbench provides configuration management, task monitoring, manual analysis, historical reports, backtesting, position management, smart import, and light/dark themes.
- Start command:
python main.py --webui - Access:
http://127.0.0.1:8000
⚠️ Disclaimer | 免责声明
This project is for learning and research purposes only and does not constitute any investment advice. The stock market involves risks; please invest with caution. The author is not responsible for any losses incurred from using this project.
本项目仅供学习和研究使用，不构成任何投资建议。股市有风险，投资需谨慎。作者不对使用本项目产生的任何损失负责。