Daily Stock Analysis
ActiveDescription
LLM-powered stock analysis system for A/H/US markets with multi-source quotes, real-time news, LLM decision dashboard and multi-channel push notifications.
Key Features
- Multi-market data aggregation — Supports A-shares, HK stocks, US ETFs with quotes, K-lines, technical indicators, fund flows, chips, news, and fundamentals
- AI decision dashboard — Generates core conclusions, scores, trends, buy/sell signals, risk alerts, catalysts, and action checklists
- Agent strategy Q&A — Multi-turn queries with 15 built-in strategies (MA, Chanlun, Wave, Trend, Hotspots, Events, Growth, Expectation), covers Web/Bot/API
- Web/desktop workbench — Manual analysis, task progress, historical reports, full Markdown, backtesting, position management, config management, light/dark themes
- Multi-channel push — Enterprise WeChat, Feishu, Telegram, Discord, Slack, email delivery of decision dashboards
- Smart import & autocomplete — Image, CSV/Excel, clipboard import with stock code/name/pinyin/alias autocomplete
Use Cases
💡 Automatically analyze watchlist stocks after market close and push decision reports to team channels
💡 Individual investors manually analyze stocks and run backtests via the Web workbench
💡 Quant teams use Agent strategy Q&A for multi-round deep technical analysis
💡 Enterprises integrate stock analysis into internal OA systems via API
💡 Track market sector rotation through daily market review on non-trading days
Strengths & Limitations
✅ Strengths
- • Actively maintained, recent updates
- • High community interest (64.5k stars)
- • Permissive open-source license (MIT)
- • Responsive to issues, low backlog
Categories
Quick Start
```bash
git clone https://github.com/ZhuLinsen/daily_stock_analysis.git && cd daily_stock_analysis
pip install -r requirements.txt
cp .env.example .env
# Edit .env to configure AI model keys, notification channels, and stock list
python main.py --stocks 600519,hk00700,AAPL
```