📊 OpenClaw Trading Assistant¶

🎯 Smart Signals¶

AI-powered trading signals combining RSI, MACD, and Moving Averages with confidence scoring.

Learn more →

📈 Technical Analysis¶

Advanced support & resistance calculations using multiple proven algorithms.

Learn more →

💰 Position Sizing¶

Risk-based position calculator to optimize your capital allocation.

Learn more →

🔔 Price Alerts¶

Automated monitoring for stop-loss and take-profit levels.

Learn more →

🚀 Quick Start¶

Docker (Recommended)pip (Python)npm (Node.js)

docker pull xuxuclassmate/trading-assistant:latest
docker run --rm -it \
  -v $(pwd)/.env:/app/.env \
  -v $(pwd)/watchlist.txt:/app/watchlist.txt \
  xuxuclassmate/trading-assistant:latest

5 min setup No dependencies

pip install openclaw-trading-assistant
ta

10 min setup Python 3.11+

npm install -g @xuxuclassmate/openclaw-trading-assistant
ta

10 min setup Node 18+

📊 Live Example¶

$ ta sig --symbol NVDA

📈 Generating signals for NVDA...

┌─────────────────────────────────────┐
│  NVDA @ $175.64                     │
├─────────────────────────────────────┤
│  RSI (14):       52.34  [Neutral]   │
│  MACD:           0.1234 [Bullish]   │
│  MA (50):        $168.20 [Bullish]  │
│  MA (200):       $155.80 [Bullish]  │
├─────────────────────────────────────┤
│  Combined Score: 3/3 [Bullish]      │
│  Recommendation: BUY                │
│  Confidence:     Medium (67%)       │
└─────────────────────────────────────┘

✅ Analysis complete!

📈 Market Overview¶

🌟 Featured Stocks¶

NVDA - Bullish 📈
AAPL - Neutral ➡️
MSFT - Bullish 📈
TSLA - Bearish 📉

View Full Analysis →

NVDA - AI chip demand
AMD - Data center growth
META - VR investments
GOOGL - Cloud expansion

See Why →

🎓 Learning Path¶

Beginner¶

Intermediate¶

Advanced¶

📦 Installation Options¶

Method	Command	Time	Difficulty
Docker ⭐	`docker pull xuxuclassmate/trading-assistant:latest`	5 min	Easy
pip	`pip install openclaw-trading-assistant`	10 min	Medium
npm	`npm install -g @xuxuclassmate/openclaw-trading-assistant`	10 min	Medium
Source	`git clone + pip install -e .`	15 min	Advanced