🚀 Astro Trading Bot

A modern, AI-powered trading signal generator that combines technical analysis with AI insights and real-time news sentiment. Get intelligent trading signals for forex, crypto, and precious metals with automated WhatsApp notifications.

$$ 📩 Contact

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✨ Features

🔍 Smart Signal Generation

• Technical Analysis: RSI, MACD, EMA indicators
• AI Enhancement: OpenAI integration for signal refinement
• News Sentiment: Real-time news analysis
• Support/Resistance: Dynamic level detection

📱 Real-time Interface

• Modern React frontend with dark theme
• Auto-refreshing signals (60-second intervals)
• Interactive chat with Astro AI assistant
• Multiple asset and timeframe selection

📢 Automated Alerts

• WhatsApp notifications via Twilio
• High-confidence signal filtering (75%+ threshold)
• Instant entry, take-profit, and stop-loss levels

📊 Supported Assets

• Forex: EUR/USD, GBP/USD, XAU/USD (Gold), XAG/USD (Silver)
• Crypto: BTC/USDT, ETH/USDT
• Timeframes: 15m, 30m, 1h, 4h, 1d

🏗️ Architecture

astro-trading-bot/
├── backend/          # FastAPI server
│   ├── main.py      # Core trading logic & API
│   └── requirements.txt
└── frontend/         # React.js client
    ├── src/
    │   ├── App.jsx           # Main application
    │   ├── SignalCard.jsx    # Signal display component
    │   ├── AstroChat.jsx     # AI chat interface
    │   └── main.jsx          # React entry point
    ├── index.html
    └── package.json

🚀 Quick Start

Prerequisites

• Python 3.8+
• Node.js 16+
• API keys (see Configuration)

1. Backend Setup

cd backend
pip install -r requirements.txt

# Create .env file with your API keys
cp .env.example .env  # Edit with your keys

# Start the FastAPI server
uvicorn main:app --reload --host 0.0.0.0 --port 8000

2. Frontend Setup

cd frontend
npm install

# Set backend URL (optional)
export VITE_API_BASE=http://localhost:8000

# Start development server
npm run dev

3. Production Build

# Backend (use gunicorn or deploy to cloud)
gunicorn main:app -w 4 -k uvicorn.workers.UvicornWorker

# Frontend
npm run build

⚙️ Configuration

Create a .env file in the backend/ directory:

# Required: Market Data
MARKET_API_KEY=your_twelvedata_api_key

# Optional: AI Enhancement
AI_MODEL_KEY=your_openai_api_key

# Optional: News Analysis
NEWS_API_KEY=your_newsapi_key

# Optional: WhatsApp Alerts
TWILIO_ACCOUNT_SID=your_twilio_sid
TWILIO_AUTH_TOKEN=your_twilio_token
TWILIO_WHATSAPP_FROM=whatsapp:+14155238886
TWILIO_WHATSAPP_TO=whatsapp:+1234567890

API Key Sources

• TwelveData: twelvedata.com (market data)
• OpenAI: platform.openai.com (AI analysis)
• NewsAPI: newsapi.org (news sentiment)
• Twilio: twilio.com (WhatsApp notifications)

📡 API Endpoints

GET /api/signal

Generate trading signal for specified asset.

Parameters:

• symbol (string): Asset symbol (default: "XAU/USD")
• interval (string): Timeframe (default: "30min")

Response:

{
  "asset": "XAU/USD",
  "timeframe": "30min",
  "direction": "BUY",
  "entry": 2023.45,
  "tp": 2035.67,
  "sl": 2015.23,
  "confidence": 85,
  "reason": "Strong bullish momentum with RSI oversold",
  "timestamp": "2024-01-15T10:30:00Z"
}

POST /api/ask

Chat with Astro AI assistant.

Body:

{
  "q": "What's your view on gold today?"
}

Response:

{
  "answer": "Gold is showing bullish momentum..."
}

GET /api/health

Health check endpoint.

🧠 Trading Logic

Signal Generation Process

1. Data Fetching: Retrieve OHLC data from TwelveData
2. Technical Analysis: Calculate RSI, MACD, EMA indicators
3. Rule-Based Logic:
   • BUY: EMA20 > EMA50 + MACD bullish + RSI < 35 (oversold)
   • SELL: EMA20 < EMA50 + MACD bearish + RSI > 65 (overbought)
   • HOLD: Mixed signals
4. News Integration: Fetch relevant headlines for sentiment
5. AI Refinement: OpenAI analyzes all data and refines the signal
6. Risk Management: Calculate TP/SL based on volatility (2-3x ATR)

Confidence Scoring

• 85%: Strong technical + AI confirmation
• 70%: Good technical alignment
• 50%: Neutral/hold signals

🎨 Frontend Features

Signal Dashboard

• Real-time signal cards with entry/exit levels
• Color-coded confidence indicators
• Auto-refresh every minute
• Asset and timeframe selectors

Astro Chat

• Interactive AI assistant
• Market analysis and advice
• Trading education and tips
• Contextual responses based on current signals

🔔 Alert System

WhatsApp notifications are sent when:

• Signal confidence ≥ 75%
• Direction is BUY or SELL (not HOLD)
• All Twilio credentials are configured

Alert Format:

🚨 XAU/USD BUY
Entry: 2023.45
TP: 2035.67
SL: 2015.23
Conf: 85%
Strong bullish momentum with RSI oversold

🚀 Deployment

Backend Options

• Render: Easy Python deployment
• Railway: Modern cloud platform
• DigitalOcean: App Platform
• AWS/GCP: Production-scale deployment

Frontend Options

• Vercel: Automatic React deployment
• Netlify: Static site hosting
• CloudFlare Pages: Fast global CDN

Environment Variables

Set VITE_API_BASE in frontend deployment to point to your backend URL.

🛡️ Risk Disclaimer

⚠️ Important Notice: This bot is for educational and informational purposes only. Trading financial instruments carries significant risk of loss. Past performance does not guarantee future results. Always:

• Use proper risk management
• Never risk more than you can afford to lose
• Backtest strategies before live trading
• Consider market conditions and news events
• Consult with financial advisors

The creators are not responsible for any trading losses incurred using this software.

🤝 Contributing

1. Fork the repository
2. Create a feature branch: git checkout -b feature/amazing-feature
3. Commit changes: git commit -m 'Add amazing feature'
4. Push to branch: git push origin feature/amazing-feature
5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• TwelveData for market data API
• OpenAI for AI-powered analysis
• FastAPI for the backend framework
• React for the frontend framework
• Twilio for WhatsApp notifications

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Built with ❤️ by the TradeWithAns team

For support or questions, please open an issue on GitHub.