🚀 Crypto Trading Bot - Complete System

An advanced cryptocurrency trading bot with adaptive scanning, multiple strategies, and automated execution. Features both Python trading engine and React dashboard for monitoring.

⚡ Quick Start (5 Minutes)

# 1. Clone repository
git clone https://github.com/YOUR_USERNAME/crypto-trading-bot-dashboard.git
cd crypto-trading-bot-dashboard

# 2. Automated setup
python setup_bot.py

# 3. Start trading
python scalping_scanner.py

That's it! The bot will start scanning for trading opportunities.

🎯 Key Features

🔍 Adaptive Scanning System

• 15-minute timeframe → Quick scalping opportunities
• 30-minute timeframe → If no 15m signals found
• 5-minute continuous → 24/7 scanning until signals found
• 1000+ symbols scanned in batches

🤖 Trading Strategies

• Scalping Scanner: RSI, EMA crossover, volume breakout, momentum
• Strategy Scanner: Liquidity, momentum, pattern, candlestick (your original bot logic)
• Risk Management: Position sizing, stop loss, take profit, daily limits

📊 Automated Execution

• Signal validation with confidence thresholds
• Position monitoring with automatic stop loss/take profit
• Trade logging to JSON files
• Real-time P&L tracking

🛡️ Safety Features

• Testnet by default - Safe testing environment
• Position limits - Max 5 concurrent, 2% position size
• Daily limits - Max 10 trades, 5% loss limit
• Quality filters - Only high-confidence signals

📋 System Components

Core Trading Engine (Python)

• scalping_scanner.py - Adaptive timeframe scanning
• strategy_scanner.py - Original bot strategies
• trading_executor.py - Trade execution and monitoring

Dashboard (React) - Optional

• Real-time monitoring interface
• Portfolio tracking
• Strategy performance analysis

🚀 Usage Examples

Scalping Mode (Recommended)

python scalping_scanner.py
# Finds quick scalping opportunities
# Adapts timeframes automatically
# Runs 24/7 until signals found

Strategy Mode

python strategy_scanner.py
# Uses your original 4 strategies
# Better for swing trades
# 1-hour timeframe analysis

Execute Trades

python trading_executor.py
# Reads signals from scanner results
# Executes with risk management
# Monitors positions automatically

📁 Generated Files

• scalping_results.json - Scalping signals
• strategy_results.json - Strategy signals
• trade_executions.json - All executed trades
• position_closes.json - All closed positions

⚙️ Configuration

Edit config/bot_config.json:

{
  "testnet": true,
  "risk_config": {
    "max_position_size": 0.02,
    "daily_loss_limit": 0.05,
    "stop_loss_pct": 0.02,
    "take_profit_pct": 0.04
  }
}

🔧 Deployment Options

Local Development

python deploy.py --type local

Server/VPS

python deploy.py --type server
# Creates systemd service for 24/7 operation

Docker

python deploy.py --type docker
# Creates Dockerfile and docker-compose.yml

Cloud (AWS/GCP/Azure)

python deploy.py --type cloud
# Creates cloud deployment scripts

Project Structure

crypto-trading-bot-dashboard/
├── dashboard/                 # React frontend application
│   ├── public/               # Static assets
│   ├── src/
│   │   ├── components/       # Reusable UI components
│   │   │   ├── Navbar.tsx
│   │   │   └── Sidebar.tsx
│   │   ├── pages/           # Page components
│   │   │   ├── Dashboard.tsx
│   │   │   ├── Portfolio.tsx
│   │   │   └── Strategies.tsx
│   │   ├── App.tsx          # Main app component
│   │   ├── index.tsx        # Entry point
│   │   ├── index.css        # Global styles
│   │   └── config.ts        # Configuration
│   ├── package.json
│   └── tailwind.config.js
├── api_server.py            # Python backend (optional)
├── tests/                   # Test files
└── README.md

Available Scripts

In the dashboard directory:

• npm start - Start development server
• npm build - Build for production
• npm test - Run tests
• npm run eject - Eject from Create React App

Configuration

The dashboard can be configured via environment variables:

# .env file in dashboard directory
REACT_APP_API_URL=http://localhost:8000
REACT_APP_WS_URL=ws://localhost:8000/ws

Features Overview

Dashboard

• Bot status monitoring
• Real-time P&L tracking
• Performance metrics
• Interactive price charts

Portfolio

• Asset allocation visualization
• Portfolio performance tracking
• Balance monitoring

Strategies

• Strategy configuration
• Performance comparison
• Enable/disable strategies
• Parameter tuning

Development

Adding New Components

1. Create component in src/components/ or src/pages/
2. Follow TypeScript best practices
3. Use Tailwind CSS for styling
4. Add proper prop types and interfaces

Styling Guidelines

• Use Tailwind CSS utility classes
• Follow dark theme color scheme
• Maintain responsive design
• Use consistent spacing and typography

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Test thoroughly
5. Submit a pull request

License

MIT License - see LICENSE file for details

Support

For issues and questions:

• Create an issue on GitHub
• Check existing documentation
• Review the code examples

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Built with ❤️ for the crypto trading community