A high-win-rate day trading system for BTC, ETH, and SOL with comprehensive technical analysis, backtesting, and live monitoring capabilities.

• Multi-Indicator Analysis: Combines 20+ technical indicators for high-accuracy signals
• Multi-Timeframe Analysis: 30-minute and 1-hour timeframes for day trading
• High Win Rate: Designed for 65-75% win rate with proper risk management
• Real-Time Data: Live market data from Binance, Yahoo Finance, and Coinbase
• Comprehensive Backtesting: Full historical performance analysis
• Risk Management: Dynamic stop-loss, take-profit, and position sizing
• Portfolio Analysis: Multi-asset portfolio optimization
• Live Monitoring: Real-time market monitoring and signal alerts

• Bitcoin (BTC/USDT)
• Ethereum (ETH/USDT)
• Solana (SOL/USDT)

• 30 minutes (30m) - Short-term day trading
• 1 hour (1h) - Medium-term day trading

• EMA (9, 21, 50, 200)
• MACD with signal line
• Ichimoku Cloud
• Parabolic SAR
• ADX (Average Directional Index)

• RSI (Relative Strength Index)
• Stochastic Oscillator
• Williams %R
• CCI (Commodity Channel Index)
• Rate of Change

• Bollinger Bands
• Keltner Channels
• ATR (Average True Range)
• Donchian Channels

• VWAP (Volume Weighted Average Price)
• OBV (On Balance Volume)
• Money Flow Index
• Volume Rate of Change

• Position Size: 10% of capital per trade
• Stop Loss: 2x ATR (Average True Range)
• Take Profit: 4x ATR (1:2 risk-reward ratio)
• Trailing Stop: 1.5% dynamic trailing stop
• Maximum Open Trades: 3
• Maximum Daily Loss: 5%
• Maximum Weekly Loss: 15%

# Clone the repository
git clone <repository-url>
cd cryptocurrency-trading-system

# Install dependencies
pip install -r requirements.txt

Create a .env file in the project directory (optional):

BINANCE_API_KEY=your_api_key_here
BINANCE_SECRET_KEY=your_secret_key_here

Note: API keys are optional for data fetching but required for live trading.

python main.py

# Analyze BTC on 1h timeframe
python main.py --symbol BTC/USDT --timeframe 1h --action analyze

# Get trading signals for all symbols
python main.py --symbol ALL --timeframe ALL --action signals

# Run backtest for ETH
python main.py --symbol ETH/USDT --timeframe 30m --action backtest

1. 📈 Analyze Market Conditions - Current market analysis for all symbols
2. 🔍 Get Trading Signals - Real-time trading signals and recommendations
3. 📊 Run Backtest - Historical performance testing
4. 📈 Portfolio Analysis - Multi-asset portfolio optimization
5. 🔄 Live Market Monitoring - Real-time market monitoring
6. 📋 View Strategy Details - Strategy explanation and parameters
7. ⚙️ Configuration - System configuration and settings

The system provides comprehensive market analysis including:

• Price Action: Current price, support/resistance levels
• Trend Analysis: Trend direction and strength
• Volatility Assessment: Market volatility conditions
• Volume Analysis: Volume patterns and confirmation
• Risk Assessment: Current market risk level
• Trading Recommendations: Buy/Sell/Hold with confidence levels

Signals are generated based on:

• Composite Signal: Weighted combination of all indicators
• Individual Signals: Individual indicator confirmations
• Signal Strength: 0-100% confidence level
• Signal Types: Strong Buy, Weak Buy, Neutral, Weak Sell, Strong Sell

Comprehensive backtesting includes:

• Performance Metrics: Win rate, profit factor, Sharpe ratio
• Risk Metrics: Maximum drawdown, risk-adjusted returns
• Trade Analysis: Individual trade performance
• Equity Curve: Portfolio value over time
• Visual Charts: Price charts with indicators and trades

• Target Win Rate: 65-75%
• Risk-Reward Ratio: 1:2
• Maximum Drawdown: <20%
• Sharpe Ratio: >1.5
• Profit Factor: >1.5

Key parameters can be modified in config.py:

# Entry/Exit thresholds
ENTRY_THRESHOLD = 0.6      # 60% signal strength for entry
EXIT_THRESHOLD = 0.3       # 30% signal strength for exit

# Risk management
POSITION_SIZE = 0.1         # 10% of capital per trade
STOP_LOSS_PERCENT = 0.02   # 2% stop loss
TAKE_PROFIT_PERCENT = 0.04 # 4% take profit

# Technical indicators
RSI_PERIOD = 14
MACD_FAST = 12
MACD_SLOW = 26
BOLLINGER_PERIOD = 20

The system supports multiple data sources:

• Binance (default) - Real-time cryptocurrency data
• Yahoo Finance - Alternative data source
• Coinbase Pro - Additional exchange data

📊 BTC/USDT Analysis:
⏰ 1h Timeframe:
   💰 Current Price: $43,250.50
   📈 Trend: Bullish (Strong)
   📊 Volatility: High
   📊 Volume: High
   🎯 Market Phase: Neutral
   ⚠️  Risk Level: Medium
   🛡️  Support: $42,800.00
   🚧 Resistance: $43,500.00
   🎯 Action: BUY
   📊 Confidence: 78.5%
   💰 Entry: $43,250.50
   🛑 Stop Loss: $42,500.00
   🎯 Take Profit: $44,750.00

📊 SIGNAL SUMMARY:
🚨 STRONG SIGNALS:
   BTC/USDT (1h): 🟢 STRONG BUY - 78.5%
   ETH/USDT (30m): 🟢 STRONG BUY - 72.3%

🎯 TOP OPPORTUNITIES:
   1. BTC/USDT (1h): 🟢 STRONG BUY - 78.5%
   2. ETH/USDT (30m): 🟢 STRONG BUY - 72.3%
   3. SOL/USDT (1h): 🟡 WEAK BUY - 45.2%

• This system is for educational and research purposes
• Past performance does not guarantee future results
• Cryptocurrency trading involves substantial risk
• Always use proper risk management
• Never invest more than you can afford to lose

• Python 3.8+
• Stable internet connection
• Sufficient RAM for data processing
• Optional: Binance API keys for live trading

• Historical data depends on exchange availability
• Real-time data requires stable internet connection
• Some indicators may have calculation delays
• Market conditions can change rapidly

• Monitor for new cryptocurrency pairs
• Update technical indicator parameters
• Adjust risk management settings
• Review and optimize strategy performance

• Track win rate and profit factor
• Monitor maximum drawdown
• Analyze trade patterns
• Adjust strategy based on market conditions

• Technical Analysis books
• Cryptocurrency trading courses
• Risk management guides
• Market psychology resources

• Trading forums and communities
• Technical analysis groups
• Cryptocurrency discussion boards
• Professional trading networks

Contributions are welcome! Please feel free to:

• Report bugs and issues
• Suggest new features
• Improve documentation
• Optimize performance
• Add new indicators

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

For support and questions:

• Create an issue in the repository
• Check the documentation
• Review the configuration options
• Test with small amounts first

🚀 Happy Trading! Remember: Risk management is the key to long-term success in cryptocurrency trading.

Disclaimer: This software is for educational purposes only. Cryptocurrency trading involves substantial risk and may not be suitable for all investors. Always do your own research and consider consulting with a financial advisor before making investment decisions.