Algorithmic Trading System

A Python-based algorithmic trading system that implements technical analysis, pattern recognition, and signal generation for cryptocurrency trading on Binance.

Features

1. Technical Analysis Components

Price Action Analysis

• Swing point detection for identifying market structure
• Support and resistance level identification
• Breakout detection with volume confirmation

Moving Averages

• SMA (Simple Moving Average) calculation - 50 and 200 periods
• EMA (Exponential Moving Average) calculation - 50 and 200 periods
• Moving average crossover signals

Momentum Indicators

• RSI (Relative Strength Index) with overbought/oversold signals
• MACD (Moving Average Convergence Divergence)
• ADX (Average Directional Index) for trend strength

Bollinger Bands

• Dynamic support/resistance levels
• Volatility-based trading signals
• Mean reversion opportunities

2. Pattern Recognition

Chart Patterns

• Head and Shoulders / Inverse Head and Shoulders
• Double/Triple Tops and Bottoms
• Bull/Bear Flags
• Rectangle patterns
• Cup and Handle formations

Trendline Analysis

• Dynamic trendline detection
• Trendline breakout signals
• Support/resistance level tracking

3. Signal Generation

Scoring System

• Multi-factor signal scoring (0-100)
• Confidence level calculation
• Signal categorization:
  • Strong Long (Score > 10, Confidence > 60%)
  • Long (Score > 7, Confidence > 40%)
  • Neutral (Score < 3)

Signal Validation

• Volume confirmation
• Trend strength validation (ADX)
• Multiple timeframe confirmation

4. Data Management

• Historical data retrieval from Binance API
• Real-time price data processing
• Data normalization and preprocessing
• CSV export functionality

5. Visualization

• Interactive price charts with indicators
• Trend visualization
• Signal markers on charts
• Volume analysis subplot

Installation

1. Clone the repository:

git clone https://github.com/cagriefe/algorithmic-trading.git
cd algorithmic-trading

3. Install required packages:

pip install -r requirements.txt

## Configuration 

1. Create a .env file with your Binance API credentials:

API_KEY=your_api_key_here
API_SECRET=your_api_secret_here

## Usage

1. Run the main script:

python main.py

2. The script will:
Fetch historical data
Calculate technical indicators
Detect patterns
Generate trading signals
Display analysis results
Save data to CSV
Show visualization plots


### Output
The system generates:

Trading signals with confidence levels
Technical analysis visualization
Signal history in CSV format
Pattern detection results



## Future Improvements
Backtesting functionality
Risk management features
Portfolio optimization
Machine learning integration
Real-time trading execution
Performance analytics
Web interface for monitoring

## License 
This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.

## Contributing
Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch
3. Commit your changes
4. Push to the branch
5. Open a Pull Request