Synthron Crypto Trader is a cutting-edge, production-level cryptocurrency trading system designed to provide:
- Automated Trading: A live trading system powered by advanced strategies and real-time market analytics.
- Backtesting Capabilities: Test trading strategies on historical data to optimize performance.
- Comprehensive Risk Management: Features to safeguard your investments, including stop-loss, position sizing, and drawdown tracking.
- Scalability: A modular design that adapts seamlessly to evolving market dynamics.
- Robust Security: Secure wallet management with optimized gas reserves and compliance validation.
-
Trading System:
- Real-time market data fetching and analysis.
- Dynamic strategy execution for profitable trades.
- Integrated whitelist and blacklist for token selection.
-
Backtesting System:
- Historical data simulation to refine trading strategies.
- Performance metrics evaluation (e.g., ROI, Sharpe ratio).
-
Data Processing:
- Advanced analytics with clustering, trend detection, and whale activity monitoring.
- Rug pull and scam detection filters.
-
Risk and Wallet Management:
- Gas fee optimization and reserve tracking.
- Secure wallet integration with transaction validation.
-
Performance Tracking:
- Detailed reporting with metrics visualization.
- Alerts for key performance thresholds.
- Python Version: 3.9 or higher.
- Dependencies: Install required libraries using
pip install -r requirements.txt
. - Environment Variables: Configure sensitive data in a
.env
file:WALLET_PRIVATE_KEY=your_wallet_private_key SOLANA_CLUSTER_URL=your_solana_cluster_url LOGGING_LEVEL=INFO
-
Clone the repository:
git clone https://github.com/your-repo/Synthron-Crypto-Trader.git cd Synthron-Crypto-Trader
-
Install dependencies:
pip install -r requirements.txt
-
Set up the
.env
file:WALLET_PRIVATE_KEY=your_wallet_private_key SOLANA_CLUSTER_URL=your_solana_cluster_url LOGGING_LEVEL=INFO
-
Launch the application:
python main.py
-
Select from the main menu:
- 1: Run the live trading system.
- 2: Run the backtesting system.
- 3: Exit the application.
- The system fetches real-time data, applies strategies, and executes trades automatically.
- Logs are saved in
logs/synthron_trader.log
for debugging and review.
- Simulate strategies on historical data to refine and optimize trading performance.
- Results are saved as
backtesting_results.csv
.
Synthron_Crypto_Trader/
│
├── config/ # Configuration modules (settings, thresholds, logging)
├── data/ # Data fetching, processing, and analytics
├── execution/ # Trade execution and order management
├── filters/ # Token selection filters (whitelist, blacklist, rug detection)
├── performance/ # Performance tracking, reporting, and backtesting
├── strategies/ # Trading strategies and risk management
├── utils/ # Utilities for logging, validation, and exceptions
├── wallet/ # Wallet and gas management
├── main.py # Main script for running the application
├── requirements.txt # Python dependencies
└── README.md # Project documentation
This project is licensed under the MIT License - see the LICENSE file for details.
We welcome contributions to improve the Synthron Crypto Trader. Please follow these steps:
- Fork the repository.
- Create a feature branch (
git checkout -b feature-branch
). - Commit your changes (
git commit -m 'Add feature'
). - Push to the branch (
git push origin feature-branch
). - Open a pull request.
For support or inquiries, please contact us at support@magnatechnologies.com.
Trading cryptocurrencies involves significant risk. Synthron Crypto Trader is provided "as is" without any guarantees. Users are responsible for their trading decisions and outcomes.