kracken-auto-trading-bot

Kraken Telegram Trading Bot

An automated trading bot for Kraken.com with Telegram integration and self-learning machine learning capabilities.

Features

• Kraken API Integration: Real-time market data, order execution, portfolio management
• Telegram Bot Interface: Commands, notifications, inline keyboards for control
• Machine Learning: Self-learning models that improve from trade outcomes
• Risk Management: Position sizing, stop-loss, take-profit, daily limits
• Multi-pair Support: Configurable strategies per trading pair
• Backtesting: Validate strategies before live deployment

Project Structure

kracken-bot/
├── config/
│   ├── config.yaml
│   └── secrets.yaml.example
├── src/
│   ├── kraken/          # API client, websocket, auth
│   ├── telegram/        # Bot handlers, commands, notifications
│   ├── trading/         # Strategy engine, risk manager, order executor
│   ├── ml/              # Models, features, training, inference
│   ├── data/            # Data fetching, storage, preprocessing
│   ├── backtest/        # Backtesting engine
│   └── utils/           # Config, logging, helpers
├── tests/
├── docker/
├── requirements.txt
└── README.md

Quick Start

1. Clone the repository

   git clone <repository-url>
   cd kracken-bot
   

2. Install dependencies

   pip install -r requirements.txt
   

3. Configure the bot
   • Copy config/secrets.yaml.example to config/secrets.yaml
   • Fill in your Kraken API keys and Telegram bot token
   • Adjust config/config.yaml for your preferences
4. Run the bot

   python -m src.main
   

Configuration

Kraken API

Get your API keys from Kraken API Settings

Telegram Bot

1. Talk to @BotFather on Telegram
2. Create a new bot and get the token
3. Get your user ID by messaging @userinfobot

Machine Learning

The bot includes self-learning capabilities using:

• Technical indicators (RSI, MACD, Bollinger Bands, etc.)
• Reinforcement learning (PPO/DQN) or supervised learning approaches
• Online learning from trade outcomes
• Model persistence and versioning

Risk Management

• Configurable position sizing (% of portfolio)
• Stop-loss and take-profit levels
• Daily loss limits
• Maximum concurrent positions
• Volatility-based adjustments

Development

Running Tests

pytest tests/

Code Style

black src/
flake8 src/

Deployment

Manual Deployment

Ensure Python 3.9+ is installed, then:

pip install -r requirements.txt
python -m src.main

Security Notes

• Never commit your secrets.yaml file
• Use environment variables for production secrets
• The bot operates in test mode by default - enable live trading carefully
• Consider using a dedicated trading account with limited funds

License

MIT License - see LICENSE file for details.

Disclaimer

Trading cryptocurrencies involves significant risk. This bot is for educational purposes only. Past performance does not guarantee future results. Use at your own risk.