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Add initial project structure with Docker, CI, and FastAPI setup
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- Create Dockerfile and docker-compose.yml for containerization
- Add CI configuration for linting and testing
- Implement FastAPI application with health check routes
- Set up database schema using DuckDB
- Include environment configuration and secrets management
- Add README with project objectives and key features
- Implement logging setup and configuration
- Create initial tests for health route
- Add HTML templates for web interface
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zwitschi
2026-06-01 09:15:38 +02:00
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README.md
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# Arbitrage Trading Bot
## Objective
- Develop an arbitrage trading bot that can identify and exploit price discrepancies across different currency pairs to generate profits.
- Ensure the bot operates efficiently, securely, and can adapt to changing market conditions.
- Implement risk management strategies to minimize potential losses.
- Continuously monitor and optimize the bot's performance.
- Provide a user-friendly interface for monitoring and controlling the bot's operations.
- Integrate with kraken exchange for executing trades and accessing market data.
- Implement a robust logging and alerting system to track the bot's activities and notify the user of important events or issues.
## Key Features
1. **Market Data Collection**: The bot will collect real-time market data, including price, volume, and order book information.
2. **Price Discrepancy Detection**: The bot will analyze the collected data to identify price discrepancies between currency pairs across different cryptocurrencies and fiat currencies.
3. **Trade Execution**: The bot will execute trades automatically when a profitable arbitrage opportunity is detected, ensuring that it can capitalize on the price differences before they disappear.
4. **Risk Management**: The bot will implement risk management strategies, such as setting stop-loss orders and limiting the amount of capital allocated to each trade, to minimize potential losses.
5. **Performance Monitoring**: The bot will continuously monitor its performance, tracking metrics such as profit and loss, win rate, and average trade duration, to identify areas for improvement.
6. **User Interface**: The bot will provide a user-friendly interface that allows users to monitor the bot's activities, view performance metrics, and control its operations.
7. **Integration with Kraken Exchange**: The bot will integrate with the Kraken exchange to access market data and execute trades, ensuring that it can operate effectively in the cryptocurrency market.
8. **Logging and Alerting System**: The bot will implement a robust logging system to track all activities and transactions, and an alerting system to notify the user of important events, such as successful trades, errors, or significant market changes.
9. **Security Measures**: The bot will implement security measures to protect user data and prevent unauthorized access, including encryption of sensitive information and secure authentication methods.