zwitschi
f3f369ad6b
CI / lint-test-build (push) Failing after 8m23s
- 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
2.4 KiB
2.4 KiB
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
- Market Data Collection: The bot will collect real-time market data, including price, volume, and order book information.
- Price Discrepancy Detection: The bot will analyze the collected data to identify price discrepancies between currency pairs across different cryptocurrencies and fiat currencies.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.