feat: Implement Backpack Exchange Arbitrage Bot #1
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This commit introduces a Python-based arbitrage bot for the Backpack Exchange. Features: - Triangular arbitrage opportunity identification based on ticker prices. - REST API client for public data (assets, markets, tickers, depth, klines) and authenticated actions (balances, orders, positions, history). - WebSocket client for real-time public (depth, ticker, trades) and private (order updates, balance updates) streams. - ED25519-based authentication mechanism for all private API and WebSocket interactions. - Comprehensive logging to console and a rotating log file (`arbitrage_bot.log`). - Configuration management via `config.py` (with `config.py.example` template). - Unit tests for core components (authentication, arbitrage logic, API clients, WebSocket client logic). - Detailed `README.md` covering setup, configuration, execution, and a risk disclaimer. The bot is structured with a main `arbitrage_bot.py` script, `auth.py` for authentication, `websocket_client.py` for WebSocket communications, and `config.py` for settings. Unit tests are located in the `tests/` directory and can be run using `python -m unittest discover tests`. Note: This is an initial version. Further improvements could include more sophisticated arbitrage strategies, consideration of order book depth for execution, dynamic fee fetching, and more robust error handling and recovery.
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This commit introduces a Python-based arbitrage bot for the Backpack Exchange.
Features:
arbitrage_bot.log).config.py(withconfig.py.exampletemplate).README.mdcovering setup, configuration, execution, and a risk disclaimer.The bot is structured with a main
arbitrage_bot.pyscript,auth.pyfor authentication,websocket_client.pyfor WebSocket communications, andconfig.pyfor settings.Unit tests are located in the
tests/directory and can be run usingpython -m unittest discover tests.Note: This is an initial version. Further improvements could include more sophisticated arbitrage strategies, consideration of order book depth for execution, dynamic fee fetching, and more robust error handling and recovery.