Overview
This guide covers arbitrage bot architecture implementation in automated trading systems. The approach combines established patterns with operational considerations drawn from production deployments.
Core Concepts
Understanding arbitrage bot architecture requires familiarity with market microstructure, order flow dynamics, and execution latency. The following sections detail each component.
Risk Considerations
Risk management for arbitrage bot architecture addresses position limits, stop loss placement, correlation exposure, and worst-case drawdown scenarios. Regular monitoring prevents drift from intended behavior.
Common Issues
Common issues with arbitrage bot architecture include look-ahead bias in backtesting, overfitting to historical regimes, inadequate handling of exchange downtime, and insufficient logging for debugging.
Production Notes
In production, arbitrage bot architecture requires monitoring for API rate limits, database connection pooling, log rotation, alert thresholds, and automated restart procedures. Document runbooks for incident response.