Production Notes
In production, cross exchange arbitrage requires monitoring for API rate limits, database connection pooling, log rotation, alert thresholds, and automated restart procedures. Document runbooks for incident response.
Overview
This guide covers cross exchange arbitrage implementation in automated trading systems. The approach combines established patterns with operational considerations drawn from production deployments.
Testing Approach
Testing cross exchange arbitrage includes unit tests for signal logic, integration tests for exchange interaction, and backtests against historical data with realistic slippage modeling.
Configuration Example
Configuration for cross exchange arbitrage uses YAML or JSON format. Key parameters include timeframes, signal thresholds, position sizing rules, and risk limits.
# Example configuration for Cross Exchange Arbitrage
strategy:
name: cross-exchange-arbitrage
timeframe: 5m
indicators:
- rsi
- ema_fast
- ema_slow
entry_conditions:
- rsi_oversold
- ema_crossover_bullish
exit_conditions:
- rsi_overbought
- stop_loss_hit
risk:
max_position_size: 0.02
stop_loss_pct: 0.015
Core Concepts
Understanding cross exchange arbitrage requires familiarity with market microstructure, order flow dynamics, and execution latency. The following sections detail each component.