Cross Exchange Arbitrage

Risk Considerations

Risk management for cross exchange arbitrage addresses position limits, stop loss placement, correlation exposure, and worst-case drawdown scenarios. Regular monitoring prevents drift from intended behavior.

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

Performance Metrics

Key metrics include Sharpe ratio, maximum drawdown, win rate, profit factor, and average trade duration. Compare against baseline strategies and adjust parameters based on out-of-sample results.

Implementation

Implementation of cross exchange arbitrage follows a modular architecture. Configuration files define parameters, strategy modules handle logic, and exchange adapters manage execution.

Common Issues

Common issues with cross exchange arbitrage include look-ahead bias in backtesting, overfitting to historical regimes, inadequate handling of exchange downtime, and insufficient logging for debugging.