Risk Considerations
Risk management for complex event processing addresses position limits, stop loss placement, correlation exposure, and worst-case drawdown scenarios. Regular monitoring prevents drift from intended behavior.
Configuration Example
Configuration for complex event processing uses YAML or JSON format. Key parameters include timeframes, signal thresholds, position sizing rules, and risk limits.
# Example configuration for Complex Event Processing
strategy:
name: complex-event-processing
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 complex event processing requires familiarity with market microstructure, order flow dynamics, and execution latency. The following sections detail each component.
Overview
This guide covers complex event processing implementation in automated trading systems. The approach combines established patterns with operational considerations drawn from production deployments.
Common Issues
Common issues with complex event processing include look-ahead bias in backtesting, overfitting to historical regimes, inadequate handling of exchange downtime, and insufficient logging for debugging.