Overview
This guide covers disaster recovery planning implementation in automated trading systems. The approach combines established patterns with operational considerations drawn from production deployments.
Core Concepts
Understanding disaster recovery planning requires familiarity with market microstructure, order flow dynamics, and execution latency. The following sections detail each component.
Implementation
Implementation of disaster recovery planning follows a modular architecture. Configuration files define parameters, strategy modules handle logic, and exchange adapters manage execution.
Configuration Example
Configuration for disaster recovery planning uses YAML or JSON format. Key parameters include timeframes, signal thresholds, position sizing rules, and risk limits.
# Example configuration for Disaster Recovery Planning
strategy:
name: disaster-recovery-planning
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
Risk Considerations
Risk management for disaster recovery planning addresses position limits, stop loss placement, correlation exposure, and worst-case drawdown scenarios. Regular monitoring prevents drift from intended behavior.