Disaster Recovery Planning

Page 172 of 220 · Algorithm reference notes

Production Notes

In production, disaster recovery planning requires monitoring for API rate limits, database connection pooling, log rotation, alert thresholds, and automated restart procedures. Document runbooks for incident response.

Implementation

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

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.

Important: Always validate disaster recovery planning logic on out-of-sample data before live deployment. Paper trading reveals execution issues that backtests miss.

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.

MetricValueBenchmark
Sharpe Ratio1.851.20
Max Drawdown-12.4%-18.0%
Win Rate58.2%52.0%
Profit Factor1.721.45

Overview

This guide covers disaster recovery planning implementation in automated trading systems. The approach combines established patterns with operational considerations drawn from production deployments.