Core Concepts
Understanding exchange api error handling requires familiarity with market microstructure, order flow dynamics, and execution latency. The following sections detail each component.
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.
| Metric | Value | Benchmark |
|---|---|---|
| Sharpe Ratio | 1.85 | 1.20 |
| Max Drawdown | -12.4% | -18.0% |
| Win Rate | 58.2% | 52.0% |
| Profit Factor | 1.72 | 1.45 |
Production Notes
In production, exchange api error handling 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 exchange api error handling follows a modular architecture. Configuration files define parameters, strategy modules handle logic, and exchange adapters manage execution.
Common Issues
Common issues with exchange api error handling include look-ahead bias in backtesting, overfitting to historical regimes, inadequate handling of exchange downtime, and insufficient logging for debugging.