Exchange API Error Handling

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.

Overview

This guide covers exchange api error handling implementation in automated trading systems. The approach combines established patterns with operational considerations drawn from production deployments.

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.

Configuration Example

Configuration for exchange api error handling uses YAML or JSON format. Key parameters include timeframes, signal thresholds, position sizing rules, and risk limits.

# Example configuration for Exchange API Error Handling
strategy:
  name: exchange-api-error-handling
  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