Production Notes
In production, exchange maintenance handling requires monitoring for API rate limits, database connection pooling, log rotation, alert thresholds, and automated restart procedures. Document runbooks for incident response.
Core Concepts
Understanding exchange maintenance handling requires familiarity with market microstructure, order flow dynamics, and execution latency. The following sections detail each component.
Overview
This guide covers exchange maintenance handling implementation in automated trading systems. The approach combines established patterns with operational considerations drawn from production deployments.
Code Structure
The code structure separates concerns: data ingestion, signal generation, risk checks, and order submission. This modularity enables testing and reuse across strategies.
# Example configuration for Exchange Maintenance Handling
strategy:
name: exchange-maintenance-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
Testing Approach
Testing exchange maintenance handling includes unit tests for signal logic, integration tests for exchange interaction, and backtests against historical data with realistic slippage modeling.