Core Concepts
Understanding exchange maintenance handling requires familiarity with market microstructure, order flow dynamics, and execution latency. The following sections detail each component.
Configuration Example
Configuration for exchange maintenance handling uses YAML or JSON format. Key parameters include timeframes, signal thresholds, position sizing rules, and risk limits.
# 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
Risk Considerations
Risk management for exchange maintenance handling addresses position limits, stop loss placement, correlation exposure, and worst-case drawdown scenarios. Regular monitoring prevents drift from intended behavior.
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.
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.