Implementation
Implementation of exchange status monitoring follows a modular architecture. Configuration files define parameters, strategy modules handle logic, and exchange adapters manage execution.
Testing Approach
Testing exchange status monitoring includes unit tests for signal logic, integration tests for exchange interaction, and backtests against historical data with realistic slippage modeling.
Production Notes
In production, exchange status monitoring requires monitoring for API rate limits, database connection pooling, log rotation, alert thresholds, and automated restart procedures. Document runbooks for incident response.
Overview
This guide covers exchange status monitoring 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 Status Monitoring
strategy:
name: exchange-status-monitoring
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