Exposure Management Across Pairs

Core Concepts

Understanding exposure management across pairs requires familiarity with market microstructure, order flow dynamics, and execution latency. The following sections detail each component.

Risk Considerations

Risk management for exposure management across pairs addresses position limits, stop loss placement, correlation exposure, and worst-case drawdown scenarios. Regular monitoring prevents drift from intended behavior.

Testing Approach

Testing exposure management across pairs includes unit tests for signal logic, integration tests for exchange interaction, and backtests against historical data with realistic slippage modeling.

Common Issues

Common issues with exposure management across pairs include look-ahead bias in backtesting, overfitting to historical regimes, inadequate handling of exchange downtime, and insufficient logging for debugging.

Configuration Example

Configuration for exposure management across pairs uses YAML or JSON format. Key parameters include timeframes, signal thresholds, position sizing rules, and risk limits.

# Example configuration for Exposure Management Across Pairs
strategy:
  name: exposure-management-across-pairs
  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