Exposure Management Across Pairs

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.

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.

Overview

This guide covers exposure management across pairs implementation in automated trading systems. The approach combines established patterns with operational considerations drawn from production deployments.

Implementation

Implementation of exposure management across pairs follows a modular architecture. Configuration files define parameters, strategy modules handle logic, and exchange adapters manage execution.

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 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