Latency Arbitrage

Overview

This guide covers latency arbitrage implementation in automated trading systems. The approach combines established patterns with operational considerations drawn from production deployments.

Testing Approach

Testing latency arbitrage includes unit tests for signal logic, integration tests for exchange interaction, and backtests against historical data with realistic slippage modeling.

Core Concepts

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

Implementation

Implementation of latency arbitrage 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 Latency Arbitrage
strategy:
  name: latency-arbitrage
  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