Arbitrage Bot Architecture

Testing Approach

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

Production Notes

In production, arbitrage bot architecture 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 arbitrage bot architecture implementation in automated trading systems. The approach combines established patterns with operational considerations drawn from production deployments.

Implementation

Implementation of arbitrage bot architecture 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 Arbitrage Bot Architecture
strategy:
  name: arbitrage-bot-architecture
  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