Event Driven Architecture

Page 218 of 220 · Trading bot field notes and system logs

Implementation

Implementation of event driven architecture follows a modular architecture. Configuration files define parameters, strategy modules handle logic, and exchange adapters manage execution.

Core Concepts

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

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 Event Driven Architecture
strategy:
  name: event-driven-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

Common Issues

Common issues with event driven architecture include look-ahead bias in backtesting, overfitting to historical regimes, inadequate handling of exchange downtime, and insufficient logging for debugging.

Important: Always validate event driven architecture logic on out-of-sample data before live deployment. Paper trading reveals execution issues that backtests miss.

Overview

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