Global Portfolio Statistics
& Signal Trading
Simulator

A Message-Driven Architecture Using Apache Camel · ActiveMQ · GoF Patterns & Enterprise Integration Patterns

6 JMS Topics

5 GoF Patterns

9 EIP Patterns

3 Trading Engines

30+ Java Classes

Tech Stack

Java 8

Maven 3.9

Camel 3.14

ActiveMQ 5.16

PIPELINE OVERVIEW

OO Architecture Final Project

Java 8 · Maven · Camel 3.14 · ActiveMQ 5.16

Today I am presenting my final project, the Global Portfolio Statistics and Signal Trading Simulator. This is a message-driven trading simulation built in Java with Apache Camel and ActiveMQ. The goal is not to build a production trading platform. The goal is to show how object-oriented design patterns and Enterprise Integration Patterns can work together in one concrete system. The simulator reads market tick data from CSV files, turns those rows into domain events, computes rolling statistics, publishes those statistics through message topics, and then lets three regional trading engines make their own decisions. Those engines represent New York, London, and Tokyo. Each one can decide to buy, sell, or hold based on the same underlying market feed. During this presentation, I will first walk through the architecture, then show the trading outcomes, then explain the main design patterns, then run the live demo, and finally close with what worked, what was difficult, and what I would extend next.

Global Portfolio Statistics & Signal Trading Simulator

Global Portfolio Statistics
& Signal Trading
Simulator