CoinExchange: Open-Source Cryptocurrency Exchange with Java-Based Matching Engine

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Introduction

CoinExchange is a fully open-source cryptocurrency exchange platform featuring:

Legal Note: This project is intended for educational purposes only. Commercial use requires proper licensing.

Key Technical Features

  1. In-Memory Matching Engine
    Processes orders 10-20x faster than traditional database-based solutions.
  2. API-First Architecture

    • JWT token authentication
    • RESTful interfaces for all trading functions
  3. Microservice Components:

    | Service           | Functionality                     |
    |-------------------|-----------------------------------|
    | cloud.jar         | Service registry                  |
    | match-engine.jar  | Order matching                    |
    | market.jar        | Real-time price feeds             |
    | user-center.jar   | Account management                |
  4. High-Performance Stack:

    • Kafka message queues
    • Redis caching
    • MySQL/NoSQL hybrid storage

Deployment Guide

Prerequisites

Configuration Steps

  1. Set environment variables:

    # Database
    spring.datasource.url=jdbc:mysql://localhost:3306/xxxx
    spring.datasource.username=admin
    spring.datasource.password=[your_password]
    
    # Redis
    spring.redis.host=127.0.0.1
  2. Initialize services in order:

    java -jar cloud.jar        # Registry
    java -jar match-engine.jar # Core engine
    java -jar market.jar       # Market data
  3. Deploy frontend Vue projects separately.

Core Functionality

User Features

Admin Features

👉 Advanced trading analytics

FAQ

Q: Is cold wallet storage supported?
A: Yes, the system implements segregated cold/hot wallets with multi-signature withdrawals.

Q: What cryptocurrencies are pre-configured?
A: BTC, ETH, USDT with complete RPC interfaces. Additional coins can be added via admin panel.

Q: How to handle high traffic loads?
A: The Kafka-based architecture allows horizontal scaling - simply deploy additional matching engine instances.

Optimization Tips

  1. Use SSDs for Redis persistence
  2. Configure Kafka replication factor ≥3 in production
  3. Monitor JVM heap size for matching engine

For enterprise-grade solutions, consider 👉 professional deployment services.

Disclaimer: This documentation represents technical capabilities only. Actual implementation may vary based on customization.