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The platform combines modular, event-driven architecture with efficient queuing, real-time communication, and scalable infrastructure.\n\n\n\n\u003cimg width=\"824\" height=\"410\" alt=\"Screenshot 2025-09-07 at 12 58 00 AM\" src=\"https://github.com/user-attachments/assets/fad85667-a4e6-41cc-abee-69e1518931e7\" /\u003e\n\u003cimg width=\"833\" height=\"479\" alt=\"Screenshot 2025-09-07 at 12 57 48 AM\" src=\"https://github.com/user-attachments/assets/fd768972-2642-48a1-b7e0-a698539ec269\" /\u003e\n\n\n## 🚀 Tech Stack\n\n### Frontend\n- **Next.js \u0026 React** – Dynamic, server-rendered UI\n- **Tailwind CSS** – Fast, responsive styling\n\n### Backend\n- **Node.js \u0026 Express** – High-performance API services\n- **PostgreSQL** – Transactional data storage\n- **Time Series DB** – For high-frequency trade analytics\n\n### Real-Time Communication\n- **WebSockets (Socket.io)** – Live trade and market updates\n\n### Queue \u0026 Event System\n- **Redis** – Order queuing, Pub/Sub for real-time communication\n\n### Matching Engine\n- **Custom-built in Node.js** – Fast order matching with event triggers\n\n### Deployment\n- **Railway** – Cloud deployment\n\n---\n\n## 🧠 Architecture \u0026 Data Flow\n\n### 1. Order Submission\n\n- **User Input**: Traders place buy/sell orders via the frontend.\n- **API Request**: Order data is sent to `POST /api/v1/order`.\n- **Redis Queue**: API validates and enqueues orders for processing.\n\n### 2. Order Matching\n\n- **Engine Polling**: A custom-built matching engine polls Redis.\n- **Execution**: Orders are matched and trades executed.\n- **Event Trigger**: Emits a `trade_created` event via Redis Pub/Sub.\n\n### 3. Real-Time Distribution \u0026 Storage\n\n- **WebSockets**: Broadcast updates to connected clients instantly.\n- **PostgreSQL**: Stores all trade records reliably.\n- **Time Series DB**: Logs price/volume data for analytics and visualization.\n\n---\n\n## ✨ Key Features\n\n- ⚡ **Real-Time Execution** – Millisecond-level trade processing\n- 📈 **Live Market Updates** – Instant updates via WebSockets\n- 🔁 **Scalable Design** – Horizontally scalable with decoupled services\n- 🧮 **Efficient Storage** – Dual-database approach for speed and analytics\n\n---\n\n## 🧩 Challenges \u0026 Solutions\n\n### Handling High Throughput\n- **Problem**: Concurrent order spikes\n- **Solution**: Redis queue decouples order intake from processing\n\n### Ensuring Real-Time Execution\n- **Problem**: Trade delay risks\n- **Solution**: Optimized matching engine + Redis Pub/Sub + WebSockets\n\n### Efficient Data Persistence\n- **Problem**: High-frequency data impacting performance\n- **Solution**: PostgreSQL for core trades, Time Series DB for analytics\n\n---\n\n## 📦 Setup Instructions\n\n```bash\n# 1. Clone the repo\ngit clone https://github.com/yourusername/exchange-platform.git\ncd exchange-platform\n\n# 2. Install dependencies\nnpm install\n\n# 3. Setup environment variables\ncp .env.example .env\n\n# 4. Start the dev server\nnpm run dev\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyuvrajnode%2Fexchange","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyuvrajnode%2Fexchange","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyuvrajnode%2Fexchange/lists"}