About

A high-performance fintech trading terminal built with React, TypeScript, and Nest.js, featuring real-time market data from 100s of job executions. The platform provides advanced financial charts and a seamless user experience tailored for modern trading needs, processing real-time crypto trading data fed by ccxs and ccws.

Features

1. Real-Time Market Data Feed
   Delivers real-time cryptocurrency trading data with low latency, leveraging ccxs and ccws for market data aggregation. The system processes updates from hundreds of sources concurrently, ensuring traders have the most up-to-date information for their decision-making.
2. Advanced Financial Charting
   Presents complex financial data through a highly reactive and customizable charting interface. The charts are optimized for performance, allowing for smooth rendering of large datasets and real-time updates without impacting the user experience.
3. High-Performance Trading UI
   The user interface is built with React and TypeScript, utilizing Web Workers to handle intensive data streaming operations. This architecture prevents the UI from blocking, ensuring a fluid and responsive experience even under heavy data loads.

Technical Development

Real-Time Data Ingestion

Backend Implementation: The core of the data ingestion pipeline is built on Nest.js, which orchestrates 100s of concurrent jobs to fetch real-time crypto trading data. We utilized the ccxs and ccws libraries to connect to various cryptocurrency exchanges, ensuring broad market coverage and reliable data streams. This setup allowed us to handle a massive volume of incoming data, which was then processed and prepared for real-time distribution to the frontend.

Data Streaming & Frontend Integration

Frontend Implementation: To deliver a non-blocking user experience, we implemented Web Workers to manage the high-frequency data streams. The main thread remains free for user interactions, while the Web Workers process the incoming data in the background. RxJS was used to manage the complex data streams, providing a powerful and declarative way to handle asynchronous data flows. The result is a highly responsive UI that can visualize real-time data without any lag.

Backend Implementation: Socket.IO was chosen for its reliability and ease of use in establishing persistent, low-latency, bidirectional communication channels between the Nest.js backend and the React frontend. This allowed us to stream events and data updates in real-time, forming the backbone of our live data features.

API and State Management

Frontend Implementation: For standard data fetching and state management, we leveraged TanStack Query. This powerful library simplified data synchronization, caching, and background updates, reducing the amount of boilerplate code and improving the overall developer experience. For the real-time data streams, RxJS was the tool of choice, allowing us to compose and manage complex asynchronous data flows with ease.

Event Handling and Scalability

Backend Implementation: To handle the large volume of events and ensure scalability, we implemented a large-scale pub/sub system using Redis. This allowed us to decouple different parts of our system and scale them independently. Redis was also used for caching frequently accessed data and for queueing events, which helped to smooth out traffic spikes and ensure reliable event handling under heavy load.

Deployment

React frontend deployed on Vercel with automatic builds from Git and edge caching on 100+ global locations. NestJS backend deployed on AWS ECS with Docker containers and auto-scaling based on CPU utilization (target 70%). Redis cluster on AWS ElastiCache with automatic failover and cluster mode for high availability. CloudFront CDN for static asset delivery with gzip compression and Brotli encoding.