5
Asset classes
Real-time WebSockets
Market data
Sub-millisecond
Search latency
Academy + AI lab
Learning

01
Overview
Flux Trading is a paper trading simulation platform designed to bridge the gap between theoretical knowledge and practical market experience. It provides a risk-free environment where aspiring traders can execute trades across multiple asset classes — cryptocurrencies, stocks, forex, and futures — using real-time market data.
02
The challenge
Building a trading platform requires handling massive amounts of data with minimal latency. A delay of a few seconds can mean the difference between profit and loss in the real world. The goal was to replicate this high-stakes environment in a browser-based application, requiring optimized data fetching, state management, and re-rendering strategies.
03
Technical implementation
The application uses Next.js server-side rendering for initial load and SEO, with multiple financial APIs and WebSockets pushing real-time updates to the client so charts and order books stay synchronized with the global market. The backend handles order matching: when a user places a limit order or stop loss, the server continuously monitors the price feed and executes instantly once conditions are met, updating portfolio balance and transaction history.
04
Academy & AI lab
The Flux Academy offers a structured, gamified curriculum from market fundamentals to advanced technical analysis, with interactive visualizers reinforcing each concept. The AI Lab simulates specific market scenarios for risk-free strategy testing, and an AI chatbot answers questions about stocks, trends, and financial data — a 24/7 mentor.




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