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Flux Trading Platform

A high-frequency paper trading platform allowing users to simulate buying and selling of cryptocurrencies, stocks, futures, forex, and commodities.

Flux Trading Dashboard
Market Dashboard

Comprehensive Market Overview

The main dashboard provides a holistic view of the market, featuring real-time price updates, top gainers/losers, and live market news. Users can customize their watchlist to track their favorite assets, ensuring they never miss a trading opportunity in the fast-paced market environment.

Advanced Search

Instant Asset Lookup

The powerful search engine allows users to filter through thousands of assets instantly. Whether searching for a specific stock ticker or a crypto pair, the results are delivered with sub-millisecond latency. This feature is crucial for high-frequency trading where every second counts.

Asset Management

Portfolio Management

A detailed breakdown of current holdings, including unrealized P&L, cumulative performance, and asset allocation. This section helps traders analyze their positions and manage risk effectively by visualizing their exposure across different asset classes.

Trading Academy

Interactive Learning Modules

The Flux Academy offers a structured curriculum for beginners. Users can progress through various modules, covering everything from market fundamentals to advanced technical analysis strategies. This gamified approach encourages users to learn before they burn their virtual capital.

The Visual Lab

The Visual Lab

Explore the concepts from the course with our interactive visualizers. Real-time data and simulations to reinforce your learning.

Flux AI Lab

Flux AI Lab

Experience the future of trading with our advanced AI Lab. Simulate specific market scenarios to test your strategies without risk. Stuck on a concept? Ask our AI chatbot anything about stocks, trends, or financial data—it's like having a 24/7 professional mentor by your side.

Key Features

  • Real-time market data for simulated trading
  • Support for Stocks, Crypto, Forex, Futures, and Commodities
  • Live news integration for informed trading decisions
  • Portfolio tracking and performance analytics
  • Advanced charting with technical indicators
  • Academy module for learning trading basics

Tech Stack

Next.jsReactTypeScriptTailwind CSSNode.jsWebSocketsReduxPostgreSQL

Built with performance in mind, utilizing server-side rendering and efficient state management to handle real-time data updates without lag.

In-Depth Project Detail

Project Overview

Flux Trading is a state-of-the-art 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—including Cryptocurrencies, Stocks, Forex, and Futures—using real-time market data.

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. My goal was to replicate this high-stakes environment in a browser-based application, requiring optimized data fetching, state management, and re-rendering strategies.

Technical Implementation

I architected the application using Next.js to leverage server-side rendering for the initial load and SEO. For the live market data, I integrated multiple financial APIs and utilized WebSockets to push real-time updates to the client. This ensures that the price charts and order boks are always synchronized with the global market.

The backend handles the complex logic of order matching. When a user places a "Limit Order" or "Stop Loss", the server continuously monitors the price feed. Once the conditions are met, the order executes instantly, updating the user's portfolio balance and transaction history.

Key Features & Modules

  • Universal Market Access: Trade thousands of assets from a single unified dashboard.
  • Advanced Charting: Integrated TradingView-style charts with customizable indicators (RSI, MAXD, Bollinger Bands).
  • Portfolio Analytics: Visual breakdown of asset allocation, daily P&L, and historical performance.
  • Trading Academy: A gamified learning module that rewards users for completing lessons on market fundamentals and technical analysis.

Future Roadmap

The next phase of development involves adding social trading features, allowing users to follow and copy the trades of top performers on the leaderboard. I am also exploring the integration of AI-driven market sentiment analysis to provide traders with predictive insights.