Rahul Somaliya

AI-Powered Trading Dashboard with Real-Time Market Data
monger project screenshot
monger project screenshot
monger project screenshot
monger project screenshot

Overview

Monger Trading is a modern platform built to support retail traders with real-time market analysis and AI-powered insights. By combining custom-trained AI models with live data streams, it helps users identify patterns, predict price movements, and stay disciplined in their trading strategies.


The Challenge

The goal was to build a fast, scalable, and intuitive front-end that could handle real-time financial data and integrate smoothly with AI-powered backend services — all while staying accessible for traders at any level.


My Role

As the lead front-end developer, I designed and built a performant React + Next.js application from the ground up. I focused on usability, speed, and clean data visualization to ensure traders could quickly interpret and act on market insights.


What I Built

  • Real-time charting with AI-driven pattern recognition
  • ̄Interactive financial visuals using react-financial-charts
  • Fast stock search and customizable watchlists
  • Smart alerts to encourage consistent trading behavior
  • Seamless live data via WebSocket connections
  • Performance optimized through lazy loading, memoization & smart API handling

Tech Stack Highlights

  • React & Next.js – For a scalable, SEO-friendly, and responsive frontend
  • WebSockets – To stream real-time market data with low latency
  • Redux & React Context – For clean and efficient state management
  • Shadcn UI (v0) – To build a polished, accessible, and consistent UI fast
  • react-financial-charts – For high-performance, interactive charting
  • Custom AI APIs – Integrated to display actionable predictions and trend confidence levels

Impact

Monger Trading enhances the way retail traders engage with markets — delivering actionable insights, improving decision-making speed, and helping users stay disciplined with data-backed strategies.


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