Quantum Edge AI
How Quantum Edge AI delivers real-time, AI-powered stock forecasting with a Node.js backend and Socket.IO-driven Next.js frontend.
Problem
Traders needed accurate, real-time stock price forecasts and a way to act on AI-driven predictions without lag between data ingestion and the interface.
Approach
I developed the backend using Node.js, Express, PostgreSQL, and Redis, integrated the Polygon SDK for live stock data, and used AWS SQS to connect the backend to the AI prediction engine. The Next.js frontend used Socket.IO for real-time updates, plus a SaaS API service so customers could integrate the prediction logic into their own systems.
Stack
- Express
- Node.js
- Next.js
- TypeScript
- Redis
- PostgreSQL
- Polygon SDK
- AWS SQS
- Socket.IO
Result
Traders get live stock data and AI-driven forecasts with no perceptible delay, helping them make informed investment decisions.