EdgeIQ

What it’s built for

Traders often struggle to synthesize fragmented market data, news streams, and trading performance metrics across multiple disconnected tools, leading to delayed decisions and lack of historical trade insights.

What I’m building

• Building a real-time trading intelligence platform using Next.js and TypeScript.
• Implementing WebSocket-based live market data streaming (stocks, indices, commodities).
• Integrating AI-powered analysis using NLP models (Hugging Face) for market insights.
• Developing sentiment analysis system using news and financial data sources.
• Implementing trading journal with P&L tracking and performance analytics.

Inside the build

Next.js App Router, TypeScript, React 19, Tailwind CSS, Recharts for financial visual charts.

Node.js REST API with WebSocket client listeners for real-time market quote streaming.

The development challenges

• Handling high-frequency WebSocket state updates in React without causing excessive component re-renders.
• Normalizing diverse payload formats from Finnhub and Yahoo Finance APIs into a unified internal data stream.
• Managing Hugging Face API rate limits gracefully with client-side caching and fallback scoring.

Have a similar challenge?

If you’re planning something along these lines, I’d be happy to talk through the requirements and where I can help.