I will build live trading data dashboard website with stock crypto forex market api


About this gig
Build a high-performance, real-time trading dashboard website custom-engineered to handle streaming market data across Stocks, Crypto, and Forex. I specialize in developing scalable, low-latency web applications using modern web stacks (React, Next.js, Node.js) paired with ultra-responsive charting libraries like TradingView Lightweight Charts to deliver institutional-grade user experiences.
Whether you need a sleek crypto portfolio web app, a multi-asset forex analytics hub, or a full-scale stock screening platform, I integrate top-tier market data APIssuch as CoinAPI, Finage, Polygon.io, or TraderMadevia REST endpoints and WebSockets for sub-second, continuous updates without page reloads.
Your trading dashboard will come equipped with custom dynamic indicators, search filters, asset detail pages, interactive orderbook/ticker displays, and clean, mobile-responsive styling. Let us build a robust, secure, and visually stunning market dashboard that delivers data with maximum clarity and zero lag.
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Get to know Thomas Ray
Crafting fast secure and beautiful WordPress experiences
- FromUnited Kingdom
- Member sinceApr 2026
- Avg. response time15 hours
Languages
English
Other Website Development Services I Offer
FAQ
How do you handle high-frequency WebSocket data streams without degrading web browser performance?
I optimize front-end state rendering through data throttling, web workers, and canvas-based charting libraries like TradingView, preventing unnecessary React re-renders and keeping memory overhead minimal during heavy market movements.
Can I use my own market API keys (e.g., Binance, Polygon, Twelve Data), or do you provide the data feeds?
You will supply your own API keys for security and rate-limit control, but I configure full environment isolation, custom fallback handlers, and data normalization layers to accommodate any API provider you choose.
How is historical market data stored and structured for past-performance charting and analytics?
I set up efficient caching mechanisms and backend aggregation pipelines (using Redis/Node.js) so historical OHLCV candlestick data loads instantly without breaching external API rate limits.
