FinTrack — Real-Time Trading Platform

The Challenge

Our client needed a retail trading platform that could compete with institutional tools — real-time data feeds, complex charting, and reliable order execution at scale. Existing retail platforms couldn't meet the latency and reliability demands their trading volume required.

Our Solution

We built a microservices architecture purpose-built for high-throughput trading:

• Order Matching Engine: Built in Go for sub-100ms execution with concurrent processing across trading pairs
• Trading UI: React-based interface with real-time candlestick charts, order book depth, and portfolio tracking
• Time-Series Storage: ScyllaDB for high-throughput market data writes and reads at scale
• Real-Time Data Feeds: WebSocket-driven price streaming with low-latency delivery to all connected clients
• Risk Controls: Order validation, position limits, and circuit breakers built into the matching engine

Technical Approach

The platform was designed around a microservices model where each component — market data ingestion, order routing, matching, settlement, and UI delivery — scaled independently. Go handled the performance-critical matching layer, while Node.js managed ancillary services. Redis served as the high-speed cache for orderbook state, and ScyllaDB handled the sustained write load of time-series market data without degradation.

Results

The platform now serves 50,000+ daily active traders with 99.99% uptime and sub-100ms order execution latency — metrics that previously only institutional platforms could achieve at this price point.