Web Dev

Trading & Risk Systems

Trading & Risk Systems

Problem

Commodities and futures trading software has almost no tolerance for lag — a hedging dashboard that lags the market or a notification that arrives late is simply wrong.

What we built

Optimised API controllers that cut P90 latency from ~500ms to ~150ms at 60 requests/second; a real-time trading service scaled from one region to 114 countries on SignalR with backpressure handling; a decoupled notification engine on SignalR and Azure Communication Services.

Impact

A 70% cut in P90 latency, a global rollout with zero downtime, and a fault-tolerant notification and reporting layer kept off the critical path of the main API.

Technology

  • .NET Core
  • React
  • TypeScript
  • SignalR
  • Azure
  • MSSQL
  • Elasticsearch

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