Case studiesTrading software

Crypto trading platform: market data and concurrent execution

A trading-software project needed to distribute changing market data to concurrent automated strategies. Jimit Raval contributed engineering on the real-time core, WebSocket connections and failure handling during internal testing.

Business
Anonymized trading-platform company
Sector
Trading software
Scope
Market data and concurrent execution
Contributor
Jimit Raval
Editorial illustration: a coordinated mechanical timing assembly with one orange arm
AI-generated editorial illustration of the project’s domain.

Many strategies depended on the same changing data feed.

Automated strategies depend on the data available when they make a decision. A delayed feed and a failed connection are different problems, and both can affect what the application does next.

Running multiple strategies adds another boundary: a failure in one strategy should be handled without losing visibility into the others. The platform needed to connect its market feed, execution state and dashboard as one system.

Work from the incoming feed through execution and failure handling.

The engineering focused on WebSocket connections carrying market updates and the backend executing configured strategies. The work included handling dropped feeds and strategy errors during internal testing.

The dashboard brought market information and running strategies into the same view. The implementation connected feed behavior to execution state so the application could expose what was running and how it was responding.

What the workflow includes

  • Carry market updates over WebSocket connections.
  • Run individually configured automated strategies concurrently.
  • Handle connection failures and strategy exceptions.
  • Expose market information and strategy state in a dashboard.

Project details

Project materials showing the workflows and interfaces described in this case.

An engine exercised under concurrent internal test workloads.

The delivered platform was exercised in internal testing against concurrent workloads and live market data. This case describes the execution infrastructure and error-handling work, without presenting engineering test results as trading returns.

What this means for the technology owner.

A technology handover for automated execution needs more than the strategy code. It must cover feed providers, credentials, reconnection behavior, execution controls and the limits of the test environment. Those dependencies determine how a new operator can inspect and manage the system.

How to hand over software to a new team →

Web appWebSocketsNodeReal-timeCloud

Project contribution: Jimit Raval. The scope described above identifies the work behind this case.

Editorial review: Ego Eimi · Updated September 6, 2026 · About the team

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