Coordinating Concurrent Exchange Calls with a JavaScript Task Queue
Summary
This document presents a pattern for running multiple exchange operations concurrently from a JavaScript trading strategy. Sequential requests for market depth can accumulate network delay; the platform’s Go wrapper allows calls to be launched asynchronously and their results collected later. To manage many changing tasks, the example adds a task list and worker that starts each call and assigns its returned value to the relevant field in shared strategy state.
The approach borrows a producer-consumer structure: strategy logic creates tasks, while a worker dispatches them and associates responses with their exchange and result type. The example mentions market data and order operations, including a two-exchange hedging context. It is illustrative rather than a complete execution system: task generation is omitted, and the article gives no timing benchmarks or discussion of synchronization, error handling, or stale results. Concurrent calls can reduce serial waiting, but their outcomes still need careful coordination in a live strategy.
Key ideas
- Sequential exchange requests can add network delays to a strategy loop.
- Asynchronous Go calls let a JavaScript strategy launch multiple exchange operations before waiting for results.
- A task queue can associate each response with the exchange and state field it updates.
- The producer-worker example omits task-generation logic and does not benchmark latency or detail failure handling.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.