How to Optimize Market Data APIs for Millisecond-Level Trading Performance

This article outlines practical techniques for reducing latency in market data pipelines, including asynchronous API requests, batching and delta updates, and lightweight data structures. By optimizing how data is fetched and processed, developers can significantly improve performance and reliability in high-frequency trading environments, where milliseconds directly impact outcomes.