Case Study: London Stock Exchange pulls delayed market data efficiently with CloudQuery

London Stock Exchange syncs a full day of trading data in 30 minutes with CloudQuery

The London Stock Exchange was legally required to provide, but made it difficult to access, its delayed post-trade market data. CloudQuery was engaged to build a solution to pull this immense dataset, which contains every transaction executed in one-minute trading windows throughout the day, from an awkward web source.

CloudQuery implemented a custom source plugin using its Python SDK to scrape, parse, and sync the data. The solution efficiently processes the high-volume data and loads it into a database. This allows the London Stock Exchange to have a complete, queryable copy of a full day's raw trading data available shortly after the market closes, with the flexibility to output the data to any supported destination.

London Stock Exchange