Kaiko, a cryptocurrency market data provider for institutional investors and enterprises., announced a major update to Kaiko Stream, a powerful live data distribution service designed for enterprises, with streaming tick-level order books and top of book data now available
These new features enable clients to build trade and order book monitoring systems accessible through a fully maintained software solution. Data is available for thousands of instruments trading on top-tier exchanges, all normalized into a single format optimized for effortless integrations.
This feature update also includes the ability to replay data for up to five weeks of rolling history, enabling traders to simulate real trading environments with tick-level precision.
“The ability to deliver top of book, order books, and tick trades from top-tier crypto exchanges all through a single endpoint is a groundbreaking feature that leads the industry at all levels of service: stability, latency, and data granularity.”
– Ambre Soubiran, Kaiko CEO
As the company’s flagship product Kaiko Stream enables clients to build live market data feeds for any combination of data type, instrument, and exchange through simple and intuitive commands.
Moreover, this is the first data distribution service in the cryptocurrency industry that leverages powerful gRPC technology, one of the most efficient messaging systems used by streaming giants.
Users of Kaiko Stream also benefit from plug-and-play connectivity, possible through a fully maintained software solution that is ready to use, up-to-date, and with documentation for easy implementation.
The full feature release includes:
- Tick-Level Order Books: Every updated, added, or removed bid or ask for thousands of pairs on top-tier exchanges
- Top of Book: The highest bid and the lowest ask
- 5-Week Historical Market Replay: The ability to replay historical data for any time interval within 5 weeks of the current date
Other feature updates on the way for Kaiko Stream include an aggregated feed for best bid and best ask across all exchanges, full exchange coverage, and longer historical access.
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