KX and Options Technology Partner to Provide Market Data Analytics Platform

3 May 2023 | 2 minutes


KX, maker of kdb, the world’s fastest time series database and analytics engine, and a leader in Data Timehouse technology , is pleased to announce a new partnership with Options Technology, the leading provider of capital markets services and market data. Together, the two companies will create a cloud-based, market data analytics platform that will deliver enhanced trading outcomes for clients.

Through this partnership, KX will utilize Options’ extensive market data footprint to enhance the analytics platform, providing clients with real-time and historical insights. Options will provide KX with access to its vast repository of market data, including Equities, FX, Futures, Options, and Fixed Income data, as well as advanced market data analytics tools.

Our partnership with KX marks a momentous occasion for Options Technology and the financial services sector as a whole” said Danny Moore, President and CEO of Options Technology. “The integration of our market data and analytics solutions with KX’s market-leading time series database and Data Timehouse technology will be a game-changer, providing clients with unparalleled insights and enabling them to make informed trading decisions in real-time.

KX’s analytics engine gives users the ability to analyze and monitor large volumes of time series and relational data in real-time, enabling them to make faster and better-informed trading decisions. The addition of Options’ data will further enhance the platform’s capabilities, providing users with an even more comprehensive view of the market.

James Corcoran, Chief Growth Officer added: The partnership with Options Technology demonstrates our commitment to making it easier for firms to consume market data as a service, by providing a packaged offering so that users can get to value and insights straight away, without having to build and maintain their own infrastructure. It’s a powerful proposition for firms looking to give their data science and quant research teams a greater competitive edge.