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      Options Announces Partnership with KX to Provide Market Data Analytics Platform

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      Options Announces Partnership with KX to Provide Market Data Analytics Platform

      KX’s analytics engine provides users with the tools to analyze and monitor large volumes of time series and relational data in real-time with a view to enabling faster and better-informed trading decisions.

       

      May 3, 2023 ― Options Technology, a provider of capital markets services and market data, announced a new partnership with KX, a Data Timehouse technology provider and supplier of kdb, a time series database and analytics engine.

       

      Through this partnership, KX will utilize Options’ market data footprint to enhance the analytics platform, providing clients with both real-time and historical insights.

       

      Options will provide KX with access to repository of market data, including Equities, FX, Futures, Options, and Fixed Income data, as well as their market data analytics tools.

       

      The two companies then aim to create a cloud-based, market data analytics platform to deliver enhanced trading outcomes for clients.

       

      Danny Moore, President and CEO of Options Technology commented: 

      “Our partnership with KX marks a momentous occasion for Options Technology and the financial services sector as a whole” said . “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.”

       

      James Corcoran, Chief Growth Officer at KX 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.”

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