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03 May 2022
Germany
Reporter Jenna Lomax

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Deutsche Börse to provide derivatives market data from CME Group on A7 Analytics platform

Deutsche Börse is expanding the market data offering on its cloud-based online analytics platform, A7, to include historical market data from global derivatives marketplace, CME Group.

Historical data from CME Group will be available daily on a T+1 basis, and will initially include data from each of its four designated contract markets – the Chicago Board of Trade, Chicago Mercantile Exchange, Commodity Exchange and New York Mercantile Exchange.

Through the initiative, users of A7 can simultaneously access extensive market data from Eurex, Xetra and EEX to trade more efficiently or to develop and test execution algorithms more easily, says Deutsche Börse.

The initiative is Deutsche Börse’s response to customer requests for comprehensive market data that they can access via a single interface.

Deutsche Börse and CME Group recently reached a licensing agreement, which will enable market participants to test their trading strategies and make informed trading decisions by subscribing to market data sets from exchanges via the A7 platform.

The new data sets from CME Group will be available from June of this year.

Deutsche Börse’s analytics platform, first launched in July 2020, is built directly into the clients’ front-end without the need to operate their own data warehouse to access analytics.

Alireza Dorfard, head of market data and services, says: “Our customers have a strong demand for data on global derivatives markets. Through the cooperation with CME Group, they can now obtain and analyse this data easily and promptly via A7. We will continue to expand our data offering to meet the needs of our clients.”

Trey Berre, global head of data services at CME Group, comments: “This robust combination of data and analytics, accessed through services like Deutsche Börse’s cloud-based platform, enables a broader community of investors to identify actionable insights with greater speed and less complexity.”



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