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CloudQuant Builds Real-Time Adaptor to ICE Consolidated Feed

CloudQuant, a leading data, research, and technology firm has expanded its channel engagement with ICE Data Services by creating a Real-Time adaptor to enable mutual customers to access the ICE Consolidated Feed. CloudQuant’s Real-Time adaptor, with easy-to-use Excel plug-in and enterprise data fabric technology, is designed to provide easy access to ICE Consolidated Feed’s extensive coverage which aggregates content from over 650 sources including 150+ exchanges, cross-asset OTC coverage, indices, and news.

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“We’re pleased to work with a leading company like CloudQuant to help extend the accessibility of our Consolidated Feed and provide a new way to access our data.”

CloudQuant integrated ICE Consolidated History in 2021, making it accessible to customers over the company’s high-performance Liberator Enterprise Data Warehouse, which eliminates the need for development work, delivering tick data into a cloud environment. Liberator’s tick data warehouse has over 15,000 other fundamental, reference and alternative data sources connected. With the new integration between ICE Consolidated Feed and CloudQuant, real-time streaming data users have a simplified pathway to consume tick data through one line of code via API or CloudQuant’s streaming Excel plug-in.

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CloudQuant’s technology stack, through a toolset that integrates directly with ICE’s quality market data, is designed to remove technology barriers for many small and mid-sized businesses.

“Our relationship opens the door for clients of all tiers to gain access to a wide range of global multi-asset quality data. Researchers, Traders, and app developers can now reach ICE’s market data, directly through CloudQuant’s Liberator Data Fabric,” said Founder and CEO of CloudQuant, Morgan Slade.

Maurisa Baumann, Vice President, Feeds and Desktops at ICE, said, “We’re pleased to work with a leading company like CloudQuant to help extend the accessibility of our Consolidated Feed and provide a new way to access our data.”

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