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Refinitiv brings its Tick Historical past monetary knowledge to Google’s cloud


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Monetary markets knowledge supplier Refinitiv Ltd. stated at this time it’s making its Tick Historical past dataset accessible on the Google Cloud Platform.

It’s a major transfer as a result of it means clients will be capable of question and analyze the intensive Refinitiv dataset utilizing Google’s BigQuery service.

Refinitiv’s Tick Historical past dataset is comprised of historic tick knowledge that’s drawn from real-time content material. The dataset gives international intra-day time and gross sales, quotes and market depth content material relationship again to January 1996 for an intensive vary of equities, indices, overseas change, cash, fixed-income and derivatives devices.

By combining the dataset with Google’s cloud, clients will profit from a decrease whole price of possession as it would imply spending much less on the infrastructure and storage sources required to keep up the database, Refinitiv stated.

Furthermore, clients will be capable of use BigQuery to energy extra in-depth evaluation of the Tick Historical past knowledge, Refinitiv stated. That’s necessary as a result of it offers clients a approach to construct and back-test buying and selling methods, carry out quantitative analysis and evaluation, and guarantee any regulatory necessities are met. As well as, clients can count on to realize quicker entry to insights as the information could be analyzed the place it resides, with out being moved right into a separate analytics engine first.

The upshot, in line with the corporate: Knowledge scientists and quantitative analysts could be extra productive, since they’re spending much less time making ready and ready for knowledge supply.

In an interview on SiliconANGLE’s cellular livestreaming studio theCUBE in December, James Turck, Refinitiv’s international head of structure and cloud, stated the corporate’s surveys confirmed that monetary establishments are exhibiting a a lot keener curiosity in cloud providers than earlier than. He defined this curiosity was being pushed not solely by price efficiencies, but additionally by advantages comparable to extra agility and innovation and larger resilience.

“Because the cloud delivers on its promise to make AI-based analytics extra available, the potential of information to ship solutions that drive enterprise efficiency will get ever larger,” stated Refinitiv Proposition Director Catalina Vasquez. “Combining Google Cloud’s machine studying instruments with Refinitiv’s Tick Historical past knowledge in BigQuery is a step-change for patrons trying to develop new buying and selling fashions, interpret commerce patterns or adjust to rules.”

Picture: AhmadArdity/Pixabay

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