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Predictive Analytics Platform Predata Launches U.S. Equities Offering

Predata, the predictive analytics company for anticipating geopolitical risk, today announced the release of a new suite of signals for U.S. equities. The signals quantify online attention and concern to each of the eleven S&P equity sectors, as well as constituent companies and macro themes within those sectors.

Financial market participants have found success in applying the Predata suite of geopolitical risk signals to multiple asset classes, including FX and commodities, but this marks the first dedicated offering for U.S. equities. Predata customers are now able to use these new out-of-the box signals to inform their perspective on the various equity sectors, going from a macro view of sector themes all the way down to a single company. These new signals round out Predata’s financial markets vertical, and were built using the same methodology the company used to build its industry-leading geopolitical risk signals. The Predata platform applies machine learning techniques to transform web traffic data into large-scale real-world insights.

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“We’ve seen a great deal of client demand for Predata signals that relate to equities,” said Mars Spencer, VP of Financial Markets for Predata. “After conducting extensive research and tests to ensure the signals would make a positive impact for clients, we’re pleased to launch this new offering and are thrilled to see the responses from users so far.”

In addition to this development, Predata added to its advisory board Scott Nations, Chief Investment Officer of NationsShares, who brings a wealth of experience in trading and financial engineering. “I have found the Predata technology to be fascinating,” said Nations. “I’m excited to help the Predata team continue to expand their offerings within both buy-side and sell-side financial market participants.” Nations joins Predata’s finance advisory board along several leading industry figures, including Kyle Bass, Neal Brady, Ashby Monk and Emmanuel Derman.

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