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The speed of the COVID market crash and recovery happened so fast, it was clear that traditional numbers weren’t timely enough to get a read on what was going on. This Bloomberg podcast digs into how Arbor Data Science was able to monitor thousands of different categories of Google Search queries to know instantly when the recovery started and what sectors of the economy were leading the way.
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The use of so-called “alternative data” has been gathering attention for some time. Investors have been looking at things like credit cards or satellite photos of Walmart parking lots for insights into businesses before earnings or official government numbers come out.
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More posts by Gareth Jones
