Is it possible to predict global daily investing behaviour at a glance? Perhaps. Researchers from RMIT University in Melbourne have trained an algorithm to determine investor mood no matter where they are in the world, painting a more accurate prediction of daily global stock market returns. The algorithm analyses images used in news articles, scoring them based on overall mood; people tend to “buy and sell more impulsively and intensively” when in a bad mood.
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