The findings, published in the journal Scientific Reports, suggest there may be a link between online behaviour and real-world economic indicators.
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Furthermore, it was shown by Tobias Preis et al. that there is a correlation between Google Trends data of company names and transaction volumes of the corresponding stocks on a weekly time scale.
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In April 2012, Tobias Preis, Helen Susannah Moat, H. Eugene Stanley and Steven R. Bishop used Google Trends data to demonstrate that Internet users from countries with a higher per capita gross domestic product (GDP) are more likely to search for information about the future than information about the past.
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In April 2013, Tobias Preis and his colleagues Helen Susannah Moat and H. Eugene Stanley introduced a method to identify online precursors for stock market moves, using trading strategies based on search volume data provided by Google Trends.
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