Tweets predict Dow's performance.

PositionStock Market - Dow Jones Industrial Average - Brief article

Measurements of the collective public mood derived from millions of tweets can predict the rise and fall of the Dow Jones Industrial Average up to a weak in advance with an accuracy approaching 90%, information scientists from Indiana University, Bloomington, have found. Researchers at the School of Informatics and Computing employed a pair of mood-tracking tools to analyze more than 9,800,000 tweets from 2,700,000 users during a 10-month period.

One tool, OpinionFinder, analyzed the tweets to provide a positive or negative daily time series of public mood. The second, Google-Profile of Mood States, measured the mood of tweets in six dimensions: calm, alert, sure, vital, kind, and happy. Together, the two tools provided the researchers with seven public mood time series that then could be set against a similar daily time series of Dow Jones closing values.

"We were not interested in proposing an optimal Dow Jones prediction...

To continue reading

Request your trial

VLEX uses login cookies to provide you with a better browsing experience. If you click on 'Accept' or continue browsing this site we consider that you accept our cookie policy. ACCEPT