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Predicting Stock Market Indexes, Two Days In Advance, Using NewsInn Algorithm

Author

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  • Radu Nicoara

Abstract

NewsInn is an A.I. Driven Algorithm that processes and conglomerates news from major news publications. It uses an opinion extraction algorithm to do a sentiment analysis on every news article. Considering that stock markets are heavily influenced be world news, we conducted a study to show the link between the detected sentiment inside the news, and the most used Stock Market Indexes: S&P 500, Dow Jones and NASDAQ. Results showed an almost 70.00% accuracy in predicting market fluctuation two days in advance.

Suggested Citation

  • Radu Nicoara, 2015. "Predicting Stock Market Indexes, Two Days In Advance, Using NewsInn Algorithm," Business and Economic Research, Macrothink Institute, vol. 5(2), pages 308-314, December.
  • Handle: RePEc:mth:ber888:v:5:y:2015:i:2:p:308-314
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    File URL: http://www.macrothink.org/journal/index.php/ber/article/view/8664
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    More about this item

    Keywords

    Artificial Intelligence; Stock Market Index; Sentiment Analysis;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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