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

Radu Nicoara | Zendy

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

Author(s) -

Radu Nicoara

Publication year - 2015

Publication title -

business and economic research

Language(s) - English

Resource type - Journals

ISSN - 2162-4860

DOI - 10.5296/ber.v5i2.8664

Subject(s) - stock market , stock (firearms) , econometrics , span (engineering) , algorithm , economics , mathematics , financial economics , history , engineering , context (archaeology) , archaeology , civil engineering

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.

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