Directional prediction of stock prices using breaking news on Twitter-Reference-Cited by-同舟云学术

Directional prediction of stock prices using breaking news on Twitter

Published:2017-02-21 Issue:1 Volume:15 Page:1-17
ISSN:2405-6464
Container-title:Web Intelligence
language:
Short-container-title:WEB

Author:

Alostad Hana¹,Davulcu Hasan¹

Affiliation:

1. School of Computing, Informatics and Decision Systems Engineering, Arizona State University, Tempe, Arizona 85287–8809, USA. E-mails: Hana.Alostad@asu.edu, Hasan.Davulcu@asu.edu

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Networks and Communications,Software

Reference21 articles.

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3. Twitter mood predicts the stock market;Bollen;Journal of Computational Science,2011

4. J.F. Carter, Mastering the Trade: Proven Techniques for Profiting from Intraday and Swing Trading Setups, American Media International, 2007.

5. R. Compton, C. Lee, J. Xu, L. Artieda-Moncada, T.-C. Lu, L. Silva and M. Macy, Using publicly visible social media to build detailed forecasts of civil unrest, Security Informatics 3 (2014), 4.

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