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Please refer to this blog post for more information. Identification of main differentiating factors among the available solutions. The quality of the interpretation of the sentiment in the online buzz in the social media and the online news can determine the predictability of financial markets and cause huge gains or losses.

That is why a number of researchers have turned their full attention to the different aspects of this problem lately. However, there is no well-rounded theoretical and technical framework for approaching the problem to the best of our knowledge. We believe the existing lack of such clarity on the topic is due to its interdisciplinary nature that involves at its core both behavioral-economic topics as well as artificial intelligence.

We dive deeper into the interdisciplinary nature and contribute to the formation of a clear frame of discussion. We review the related works that are about market prediction based on online-text-mining and produce a picture of the generic components that they all have.

Prediction of stock values based on fuzzy logic using fundamental ana…

We, ricochet riches moneymakergroup, compare each system with the rest and identify fuzzy logic stock market prediction main differentiating factors. Our comparative analysis of the systems expands onto the theoretical and technical foundations behind each.

This work should help the research community to structure this emerging field and identify the exact aspects which require further research and are of special significance. Journals Books Register Sign in Sign in using your ScienceDirect credentials Username.

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Please enable JavaScript to use all the features on this page. Expert Systems with Applications Volume 41, Issue fuzzy logic stock market prediction15 NovemberPages Author links open the author workspace. Opens the author workspace Opens the author workspace a. Numbers and letters correspond to the affiliation list.

Stock Market Trend Prediction Model for the Egyptian Stock Market Using Neural Networks and Fuzzy Logic | SpringerLink

Click to expose these in author workspace Saeed Aghabozorgi. Click to expose these in author workspace Teh Ying Wah.

Click to expose these in author workspace David Chek Ling Ngo. Abstract The quality of the interpretation of the sentiment in the online buzz in the social media and the online news can determine the predictability of financial markets and cause huge gains or losses. Keywords Online sentiment analysis.

Fuzzy Logic based Stock Value Prediction using Fundamental Analysis | Oriental Journal of Computer Science and Technology

Social media text mining. Stock prediction based on news. Check if you have access through your login credentials or your institution. Elsevier About ScienceDirect Remote access Shopping cart Contact and support Terms and conditions Privacy policy. Cookies are used by this site. For more information, visit the cookies page.