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Abstract
Due to the complex nature of stock market prediction, it has been a trending area of interest. This paper presents a comparison of the prediction by inputting different classifiers. Furthermore, the results of the comparison are done on an accuracy basis. Each machine learning algorithm is tested against the National Association of Securities Dealers Automated Quotations System (NASDAQ), New York Stock Exchange (NYSE), Nikkei, and Financial Times Stock Exchange (FTSE). Furthermore, several machine learning algorithms are compared with a normal and a leaked data set.Department
Computer SciencePublisher
Elsevier B.V.Journal title
Procedia Computer Scienceae974a485f413a2113503eed53cd6c53
10.1016/j.procs.2021.10.071
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Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/