Stock Market Prediction using Machine Learning: A Systematic Literature Review

Siddhartha Vadlamudi
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Siddhartha Vadlamudi: Quixey Inc., Vintech Solutions, Comcast, Philadelphia, USA

American Journal of Trade and Policy, 2017, vol. 4, issue 3, 123-128

Abstract: Different machine learning algorithms are discussed in this literature review. These algorithms can be used for predicting the stock market. The prediction of the stock market is one of the challenging tasks that must have to be handled. In this paper, it is discussed how machine learning algorithms can be used for predicting the stock value. Different attributes are identified that can be used for training the algorithm for this purpose. Other factors are also discussed that can affect the stock value.

Keywords: Stock Market; Machine Learning; Predictive Algorithms (search for similar items in EconPapers)
JEL-codes: C53 (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:ris:ajotap:0074

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