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Stock Market Prediction using Machine Learning: A Systematic Literature Review

Author

Listed:
  • Vadlamudi, Siddhartha

    (Quixey Inc., Vintech Solutions, Comcast, Philadelphia, USA)

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.

Suggested Citation

  • Vadlamudi, Siddhartha, 2017. "Stock Market Prediction using Machine Learning: A Systematic Literature Review," American Journal of Trade and Policy, Asian Business Consortium, vol. 4(3), pages 123-128.
    • Handle: RePEc:ris:ajotap:0074
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    More about this item

    Keywords

    Stock Market; Machine Learning; Predictive Algorithms;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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