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Machine Learning Based Stock Market Analysis: A Short Survey

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Innovative Data Communication Technologies and Application (ICIDCA 2019)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 46))

Abstract

Finance is one of the pioneering industries that started using Machine Learning (ML), a subset of Artificial Intelligence (AI) in the early 80s for market prediction. Since then, major firms and hedge funds have adopted machine learning for stock prediction, portfolio optimization, credit lending, stock betting, etc. In this paper, we survey all the different approaches of machine learning that can be incorporated in applied finance. The major motivation behind ML is to draw out the specifics from the available data from different sources and to forecast from it. Different machine learning algorithms has their abilities for predictions and are heavily depended on the number and quality of parameters as input features. This work attempts to provide an extensive and objective walkthrough in the direction of applicability of the machine learning algorithms for financial or stock market prediction.

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Author information

Authors and Affiliations

  1. Vishwakarma Government Engineering College, GTU, Ahmedabad, India

    Hrishikesh Vachhani, Arkesh Thakkar, Vyom Shah, Raj Sojitra & Jitendra Bhatia

  2. Dean of College of Computing and Informatics, University of Sharjah, Sharjah, UAE

    Mohammad S. Obiadat

  3. King Abdullah II School of IT, University of Jordan, Amman, Jordan

    Mohammad S. Obiadat

  4. University of Science and Technology Beijing, Beijing, China

    Mohammad S. Obiadat

  5. College of Engineering, Al-Balqa Applied University, Al-Salt, Jordan

    Mohammad S. Obiadat

  6. Institute of Technology, Department of Computer Science and Engineering, Nirma University, Ahmedabad, India

    Sudeep Tanwar

Authors
  1. Hrishikesh Vachhani
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  2. Mohammad S. Obiadat
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  3. Arkesh Thakkar
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  4. Vyom Shah
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  5. Raj Sojitra
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  6. Jitendra Bhatia
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  7. Sudeep Tanwar
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Corresponding authors

Correspondence to Mohammad S. Obiadat or Sudeep Tanwar .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Gnanamani College of Technology, Namakkal, India

    Jennifer S. Raj

  2. College of Computer Engineering and Sciences, Prince Mohammad Bin Fahd University, Al-Khobar, Saudi Arabia

    Abul Bashar

  3. Purdue Polytechnic Institute, Purdue University, West Lafayette, IN, USA

    S. R. Jino Ramson

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Vachhani, H. et al. (2020). Machine Learning Based Stock Market Analysis: A Short Survey. In: Raj, J., Bashar, A., Ramson, S. (eds) Innovative Data Communication Technologies and Application. ICIDCA 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 46. Springer, Cham. https://doi.org/10.1007/978-3-030-38040-3_2

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