Predict Stock Market Behaviour: Role of Machine Learning Algorithms

Gurav U., Sidnal N. (2018) Predict Stock Market Behavior: Role of Machine Learning Algorithms. In: Bhalla S., Bhateja V., Chandavale A., Hiwale A., Satapathy S. (eds) Intelligent Computing and Information and Communication. Advances in Intelligent Systems and Computing, vol 673. Springer, Singapore.

15 Pages Posted: 21 Sep 2020

See all articles by Uma Gurav

Uma Gurav

K.I.T's college of Engineering

Date Written: 2018

Abstract

The Prediction of a dynamic, volatile and unpredictable stock market has been a challenging issue for the researchers over the past few years. This paper discusses stock market related technical indicators, computing mathematical models , most preferred algorithms used in data science industries ,analysis of various types of machine learning algorithms , overall summary of solutions. This paper is an attempt to perform the analysis of various issues pertaining to dynamic stock market prediction, based on the fact that minimization of stock Market investment risk is strongly correlated to minimization of forecasting errors.

Keywords: Machine Learning Algorithms, Stock Market Prediction, Efficient Market Hypothesis, Ensemble Machine Learning

JEL Classification: C18, O16

Suggested Citation

GURAV, UMA, Predict Stock Market Behaviour: Role of Machine Learning Algorithms (2018). Gurav U., Sidnal N. (2018) Predict Stock Market Behavior: Role of Machine Learning Algorithms. In: Bhalla S., Bhateja V., Chandavale A., Hiwale A., Satapathy S. (eds) Intelligent Computing and Information and Communication. Advances in Intelligent Systems and Computing, vol 673. Springer, Singapore., Available at SSRN: https://ssrn.com/abstract=3675953 or http://dx.doi.org/10.2139/ssrn.3675953

UMA GURAV (Contact Author)

K.I.T's college of Engineering ( email )

Gokul Shirgaon
Kolhapur, MA Maharashtra 416008
India

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