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A Hybrid Approach Using Machine Learning Algorithm for Prediction of Stock Arcade Price Index

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • Shubham Khedkar

    (SRM Institute of Science and Technology, Big Data Analytics)

  • K. Meenakshi

    (SRM Institute of Science and Technology)

Abstract

Machine Learning is used in many data analytics problems to predict the future with more accuracy. Trend of stock and index price are important issues of this arcade. Stock is great option of attracting investors and financial indexes of country. The target of this paper is discovery progression of Facebook stock observations using s and p indexes using numerous machine learning methods. We can use numerous machine learning algorithms to achieve the results. Moreover, we can predict weather arcade of Facebook stock is positive or negative. The result proves that Facebook stock exchange can be finding with machine learning methods.

Suggested Citation

  • Shubham Khedkar & K. Meenakshi, 2020. "A Hybrid Approach Using Machine Learning Algorithm for Prediction of Stock Arcade Price Index," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 1027-1034, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_104
    DOI: 10.1007/978-3-030-41862-5_104
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