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

Shubham Khedkar and K. Meenakshi
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Shubham Khedkar: SRM Institute of Science and Technology, Big Data Analytics
K. Meenakshi: SRM Institute of Science and Technology

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 1027-1034 from Springer

Abstract: 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.

Keywords: Machine learning; Neural network; Big data; Prediction; S and P values (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_104

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DOI: 10.1007/978-3-030-41862-5_104

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