Prediction of Indian Stocks by using Machine Learning Techniques- A review paper

Authors

  • Sitaram Pandey Assistant Professor, University Department of Management, Vinoba Bhave University, Hazaribagh, Jharkhand.
  • P.K. Nayak Associate Professor, Trinity Institute of Professional Studies (TIPS), Dwarka, New Delhi.

DOI:

https://doi.org/10.48165/acspublisher.tjmitm.2022.02

Keywords:

Machine learning, stock prices, prediction, time-series data

Abstract

Investors who trade stocks must have access to timely information to make wise decisions. The decision-making process is influenced by a variety of elements because a stock exchange trades various stocks. Additionally, stock price behaviour is unpredictable and challenging to forecast. These factors make stock price forecasting both a crucial and difficult procedure. Finding the prediction model with the lowest error rate and highest forecast accuracy becomes the focus of this research. This article summarises studies on machine learning methods and algorithms used to increase stock price prediction precision.

References

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Published

2022-07-21

Issue

Vol. 13 No. Special Issue (2022): Trinity Institute of Professional Studies (TIPSCON 2022)

Section

Articles

License

Copyright (c) 2022 Trinity Journal of Management, IT & Media (TJMITM)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Prediction of Indian Stocks by using Machine Learning Techniques- A review paper. (2022). Trinity Journal of Management, IT & Media (TJMITM), 13(Special Issue), 45–48. https://doi.org/10.48165/acspublisher.tjmitm.2022.02
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