International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Visualizing and Forecasting Stock

Abstract

The stock market is a place where you can buy and sell shares of publicly listed companies. Shares are also known as shares representing ownership in a company. A stock exchange is a link that allows for the purchase and sale of shares. Stock market forecasting is an act of trying to determine the future value of a company's stock. Stock market predictions are made possible with the help of machine learning. Allows you to analyze and predict future company stock prices. Many stock forecasting methods use a machine-by-line retrospective model. It is simple and easy to manage, but the main limitation of linear regression is that linear regression is linear prediction between dependent and independent variables that can be erroneous multiple times. It is also very sensitive to outsiders and creates overload of data. This project is about stock market pricing using a SVR model that will overcome the limit of the method used using line reversal. In line with editing the image representation using the SVR model, I also created a dashboard for this project to analyze stock. By using the dash, you can view the stock market image analysis that will work best Keywords: Stock Market, SRM, Dash, Machine Learning, Python.

Country : India

1 Kamlesh Bhati2 Ketan Bamne3 Shrikant Kamineni4 Piyush Kumar5 Prof. Abhishek Das

  1. Student, Department of Computer Science, MIT-ADT University, Pune, Maharashtra, India
  2. Student, Department of Computer Science, MIT-ADT University, Pune, Maharashtra, India
  3. Student, Department of Computer Science, MIT-ADT University, Pune, Maharashtra, India
  4. Student, Department of Computer Science, MIT-ADT University, Pune, Maharashtra, India
  5. Professor, Department of Computer Science, MIT-ADT University, Pune, Maharashtra, India

IRJIET, Volume 6, Issue 5, May 2022 pp. 162-164

doi.org/10.47001/IRJIET/2022.605020

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References

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