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

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DOI Prefix: 10.47001/IRJIET

Visualizing and Forecasting Stock

Kamlesh BhatiStudent, Department of Computer Science, MIT-ADT University, Pune, Maharashtra, IndiaKetan BamneStudent, Department of Computer Science, MIT-ADT University, Pune, Maharashtra, IndiaShrikant KamineniStudent, Department of Computer Science, MIT-ADT University, Pune, Maharashtra, IndiaPiyush KumarStudent, Department of Computer Science, MIT-ADT University, Pune, Maharashtra, IndiaProf. Abhishek DasProfessor, Department of Computer Science, MIT-ADT University, Pune, Maharashtra, India

Vol 6 No 5 (2022): Volume 6, Issue 5, May 2022 | Pages: 162-164

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 07-06-2022

doi Logo doi.org/10.47001/IRJIET/2022.605020

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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.

Keywords

Forecasting, Prediction, SVR Model, Data Visualization


Citation of this Article

Kamlesh Bhati, Ketan Bamne, Shrikant Kamineni, Piyush Kumar, Prof. Abhishek Das, “Visualizing and Forecasting Stock” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 6, Issue 5, pp 162-164, May 2022. Article DOI https://doi.org/10.47001/IRJIET/2022.605020

Licence Copyright (c) 2026 International Research Journal of Innovations in Engineering and Technology creative common licence This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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