UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 11 Issue 2
February-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2402162


Registration ID:
531356

Page Number

b569-b573

Share This Article


Jetir RMS

Title

Machine Learning-Based Stock Prediction System: A Technical Approach for Predicting Stock Prices

Abstract

This project aims to create a website that users a comprehensive solution for their stock market information and analysis needs. The website is built using data science and machine learning algorithms, providing users with real-time stock prices, historical data, and advanced analysis tools. By utilizing data visualization techniques, complex information becomes easily understandable, and users can explore and manipulate data using various tools.

Key Words

Stock market, Machine Learning Algorithms, Prediction, Analysis, Research, Training, Testing, Data.

Cite This Article

"Machine Learning-Based Stock Prediction System: A Technical Approach for Predicting Stock Prices", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.b569-b573, February-2024, Available :http://www.jetir.org/papers/JETIR2402162.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Machine Learning-Based Stock Prediction System: A Technical Approach for Predicting Stock Prices", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppb569-b573, February-2024, Available at : http://www.jetir.org/papers/JETIR2402162.pdf

Publication Details

Published Paper ID: JETIR2402162
Registration ID: 531356
Published In: Volume 11 | Issue 2 | Year February-2024
DOI (Digital Object Identifier):
Page No: b569-b573
Country: Mumbai, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000483

Print This Page

Current Call For Paper

Jetir RMS