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

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 10 Issue 6
June-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2306312


Registration ID:
518916

Page Number

d91-d106

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Title

Stock Market Analysis Using Statistical Techniques.

Authors

Abstract

The project "Stock Market Analysis Using Statistical Techniques" aims to apply various statistical methods to analyze and gain insights into the stock market. Through the utilization of statistical techniques such as regression analysis, time series analysis, and correlation analysis, this project seeks to extract valuable information from historical stock data. The analysis conducted in this project focuses on identifying trends and patterns in stock price movements, understanding the factors that influence stock prices, and making predictions and forecasts for future stock prices. By analyzing historical data and applying statistical models, we aim to provide investors with valuable insights that can assist them in making informed investment decisions.

Key Words

Stock Market, Stocks, Trend, Trading.

Cite This Article

"Stock Market Analysis Using Statistical Techniques.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.d91-d106, June-2023, Available :http://www.jetir.org/papers/JETIR2306312.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

"Stock Market Analysis Using Statistical Techniques.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppd91-d106, June-2023, Available at : http://www.jetir.org/papers/JETIR2306312.pdf

Publication Details

Published Paper ID: JETIR2306312
Registration ID: 518916
Published In: Volume 10 | Issue 6 | Year June-2023
DOI (Digital Object Identifier):
Page No: d91-d106
Country: Ghaziabad, Uttar Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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