International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

Stock Market Analysis in Data Mining

Author(s) Sangam Kumar, Komal Sandhu, Shivani Thakur
Country India
Abstract Stock Request is a popular financial strategy that guarantees high returns. One can think of the stock inquiry as a specific type of data mining. It is a location or organisation where people and organisations can exchange stocks. This investigation has been made possible by the requirement to forecast stock demand in order to inform investors of the best times to purchase, sell, or hold a stock in order to generate profits. The method for analysing stock request trends using data mining is suggested in this article. By analysing data mining in stock marketing, we can determine whether a company's price will increase over time compared to its current price. This investigation has been motivated by the requirement to predict the stock demand to grease investors about when to buy, vendor hold a stock in order to make profit.
Keywords Stock market, Data mining
Field Computer Applications
Published In Volume 5, Issue 2, March-April 2023
Published On 2023-04-23
Cite This Stock Market Analysis in Data Mining - Sangam Kumar, Komal Sandhu, Shivani Thakur - IJFMR Volume 5, Issue 2, March-April 2023. DOI 10.36948/ijfmr.2023.v05i02.2563
DOI https://doi.org/10.36948/ijfmr.2023.v05i02.2563
Short DOI https://doi.org/gr6h8g

Share this