International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 6
November-December 2024
Indexing Partners
Stock Market Analysis in Data Mining
Author(s) | Sangam Kumar, Komal Sandhu, Shivani Thakur |
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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 |
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E-ISSN 2582-2160
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IJFMR DOI prefix is
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