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

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Confidential Stock Trading on Encrypted VM’s

Author(s) Babu E N, D Jai Chandra Kumar, Niranjan L, Nithish Kumar S N, Dr. Krishna Kumar P.R, Prof. Ranjani Devi M
Country India
Abstract This project presents a stock trading platform designed to help beginners learn and practice trading. The platform uses virtual machines to create a safe and isolated environment, allowing users to test trading strategies without risking real money.
Keywords Stock trading platform, virtual machines, trading practice, skill building, beginner learning, financial education, safe trading environment.
Field Engineering
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-24
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.60468
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E-ISSN 2582-2160
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