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 8, Issue 5 (September-October 2026) Submit your research before last 3 days of October to publish your research paper in the issue of September-October.

A Study On Algorithm Trading

Author(s) Mr. Vikas S Patil, Dr. Bharathi N.S Yadav, Mr. Tapesh Kr Paul, Mr. Vachin S, Mr. Vinay R Jois, Mr. Yashas B
Country India
Abstract Stock Markets are the integrated part of not only the Indian economy but also global economy. The significance of the stock markets is felt by the global economies in different phases ranging from stock market crash 1929 in United States of America to the Harshad Mehta Scam in Indian stock markets. Different trading strategies are followed by large scale institutional investors to reap the maximum benefits from the markets. Algorithmic trading, commonly referred to as Algo-trading, is now of the emerging and trending trading strategies followed by institutional investors in Indian stock market. It is a trading based on computers being given pre-determined instructions so that transactions are carried out in a speed and frequency that is impossible for human traders. There are different platforms available for Algo-trading and this paper seeks to identify the major benefits of Algo-trading and seeks to communicate the reasons for the growth of Algo-trading not only in India but also in a global scenario. Further this paper identifies the most preferred platform for Algo-trading and challenges encountered by the investors adopting these strategies. Finally this study arrives at a meaningful conclusion and provides scope for further research inthis area of study.
Keywords Trading Strategies, Computer based trading, Institutional investors and Algorithmic trading
Field Mathematics > Economy / Commerce
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-04-30
DOI https://doi.org/10.36948/ijfmr.2026.v08i02.76662

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