Design and Development of Algorithmic Trading in Stock Market Using Artificial Intelligence

Algorithmic trading has become an increasingly popular method of investing in stock requests due to its potential to offer progressive returns and lower risk in comparison to traditional styles. The current status of algorithmic trading in stock requests is examined in this review paper, along with the creative tactics used by dealers. We analyze the advantages and disadvantages of algorithmic trading, along with the variables that may affect its performance. We also discuss the difficulties dealers have enforcing algorithmic trading and the possibility that algorithmic trading will increase request insecurity. Finally, we conclude by making suggestions for future research in the area of algorithmic trading in stock requests. Overall, the objective of this review is to give a comprehensive overview of algorithmic trading in the stock request and the implicit effects it has on financial assiduity.

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Publication Details

Published
2024-11-13
DOI
https://doi.org/10.1109/ictacs62700.2024.10841258
Primary Topic
Stock Market Forecasting Methods
Type
article
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article

Design and Development of Algorithmic Trading in Stock Market Using Artificial Intelligence

Jasneet Chawla, Harmanjeet Singh, Vaibhav Verma, Kushagra Jangra
Stock Market Forecasting Methods
article

Design and Development of Algorithmic Trading in Stock Market Using Artificial Intelligence

Jasneet Chawla, Harmanjeet Singh, Vaibhav Verma, Kushagra Jangra
article en

Abstract

Algorithmic trading has become an increasingly popular method of investing in stock requests due to its potential to offer progressive returns and lower risk in comparison to traditional styles. The current status of algorithmic trading in stock requests is examined in this review paper, along with the creative tactics used by dealers. We analyze the advantages and disadvantages of algorithmic trading, along with the variables that may affect its performance. We also discuss the difficulties dealers have enforcing algorithmic trading and the possibility that algorithmic trading will increase request insecurity. Finally, we conclude by making suggestions for future research in the area of algorithmic trading in stock requests. Overall, the objective of this review is to give a comprehensive overview of algorithmic trading in the stock request and the implicit effects it has on financial assiduity.

Chandigarh University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 68%
Stock Market Forecasting Methods
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