THE IMPACT OF ARTIFICIAL INTELLIGENCE ON STOCK MARKET TRADING: TRENDS AND IMPLICATIONS

Authors

  • Nita Joby P Assistant Professor, Department of Commerce, Government Arts College, Bangalore, Karnataka – 560001. India
  • Dr. Vandana V C Assistant Professor, Department of Commerce, Government First Grade College, Malur. Karnataka, India

DOI:

https://doi.org/10.29121/shodhkosh.v5.i1.2024.4246

Keywords:

Artificial Intelligence, Stock Market, Algorithmic Trading, Machine Learning, Financial Technology

Abstract [English]

The integration of Artificial Intelligence (AI) into stock market trading has significantly reshaped investment strategies, enabling automated decision-making, advanced data analysis, and predictive capabilities. This paper examines the evolution of AI in trading, explores current trends such as high-frequency trading (HFT) and sentiment analysis, and analyzes its implications on market efficiency and stability. Additionally, the study highlights challenges, including algorithmic risks, regulatory concerns, and ethical considerations. Using statistical analysis, tables, and graphical representations, this research demonstrates how AI-driven trading has outperformed traditional human-based trading and discusses future prospects.

References

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Published

2024-01-31

How to Cite

P, N. J., & V C, V. (2024). THE IMPACT OF ARTIFICIAL INTELLIGENCE ON STOCK MARKET TRADING: TRENDS AND IMPLICATIONS. ShodhKosh: Journal of Visual and Performing Arts, 5(1), 1694–1700. https://doi.org/10.29121/shodhkosh.v5.i1.2024.4246