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
The Role of AI in the Stock Market; Enhance Trends Predictability & Investment Strategies for Better Financial Outcome.
Author(s) | Ayana Gupta |
---|---|
Country | India |
Abstract | The integration of Artificial Intelligence (AI) into the stock market represents a transformative shift in how financial trends are analyzed and predictions are made. To provide more precise investing methods and enhance investors' financial results, this paper investigates the use of AI technology to improve stock market trend forecasting. Artificial intelligence (AI) technologies, in particular machine learning models, show great promise in digesting vast amounts of financial data and spotting patterns that are frequently invisible to human analysts. By leveraging historical data, real-time market information, and various economic indicators, AI systems can generate forecasts with remarkable precision. The research looks at the methods used by AI to analyse stock market data, assesses how AI-driven tactics affect the success of investments, and discusses the limitations and ethical conundrums of using AI to financial decision-making. The findings suggest that the use of AI in the stock market not only enhances trend predictability but also empowers investors with data-driven insights, ultimately leading to more informed and strategic investment choices. |
Keywords | Artificial Intelligence (AI), financial trends, limitations and ethical conundrums, trend predictability |
Published In | Volume 6, Issue 6, November-December 2024 |
Published On | 2024-11-15 |
Cite This | The Role of AI in the Stock Market; Enhance Trends Predictability & Investment Strategies for Better Financial Outcome. - Ayana Gupta - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.30224 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i06.30224 |
Short DOI | https://doi.org/g8rd5d |
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