Research Article

Examining the Potential of Artificial Intelligence and Machine Learning in Predicting Trends and Enhancing Investment Decision-Making

Authors

  • Asere Gbenga Femi Department of Computer Science, Federal School of Statistics, Manchok, Kaduna State, Nigeria

    aseregbenga@gmail.com

  • Nuga Kehinde Adetayo Department of General Studies, Federal School of Statistics, Manchok, Kaduna State, Nigeria

Abstract

This research explores the vast potential of Artificial Intelligence (AI) and Machine Learning (ML) in predicting trends and enhancing investment decision-making. The financial market is highly complex and dynamic, making it challenging for investors to make accurate and timely decisions. Through the application of AI and ML techniques, this research aims to harness the power of data-driven approaches for trend identification and prediction. The research not only investigates the predictive capabilities of AI and ML in the financial domain but also explores the potential for risk assessment and portfolio optimization. The findings from this research have significant implications for various stakeholders within the financial sector, including individual investors, fund managers, and financial institutions. The potential benefits include improved decision-making, enhanced risk management, and optimized portfolio performance. 
Overall, this research aims to shed light on the potential of AI and ML in predicting trends and improving investment decision-making. By combining the power of these advanced technologies with human expertise, investors can gain a competitive edge in navigating the dynamic and often unpredictable financial landscape.

Article information

Journal

Scientific Journal of Engineering, and Technology

Volume (Issue)

1 (1)

Pages

15-20

Published

27-05-2024

How to Cite

Asere, G. F., & Nuga, K. A. (2024). Examining the Potential of Artificial Intelligence and Machine Learning in Predicting Trends and Enhancing Investment Decision-Making. Scientific Journal of Engineering, and Technology, 1(1), 15-20. https://doi.org/10.69739/sjet.v1i1.16

References

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Keywords:

Artificial Intelligence Machine Learning Predicting Trends Decision-Making