ARTIFICIAL INTELLIGENCE IN FINANCIAL MARKETS: ALGORITHMS AND APPLICATIONS

Authors

  • Sai Teja Boppiniti Sr. Data Engineer and Sr. Research Scientist Department of Information Technology, FL, USA

DOI:

https://doi.org/10.26662/ijiert.v8i1.pp118-127

Keywords:

Artificial Intelligence, Financial Markets, Machine Learning, Algorithmic Trading, Deep Learning, Fraud Detection, Credit Scoring, Market Sentiment Analysis, Natural Language Processing, Ethical AI, Financial Risk Management

Abstract

Artificial Intelligence (AI) has increasingly become a transformative force in the financial markets, offering innovative solutions to improve decision-making, risk management, and trading strategies. This review explores the major AI algorithms and their applications in financial markets, including machine learning, deep learning, and natural language processing techniques. The study highlights how AI is used in algorithmic trading, fraud detection, credit scoring, and market sentiment analysis. Furthermore, the review examines the challenges of integrating AI into finance, such as regulatory concerns, data privacy, and the potential for model bias. Overall, AI offers significant potential to enhance efficiency, accuracy, and profitability in financial market operations. However, ethical considerations and the need for robust governance frameworks are also crucial to ensure responsible deployment of AI technologies in the financial sector.

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Published

2021-01-31

Issue

Vol. 8 No. 1 (2021): IJIERT

Section

Engineering and Technology

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Copyright (c) 2024 International Journal of Innovations in Engineering Research and Technology

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