AI-Driven Trade Surveillance Framework for Real-Time Market Manipulation Detection in Financial Institutions

Authors

  • Karthikeyan Thandayutham

Keywords:

Artificial Intelligence, Trade Surveillance, Market Manipulation Detection, Explainable AI, Regulatory Compliance

Abstract

The challenges that affect financial markets are growing ever more difficult since the advanced forms ofmanipulation cannot be detected properly using traditional surveillance systems. The combination ofmachine learning and artificial

References

Trapets, "AI and machine learning in trade surveillance: a 2025 guide,’ 2025. [Online]. Available: https://www.trapets.com/resources/blog/ai-machine-learning-trade

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Published

2025-12-02

How to Cite

Karthikeyan Thandayutham. (2025). AI-Driven Trade Surveillance Framework for Real-Time Market Manipulation Detection in Financial Institutions . Journal of Computational Analysis and Applications (JoCAAA), 34(12), 1–9. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4284

Issue

Vol. 34 No. 12 (2025): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.