HIGH-FREQUENCY TRADING INFRASTRUCTURE AND ELECTRONIC TRADING EVOLUTION IN AMERICAN TREASURY MARKETS

Authors

  • Ganesh Marimuthu MUFG Securities, USA. Author

DOI:

https://doi.org/10.34218/IJCET_16_01_209

Keywords:

Electronic Trading Systems, Financial Market Infrastructure, High-Frequency Trading, Market Microstructure, Trading Technology Innovation

Abstract

This comprehensive article examines the transformation of financial markets through technological advancement and regulatory evolution, focusing on high-frequency trading infrastructure and electronic trading in American Treasury markets. The article explores key technological components including network architecture, FPGA implementations, and cloud computing integration, while analyzing their impact on market structure and trading efficiency. The article investigates the role of artificial intelligence, machine learning, and natural language processing in modern trading systems, along with the implications of regulatory frameworks on market transparency and risk management. Additionally, the article addresses current technical challenges in electronic trading and explores emerging technologies such as quantum computing, advanced AI integration, and blockchain applications that are shaping the future of financial markets.

References

SIFMA Insights, "Electronic Trading Market Structure Primer," SIFMA, New York, NY, USA, Tech. Rep., Oct. 2019. [Online]. Available: https://www.sifma.org/wp-content/uploads/2019/10/SIFMA-Insights-Electronic-Trading-Market-Structure-Primer.pdf

Peter Gomber,et al., "High-Frequency Trading," Deutsche Börse AG, Frankfurt, Germany, White Paper, 2021. [Online]. Available: https://www.deutsche-boerse.com/resource/blob/69642/6bbb6205e6651101288c2a0bfc668c45/data/high-frequency-trading_en.pdf

CDW, "Ultra-low-atency Networking," BizTech Magazine, Technical Report, pp. 1-28, 2023. [Online]. Available: https://biztechmagazine.com/sites/default/files/ultra-low-latency-networking_0.pdf

Visalakshi Palaniappan, et al., "A Review on High-Frequency Trading Forecasting Methods: Opportunity and Challenges for Quantum Based Method," IEEE Access ( Volume: 12), 2024. [Online]. Available: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10570090

Sunil Puranik, et al., "Acceleration of Trading System Back End with FPGAs Using High-Level Synthesis Flow," Electronics, vol. 12, no. 3, pp. 520-535, 2023. [Online]. Available: https://www.mdpi.com/2079-9292/12/3/520

Goutham Sabbani, "Cloud-Based High Frequency Trading,"Journal of Artificial Intelligence & Cloud Computing 2(3):1-2, 2023. [Online]. Available: https://www.researchgate.net/publication/382194474_Cloud-Based_High_Frequency_Trading

Alain Chaboud, et al., "All-to-All Trading in the U.S. Treasury Market," Federal Reserve Bank of New York Staff Reports, no. 1036, 2022. [Online]. Available: https://www.newyorkfed.org/medialibrary/media/research/staff_reports/sr1036.pdf

Dr. Vibha Suraj Bhusari, et al., "A Comprehensive Description of Artificial Intelligence Techniques in Financial Market," IEEE 5th International Conference on Contemporary Computing and Informatics (IC3I), 2023. Available: https://ieeexplore.ieee.org/document/10073189

Kaveri Singh, "A Study On Impact Of Market Microstructure On Trading Behaviour," Journal of Emerging Technologies and Innovative Research (JETIR), 2024. Available:

https://www.jetir.org/papers/JETIR2402454.pdf

Jinxiang Lu, "QUARTS: A Quantitative Research and Trading System," University of Texas at Austin, Technical Report TR-2023-15, pp. 1-42, 2023. [Online]. Available: https://repositories.lib.utexas.edu/server/api/core/bitstreams/c9867331-ab8d-405f-a47f-4d1fca698f4a/content

Yihao Gu. "Problems and Solutions of Quantitative Analysis in Financial Market," Highlights in Business, Economics and Management, 2023. [Online]. Available: https://drpress.org/ojs/index.php/HBEM/article/view/14757/14304

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Published

2025-02-12

How to Cite

Ganesh Marimuthu. (2025). HIGH-FREQUENCY TRADING INFRASTRUCTURE AND ELECTRONIC TRADING EVOLUTION IN AMERICAN TREASURY MARKETS. INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING AND TECHNOLOGY, 16(01), 2985-2998. https://doi.org/10.34218/IJCET_16_01_209