Algorithmic Trading in Forex Markets: The Impact of AI-Driven Strategies on Liquidity and Market Efficiency

This comprehensive article examines the transformative impact of artificial intelligence and machine learning technologies on the foreign exchange market. The article explores how AI-driven systems have revolutionized trading strategies, order execution mechanisms, and liquidity provision in forex markets. The article encompasses the evolution of market microstructure, the emergence of non-bank liquidity providers, and the challenges posed by market fragmentation. The article explores the application of advanced technologies including deep neural networks, natural language processing, and reinforcement learning in forex trading, while also addressing the regulatory considerations and risk management protocols that have evolved alongside these technological advancements. Furthermore, the article evaluates the implications of these developments for market efficiency, price discovery, and systemic stability, providing insights into the future trajectory of forex markets as quantum computing and advanced AI integration continue to reshape the trading landscape.

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Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2025-02-10
DOI
https://doi.org/10.32628/cseit251112222
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
0.00
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article

Algorithmic Trading in Forex Markets: The Impact of AI-Driven Strategies on Liquidity and Market Efficiency

Ganesh Marimuthu
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Financial Markets and Investment Strategies
article

Algorithmic Trading in Forex Markets: The Impact of AI-Driven Strategies on Liquidity and Market Efficiency

Ganesh Marimuthu
article en

Abstract

This comprehensive article examines the transformative impact of artificial intelligence and machine learning technologies on the foreign exchange market. The article explores how AI-driven systems have revolutionized trading strategies, order execution mechanisms, and liquidity provision in forex markets. The article encompasses the evolution of market microstructure, the emergence of non-bank liquidity providers, and the challenges posed by market fragmentation. The article explores the application of advanced technologies including deep neural networks, natural language processing, and reinforcement learning in forex trading, while also addressing the regulatory considerations and risk management protocols that have evolved alongside these technological advancements. Furthermore, the article evaluates the implications of these developments for market efficiency, price discovery, and systemic stability, providing insights into the future trajectory of forex markets as quantum computing and advanced AI integration continue to reshape the trading landscape.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 11(1)
United States Securities and Exchange Commission (US), China Institute of Finance and Capital Markets (CN)
Openalex Percentile: Top 96%
Financial Markets and Investment Strategies
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