High-Frequency Trading Using Machine Learning:  A Comprehensive Analysis

Author(s)	Sarthak Jalindar Sarjine, Harshali Patil, Jyotshna Dongardive
Country	India
Abstract	This research paper delves into the intersection of High-Frequency Trading (HFT) and Machine Learning (ML), exploring the significant impact of ML techniques on enhancing the efficiency, accuracy, and profitability of HFT strategies. The paper presents an in-depth examination of the principles, challenges, and opportunities associated with HFT and ML integration. It also discusses various ML approaches applied in HFT, their advantages, limitations, and potential future developments. Through an extensive review of literature and case studies, this paper aims to provide a comprehensive overview of the evolving landscape of HFT driven by ML advancements.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 6, Issue 1, January-February 2024
Published On	2024-01-04
Cite This	High-Frequency Trading Using Machine Learning: A Comprehensive Analysis - Sarthak Jalindar Sarjine, Harshali Patil, Jyotshna Dongardive - IJFMR Volume 6, Issue 1, January-February 2024. DOI 10.36948/ijfmr.2024.v06i01.11616
DOI	https://doi.org/10.36948/ijfmr.2024.v06i01.11616
Short DOI	https://doi.org/gtdscg

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