International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
•
Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Reviewer Referral Program
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
WSMCDD-2025
GSMCDD-2025
Conferences Published ↓
RBS:RH-COVID-19 (2023)
ICMRS'23
PIPRDA-2023
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 6 Issue 5
September-October 2024
Indexing Partners
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 |
Share this
E-ISSN 2582-2160
doi
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.