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 6
November-December 2024
Indexing Partners
AI-Powered Stock Market Analysis with LSTM
Author(s) | Shailaja Rautrao, Tejas Raut, Chaitanya Naik, Aniket Mishra, Anuja Chincholkar |
---|---|
Country | India |
Abstract | This paper uses LSTM networks for stock price prediction with Yahoo Finance data, showing its effectiveness in capturing market patterns. An interactive web app is developed for visualizing predictions, aiding investment decisions. |
Keywords | Long Short-Term Memory(LSTM), Machine Learning, Predective Modelling,Data Preprocessing, Investment Strategy |
Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
Published In | Volume 6, Issue 6, November-December 2024 |
Published On | 2024-11-19 |
Cite This | AI-Powered Stock Market Analysis with LSTM - Shailaja Rautrao, Tejas Raut, Chaitanya Naik, Aniket Mishra, Anuja Chincholkar - IJFMR Volume 6, Issue 6, November-December 2024. |
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.