Live STOCK PRICE PREDICTION USING LSTM

Registration ID: IJNRD_193430

Published ID: IJNRD2305203

DOI: Click Here to Get

Aditya Raj Gupta , Anupam Joshi , Agraj Sharma , Sandeep Kumar

Live stock price prediction, LSTM, Recurrent Neural Network, Time-series data, Stock market forecasting, Real-time datal, Historical stock prices, Trading volume, News sentiment, Technical indicators, Mean Absolute Error, MAE, Root Mean Squared Error, RMSE, Financial forecasting, Investment, Machine learning , Deep learning.

The economy's most important component continues to be the stock market, and investors still have a great deal of difficulty in properly forecasting stock values. Simple models fall short of generating accurate forecasts, making it difficult for investors in the financial markets to make well-informed choices. Deep learning, a subfield of artificial intelligence that enables computers to carry out activities requiring human intellect, has gained impetus in scientific study as a result of the quick development of technology. This article suggests leveraging real-time data and deep learning techniques like recurrent neural networks (RNN) and long short-term memories (LSTM) to create a precise and accurate stock price prediction model. The suggested model will anticipate future stock prices using real-time data, past stock prices, and other pertinent variables. Prediction accuracy is anticipated to increase using LSTM, a form of RNN that can represent long-term relationships in time-series data. The suggested model will continually learn and adjust to fresh market tendencies, guaranteeing that it offers accurate and current forecasts. In conclusion, this paper tries to increase the accuracy of stock price prediction by utilising deep learning methods and real-time data. Investors in the financial markets may find value in the suggested model's insights, which will allow them to make wise investment choices in real time.

Published Paper   E-Certificate

Aditya Raj Gupta, Anupam Joshi, Agraj Sharma, & Sandeep Kumar (May-2023). Live STOCK PRICE PREDICTION USING LSTM. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), c15-c20. https://ijnrd.org/papers/IJNRD2305203.pdf

Volume 8 Issue 5, May-2023

Pages : c15-c20

Paper Reg. ID: IJNRD_193430

Published Paper Id: IJNRD2305203

Downloads: 000121985

Research Area: Computer Science & Technology 

Country: GREATER NOIDA, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305203.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305203

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.

How to submit the paper?

By Our website

Click Here to Submit Paper Online

By Mail

Send your paper to editor@ijnrd.org

Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details