Paper Title

Stock Price Visualizing and Forecasting

Article Identifiers

Registration ID: IJNRD_189236

Published ID: IJNRD2303295

DOI: Click Here to Get

Authors

M JOTHIKA SUMALI , M VANDANA , M UMA SHANKARI , NALLAPARAJU B N VENKATA PRABHAVATHI DEVI , Prof. B PRAJNA

Keywords

Stock price, yfinance, Machine learning, forecasting, prediction, visualizing, Dash framework python.

Abstract

The stock market offers one of the biggest returns on the market, but it is exceedingly difficult to predict stock prices because there are no set guidelines for doing so. Although they are volatile in nature, share prices and other statistical factors may be seen, which aids savvy investors in carefully selecting the company they wish to put their profits in. We may create dynamic graphs of financial data for a particular company using tabular data provided by the yfinance Python module by using this straightforward project idea. In addition, we can forecast future stock prices using a machine learning system. The project is a wonderful introduction to Python/data science for newcomers and an useful refresher for experts who have experimented with Python/ML in the past.

How To Cite

"Stock Price Visualizing and Forecasting", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 3, page no.c836-c842, March-2023, Available :https://ijnrd.org/papers/IJNRD2303295.pdf

Issue

Volume 8 Issue 3, March-2023

Pages : c836-c842

Other Publication Details

Paper Reg. ID: IJNRD_189236

Published Paper Id: IJNRD2303295

Downloads: 000121116

Research Area: Computer Science & Technology 

Country: visakhapatnam, andhra pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2303295.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2303295

About Publisher

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

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Call For Paper

Call For Paper - Volume 10 | Issue 7 | July 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Important Dates for Current issue

Paper Submission Open For: July 2025

Current Issue: Volume 10 | Issue 7

Last Date for Paper Submission: Till 31-Jul-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: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area