IJRTI
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 118

Article Submitted : 21686

Article Published : 8549

Total Authors : 22487

Total Reviewer : 811

Total Countries : 159

Indexing Partner

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: A Study On Technical Analysis To Predict The Price Movement Of The Selected Stocks Listed In NSE
Authors Name: Ms. Lavanya S
Download E-Certificate: Download
Author Reg. ID:
IJRTI_203442
Published Paper Id: IJRTI2505051
Published In: Volume 10 Issue 5, May-2025
DOI:
Abstract: This study examines the effectiveness of technical analysis in predicting stock price movements of NSE-listed companies such as HDFC Bank. It focuses on technical indicators like RSI, ROC, EMA, and Bollinger Bands to identify trends, momentum, and reversal points. Using historical price data, the research highlights how these tools help determine optimal entry and exit points. The study aims to minimize emotional bias in trading by promoting informed, data-driven decisions. It follows an analytical approach using secondary data and quantitative methods. The findings shows the value of technical analysis in shaping investor strategies in India’s dynamic stock market.
Keywords: NSE-listed Companies , RSI (Relative Strength Index), ROC (Rate of Change), EMA (Exponential Moving Average), Bollinger Bands , Entry and Exit Points , Historical Price Data.
Cite Article: "A Study On Technical Analysis To Predict The Price Movement Of The Selected Stocks Listed In NSE", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.a489-a496, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505051.pdf
Downloads: 000495
ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2505051
Registration ID:203442
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: a489-a496
Country: Chennai, Tamilnadu, India
Research Area: Management
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505051
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505051
Share Article:

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI.ONE
How to Get DOI?

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Join RMS/Earn 300

IJRTI

WhatsApp
Click Here

Indexing Partner