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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
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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