Analyse The Stock Movement Trend Using Candlesticks Chart ‎and The Risk & Volatility Associated - Selected Large-Cap ‎Stocks in The IT Sector

  • Authors

    • Paranichandran D Research Scholar, Faculty of Management, SRM Institute of Science and Technology, Kattankulathur- 603203, Tamil Nadu, India
    • Dr. M Ilankadhir Assistant Professor, Faculty of Management, SRM Institute of Science and Technology, Kattankulathur- 603203, Tamil Nadu, India
    https://doi.org/10.14419/kb7hc269

    Received date: November 14, 2025

    Accepted date: November 22, 2025

    Published date: December 3, 2025

  • Trend Prediction; NSE; Nifty IT; Candlestick Chart; Beta; Standard Deviation
  • Abstract

    This study investigates the prediction of stock movement trends, risk, and volatility associated with large-cap IT sector stocks on the Na-‎National Stock Exchange (NSE) using candlestick charts. By focusing on the top five companies in the Nifty IT index—Infosys Ltd, Tata ‎Consultancy Services, Tech Mahindra Ltd, HCL Technologies Ltd, and Wipro Ltd—this research aims to provide a comprehensive analysis ‎of market behaviour over two years (April 2022 to March 2024). Utilising technical analysis, the study examines beta coefficients to measure volatility and sensitivity to market changes, as well as standard deviation to assess risk. Findings indicate that these stocks exhibit moderate volatility and are generally less risky investments. The study also highlights the significance of support & resistance and the Relative ‎Strength Index(RSI) levels in predicting market trends and provides strategic insights for investors. Despite a small sample size, the ‎search offers valuable insights into stock performance in the IT sector, paving the way for further studies with larger samples and comparative analyses. The results suggest that informed technical analysis can enhance investment decisions in the volatile financial market, emphasizing the importance of remaining attuned to market dynamics and leveraging technical tools for high accuracy in price prediction and profitability‎.

  • References

    1. Nti, I. K., Adekoya, A. F., & Weyori, B. A. (2019). A systematic review of fundamental and technical analysis of stock market predictions. Artifi-cial Intelligence Review, 53(4), 3007–3057. https://doi.org/10.1007/s10462-019-09754-z.
    2. D., Paranichandran and Jucunda, Dr. Maria, The War between Russia and Ukraine and Its Effects on the Indian Stock Market (February 16, 2024). Paranichandran D & Jucunda M E (2024), The War between Russia and Ukraine and Its effects on Indian Stock Market, International Journal of Advanced Research in Science, Communication and Technology (IJARSCT), Volume 4, Issue 2, 275 - 282. , Available at SSRN: https://ssrn.com/abstract=4728589. https://doi.org/10.48175/IJARSCT-15436.
    3. Prado, H. a. D., Ferneda, E., Morais, L. C., Luiz, A. J., & Matsura, E. (2013b). On the Effectiveness of Candlestick Chart Analysis for the Brazilian Stock Market. Procedia Computer Science, 22, 1136–1145. https://doi.org/10.1016/j.procs.2013.09.200.
    4. Nasution, M. S., Ulfah, A. K., Nadilla, T., Razali, R., Kamal, H., & Supriyanto, S. (2021). The Effect of Beta, and Residual Income on Stock Re-turn in The Manufacturing Industry in The Indonesia Stock Exchange. Enrichment: Journal of Management, 11(2), 555-558.
    5. Manoharan M, & Dr Rajesh Mamilla*. (2020). THE PROFITABILITY OF BULLISH REVERSAL CANDLESTICK PATTERNS A STUDY ON SELECT INDIAN NIFTY50 INDEX STOCKS. International Journal of Management (IJM), 11(6), 1623–1631.
    6. A Rishi Prashath, V Prabakaran, & Y Alexander. (2023). ANALYSIS ON DEPENDABILITY OF CANDLESTICKPATTERNS OF SELECTED STOCKS IN THE INDIANSTOCK MARKET. Shodha Prabha (UGC Care Journal), 48(0974–8946), 85–94.
    7. Samuel Tabot Enow. (2023). Investigating the Merits of Support and Resistance Strategy: Evidence from International Financial Markets. Journal of Economic and Social Development (JESD), 10(2).
    8. Penev, S. I., Shevchenko, P. V., & Wu, W. (2019). The impact of model risk on dynamic portfolio selection under multi-period mean-standard-deviation criterion. European Journal of Operational Research, 273(2), 772–784. https://doi.org/10.1016/j.ejor.2018.08.026.
    9. Rockafellar, R. Tyrrell and Uryasev, Stanislav P. and Zabarankin, Michael, Portfolio Analysis with General Deviation Measures (June 3, 2003). U of Florida, Industrial and Systems Engineering Research Report No. 2003-8. https://doi.org/10.2139/ssrn.414268.
    10. R.Chitra. (2011). Technical Analysis on Selected Stocks of Energy Sector. InternatIonal Journal of ManageMent & BusIness studIes, 1(1), 42–46.
    11. Yeong-Jia Goo, Dar- Hsin Chen, & Yi- Wei Chang. (2007). The application of japanese candlestick trading strategies in TAIWAN. Investment Management and Financial Innovations, 4(4).
    12. Cohen, G. (2023). Technical analysis in investing. Review of Pacific Basin Financial Markets and Policies, 26(02), 2350013. https://doi.org/10.1142/S0219091523500133.
    13. Tsinaslanidis, P. (2024). Testing Horizontal Support and Resistance Zones on Cryptocurrencies. In: Tsounis, N., Vlachvei, A. (eds) Applied Eco-nomic Research and Trends. ICOAE 2023. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-49105-4_62.
    14. P.Venkatesh, Krishna Sudheer, & Senthilmurugan Paramasivan. (2021). A STUDY ON TECHNICAL ANALYSIS USING CANDLESTICK-PATTERN OF SELECTED LARGE CAP STOCKS LISTED INNATIONAL STOCK EXCHANGE (NSE), INDIA WITH REFERENCETO STEEL SECTOR (1) (PDF) A Study on Technical Analysis Using Candlestick Pattern of Selected Large Cap Stocks Listed in National Stock Ex-change (NSE), India with Reference to Steel Sector.
    15. Anggono, A. H. (2019). Investment strategy based on exponential Moving Average and count back line. Review of Integrative Business and Eco-nomics Research, 8, 153-161.
    16. Ţiţan, A. G. (2015). The efficient market hypothesis: Review of specialized literature and empirical research. Procedia Economics and Finance, 32, 442-449. https://doi.org/10.1016/S2212-5671(15)01416-1.
    17. Scalamonti, F. (2025). The Weak Form Efficient Markets Hypothesis: Macroeconomic Evidence from MEDA Capital Markets. Available at SSRN 5078907. https://doi.org/10.3934/QFE.2025022.
    18. Mikołajek-Gocejna, M., & Urbaś, T. (2023). Rational Investors or Rational Expectations in Efficient Market Hypothesis? International Journal of Finance, Insurance and Risk Management, 13(2), 167-188. https://doi.org/10.35808/ijfirm/360.
    19. Resen, A. F. (2022). The Reality of the Relationship between the Return and the Standard Deviation as a Risk. Iconic Research And Engineering Journals, 6(6), 170-181.
    20. Zatwarnicki, M., Zatwarnicki, K., & Stolarski, P. (2023). Effectiveness of the relative strength index signals in timing the cryptocurrency market. Sensors, 23(3), 1664. https://doi.org/10.3390/s23031664.
    21. Gurrib, I., & Kamalov, F. (2019). The implementation of an adjusted relative strength index model in foreign currency and energy markets of emerging and developed economies. Macroeconomics and Finance in Emerging Market Economies, 12(2), 105-123. https://doi.org/10.1080/17520843.2019.1574852.
    22. Rink, K. (2023). The predictive ability of technical trading rules: an empirical analysis of developed and emerging equity markets. Financial Mar-kets and Portfolio Management, 37(4), 403-456. https://doi.org/10.1007/s11408-023-00433-2.
    23. Resta, M., Pagnottoni, P., & De Giuli, M. E. (2020). Technical analysis on the bitcoin market: trading opportunities or investors’ pitfall?. Risks, 8(2), 44. https://doi.org/10.3390/risks8020044.
    24. Haanurat, A. I., Jaya, A., & Hariyanto, M. (2025). Effectiveness of Using Candlestick Charts in Stock Investment: Evidence from Indonesia in the New Normal Era. Review of Integrative Business and Economics Research, 15(1), 754-766.
    25. Mersal, E. R., & Kutucu, H. (2024). Techniques used to extract features from candlestick charts in the stock market a systematic review. Current Trends in Computing, 1(2), 104-121.
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  • How to Cite

    D, P., & Ilankadhir , D. M. . (2025). Analyse The Stock Movement Trend Using Candlesticks Chart ‎and The Risk & Volatility Associated - Selected Large-Cap ‎Stocks in The IT Sector. International Journal of Accounting and Economics Studies, 12(8), 50-56. https://doi.org/10.14419/kb7hc269