ISSN: 2222-6990
Open access
The stock market is a popular investment tool due to its risk and profit potential. Technical analysis (TA) is often overlooked by academicians, especially in Malaysia. Technical indicators help identify current and future price trends, but each has its limitations. Combining indicators for different situations can improve trading performance. This study aims to provide a balanced multi-technical indicator strategy for short-term price trend prediction. The model considers factors like trend, volatility, momentum, volume, and market sentiment, overcoming the limitations of individual indicators. The research framework uses multiple regression analysis to determine the predictive power of indicators and their combinations. The four-factor model achieves a balance between complexity and predictive accuracy. The techniques used resulted in a profit ROI (Return on Investment) of 87.45% within six months, demonstrating the efficiency of trading tactics.
Ahmar, A. S. (2017). Sutte Indicator: A technical indicator in stock market. International Journal of Economics and Financial Issues, 7, 223–226.
Ahmed, P., Beck, K., & Goldreyer, E. (2000). Can Moving Average Technical Trading Strategies Help in Volatile and Declining Markets? A Study of Some Emerging Asian Markets. Managerial Finance, 26(6), 49-62.
Aschakulporn, P., & Zhang, J. E. (2021). Bakshi, Kapadia, and Madan (2003) risk?neutral moment estimators: An affine jump?diffusion approach. Journal of Futures Markets, 42(3), 365–388.
Bakshi, G., & Kapadia, N. (2003). Volatility risk premiums embedded in individual equity options. The Journal of Derivatives, 11(1), 45–54.
Chen, J. (2020). “Chicago Board Options Exchange (CBOE) VIX of VIX (VVIX) Definition.” Investopedia, Investopedia. Retrieved from:
www.investopedia.com/terms/c/chicago-board-options-exchange-cboe-vix-vix-vvix.asp.
Crombez, J. (2001). "Momentum, Rational Agents and Efficient Markets." The Journal of Psychology and Financial Markets, 2.
Knapp, S. P. V. (2008): Sensible stock investing: How to pick, value and manage stocks, iUniverse.
Kumar, R. (2014): How technical and fundamental analysis can help your trading decisions, RKSV.
Lin Chen. (1996). Stochastic Mean and Stochastic Volatility – A Three-Factor Model of the Term Structure of Interest Rates and Its Application to the Pricing of Interest Rate Derivatives. Blackwell Publishers.
Mitchell, C. (2021). Keltner Channel Definition.
Sacchitello, M. (2021). Best Trading Platforms for Beginners.
Petrusheva, N., & Jordanoski, I. (2016). Comparative analysis between the fundamental and technical analysis of stocks. Journal of Process Management. New Technologies, 4(2), 26–31.
Fisal, S. (2017), Predicting Stock Price Movements Using Technical Analysis, Proceeding of the 4th International Conference on Management and Muamalah 2017 (ICoMM 2017) e-ISBN: 978-967-2122-15-9.
Suresh, A. S. (2013). A study on fundamental and technical analysis. International Journal of Marketing, Financial Services & Management Research, 2, 44–59.
TD Ameritrade Institutional. (2021). FINANCIAL PLANNING REVIEW, 3(1).
Land, G. (2015). The Bloomsbury Encyclopedia of the American Enlightenment. https://doi.org/10.5040/9781501312052-0140
Todd, R. J. (2021). From Net Surfers to Net Seekers: The WWW, Critical Literacies and Learning Outcomes. IASL Annual Conference Proceedings, 231–242. https://doi.org/10.29173/iasl8173
Turner T. (2007). A Beginner’s Guide to Day Trading Online. Adams Media, 2nd edition, 2007.
Tsinaslanidis, P. E., & Zapranis, A. D. (2015). Technical analysis. Technical Analysis for Algorithmic Pattern Recognition, 1–28.
Uyan?k, G. K., & Güler, N. (2013). A Study on Multiple Linear Regression Analysis. Procedia - Social and Behavioral Sciences, 106, 234–240.
https://doi.org/10.1016/j.sbspro.2013.12.027
(Pheng et al., 2024)
Pheng, L. G., Chuan, T. C., Leong, F. W., & Hakimi, H. (2024). Optimizing Stock Trend Prediction with a Comprehensive Multi-Technical Indicator Strategy. International Journal of Academic Research in Business and Social Sciences, 14(3), 999–1022.
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