期刊名称：International Journal of Early Childhood Special Education
电子版ISSN：1308-5581
出版年度：2022
卷号：14
期号：5
页码：4053-4058
DOI：10.9756/INTJECSE/V14I5.466
语种：English
出版社：International Journal of Early Childhood Special Education
摘要：The fundamental goal of this study is to evaluate the evidence ,understand, and explore technical analysis approaches. If we were using an expert system and execute an exponential moving average on energy stocks over a certain time frame, our portfolio shallout perform passive strategies and nifty index returns (benchmark). EMA might optimize trading psychology of professionals, it may give positive momentum of energy stock prices. Design/Methodologies/Approach: In this paper, apply technical analysis for selecting energy stocks (NSE), further apply technical analysis system trading for optimize momentum trading. The empirical analysis includes back-testing (EMA) of the chosen portfolio from Jan 2016 toJan2022 with the help of Ami-brokers oftware, and compare with passive strategy. Originality&Value: This paper validates EMA trading strategy on energy stocks (NSE). It is written primarily for those financial enthusiasts who want to take advantage of technical analysis momentum strategy over passive strategy in a short to medium time frame. Results & Practical Implication: Momentum strategy andTechnic alanalys is on three selected energy stocks i.e. RIL, NTPC PGC, achieve significant high returns over passive strategy and Nifty index return(Benchmark)during the selected time frame. The successful empirical analysis of "momentum strategy" on energy stocks shall encourage the practitioners and academicians of Financial markets to research and explore new areas, strategy and indicators to explore further with new untapped dimensions.
关键词：Technical Analysis;Exponential moving average (EMA);Indicators;Back-test;Nifty Index;Portfolio;Expert system
