Before the internet, high-speed laptop computers, and big data became accessible and popular, academia on stock market trading concentrated on Efficient Market Hypothesis (EMH). EMH hinges on the idea that the market is efficient and there is no extra return that could be generated. With the dynamic development of the internet, big-data and computing technology, many researchers started to pay attention to Technical Analysis and its usage. Numerous academic papers claimed that technical analysis can enhance returns by using various technical tools. This paper explores in-depth the simulation model of Moving Average and Moving Average Convergence/Divergence (MACD) to come up with optimized parameters that will allow traders to profit from trading Dow Jones Industrial Index and Hang Seng Index.
Yeung, Anthony; Chung, Joe Wailun; Lohia, Nibhrat; and Emmanuel, Onyeka
"Profiting from Dow Jones Industrial Index and Hang Seng Index using moving average and MACD optimization model,"
SMU Data Science Review: Vol. 7:
1, Article 6.
Available at: https://scholar.smu.edu/datasciencereview/vol7/iss1/6
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