Investors in the capital market are looking for a way to predict stock prices for more profit. One of these methods is a technical analysis. The aim of this research is to compare the efficiency of technical analysis indicators in the period of boom and depression in mo More
Investors in the capital market are looking for a way to predict stock prices for more profit. One of these methods is a technical analysis. The aim of this research is to compare the efficiency of technical analysis indicators in the period of boom and depression in more active manufacturing companies. In this reserch, the capital market period of boom and depression was estimated by Non-linear Markov regime-change approach. Time (rang) has been identified in the capital market 2013/4/1 to 2014/10/1 the boom period and 2014/10/1 to 2015/10/1 Period of depression. By using filters, a sample of 11 active firms was selected and identification the buying and selling signals of shares by using indicators in the software environment, an independent t-test was used to compare the indicators. The results of the research show The average returns from the relative strength index during the period of recession with other indicators in the capital market boom period is not significantly different But there is a significant difference between the average returns of moving average, average and moving average of convergence-divergence of period the period of boom and depression.
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