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Technical analysis is a method to forecast market price quickly. It has a paradigm which stated that history repeats itself. According to technical analysis theory, historical data is an important variable to predict the future. The previous variables that used to calculate are open, high, low, and close price. There are many technical ways to analyze and predict trends using one kind of pair. This paper proposes approach that provides predictions and analyses by comparing multiple pairs to give strength measurement using their correlations. The Decision Support Systems correlate the calculation result from Moving Average, Relative Strength Index, Parabolic Stop and Reverse, and William %Range. It resulted the trend strength that can be used to ensure the power and validity of a trend being, so the trend prediction is more accurate. In the research period of 78 weekdays the signal appeared 7 times, in which 4 of 7 signals are valid. All of false signal occurred when the predicted trend's strength is less than 50%.
Putra et al. (Sat,) studied this question.