The research samples were ANTM, BBRI, and GIAA stocks from Novemto November 9, 2018.The results show a combination of Stochastic Oscillator and WMA is a better combination of predictions than Stochastic Oscillator and SMA because it has a smaller MSE value. This makes the basis of weighting the WMA (Weighted Moving Average) method.This study aims to test the combination of Stochastic Oscillator with SMA and WMA and use the best combination to predict the trends that will occur and trading decisions taken from the results of these predictions. But SMA has the disadvantage of giving the same weight to all data, even though in reality the data that best reflects the next value is the last data. Stochastic Oscillator is usually combined with SMA (Simple Moving Average). To minimize false signals, the smoothing process is carried out using the Moving Average. The Stochastic Oscillator which is one of the leading indicators has the disadvantage of opening the gap for false signals.
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