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Stock price forecasting is considered a challenging task because of the various characteristics of financial time series. In this study, we attempt to predict stock prices using data mining techniques in an emerging market. The study uses decision tree model, CRISP‐DM (Cross‐Industry Standard Process for data mining) for analysis by employing WEKA software. The study sample consists of ten firms of...