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This paper presents a stock futures prediction strategy by using a hybrid method to forecast the price trends of the futures which is essential for investment decisions. In order to deal with huge amounts of futures data, our strategy consists of two main parts: I. Raw Data Treatment and Features Extraction, and II. DT-SVM Hybrid Model Training. In this paper, we employ real-world transaction data...
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