Chunho Cho, Guan-Yi Lee, Yueh-Lin Tsai, Kun-Chan Lan
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引用次数: 11
Abstract
Three methods including LSTM, Seq2seq and WaveNet are implemented in this study. We compare the performance of different deep learning methods in predicting stock prices. We use the correlation between the predicted price and the actual price as the performance metric to evaluate the effectiveness of these methods.
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