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This paper intends to apply the Hidden Markov Model into stock market and andmake predictions. Moreover, four different methods of improvement, which areGMM-HMM, XGB-HMM, GMM-HMM+LSTM and XGB-HMM+LSTM, will be discussed later withthe results of experiment respectively. After that we will analyze the pros andcons of different models. And finally, one of the best will be used into stockmarket for timing strategy.

Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory