A LSTM-based method for stock returns prediction: A case study of China stock market
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Kai Chen | Yi Zhou | Fangyan Dai | Yi Zhou | Kai Chen | Fangyan Dai
[1] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[2] J. Agrawal,et al. State-of-the-Art in Stock Prediction Techniques , 2013 .
[3] RatherAkhter Mohiuddin,et al. Recurrent neural network and a hybrid model for prediction of stock returns , 2015 .
[4] Akash Dwivedi,et al. International Journal of Advanced Research in Electrical , Electronics and Instrumentation Engineering , 2017 .
[5] Bruce J. Vanstone,et al. Financial time series forecasting with machine learning techniques: a survey , 2010, ESANN.
[6] Hsinchun Chen,et al. Textual analysis of stock market prediction using breaking financial news: The AZFin text system , 2009, TOIS.
[7] Zachary Chase Lipton. A Critical Review of Recurrent Neural Networks for Sequence Learning , 2015, ArXiv.
[8] Arun Agarwal,et al. Recurrent neural network and a hybrid model for prediction of stock returns , 2015, Expert Syst. Appl..
[9] Johan Bollen,et al. Twitter mood predicts the stock market , 2010, J. Comput. Sci..