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This paper contributes a new machine learning solution for stock movement prediction, which aims to predict whether the price of a stock will be up or down in the near future.
Long short-term memory
S. Hochreiter and J. Schmidhuber · 1997
Earlier work this paper cites.
A random walk down wall street
G. Musgrave · 1997
Earlier work this paper cites.
An empirical analysis of data requirements for financial forecasting with neural networks
S. Walczak · 2001
Earlier work this paper cites.
Are loss functions all the same?
L. Rosasco, E. D. Vito, A. Caponnetto, M. Piana, and A. Verri · 2004
Earlier work this paper cites.
Forecasting stock market movement direction with support vector machine
W. Huang, Y. Nakamori, and S. Wang · 2005
Earlier work this paper cites.
Technical analysis of stock trends
R. Edwards, J. Magee, and C. Bassetti · 2007
Earlier work this paper cites.
Size, value, and momentum in international stock returns
E. F. Fama and K. R. French · 2012
Earlier work this paper cites.
Speech recognition with deep recurrent neural networks
A. Graves, A. Mohamed, and G. Hinton · 2013
Earlier work this paper cites.
Intriguing properties of neural networks
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, and R. Fergus · 2013
Earlier work this paper cites.
Comparison of arima and artificial neural networks models for stock price prediction
A. Adebiyi, A. Adewumi, and C. Ayo · 2014
Earlier work this paper cites.
Learning phrase representations using rnn encoder–decoder for statistical machine translation
K. Cho, M. Van, C. Gulcehre, et al · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
K. Diederik and B. Jimmy · 2015
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Explaining and harnessing adversarial examples
I. Goodfellow, J. Shlens, and C. Szegedy · 2015
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Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies
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Web media and stock markets: A survey and future directions from a big data perspective
Q. Li, Y. Chen, J. Wang, Y. Chen, and H. Chen · 2018
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