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Temporal Relational Ranking for Stock Prediction. (arXiv:1809.09441v1 [cs.CE])

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Stock prediction aims to predict the future trends of a stock in order to help investors to make good investment decisions. Traditional solutions for stock prediction are based on time-series models. With the recent success of deep neural networks in modeling sequential data, deep learning has become a promising choice for stock prediction.

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