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News Driving Stock trend predict based on DA-RNN

This project is used for predicting the trend of stock based on the news.

temporary link

test_RNN_for_stock_series

Content

Deployment

pytorch
gensim
nltk
pandas
numpy

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Output

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Optimization

Reference

1."A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction" by Yao Qin, Dongjin Song, Haifeng Cheng, Wei Cheng, Guofei Jiang, Garrison W. Cottrell.
2."Hybrid Deep Sequential Modeling for Social Text-Driven Stock Prediction"by Huizhe Wu, Wei Zhang, Weiwei Shen, Jun Wang.
3."Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction" by Ziniu Hu, Weiqing Liu, Jiang Bian, Xuanzhe Liu, Tie-Yan Liu.

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