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# yao-optimizer
## Predict stock with LSTM
This project includes training and predicting processes with LSTM for stock data. The characteristics is as fellow:
- Concise and modular
- Support three mainstream deep learning frameworks of pytorch, keras and tensorflow
- Parameters, models and frameworks can be highly customized and modified
- Supports incremental training
- Support predicting multiple indicators at the same time
- Support predicting any number of days in the future
Chinese introduction can refer to : <https://blog.csdn.net/songyunli1111/article/details/78513811>
The simultaneous predict results for stock high and low price with pytorch show as follow:
![predict_high_with_pytorch](https://github.com/hichenway/stock_predict_with_LSTM/blob/master/figure/predict_high_with_pytorch.png)
![predict_low_with_pytorch](https://github.com/hichenway/stock_predict_with_LSTM/blob/master/figure/predict_low_with_pytorch.png)