## 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
- Support train visualization and log record
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)
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stock_predict_with_LSTM-master.zip_Python__Python_
共18个文件
png:8个
py:5个
gitignore:1个
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stock_predict_with_LSTM-master.zip (18个子文件)
stock_predict_with_LSTM-master
main.py 14KB
data
stock_data.csv 498KB
model
model_tensorflow.py 5KB
model_keras.py 2KB
__init__.py 0B
model_pytorch.py 7KB
Readme.md 960B
LICENSE 11KB
requirements.txt 125B
.gitignore 57B
figure
continue_predict_low_with_pytorch.png 45KB
predict_high_with_keras.png 43KB
predict_high_with_tensorflow.png 45KB
predict_low_with_keras.png 43KB
continue_predict_high_with_pytorch.png 44KB
predict_low_with_tensorflow.png 47KB
predict_high_with_pytorch.png 39KB
predict_low_with_pytorch.png 40KB
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