2020-04-29 10:35:22 +00:00
|
|
|
## Predict stock with LSTM
|
2020-04-29 09:33:44 +00:00
|
|
|
|
2020-04-29 10:35:22 +00:00
|
|
|
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:
|
|
|
|
|
|
|
|

|
|
|
|
|
|
|
|

|