# stock_predict_with_LSTM

**Repository Path**: acting_chen/stock_predict_with_LSTM

## Basic Information

- **Project Name**: stock_predict_with_LSTM
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-06-14
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

## 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)