stock_predict_with_LSTM-master
所属分类：数值算法/人工智能
开发工具：Python
文件大小：537KB
下载次数：11
上传日期：2020-12-02 10:31:21
上 传 者：
houzilail
说明： 用于时间序列分析的，股票预测实例，使用LSTM算法，预测效果较好
(The LSTM algorithm is used in the case of stock forecasting for time series analysis)
文件列表:
LICENSE (11357, 2020-08-09)
data (0, 2020-08-09)
data\stock_data.csv (510330, 2020-08-09)
figure (0, 2020-08-09)
figure\continue_predict_high_with_pytorch.png (45110, 2020-08-09)
figure\continue_predict_low_with_pytorch.png (46060, 2020-08-09)
figure\predict_high_with_keras.png (43653, 2020-08-09)
figure\predict_high_with_pytorch.png (39864, 2020-08-09)
figure\predict_high_with_tensorflow.png (46294, 2020-08-09)
figure\predict_low_with_keras.png (44056, 2020-08-09)
figure\predict_low_with_pytorch.png (40615, 2020-08-09)
figure\predict_low_with_tensorflow.png (48041, 2020-08-09)
main.py (14338, 2020-08-09)
model (0, 2020-08-09)
model\__init__.py (0, 2020-08-09)
model\model_keras.py (2174, 2020-08-09)
model\model_pytorch.py (6804, 2020-08-09)
model\model_tensorflow.py (5574, 2020-08-09)
requirements.txt (125, 2020-08-09)
## 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 :
The simultaneous predict results for stock high and low price with pytorch show as follow:
近期下载者：
相关文件：
收藏者：