A Hybrid Prediction Method for Stock Price Using LSTM and Ensemble EMD
The stock market is a chaotic, complex, and dynamic financial market. The prediction of future stock prices is a concern and controversial research issue for researchers. More and more analysis and prediction methods are proposed by researchers. We proposed a hybrid method for the prediction of futu...
Saved in:
Main Authors: | Yang Yujun, Yang Yimei, Xiao Jianhua |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/6431712 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Forecasting the Stock Price of PT Astra International Using the LSTM Method
by: Edwin Setiawan Nugraha, et al.
Published: (2024-06-01) -
Enhancing Stock Price Forecasting Accuracy Using LSTM and Bi-LSTM Models
by: Wang Hao
Published: (2025-01-01) -
A Novel Hybrid GCN-LSTM Algorithm for Energy Stock Price Prediction: Leveraging Temporal Dynamics and Inter-Stock Relationships
by: Babak Amiri, et al.
Published: (2025-01-01) -
Research on Annual Runoff Prediction Based on EMD-LSTM-ANFIS Model
by: HU Shunqiang, et al.
Published: (2021-01-01) -
A Prediction Model of Relativistic Electrons at Geostationary Orbit Using the EMD‐LSTM Network and Geomagnetic Indices
by: H. Zhang, et al.
Published: (2022-10-01)