Forecasting Variation Trends of Stocks via Multiscale Feature Fusion and Long Short-Term Memory Learning
Forecasting stock price trends accurately appears a huge challenge because the environment of stock markets is extremely stochastic and complicated. This challenge persistently motivates us to seek reliable pathways to guide stock trading. While the Long Short-Term Memory (LSTM) network has the dedi...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2021-01-01
|
| Series: | Scientific Programming |
| Online Access: | http://dx.doi.org/10.1155/2021/5113151 |