LSTM–Transformer-Based Robust Hybrid Deep Learning Model for Financial Time Series Forecasting
The inherent challenges of financial time series forecasting demand advanced modeling techniques for reliable predictions. Effective financial time series forecasting is crucial for financial risk management and the formulation of investment decisions. The accurate prediction of stock prices is a su...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
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| Series: | Sci |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2413-4155/7/1/7 |
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