Leveraging Large Language Models and Data Augmentation in Cognitive Computing to Enhance Stock Price Predictions
Precise stock price forecasting is essential for informed decision-making in financial markets. This study examines the combination of large language models (LLMs) with data augmentation approaches, utilizing improvements in cognitive computing to enhance stock price prediction. Traditional methods...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2025-10-01
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| Serie: | Engineering Proceedings |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2673-4591/112/1/40 |
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