Comparison of LSTM and Transformer Models in Predicting NVIDIA Stock Closing Prices and the Application of Rule-based Trading Strategies
In today’s modern financial landscape, where accuracy and speed of prediction are increasingly critical, machine learning techniques play a vital role in stock price forecasting. This study evaluates the effectiveness of two deep learning models—Long Short-Term Memory (LSTM) and Transformer—in pred...
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| Main Authors: | , |
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| Format: | Article |
| Language: | Indonesian |
| Published: |
Islamic University of Indragiri
2025-09-01
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| Series: | Sistemasi: Jurnal Sistem Informasi |
| Subjects: | |
| Online Access: | https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/5445 |
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