Forecasting stock prices: Deep Learning and Full Order Book Dynamics
This paper examines the effectiveness of deep learning models in short-term stock price forecasting using full order book (FOB) data alongside traditional OHLCV features. Historical prices and order book data for 39 stocks over one month were collected, cleaned, and normalized to build three data...
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| Formato: | Article ou chapitre numérique |
| Lenguaje: | Français |
| Publicado: |
2026
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| Acceso en línea: | Accès Université d'Orléans et IFPM Accès Université d'Orléans et IFPM |