<ul><li>A novel deep learning hybrid model is introduced for predicting cryptocurrency prices.</li><li>The model integrates attention Transformer and Gated Recurrent Unit (GRU) architectures.</li><li>The hybrid model combines the strength of Transformer in capturing long-range patterns and GRU's ability to model short-term and sequential trends.</li><li>The model outperforms four other machine learning models, demonstrating its accuracy and effectiveness in financial prediction tasks.</li></ul>

A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices

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