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Fairouz Zendaoui

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Open access Aug 2026

Hybrid Deep Learning and Reinforcement Learning for Adaptive Cryptocurrency Trading Using Attention-LSTM and Soft Actor-Critic

This study proposes a hybrid artificial intelligence-based trading framework that integrates deep learning and reinforcement learning to develop an adaptive Bitcoin trading strategy. The proposed approach combines an Attention Long Short-Term Memory model to estimate the probability of future price movements with a Sof...

Fairouz Zendaoui · 0 citations

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