Abstract: Stock movement prediction remains challenging due to the complexity of integrating heterogeneous data sources and capturing intricate temporal-semantic relationships. Existing approaches ...
Abstract: Our study combines Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) recurrent neural networks to create an advanced stock price prediction model with superior time-series ...
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