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MERA: Expert Model for Stock Prediction by lingyun wei is a document available to read on EtoBox.

The document presents MERA, a novel Mixture of Experts with Retrieval-Augmented Representation model aimed at improving stock price prediction by dynamically allocating data to specialized experts based on identified stock patterns. It employs self-supervised pre-training and retrieval techniques to enhance the accuracy of predictions, particularly in capturing diverse market behaviors. Extensive experiments demonstrate MERA

Author
lingyun wei
Language
EN