Research Paper#Cryptocurrency Price Prediction, Deep Learning, Recurrent Neural Networks🔬 ResearchAnalyzed: Jan 3, 2026 19:52
Cryptocurrency Price Prediction with Parallel GRUs
Published:Dec 27, 2025 14:04
•1 min read
•ArXiv
Analysis
This paper introduces a novel deep learning model, Parallel Gated Recurrent Units (PGRU), for cryptocurrency price prediction. The model leverages parallel recurrent neural networks with different input features and combines their outputs for forecasting. The key contribution is the architecture and the reported performance improvements in terms of MAPE, accuracy, and efficiency compared to existing methods. The paper addresses a relevant problem in the financial sector, given the increasing interest in cryptocurrency investments.
Key Takeaways
Reference
“The experimental results indicate that the proposed model achieves mean absolute percentage errors (MAPE) of 3.243% and 2.641% for window lengths 20 and 15, respectively.”