Can I read Anh Hy 2025 Clam A Synergistic Deep Learning Model For Multi Step Stock Trend Forecasting on EtoBox?

Anh Hy 2025 Clam A Synergistic Deep Learning Model For Multi Step Stock Trend Forecasting by fa23-bee-011 is a document available to read on EtoBox.

What is Anh Hy 2025 Clam A Synergistic Deep Learning Model For Multi Step Stock Trend Forecasting about?

The paper presents CLAM, a hybrid deep learning model that combines CNNs, LSTMs, and an Attention Mechanism for multi-step stock trend forecasting, achieving over 80% reduction in MAE and RMSE compared to traditional models. CLAM effectively captures both short-term and long-term trends, resulting in a 75% accuracy in trend predictions, which is beneficial for real-time financial trading. The model

Author

fa23-bee-011

Language

EN