This study introduces the innovative Neural Ordinary Differential Equations (NODE) model tailored for stock price forecasting, utilizing continuous data interpretation for handling irregular time series efficiently. Empirical evidence showcases NODE's superiority, achieving over 76% reduction in MAE and RMSE metrics compared to baseline models, dem
This repository contains stock datasets of Target (TGT), Amazon (AMZN), and Walmart (WMT). It also includes the source code of our Hybrid Deep Learning model (CNN-BiLSTM-GRU) with the implementation of Phase Space Reconstruction technique.
Algorithm for the computation of Multichannel Distribution Entropy (MDistEn).
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