Forecasting time series data is an important subject in economics, business, and finance. Traditionally, there are several techniques to effectively forecast the next lag of time series data such as ...

Toto is a foundation model for multivariate time series forecasting with a focus on observability metrics. This model leverages innovative architectural designs to efficiently handle the ...

In a market where billions are traded every day, predictive accuracy is paramount. By combining adaptive decomposition, deep ...

Forecasting stock prices requires models capable of navigating complex, nonlinear patterns under volatile market conditions. This research proposes a hybrid deep learning frame- work that integrates ...