Abstract This paper develops a novel hybrid Autoregressive Distributed Lag Mixed Data Sampling (ARDL-MIDAS) model that integrates both deep neural network multi-head attention Transformer mechanisms, and number of covariates, including sophisticated stochastic text time-series features, into mixed-frequency regression with long memory structure. In doing so, we demonstrate how the resulting cla...