In this project I tried to create a Time Series Model to learn the patterns of a series of Gross Revenue from the brazilian industry, from 2005 to 2020, in order to forecast this series along future time steps. Approaches: SARIMA Model: using Box & Jenkins Methodology, testing endogenous features as well. LSTM Model: using the same features as before, even first and second differentiation of the series.