TerraManta for Crude Oil uses machine learning technology and identifies individual components which influence the price of commodities (crude oil): changes in global demand and supply forecasts (including country specific updates), conflicts, production rates (including seasonal adjustments), exploration activities, distribution, inventories, statements by oil industry executives and government officials, financial market updates (including currency fluctuations) and others.