TerraManta utilizes advanced machine learning technology to dissect news and data, pinpointing the specific factors that affect commodity pricing, starting with crude oil, as well as fluctuations in global demand and supply predictions, including updates specific to various countries. The analysis incorporates various elements such as conflicts, production rates adjusted for seasons, exploration efforts, distribution patterns, inventory levels, and insights from industry leaders and government officials, along with financial market dynamics like currency shifts. This innovative software processes readily available news articles covering geopolitics, energy sectors, commodities, finance, and additional subjects, integrating these findings with the fundamental principles governing the crude oil market. Users can visually track global events that could sway commodity prices on an interactive spinning globe, and they have the option to customize the displayed events by filtering through various categories. By selecting an event of interest, users can access detailed information, including the relevant region, event description, and data sources, enhancing their understanding of the factors at play in the market. Additionally, this tool empowers users to stay informed about real-time developments that may influence their investment decisions.