More than 1,000 context variables related to raw materials, to emulate the reality of the world that impacts prices, for example: weekly rainfall in Brazil, USD-Euro currency, minimum temperatures in Ukraine, volatility index, energy cost, etc..
20-year database to simulate commodity prices relative to the history of context variables.
