The risk factor dropped by 17.2%

The agriculture market can be very volatile. Prices for grain and other crops react instantly to news about drought, frost, and a host of other factors. If players want to avoid losing money, they have to constantly be evaluating and calculating risks. This was the problem an agricultural trading business came to us with: minimizing risk. We analyzed a mountain of historical data and used it to build a model describing weather trends. The model brings together long-term forecasts (6-12 months), geographies, weather anomalies, and other factors impacting yields. The risk factor dropped by 17.2%.