We are able to develop a model for forecasting oil prices taking into account geopolitical, climatic and other difficult to predict factors. To increase the accuracy of the forecast when building a model, we use a combination of several methods that mutually exclude each other's shortcomings. As a result, we get a hybrid model that, taking into account the requirements for the final product, most fully reflects the complex relationship of various factors.