The sports betting market has emerged as one of the most lucrative markets in recent years. In this kind of prediction market, participants trade assets related to sports events according to their expectations. Prices in sports betting markets continually change depending on what is happening in the event. In this paper we propose an approach focused on predicting price movements in order to make benefits regardless of the final result.
We develop an agent who participates in the market focused on the task of learning the price movements in order to make predictions of future prices. Our approach is based on identifying and learn pattern price movements in order to predict the price movements of new events by using an underlying Case Based Reasoning system.