Prediction Machines builds intelligent and intuitive algorithms to exploit commercial opportunities at trading venues. Trading venues, which include financial markets exchanges, online trading portals, traditional marketplaces for commodities, and even some types of computer games that allow the participant to buy and sell products for financial gain. Of course, there is no free lunch at these venues and unwitting participants can easily take risks that result in losses. Our research team is adept at working with data to identify the salient features relevant for making commercial predictions about price movements. We deploy a broad spectrum of techniques within machine learning theory for classification and regression when working with such data. Deep domain knowledge can provide a crucial advantage when attempting to identify the relevant features of a trading exploit in a complex dynamic system. Prediction Machines works closely with domain knowledge experts to identify and characterize such features which might not often lend themselves to traditional classification methods in machine learning. A primary focus for Prediction Machines is the development of realistic simulations, or games, that contain the salient features that we have identified, from which we are able to train trading algorithms that make use of nascent methods in deep learning and reinforcement learning. Contact us: info@prediction-machines.com