Our philosophy is that the world can be understood. We strive to build and train neural networks that incorporate and model the fundamental cause-and-effects in the market — be it how global economies and markets work or how people think and make decisions differently. Our algorithms are driven by underlying economic reasoning and our machine learning and AI strategies find and leverage signals in the market, e.g. supply and demand imbalance, a mixture of technical and fundamental drivers of stock price or a structural mispricing between an index ETF and its constituent stocks.