Exploring the Artificially Intelligent Future of Finance

Jan: Astonishing increases in computing power and data availability in recent years have been the main benefactors of deep learning technology. Hitoshi: Some of the easily understandable applications, such as image recognition, video captioning and beating the world champion of Go, are pushing people hard to be excited. From a technical perspective, the generality and high accuracy that deep learning has is the main motivation for using it instead of other machine learning methods. In our case, for example, our AI engine learns how traders trade from the technical chart, no matter what kind of strategy or what kind of indicators they use. Alesis: The computational power and tools to utilize that power has definitely enabled the recent advancements in Deep Learning.