Time-series data, which exhibit a low signal-to-noise ratio, non-stationarity, and non-linearity, are commonly seen in high-frequency stock trading, where the objective is to increase the likelihood of profit by taking advantage of tiny discrepancies in prices and trading on them quickly and in...

The central research question to answer in this feasibility study is whether the Artificial Intelligence (AI) methodology of Self-Play can be applied to financial markets. In typical use-cases of Self-Play, two AI agents play against each other in a particular game, e.g. chess or Go. By...

Research on certain types of institutional order flow has highlighted potential destabilizing effects on market quality related to the fact that these orders can be anticipated by other market participants. Examples include the rebalancing of rules-based indexes and ETFs, including end-of-day...