The business of TAOS is almost as multi-faceted as its alternative realities are. The potential revenue sources come down effectively to the offering of AI big data and quality. Artificial intelligence eats masses of high quality granular data. Without abundance of high-frequency (HF) data, there is not much of hope of predictability in a complex dynamic system as financial markets with their extreme greeds and fears.

TAOS generates what is the finest-grained financial limit-order book (LOB) data available known as L3 “MBO” (“market-by-order”). When the dynamics of such big data sets get to be statistically indistinguishable from reality, the project is in the money. Many of the so-called stylized facts have been well-matched (to be illustrated here). When the deeper LOB levels dynamics are matched, AI can get super-intelligent.

Buyers of such highly granular big data of artificial origin matching the reality as closely as possible can include several (not only intraday) type of trading companies and hedge funds targeting to execute at the right time – especially to manage risk in illiquid positions by trading early market signals of bubbles or crashes, or purely fine-tuning trading algorithms to execute better to save in execution costs.

Other well-justified clientele include stock and crypto exchanges and, even in some cases, regulatory institutions interested in liquidity and performance metrics that appreciate the value of the depth and scope the L3 MBO type of HF-data provides in order to maximise their business or market quality targets. Lastly, and perhaps most excitingly, TAOS can be used to define a future exchange with the best incentives.