From ultra-low latency algo development, to rule based manual trade entry, Markets.AI can craft a dynamic trading system by combining best practices with your specific objectives, risk parameters, and latency constraints, to optimize trading strategy performance.

Gain an independent view of the types of successful strategies used on the books you trade, or dive deeper and map your OrderIDs directly onto their Central Limit Order Book. Benchmark your orders to competing order strategies and determine what you are doing right, and which alternative strategies could help you improve.

Measure the capacity of any order book to trade your strategy and attain your objective. Detect shifts in order book participation that show important regime changes suggesting a strategy shift review.

Once an Order Book has been decoded and transformed, a variety of analytic and machine learning techniques can be applied using the Markets.AI platform to make high probability forecasts of what events are likely to occur next. The selection of the technique is determined by the time horizon and level of confidence required to deploy risk capital over a specific duration - from microseconds to a session or longer.

Electronic Order Book data, implied books, block and bi-lateral OTC market data can be merged into the same graph, allowing their interactions to be understood, and more importantly, permit the optimal liquidity pool selection to be made relative to the Depth-of-Market Implied Price for Size.