Our algorithmic book management system ensures that you make most revenue from your portfolio as possible by using artifical intelligence to group exposure within your portfolio
The future is here now. We offer the most sophisticated toxic flow detection system on the market. Lightening fast toxic detection which can dramatically boost revenues.
Our statistical decompilation technology© allows firms to protect themselves from algorithmic traders
We integrate with popular trading platforms like MT4 & MT5 as well as liquidity bridges
In most cases we can improve firm PnL by 20%, and we can prove this.
Optimise risk groupings and improve effectiveness of risk isolation strategies
Our user interface displays real time portfolio level analysis as well as historical results
We can show you exactly how much you can save using this system. We can demonstrate backwards and forwards tests of our algorithms on your real-time dataset
We have built in several analysis features to allow the system to run along-side human risk managers or alternatively it can be set to run automatically.
Our team has expirence in AI, Risk Management, Quantitative Modelling, Regulation & Trading
Our products have been forged out of partnerships with some of the world’s leading universities and world renowned academic risk research centres. All our products are based on evidence driven research and implementation.Coming soon
Information about our research, upcoming releases and company information is posted on our blog. A more informal way to communicate with the industryComing soon
Want to do your Phd with us? We have strong university links with whom we partner with
Our strategic academic partners allow us to create challenging research training experiences, within the context of a mutually beneficial research collaboration between the Universities, and analytic.ai
The aims of the project are to: (i) develop and employ advanced statistical, econometric and machine learning techniques to better understand the trading behaviour of individuals in speculative financial markets, (ii) develop means by which trading and market conditions data can be combined to produce real-time predictions of directions and volumes of trading activity in a given market. The project will be undertaken with the support of analytic.ai.