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 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
ThinkCoin is the digital trading token that underpins the AI Powered TradeConnect network. By bringing trading to the blockchain, ThinkCoin lets you trade forex, commodities, shares and other financial products with your peers in a simple, secure and user-friendly way.More Info
Ashley Aberneithy, CEO of analytic.ai was invited into the UK Parliment as part of an event organised by the Europe India Centre for Business & Industry. The aim of the event was to bring together high-tech companies in the UK and India to foster partnerships between the two countriesMore Info
Check out article published in finance magnates thought leadership section. It’s commonplace for risk managers to group their portfolio into risk books. The process of isolating risk within their portfolio involves risk managers creating distinct groups for different types of trader. The risk manager might place large size traders into one group, whereas high frequency traders may go into another group.More Info
Ashley Aberneithy, CEO of analytic.ai, delivered a Centre for Risk Research (CRR) seminar to an audience over 100 on 3rd May 2017. He discussed how to get humans to trust computer-generated decisions and his experiences in forming a start-up in the field of decision analytics and machine learning.More Info
Want to work in an exciting new area of behavioural finance? Take a look at our vacancies
The aims of our Phd courses are to: (i) develop advanced statistical, econometric and machine learning techniques to better understand the collective trading behaviour of a population in speculative financial markets and (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.
We are always on the lookout for talented behavioural psychologists. To apply to for this role you will hold a Phd in a related field and have demonstrable knowledge of how your research has modelled part of the financial markets.
We have several exciting openings for software developers. You will have deep knowledge of an object oriented language (C#,C++ or Java) and some knowledge of a functional programming language (F#, Haskell, ML)
We require a skilled UX designer, ideally with knowledge of financial trading applications. You would have a detailed portfolio show how you have visualised complex high-dimensionality analytics and ideally you would have worked with a financial brokerage or investment bank in the past.
P: +44 (0)203 544 5062