Our Technology
Underlying Analytics Technology
Our analytics engine is based on deep data agent-based algorithms scanning in real-time multiple quantitative primary data sources. These algorithms analyse the dynamic behaviour of market participants – i.e. buyers and sellers – and cluster them based on common feature sets. Noise classification, cluster identification, and behavioural finance theory are part of our unique core capabilities.
The technology underlying our AlgoDynamix risk analytics engine is based on decades of knowledge and experience gained from academia and tier 1 investment banking software development. Our analytics engine has been extensively tested in different sectors and economic cycles and has shown consistent performance and superior insights. In addition, exhaustive market research confirms the highly innovative nature of this technology and strong technical barriers to entry.
Our Coverage
Our software is continuously monitoring and analysing data flows on the world’s major financial exchanges. Product coverage includes most global equities, commodities and FX (including Crypto!). All of our analytics are available and configurable from our web portal. Actual delivery channels include email alerts/flags, optional API and web platform.
Contact us to get proof of concept tailored to your requirements.
Our Product Offerings
Don’t see a product that fits your needs? Contact us and we are happy to have a 15 minutes exploratory call to discuss your actual requirements and explore the best way to augment your investment and trading strategy through our analytics.
AlgoDynamix RAP Platform™
The RAP Platform™ provides hours or days advance warning of major downside events.
Magnum
Magnum is specifically designed for the bigger, longer market moves.
FICC
The full suite of directional risk forecasting analytics are available for Fixed Income, Currencies and Commodities.
AlgoDynamix Enterprise Solutions
AlgoDynamix Enterprise Solutions is our bespoke service which is fully customised to your requirements.