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AlgoDynamix Sep 2017, Financial Risk Forecasting, Presented by Jeremy Sosabowski

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Event
  • Session
  • Friday, 22 September 2017
  • 14:22 - 14:22
  • Duration: 7 mins
  • Publication date: 05 Feb 2018
  • Location: Kelvin Lecture Theatre, Savoy Place, London, United Kingdom
  • Part of event China - Britain AI Summit

About the session

AlgoDynamix Ltd.
Financial forecasting tools providing insights hours or days in advance of major directional market movements. AlgoDynamix is a deep data software risk analytics company focusing on financially disrup-tive events. The software detects anomalies in the financial markets and anticipates directional price movements hours (or days) in advance. Unlike the majority of other solutions, the underlying technology does not require any historical data or knowledge of previous disruptive events. The underlying analytics engine is based on sophisticated ‘deep data’ agent-based algorithms, scan-ning multiple quantitative and qualitative data sources, in real-time. The algorithms analyse the dynamic behaviour of market participants – i.e. buyers and sellers – and cluster them based on common feature sets. Noise classification, cluster identifica-tion, and behavioural finance theory are part of our unique core capabilities. The foundational AI technology, unsupervised ma-chine learning, is the outcome of many years of research at the University of Cambridge (UK). The company is backed by institu-tional investors including Amadeus Capital Partners and was recently nominated as one of the UK’s most disruptive technology companies.

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Speaker

  • Dr Jeremy Sosabowski

    Dr Jeremy Sosabowski

    AlgoDynamix, CEO

    Jeremy is CEO of AlgoDynamix, a software risk analytics company focusing on financially disruptive events. His previous roles included data scientist (analytics, statistics and user profiling) at a payment processing company and CTO at a telecommunication network infrastructure company. He has an undergraduate and two postgraduate degrees in Engineering, including an Engineering Ph.D. from the University of Cambridge (laser physics/quantum mechanics).
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