Entity
Description
  • Value proposition

    We Automate FinTech

    Peracton provide a cutting edge AI-enhanced multi-asset management Algo trading and investment platform. It is available in its entirety or as individual business modules for installation on site in a customer's software suite, or in the Cloud. Our prime target is Hedge Funds, Sovereign Funds and Asset Management groups in financial institutions.

    Peracton:
    - assists financial professionals in finding the best investment/trading approaches through the use of Cognitive/Artificial Intelligence technologies (Machine Learning, NLP)
    - uses optimisation to increase algorithm returns by up to 15%
    - increases returns by 5%-10% by combining and running real time analytics on classic financial data in conjunction with social networks sentiment data - in particular from SSIX (see https://ssix-project.eu/
    - runs real time analytics fast: we can simulate 3-5 years of investment modelling in 5 seconds
    - can reduce the work time of financial professionals by 50% or more
    - will always return a list of the closest fit products to the requirements expressed by the portfolio manager

    The range of instrument types covered is extensive, including (not exclusively):
    - Stocks, funds, futures, options, FOPs (future options), ETFs
    - Warrants, structured products (Turbos and Certificates)
    - SSFs (Single stock futures), commodities, Forex, metals
    - Indices, bonds, CFDs (Contracts for Difference)

    Peracton was founded in 2010 and has its headquarters in Galway, Ireland, and presence in Oxford and London in the UK, Paris in France and Boston and Silicon Valley in the US.


    Equity Analytics Software, High Speed Trading, Risk Management, Stock Analytics, Portfolio Management, Mutual Funds Analytics, Audit trail, Compliance for invesment, ETFs Analytics, Equity Back-testing & Data Mining, Algo-Trading, Investment Ideas Generation, AI, NLP, and multi asset

Corporate interactions BETA
Corporate TypeTweets Articles
Credit Suisse Credit Suisse
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22 Feb 2017


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