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Key features of PortfolioAnalytics are:
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On-the-fly data integration and normalization – dynamic mapping of underlying
tickers from various data sources to a master representation, combined with
portfolio holdings data;
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Modern ad-hoc analytics – creation of proprietary analytical models by using
powerful, yet user-friendly modern tools, such as C#, Dot Net and SQL-like
queries;
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Interactive portfolio slicing and dicing by arbitrary factors;
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Portfolio performance analysis – ability to execute “what-if” scenarios,
attribution analysis and trading simulations utilizing full power of
QuantOffice time-series analytics and QuantServer data delivery services.
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