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PortfolioAnalytics allows the users to create dynamic analytical models combining specific data about their own portfolio holdings with external market data. Using such models, PortfolioAnalytics users interactively explore factors driving portfolio performance.

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Key features of PortfolioAnalytics are:

  • 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;
  • 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;
  • Interactive portfolio slicing and dicing by arbitrary factors;
  • 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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