Quickly and effectively iterate on ideas related to alpha generation, optimization, automated machine learning, and more.
Since content and APIs are fully integrated, users can spend less time on data management and more time focusing on their data science, quantitative research, or quantitative analysis goals.
Go beyond equities and investigate themes and ideas across asset classes.
The FactSet Quantitative Research Environment (QRE) is an open, programmatic environment in which users can analyze data and explore ideas, as well as create and automate workflows. As a hosted JupyterLab platform, users can leverage popular, open-source Python packages alongside integrated FactSet content and APIs. QRE can be used for anything from backtesting and data science experiments to portfolio construction and bespoke analytics workflows.
FactSet creates data and technology solutions for investment professionals around the world, providing instant access to financial data and analytics that investors use to make crucial decisions. We combine our unique proprietary datasets, your in-house data, and third-party unstructured data to help you see and seize opportunity sooner.
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