Enterprise Research Data: Intro to the New Python API

The biggest bottleneck in investment research isn't the analysis; it's the data preparation. Between managing point-in-time nuances and manually stitching disparate datasets, researchers often spend more time cleaning data than using it. Join our experts for an exclusive introduction to the new Research Datastore and Python API. By providing direct, interactive access to Enterprise Data Research datasets through python, the API streamlines research workflows and allows users to efficiently explore, analyze, and integrate financial data without the effort of manual data preparation. What We’ll Cover: • API First Steps: How to get started, navigate Research Datastore datasets and run first queries. • Point-in-Time Precision: Learn how to retrieve historical data exactly as it was known at a specific date, eliminating look-ahead bias in your back testing. • Interactive Exploration: Discover how to use the API for data discovery and hypothesis testing within a python environment. • Seamless Integration: A live demonstration of real-life use-cases of pulling research datasets directly into environment for immediate analysis. Who Should Attend? • Quants / Researchers looking to streamline back testing pipelines. • Data Scientists seeking more efficient access to institutional-grade financial data. • Portfolio Managers interested in reducing the operational overhead of research teams. Technical Requirement: A basic understanding of Python and data analysis libraries (like pandas or numpy) is recommended to get the most out of the coding session.