Build Financial Models in Python using Datastream Web Service

Presenter: Jonathan Legrand from Refinitiv

Length: 60 mins

If you need to construct complex models, Python and R are probably the best ubiquitous and robust languages you can consider. Datastream allows for seamless integration in your code – minimizing the hassle of data tidying and normalising it. 

In this webinar, Developer Advocates discuss the topic with following samples: 

  • Ease of use: Rank countries by their aggregated ESG SDG scores. 
  • Implementation in models in Python: Estimate income and expenditure-approach monthly GDP values using the Holt-Winters model. 
  • Implementation in models in R: Forecasting Index price movements based on Information Demand data. 

You will learn:

  • How to easily use DSWS in Python and R. 
  • How to inject the DSWS data into tables, data-frames, models and charts.