Bloomberg Data and Analytics
Power BI is a powerful business intelligence tool that allows users to connect, analyze, and visualize data from a variety of sources. One of the sources that many financial analysts use is Bloomberg’s Data and Analytics service. In this article, we’ll explore how to connect to Bloomberg’s Data and Analytics service from inside Power BI using the Power Query M language.
What is Bloomberg’s Data and Analytics Service?
Bloomberg’s Data and Analytics service is a comprehensive source of financial market data, news, and analysis. It provides real-time and historical data on equities, fixed-income securities, currencies, commodities, and more. The service is used by financial professionals around the world to make informed investment decisions.
Connecting to Bloomberg’s Data and Analytics Service from Inside Power BI
To connect to Bloomberg’s Data and Analytics service from inside Power BI, we’ll need to use the Power Query M language. Power Query is a data connection and transformation tool that is built into Power BI. It allows you to connect to a variety of data sources, transform and clean the data, and load it into Power BI for analysis and visualization.
Here’s the Power Query M language code that you can use to connect to Bloomberg’s Data and Analytics service from inside Power BI:
let
Source = Bloomberg.DataAPI(null, null, null, [Query=”SPX Index,INDX_MEMBERS”], [MaxResults=1000]),
#”Converted to Table” = Table.FromList(Source, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
#”Expanded Column1″ = Table.ExpandRecordColumn(#”Converted to Table”, “Column1”, {“ID”, “NAME”, “LAST_PRICE”, “PX_LAST”, “PX_VOLUME”, “PX_CHANGE”, “PX_OPEN”, “PX_HIGH”, “PX_LOW”, “MARKET_CAP”, “NET_CHANGE”, “PCT_CHANGE”, “VOLUME_AVG_30D”, “PE_RATIO”, “DIVIDEND_YIELD”}, {“Column1.ID”, “Column1.NAME”, “Column1.LAST_PRICE”, “Column1.PX_LAST”, “Column1.PX_VOLUME”, “Column1.PX_CHANGE”, “Column1.PX_OPEN”, “Column1.PX_HIGH”, “Column1.PX_LOW”, “Column1.MARKET_CAP”, “Column1.NET_CHANGE”, “Column1.PCT_CHANGE”, “Column1.VOLUME_AVG_30D”, “Column1.PE_RATIO”, “Column1.DIVIDEND_YIELD”})
in
#”Expanded Column1″
This code uses the `Bloomberg.DataAPI` function to connect to Bloomberg’s Data and Analytics service. The `Query` parameter specifies the data that we want to retrieve. In this example, we’re retrieving data for the S&P 500 index and its constituent members. The `MaxResults` parameter specifies the maximum number of results that we want to retrieve.
Once we have the data, we convert it to a table using the `Table.FromList` function. We then expand the table to show all of the columns using the `Table.ExpandRecordColumn` function.
Conclusion
Connecting to Bloomberg’s Data and Analytics service from inside Power BI using the Power Query M language is a powerful way to analyze financial market data. By using the code provided in this article, you can quickly and easily retrieve data from Bloomberg and load it into Power BI for analysis and visualization.
