Learn what FRED is and how to use the FRED Python API to access 816,000 US and international timeseries datasets.
You can download the code at the Analyzing Alpha GitHub Repo .
What Is FRED?
FRED, an abbreviation of Federal Reserve Economic Data, is a database consisting of 816,000+ economic datasets from private and public sources. FRED began in the 90s to help people better understand the Fed’s policy decisions. It grew organically and is maintained by The Research Department at the Federal Reserve Bank of St. Louis.
Get Data From The Federal Reserve (FRED)
Install FRED API
!pip install fredapi
Import Packages & Modules
import fredapi as fa import pandas as pd from local_settings import fred as settings fred = fa.Fred(settings['api_key'])
If you don’t want to use a local_settings.py file, you can enter your api_key directly.
fred = fa.Fred(api_key='api_key')
gdp = fred.get_series('GDP') gdp.name = 'gdp' gdp.tail()
2020-07-01 21138.574 2020-10-01 21477.597 2021-01-01 22038.226 2021-04-01 22740.959 2021-07-01 23173.496 Name: gdp, dtype: float64
wcurcir = fred.get_series('WCURCIR') wcurcir.name = 'wcurcir'
df = pd.merge(gdp, wcurcir, left_index=True, right_index=True) df
gdp wcurcir 1986-01-01 4507.894 197.252 1986-10-01 4657.627 200.310 1987-04-01 4806.160 207.376 1987-07-01 4884.555 214.574 1992-01-01 6363.102 307.620 1992-04-01 6470.763 302.935 1992-07-01 6566.641 310.268 1997-01-01 8362.655 449.867 1997-10-01 8765.907 457.144 1998-04-01 8969.699 473.740 1998-07-01 9121.097 482.139 2003-01-01 11174.129 686.685 2003-10-01 11772.234 696.782 2008-10-01 14608.208 836.296 2009-04-01 14381.236 902.604 2009-07-01 14448.882 907.936 2014-01-01 17144.281 1240.461 2014-10-01 17852.540 1289.118 2015-04-01 18193.707 1357.822 2015-07-01 18306.960 1366.614 2020-01-01 21481.367 1805.880 2020-04-01 19477.444 1876.839 2020-07-01 21138.574 1967.076
The Bottom Line
The FRED API allows developers to retrieve economic data from the FRED database. You now know how to get a FRED API key, install and import the FRED modules, and query and retrieve economic data for financial analysis.
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