fred-economic-data

To retrieve economic time series data from FRED, query the Federal Reserve Economic Data API to access over 800,000 macroeconomic indicators like GDP, unemployment, and inflation. You can apply data transformations and frequency aggregations directly to the results.

The Federal Reserve Economic Data API provides access to over 800,000 macroeconomic time series indicators, including GDP, unemployment rates, inflation, and interest rates for financial research and economic forecasting.

Yes, you can apply data transformations like percent change and frequency aggregation to FRED time series. This supports in-depth macroeconomic analysis by allowing you to customize economic data outputs to match your forecasting requirements.

Yes, you need a Python environment with pandas and requests installed to process FRED economic indicators. These dependencies handle the API requests and structure the retrieved macroeconomic time series data for analysis.

Access historical vintage data for economic forecasting by querying the FRED API. This retrieves past revisions of macroeconomic time series, allowing you to analyze trends based on the specific economic data available at different points in time.

The best way to pull historical GDP growth rates and inflation data is by querying the FRED API. You can retrieve the specific time series, apply percent change transformations, and use the results to identify economic trends for investment strategies.