Nasdaq Data Link API Documentation

Welcome to Nasdaq Data Link. You'll find comprehensive guides and documentation to help you start working with Data Link as quickly as possible, as well as support if you get stuck. Let's get started.



Make a time-series call

This call gets US GDP, which has a Time-series code of FRED/GDP, from the FRED dataset: data <- Quandl("FRED/GDP")

Change formats

You can get the same data in a dataframe: data <- Quandl("FRED/GDP", type="raw")

In ts format: data <- Quandl("FRED/GDP", type="ts")

In xts format: data <- Quandl("FRED/GDP", type="xts")

In zoo format: data <- Quandl("FRED/GDP", type="zoo")

Make a filtered time-series call

To set start and end dates: data <- Quandl("FRED/GDP", start_date="2001-12-31", end_date="2005-12-31")

To request specific columns: data <- Quandl(c("FRED/GDP.1", "WIKI/AAPL.4"))

Preprocess the data

To change the sampling frequency: data <- Quandl("FRED/GDP", collapse="annual")

To perform elementary calculations on the data: data <- Quandl("FRED/GDP", transform="rdiff")

Make a multiple time-series call

If you want to get multiple codes at once, delimit the codes with , and put them into an array. This will return a multiple datasets: merged_data <- Quandl(c('EXMPL/DATA1', 'EXMPL/DATA2'))

You can also specify specific columns to retrieve. For example, if you only want column 1 from EXMPL/DATA1 and column 2 from EXMPL/DATA2: merged_data <- Quandl(c('EXMPL/DATA1.1', 'EXMPL/DATA2.2'))

Download an entire time-series dataset

An entire time-series dataset's data can be downloaded.

For example, to download the dataset ZEA: Quandl.database.bulk_download_to_file("ZEA", "./")

This call will download an entire time-series dataset as a ZIP file.



For a full list of optional query parameters for downloading a time-series dataset, click here.

Updated 4 years ago


Suggested Edits are limited on API Reference Pages

You can only suggest edits to Markdown body content, but not to the API spec.