Alpha Vantage Symbols

Published: 19 Feb 2023

This page explains how to get a list of all stock and ETF symbols from Alpha Vantage. The dataset also includes details such as company name and IPO date, or delisting date for delisted stocks.

List of all symbols API URL

For a complete list of active symbols it is best to the the LISTING_STATUS function. The URL is:

This link also works with the demo API key (or you can use your own in the url parameter apikey).

Output format and columns

The output is CSV (not JSON). The columns are:

  • symbol
  • name = company or fund name
  • exchange = e.g. 'NASDAQ', 'NYSE', 'NYSE ARCA', 'BATS'
  • assetType = 'Stock' or 'ETF'
  • ipoDate = date of IPO (when stock started trading)
  • delistingDate = none for active symbols
  • status = always 'Active' for active symbols

The dataset includes both stocks and ETFs. You can filter it using the assetType column, which is either 'Stock' or 'ETF'.

For stocks (not ETFs) you can find additional company characteristics such as market cap, dividend amount, or P/E ratio in the company overview dataset. There are also several datasets for detailed fundamental data.

Delisted symbols

The LISTING_STATUS function has an optional parameter status.

By default (if you don't include it in the URL), status=active, returning actively listed symbols.

Alternatively you can use status=delisted to get delisted symbols (stocks and ETFs no longer trading).

Active or delisted symbols at given date

Another optional parameter is date. You can use it to get a snapshot of active or delisted symbols for a particular day in the past. The format is yyyy-mm-dd. For example:

Alpha Vantage symbols with Python pandas

The code below gets Alpha Vantage symbols into a pandas DataFrame.

import pandas as pd

API_KEY = ...  # Your AV API key


symbols = pd.read_csv(ACTIVE_CSV_URL)


delisted = pd.read_csv(DELISTED_CSV_URL.format(API_KEY))

Note: The active symbols dataset works with apikey=demo. For delisted symbols you need your own API key (see how to get and use it).

By remaining on this website or using its content, you confirm that you have read and agree with the Terms of Use Agreement.

We are not liable for any damages resulting from using this website. Any information may be inaccurate or incomplete. See full Limitation of Liability.

Content may include affiliate links, which means we may earn commission if you buy on the linked website. See full Affiliate and Referral Disclosure.

We use cookies and similar technology to improve user experience and analyze traffic. See full Cookie Policy.

See also Privacy Policy on how we collect and handle user data.

© 2024 FinTut