Returns industry performance - the average price change, as a decimal (0.0125 means +1.25%), of the companies listed on an exchange (NASDAQ by default) in each industry. Provide exactly one of date (a snapshot across all industries on that date) or industry (the historical time series for one industry).

Also known as: industry performance snapshot, industry performance history, industry trend.

Industry Performance in Python or via the MCP

Install the Finance Toolkit with:

pip install financetoolkit -U

Then call get_industry_performance as shown below.

from financetoolkit import Discovery

discovery = Discovery(api_key="FINANCIAL_MODELING_PREP_KEY")

industry_snapshot = discovery.get_industry_performance(date="2024-02-01")

industry_snapshot.head()

industry_history = discovery.get_industry_performance(industry="Biotechnology")

industry_history.tail()

Or, after setting up the Finance Toolkit MCP, ask:

How did NASDAQ-listed biotechnology stocks perform on each trading day from 19 to 23 October 2026?

Which returns:

Date Industry Exchange Average Change
2026-10-19 00:00:00 Biotechnology NASDAQ 0.00476346
2026-10-20 00:00:00 Biotechnology NASDAQ 0.0238001
2026-10-21 00:00:00 Biotechnology NASDAQ 0.00810473
2026-10-22 00:00:00 Biotechnology NASDAQ 0.00288922
2026-10-23 00:00:00 Biotechnology NASDAQ -0.00890932

Parameters

get_industry_performance accepts the following parameters.

ParameterTypeDescriptionExample
datestrThe date to retrieve a snapshot for, e.g. “2024-02-01”. Defaults to None."2025-03-31"
industrystrThe industry to retrieve the history for, e.g. “Biotechnology”. Defaults to None."Semiconductors"
start_datestrThe start of the history of one industry. Defaults to a year ago."2025-01-01"
end_datestrThe end of the history of one industry. Defaults to today."2025-12-31"
exchangestrThe exchange whose companies are averaged, “NASDAQ”, “NYSE” or “AMEX”. Defaults to “NASDAQ”."NASDAQ"
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