Returns sector 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 sector. Provide exactly one of date (a snapshot across all sectors on that date) or sector (the historical time series for one sector).

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

Sector Performance in Python or via the MCP

Install the Finance Toolkit with:

pip install financetoolkit -U

Then call get_sector_performance as shown below.

from financetoolkit import Discovery

discovery = Discovery(api_key="FINANCIAL_MODELING_PREP_KEY")

sector_snapshot = discovery.get_sector_performance(date="2024-02-01")

sector_snapshot.head()

sector_history = discovery.get_sector_performance(sector="Energy")

sector_history.tail()

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

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

Which returns:

Date Sector Exchange Average Change
2026-10-19 00:00:00 Energy NASDAQ -0.00464467
2026-10-20 00:00:00 Energy NASDAQ -0.00762765
2026-10-21 00:00:00 Energy NASDAQ -0.00226659
2026-10-22 00:00:00 Energy NASDAQ -0.019561
2026-10-23 00:00:00 Energy NASDAQ 0.0308545

Parameters

get_sector_performance accepts the following parameters.

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