Sector Weightings
Get how every fund is allocated across sectors, as decimals, the largest weights of the first fund first. This shows whether a fund that looks broad is in fact concentrated in a few sectors, such as technology in many large-cap indices.
Tickers that are not an ETF or fund return no data. They are not removed from the Toolkit instance.
Also known as: sector allocation, sector exposure, sector breakdown.
Sector Weightings in Python or via the MCP
Install the Finance Toolkit with:
pip install financetoolkit -U
Then call get_sector_weightings as shown below.
from financetoolkit import Toolkit
toolkit = Toolkit(
["QQQ", "VTI"],
api_key="FINANCIAL_MODELING_PREP_KEY",
start_date="2021-01-01",
end_date="2025-12-31",
)
toolkit.etf.get_sector_weightings()
Or, after setting up the Finance Toolkit MCP, ask:
How are the Invesco QQQ Trust and the Vanguard Total Stock Market ETF (VTI) spread over the sectors?
Which returns:
| Sector | QQQ | VTI |
|---|---|---|
| Technology | 0.603104 | 0.365041 |
| Communication Services | 0.117791 | 0.086689 |
| Consumer Cyclical | 0.098732 | 0.089865 |
| Consumer Defensive | 0.057355 | 0.042514 |
| Industrials | 0.055378 | 0.088185 |
| Healthcare | 0.036579 | 0.099808 |
| Utilities | 0.010639 | 0.019731 |
| Basic Materials | 0.009198 | 0.022242 |
| Cash & Others | 0.004737 | 0.001929 |
| Energy | 0.004538 | 0.037377 |
| Financial Services | 0.001949 | 0.123878 |
| Real Estate | 0 | 0.022741 |
Parameters
get_sector_weightings accepts the following parameters.
| Parameter | Type | Description | Example |
|---|---|---|---|
overwrite | bool | Whether to retrieve the weightings again. Defaults to False. | True |