Cache Contents

Show what the cache currently holds, grouped by source and dataset.

The cache stores data per source, per dataset and per entity (a ticker, a country, a series identifier), which makes it possible to remove part of it rather than all of it. This method is the counterpart to clear_cache: it shows what is there so that removing something is an informed decision.

The cache is inspected even when this Toolkit was created with use_cached_data=False, so a cache filled by an earlier session can always be reviewed.

Cache Contents in Python

Install the Finance Toolkit with:

pip install financetoolkit -U

Then call get_cache_contents as shown below.

from financetoolkit import Toolkit

toolkit = Toolkit(
    ["AAPL", "MSFT"],
    api_key="FINANCIAL_MODELING_PREP_KEY",
    start_date="2021-01-01",
    end_date="2025-12-31",
)

toolkit.get_historical_data()

toolkit.get_cache_contents()

Which returns:

Related Cache