Historical Statistics

Retrieve statistics about each ticker’s historical data. This is especially useful to understand why certain tickers might fluctuate more than others as it could be due to local regulations or the currency the instrument is denoted in. It returns:

• Currency: The currency the instrument is denoted in.
• Symbol: The symbol of the instrument.
• Exchange Name: The name of the exchange the instrument is listed on.
• Instrument Type: The type of instrument.
• First Trade Date: The date the instrument was first traded.
• Regular Market Time: The time the instrument is traded.
• GMT Offset: The GMT offset.
• Timezone: The timezone the instrument is traded in.
• Exchange Timezone Name: The name of the timezone the instrument is traded in.

Also known as: listing details, instrument information, exchange and currency.

Historical Statistics in Python or via the MCP

Install the Finance Toolkit with:

pip install financetoolkit -U

Then call get_historical_statistics as shown below.

from financetoolkit import Toolkit

toolkit = Toolkit(
    ["ASML.AS", "ASML"],
    start_date="2021-01-01",
    end_date="2025-12-31",
)

toolkit.get_historical_statistics().loc[
    ["Currency", "Exchange Name", "Instrument Type", "First Trade Date", "Exchange Timezone Name"]
]

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

Which returns:

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