isyatirimhisse

When using the library, follow these patterns for the symbols and indices parameters:

• Multiple items: Always use a list with square brackets (e.g., ['THYAO', 'ASELS']) when requesting data for more than one ticker or index.
• Single item: You can provide a single symbol directly as a string (e.g., 'THYAO').

Disclaimer

isyatirimhisse is not an official library of Is Investment Securities Inc. and is designed for personal use only. Users must comply with Is Investment's terms of use.

Avoiding IP Blocking and Service Disruption

To prevent performance impacts, service interruptions, or IP blocking, follow these guidelines:

• Maintain reasonable request speeds: Do not flood the website with excessive requests in a short period.
• Cache data locally: Store frequently accessed data locally to minimize repetitive network requests.

To use the library, import the core fetching functions from the isyatirimhisse package.

from isyatirimhisse import fetch_stock_data, fetch_index_data, fetch_financials

To use the library, import the core functions from isyatirimhisse:

from isyatirimhisse import fetch_stock_data, fetch_index_data, fetch_financials

Install the latest version of the isyatirimhisse library using pip. You can also specify a particular version if needed.

To check your currently installed version, use pip show isyatirimhisse.

# Install latest version
pip install isyatirimhisse

# Install specific version
pip install isyatirimhisse==5.0.1

# Check installed version
pip show isyatirimhisse

Use fetch_index_data to retrieve historical index data.

Parameters:

• indices (str | list): One or more index codes (e.g., "XU100").
• start_date (str): Start date in 'DD-MM-YYYY' format.
• end_date (str, optional): End date in 'DD-MM-YYYY' format.
• save_to_excel (bool, optional): If True, saves the resulting DataFrame to an Excel file. Defaults to False.

df = fetch_index_data(
    indices="XU100",
    start_date="01-01-2023",
    end_date="18-07-2025",
    save_to_excel=True
)

Use fetch_stock_data to retrieve historical stock price data.

Parameters:

• symbols (str | list): One or more stock symbols (e.g., "THYAO" or ["THYAO", "ASELS"]).
• start_date (str): Start date in 'DD-MM-YYYY' format.
• end_date (str, optional): End date in 'DD-MM-YYYY' format.
• save_to_excel (bool, optional): If True, saves the resulting DataFrame to an Excel file. Defaults to False.

df = fetch_stock_data(
    symbols="THYAO",
    start_date="01-01-2023",
    end_date="18-07-2025",
    save_to_excel=True
)

Use fetch_financials to retrieve financial statement data for specific stocks.

Parameters:

• symbols (str | list): One or more stock symbols.
• start_year (int | str): The starting year.
• end_year (int | str, optional): The ending year.
• exchange (str, optional): The currency type, either 'TRY' or 'USD'. Defaults to 'TRY'.
• financial_group (str): The financial statement group identifier:
  • '1': XI_29
  • '2': UFRS
  • '3': UFRS_K
• save_to_excel (bool, optional): If True, saves the results to an Excel file. Defaults to False.

df = fetch_financials(
    symbols="THYAO",
    start_year=2023,
    end_year=2025,
    exchange="TRY",
    financial_group='1',
    save_to_excel=True
)