yfinance.download

yfinance.download(tickers, start=None, end=None, actions=False, threads=True, ignore_tz=None, group_by='column', auto_adjust=True, back_adjust=False, repair=False, keepna=False, progress=True, period='max', interval='1d', prepost=False, proxy=None, rounding=False, timeout=10, session=None, multi_level_index=True) → DataFrame | None

Download yahoo tickers :Parameters:

tickersstr, list

List of tickers to download

periodstr

Valid periods: 1d,5d,1mo,3mo,6mo,1y,2y,5y,10y,ytd,max Either Use period parameter or use start and end

intervalstr

Valid intervals: 1m,2m,5m,15m,30m,60m,90m,1h,1d,5d,1wk,1mo,3mo Intraday data cannot extend last 60 days

start: str

Download start date string (YYYY-MM-DD) or _datetime, inclusive. Default is 99 years ago E.g. for start=”2020-01-01”, the first data point will be on “2020-01-01”

end: str

Download end date string (YYYY-MM-DD) or _datetime, exclusive. Default is now E.g. for end=”2023-01-01”, the last data point will be on “2022-12-31”

group_bystr

Group by ‘ticker’ or ‘column’ (default)

prepostbool

Include Pre and Post market data in results? Default is False

auto_adjust: bool

Adjust all OHLC automatically? Default is True

repair: bool

Detect currency unit 100x mixups and attempt repair Default is False

keepna: bool

Keep NaN rows returned by Yahoo? Default is False

actions: bool

Download dividend + stock splits data. Default is False

threads: bool / int

How many threads to use for mass downloading. Default is True

ignore_tz: bool

When combining from different timezones, ignore that part of datetime. Default depends on interval. Intraday = False. Day+ = True.

proxy: str

Optional. Proxy server URL scheme. Default is None

rounding: bool

Optional. Round values to 2 decimal places?

timeout: None or float

If not None stops waiting for a response after given number of seconds. (Can also be a fraction of a second e.g. 0.01)

session: None or Session

Optional. Pass your own session object to be used for all requests

multi_level_index: bool

Optional. Always return a MultiIndex DataFrame? Default is True