PriceHistory class

class yfinance.scrapers.history.PriceHistory(data, ticker, tz, session=None, proxy=None)

get_actions(proxy=None) → Series

get_capital_gains(proxy=None) → Series

get_dividends(proxy=None) → Series

get_history_metadata(proxy=None) → dict

get_splits(proxy=None) → Series

history(period='1mo', interval='1d', start=None, end=None, prepost=False, actions=True, auto_adjust=True, back_adjust=False, repair=False, keepna=False, proxy=None, rounding=False, timeout=10, raise_errors=False) → DataFrame

Parameters:

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”

prepostbool

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

auto_adjust: bool

Adjust all OHLC automatically? Default is True

back_adjust: bool

Back-adjusted data to mimic true historical prices

repair: bool

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

keepna: bool

Keep NaN rows returned by Yahoo? Default is False

proxy: str

Optional. Proxy server URL scheme. Default is None

rounding: bool

Round values to 2 decimal places? Optional. Default is False = precision suggested by Yahoo!

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) Default is 10 seconds.

raise_errors: bool

If True, then raise errors as Exceptions instead of logging.