Tickers

download()

Fetch price data for many tickers from Yahoo and make user-friendly.

Interface

yf.download(tickers, ...) -> pd.DataFrame

Parameters

Parameter	Description	Default	Valid values
tickers : str, list	List of tickers to download		E.g. "SPY AAPL MSFT", ["SPY", "AAPL", "MSFT"]
interval: str	Limits on intraday data: • 1m = max 7 days within last 30 days • 60m, 1h = max 730 days • else up to 90m = max 60 days	'1d'	1m, 2m, 5m, 15m, 30m, 60m, 90m, 1h, 1d, 5d, 1wk, 1mo, 3mo
period: str	Range duration. Don't mix with start or end	'max'	1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, 5y, 10y, ytd, max
start: str,dt,int	Range start, inclusive	99 years ago (if period=None)	'YYYY-MM-DD', datetime, or epoch
end: str,dt,int	Range end, exclusive	now (if period=None)	'YYYY-MM-DD', datetime, or epoch
prepost: bool	Include Pre and Post market data in results?	False
actions: bool	Include Dividends and Stock Splits in results?	False
auto_adjust: bool	Dividend-adjust all OHLC automatically?	False
back_adjust: bool	Deprecated	False
repair: bool	Detect problems in price data and repair. See Wiki page for details	False
keepna: bool	Keep NaN rows returned by Yahoo?	False
rounding: bool	Optional. Round values using Yahoo-suggested precision?	False
group_by : str	Group by 'ticker' or 'column'	'column'
ignore_tz : bool	When aligning data from different exchanges, ignore different timezones?	False if intraday, else True
threads : bool, int	How many threads to use for mass downloading. True ⇒ CPUs * 2	True
proxy: str	Optional. Proxy server URL scheme.	None
session: Session	Optional. Override default requests session	None
timeout: float,None	Optional. Stop waiting for response after N seconds.	10
progress : bool	Print progress bar.	True

Returns

Pandas DataFrame