yfinanceng 0.1.56

股票代码模块

Ticker模块，它允许您访问 股票数据以一种神秘的方式：

importyfinancengasyfmsft=yf.Ticker("MSFT")# get stock infomsft.info# get historical market datahist=msft.history(period="max")# show actions (dividends, splits)msft.actions# show dividendsmsft.dividends# show splitsmsft.splits# show financialsmsft.financialsmsft.quarterly_financials# show major holdersmsft.major_holders# show institutional holdersmsft.institutional_holders# show balance heetmsft.balance_sheetmsft.quarterly_balance_sheet# show cashflowmsft.cashflowmsft.quarterly_cashflow# show earningsmsft.earningsmsft.quarterly_earnings# show sustainabilitymsft.sustainability# show analysts recommendationsmsft.recommendations# show next event (earnings, etc)msft.calendar# show ISIN code - *experimental*# ISIN = International Securities Identification Numbermsft.isin# show options expirationsmsft.options# get option chain for specific expirationopt=msft.option_chain('YYYY-MM-DD')# data available via: opt.calls, opt.puts

如果要使用代理服务器下载数据，请使用：

要初始化多个Ticker对象，请使用

importyfinancengasyftickers=yf.Tickers('msft aapl goog')# ^ returns a named tuple of Ticker objects# access each ticker using (example)tickers.msft.infotickers.aapl.history(period="1mo")tickers.goog.actions

正在获取多个tickers的数据

importyfinancengasyfdata=yf.download("SPY AAPL",start="2017-01-01",end="2017-04-30")

我还添加了一些选项，让生活更轻松：）

data=yf.download(# or pdr.get_data_yahoo(...# tickers list or string as welltickers="SPY AAPL MSFT",# use "period" instead of start/end# valid periods: 1d,5d,1mo,3mo,6mo,1y,2y,5y,10y,ytd,max# (optional, default is '1mo')period="ytd",# fetch data by interval (including intraday if period < 60 days)# valid intervals: 1m,2m,5m,15m,30m,60m,90m,1h,1d,5d,1wk,1mo,3mo# (optional, default is '1d')interval="1m",# group by ticker (to access via data['SPY'])# (optional, default is 'column')group_by='ticker',# adjust all OHLC automatically# (optional, default is False)auto_adjust=True,# download pre/post regular market hours data# (optional, default is False)prepost=True,# use threads for mass downloading? (True/False/Integer)# (optional, default is True)threads=True,# proxy URL scheme use use when downloading?# (optional, default is None)proxy=None)

pandas_datareaderoverride

如果您的代码使用pandas_datareader，并且您想更快地下载数据， 您可以“劫持”pandas_datareader.data.get_data_yahoo()方法来使用 yfinanceng同时确保返回的数据的格式与 pandas\u datareader的get_data_yahoo()。在

frompandas_datareaderimportdataaspdrimportyfinancengasyfyf.pdr_override()# <== that's all it takes :-)# download dataframedata=pdr.get_data_yahoo("SPY",start="2017-01-01",end="2017-04-30")