Ticker and Tickers

Class

The Ticker module, allows you to access ticker data in a Pythonic way.

Ticker(ticker[, session, proxy])
Tickers(tickers[, session])

Ticker Sample Code

The Ticker module, allows you to access ticker data in a Pythonic way.

import yfinance as yf

dat = yf.Ticker("MSFT")

# get historical market data
dat.history(period='1mo')

# options
dat.option_chain(dat.options[0]).calls

# get financials
dat.balance_sheet
dat.quarterly_income_stmt

# dates
dat.calendar

# general info
dat.info

# analysis
dat.analyst_price_targets

To initialize multiple Ticker objects, use

import yfinance as yf

tickers = yf.Tickers('msft aapl goog')

# access each ticker using (example)
tickers.tickers['MSFT'].info
tickers.tickers['AAPL'].history(period="1mo")
tickers.tickers['GOOG'].actions

For tickers that are ETFs/Mutual Funds, Ticker.funds_data provides access to fund related data.

Funds’ Top Holdings and other data with category average is returned as pd.DataFrame.

import yfinance as yf
spy = yf.Ticker('SPY')
data = spy.funds_data

# show fund description
data.description

# show operational information
data.fund_overview
data.fund_operations

# show holdings related information
data.asset_classes
data.top_holdings
data.equity_holdings
data.bond_holdings
data.bond_ratings
data.sector_weightings

If you want to use a proxy server for downloading data, use:

import yfinance as yf

msft = yf.Ticker("MSFT")

msft.history(..., proxy="PROXY_SERVER")
msft.get_actions(proxy="PROXY_SERVER")
msft.get_dividends(proxy="PROXY_SERVER")
msft.get_splits(proxy="PROXY_SERVER")
msft.get_capital_gains(proxy="PROXY_SERVER")
msft.get_balance_sheet(proxy="PROXY_SERVER")
msft.get_cashflow(proxy="PROXY_SERVER")
msft.option_chain(..., proxy="PROXY_SERVER")
...

To initialize multiple Ticker objects, use Tickers module

import yfinance as yf

tickers = yf.Tickers('msft aapl goog')

# access each ticker using (example)
tickers.tickers['MSFT'].info
tickers.tickers['AAPL'].history(period="1mo")
tickers.tickers['GOOG'].actions