yfinance.Ticker#

class yfinance.Ticker(ticker, session=None, proxy=None)#

Attributes

`actions`
`analyst_price_targets`
`balance_sheet`
`balancesheet`
`basic_info`
`calendar`	Returns a dictionary of events, earnings, and dividends for the ticker
`capital_gains`
`cash_flow`
`cashflow`
`dividends`
`earnings`
`earnings_dates`
`earnings_estimate`
`earnings_history`
`eps_revisions`
`eps_trend`
`fast_info`
`financials`
`funds_data`
`growth_estimates`
`history_metadata`
`income_stmt`
`incomestmt`
`info`
`insider_purchases`
`insider_roster_holders`
`insider_transactions`
`institutional_holders`
`isin`
`major_holders`
`mutualfund_holders`
`news`
`options`
`quarterly_balance_sheet`
`quarterly_balancesheet`
`quarterly_cash_flow`
`quarterly_cashflow`
`quarterly_earnings`
`quarterly_financials`
`quarterly_income_stmt`
`quarterly_incomestmt`
`recommendations`
`recommendations_summary`
`revenue_estimate`
`sec_filings`
`shares`
`splits`
`sustainability`
`upgrades_downgrades`

Methods

`__init__`(ticker[, session, proxy])
`get_actions`([proxy])
`get_analyst_price_targets`([proxy])	Keys: current low high mean median
`get_balance_sheet`([proxy, as_dict, pretty, freq])
`get_balancesheet`([proxy, as_dict, pretty, freq])
`get_calendar`([proxy])
`get_capital_gains`([proxy])
`get_cash_flow`([proxy, as_dict, pretty, freq])
`get_cashflow`([proxy, as_dict, pretty, freq])
`get_dividends`([proxy])
`get_earnings`([proxy, as_dict, freq])
`get_earnings_dates`([limit, proxy])	Get earning dates (future and historic)
`get_earnings_estimate`([proxy, as_dict])	Index: 0q +1q 0y +1y Columns: numberOfAnalysts avg low high yearAgoEps growth
`get_earnings_history`([proxy, as_dict])	Index: pd.DatetimeIndex Columns: epsEstimate epsActual epsDifference surprisePercent
`get_eps_revisions`([proxy, as_dict])	Index: 0q +1q 0y +1y Columns: upLast7days upLast30days downLast7days downLast30days
`get_eps_trend`([proxy, as_dict])	Index: 0q +1q 0y +1y Columns: current 7daysAgo 30daysAgo 60daysAgo 90daysAgo
`get_fast_info`([proxy])
`get_financials`([proxy, as_dict, pretty, freq])
`get_funds_data`([proxy])
`get_growth_estimates`([proxy, as_dict])	Index: 0q +1q 0y +1y +5y -5y Columns: stock industry sector index
`get_history_metadata`([proxy])
`get_income_stmt`([proxy, as_dict, pretty, freq])
`get_incomestmt`([proxy, as_dict, pretty, freq])
`get_info`([proxy])
`get_insider_purchases`([proxy, as_dict])
`get_insider_roster_holders`([proxy, as_dict])
`get_insider_transactions`([proxy, as_dict])
`get_institutional_holders`([proxy, as_dict])
`get_isin`([proxy])
`get_major_holders`([proxy, as_dict])
`get_mutualfund_holders`([proxy, as_dict])
`get_news`([proxy])
`get_recommendations`([proxy, as_dict])	Returns a DataFrame with the recommendations Columns: period strongBuy buy hold sell strongSell
`get_recommendations_summary`([proxy, as_dict])
`get_revenue_estimate`([proxy, as_dict])	Index: 0q +1q 0y +1y Columns: numberOfAnalysts avg low high yearAgoRevenue growth
`get_sec_filings`([proxy])
`get_shares`([proxy, as_dict])
`get_shares_full`([start, end, proxy])
`get_splits`([proxy])
`get_sustainability`([proxy, as_dict])
`get_upgrades_downgrades`([proxy, as_dict])	Returns a DataFrame with the recommendations changes (upgrades/downgrades) Index: date of grade Columns: firm toGrade fromGrade action
`history`(args, *kwargs)
`option_chain`([date, tz])