undervalued_large_caps
Get potentially undervalued large cap stocks.
Examples
from openbb import obb
obb.equity.discovery.undervalued_large_caps(provider='yfinance')
obb.equity.discovery.undervalued_large_caps(sort='desc', provider='yfinance')
Parameters
- standard
- yfinance
sort: Literal['asc', 'desc']
Sort order. Possible values: 'asc', 'desc'. Default: 'desc'.
• Default: desc
• Optional: True
sort: Literal['asc', 'desc']
Sort order. Possible values: 'asc', 'desc'. Default: 'desc'.
• Default: desc
• Optional: True
limit: int
Limit the number of results.
• Default: 200
• Optional: True
Returns
results: list[EquityUndervaluedLargeCaps]
Serializable results.
provider: Optional[Literal['yfinance']]
Provider name.
warnings: Optional[list[Warning_]]
list of warnings.
chart: Optional[Chart]
Chart object.
extra: dict[str, Any]
Extra info.
Data
- standard
- yfinance
symbol: str
Symbol representing the entity requested in the data.
name: str
Name of the entity.
price: float
Last price.
change: float
Change in price.
percent_change: float
Percent change.
volume: Union[int, float]
The trading volume.
symbol: str
Symbol representing the entity requested in the data.
name: str
Name of the entity.
price: float
Last price.
change: float
Change in price.
percent_change: float
Percent change.
volume: Union[int, float]
The trading volume.
open: float
Open price for the day.
high: float
High price for the day.
low: float
Low price for the day.
previous_close: float
Previous close price.
ma50: float
50-day moving average.
ma200: float
200-day moving average.
year_high: float
52-week high.
year_low: float
52-week low.
market_cap: float
Market Cap.
shares_outstanding: float
Shares outstanding.
book_value: float
Book value per share.
price_to_book: float
Price to book ratio.
eps_ttm: float
Earnings per share over the trailing twelve months.
eps_forward: float
Forward earnings per share.
pe_forward: float
Forward price-to-earnings ratio.
dividend_yield: float
Trailing twelve month dividend yield.
exchange: str
Exchange where the stock is listed.
exchange_timezone: str
Timezone of the exchange.
earnings_date: datetime
Most recent earnings date.
currency: str
Currency of the price data.