active
Get the most active ETFs.
Examples
from openbb import obb
# Get the most active ETFs.
obb.etf.discovery.active()
Parameters
- standard
- wsj
sort: Literal['asc', 'desc'] | None
Default: desc
Sort order. Possible values: 'asc', 'desc'. Default: 'desc'.
limit: int | None
Default: 10
The number of data entries to return.
sort: Literal['asc', 'desc'] | None
Default: desc
Sort order. Possible values: 'asc', 'desc'. Default: 'desc'.
limit: int | None
Default: 10
The number of data entries to return.
Returns
results: ETFActive
Serializable results.
provider: Optional[Literal['wsj']]
Provider name.
warnings: Optional[list[Warning_]]
list of warnings.
chart: Optional[Chart]
Chart object.
extra: dict[str, Any]
Extra info.
Data
- standard
- wsj
symbol: str
Symbol representing the entity requested in the data.
name: str
Name of the entity.
last_price: float
Last price.
percent_change: float
Percent change.
net_change: float
Net change.
volume: float
The trading volume.
date: date | str
The date of the data.
symbol: str
Symbol representing the entity requested in the data.
name: str
Name of the entity.
last_price: float
Last price.
percent_change: float
Percent change.
net_change: float
Net change.
volume: float
The trading volume.
date: date | str
The date of the data.
country: str
Country of the entity.
mantissa: int
Mantissa.
type: str
Type of the entity.
formatted_price: str
Formatted price.
formatted_volume: str
Formatted volume.
formatted_price_change: str
Formatted price change.
formatted_percent_change: str
Formatted percent change.
url: str
The source url.