Euro Short Term Rate

---

Implementation details

Class names

Model name	Parameters class	Data class
EuroShortTermRate	EuroShortTermRateQueryParams	EuroShortTermRateData

Import Statement

from openbb_core.provider.standard_models.euro_short_term_rate import (
EuroShortTermRateData,
EuroShortTermRateQueryParams,
)

---

Parameters

• standard
• fred

Name	Type	Description	Default	Optional
start_date	Union[date, str]	Start date of the data, in YYYY-MM-DD format.	None	True
end_date	Union[date, str]	End date of the data, in YYYY-MM-DD format.	None	True
provider	Literal['fred']	The provider to use, by default None. If None, the priority list configured in the settings is used. Default priority: fred.	None	True

Name	Type	Description	Default	Optional
start_date	Union[date, str]	Start date of the data, in YYYY-MM-DD format.	None	True
end_date	Union[date, str]	End date of the data, in YYYY-MM-DD format.	None	True
provider	Literal['fred']	The provider to use, by default None. If None, the priority list configured in the settings is used. Default priority: fred.	None	True
frequency	Literal['a', 'q', 'm', 'w', 'wef', 'weth', 'wew', 'wetu', 'wem', 'wesu', 'wesa', 'bwew', 'bwem']	Frequency aggregation to convert daily data to lower frequency. a = Annual q = Quarterly m = Monthly w = Weekly wef = Weekly, Ending Friday weth = Weekly, Ending Thursday wew = Weekly, Ending Wednesday wetu = Weekly, Ending Tuesday wem = Weekly, Ending Monday wesu = Weekly, Ending Sunday wesa = Weekly, Ending Saturday bwew = Biweekly, Ending Wednesday bwem = Biweekly, Ending Monday	None	True
aggregation_method	Literal['avg', 'sum', 'eop']	A key that indicates the aggregation method used for frequency aggregation. avg = Average sum = Sum eop = End of Period	None	True
transform	Literal['chg', 'ch1', 'pch', 'pc1', 'pca', 'cch', 'cca', 'log']	Transformation type None = No transformation chg = Change ch1 = Change from Year Ago pch = Percent Change pc1 = Percent Change from Year Ago pca = Compounded Annual Rate of Change cch = Continuously Compounded Rate of Change cca = Continuously Compounded Annual Rate of Change log = Natural Log	None	True

---

Data

• standard
• fred

Name	Type	Description
date	date	The date of the data.
rate	float	Volume-weighted trimmed mean rate.
percentile_25	float	Rate at 25th percentile of volume.
percentile_75	float	Rate at 75th percentile of volume.
volume	float	The trading volume. (Millions of €EUR).
transactions	int	Number of transactions.
number_of_banks	int	Number of active banks.
large_bank_share_of_volume	float	The percent of volume attributable to the 5 largest active banks.

Name	Type	Description
date	date	The date of the data.
rate	float	Volume-weighted trimmed mean rate.
percentile_25	float	Rate at 25th percentile of volume.
percentile_75	float	Rate at 75th percentile of volume.
volume	float	The trading volume. (Millions of €EUR).
transactions	int	Number of transactions.
number_of_banks	int	Number of active banks.
large_bank_share_of_volume	float	The percent of volume attributable to the 5 largest active banks.