sdk.lusid.models.aggregated_returns_dispersion_request.AggregatedReturnsDispersionRequest

class AggregatedReturnsDispersionRequest(**data)[source]

The request used in the AggregatedReturnsDispersionMetric. # noqa: E501

Create a new model by parsing and validating input data from keyword arguments.

Raises ValidationError if the input data cannot be parsed to form a valid model.

Attributes

This is a Pydantic class. For now, click on the green [source] link in the class signature above to see descriptions/allowed values for these attributes.

to_effective_at

years_count

return_ids

recipe_id

composite_method

alternative_inception_date

class Config[source]

Pydantic configuration

classmethod from_dict(obj)[source]

Create an instance of AggregatedReturnsDispersionRequest from a dict

Return type:

AggregatedReturnsDispersionRequest

classmethod from_json(json_str)[source]

Create an instance of AggregatedReturnsDispersionRequest from a JSON string

Return type:

AggregatedReturnsDispersionRequest

to_dict()[source]

Returns the dictionary representation of the model using alias

classmethod to_effective_at_validate_regular_expression(value)[source]

Validates the regular expression

to_json()[source]

Returns the JSON representation of the model using alias

Return type:

str

to_str()[source]

Returns the string representation of the model using alias

Return type:

str