Config

systematica.portfolio.schedulers.config

WorkflowConfig

WorkflowConfig(
    **data: Any,
)

Main strategy configuration.

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

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors

• pydantic.main.BaseModel

Class variables

• meta: systematica.portfolio.schedulers.config.Meta: Metadata configuration.

• loader: systematica.portfolio.schedulers.config.Loader: Loader specific configuration.

• loader_params: Dict[str, Any]: Loader parameters.

• model: systematica.portfolio.schedulers.config.Model: Model specific configuration.

• model_params: Dict[str, Any]: Model parameters.

• signal: systematica.portfolio.schedulers.config.Signal: Signal specific configuration.

• portfolio: Dict[str, Any]: Portfolio specific configuration.

• model_config: The type of the None singleton.

Static methods

from_template

from_template(
    path: pathlib._local.Path,
    template: str,
) ‑> systematica.portfolio.schedulers.config.WorkflowConfig

Get configuration from TOML file name.

Parameters:

Name	Type	Default	Description
path	Path	--	Path to the templates.
template	str	--	The name of the strategy. It will load a toml file located in systematica/workflow/templates

Returns:

Type	Description
Config	Valided Config instance.

from_all_templates

from_all_templates(
    path: pathlib._local.Path,
) ‑> Dict[str, systematica.portfolio.schedulers.config.WorkflowConfig]

Get configuration from TOML file name. Ignore test template.

Parameters:

Name	Type	Default	Description
path	Path	--	Path to the templates.

Returns:

Type	Description
Config	Validated Config instance.

Instance variables

• params: Dict[str, Any]: All parameters needed to run scheduler.