zlma

Calculate the zero lag exponential moving average (ZLEMA).

Created by John Ehlers and Ric Way. The idea is do a regular exponential moving average (EMA) calculation but on a de-lagged data instead of doing it on the regular data. Data is de-lagged by removing the data from "lag" days ago thus removing (or attempting to) the cumulative effect of the moving average.

Parameters

• standard

data: list[openbb_core.provider.abstract.data.Data]

list of data to be used for the calculation.

• Optional: False

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target: str

Target column name.

• Default: close

• Optional: True

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index: str

Index column name to use with data, by default 'date'.

• Default: date

• Optional: True

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length: int

Number of periods to be used for the calculation, by default 50.

• Default: 50

• Optional: True

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offset: int

Offset to be used for the calculation, by default 0.

• Optional: True

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Returns

results: list[Data]

Serializable results.

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provider: None

Provider name.

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warnings: Optional[list[Warning_]]

list of warnings.

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chart: Optional[Chart]

Chart object.

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extra: dict[str, Any]

Extra info.

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