hma

Calculate the Hull Moving Average (HMA).

Solves the age old dilemma of making a moving average more responsive to current price activity whilst maintaining curve smoothness. In fact the HMA almost eliminates lag altogether and manages to improve smoothing at the same time.

Examples

from openbb import obb
# Calculate HMA with historical stock data.
stock_data = obb.equity.price.historical(symbol='TSLA', start_date='2023-01-01', provider='fmp')
hma_data = obb.technical.hma(data=stock_data.results, target='close', length=50, offset=0)

Parameters

• standard

data: ForwardRef('Data') | ForwardRef('DataFrame') | ForwardRef('Series') | ForwardRef('ndarray') | dict | list
list of data to be used for the calculation.

target: str
Default: close
Target column name.

index: str
Default: date
Index column name to use with data, by default "date".

length: int
Default: 50
Number of periods for the HMA, by default 50.

offset: int
Default: 0
Offset of the HMA, by default 0.

chart: bool
Default: False
Whether to create a chart or not, by default False.

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Returns

results: list[Data]

Serializable results.

provider: str

Provider name.

warnings: Optional[list[Warning_]]

list of warnings.

chart: Optional[Chart]

Chart object.

extra: dict[str, Any]

Extra info.

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