tema

Calculate Patrick Mulloy's Triple Exponential Moving Average.

Examples

from openbb import obb
obb.technical.tema(data=[{'date': '2023-01-02', 'open': 110.0, 'high': 120.0, 'low': 100.0, 'close': 115.0, 'volume': 10000.0}, {'date': '2023-01-03', 'open': 165.0, 'high': 180.0, 'low': 150.0, 'close': 172.5, 'volume': 15000.0}, {'date': '2023-01-04', 'open': 146.67, 'high': 160.0, 'low': 133.33, 'close': 153.33, 'volume': 13333.33}, {'date': '2023-01-05', 'open': 137.5, 'high': 150.0, 'low': 125.0, 'close': 143.75, 'volume': 12500.0}, {'date': '2023-01-06', 'open': 132.0, 'high': 144.0, 'low': 120.0, 'close': 138.0, 'volume': 12000.0}], length=3)

Parameters

• standard

data: Data | DataFrame | Series | dict | list | list[DataFrame] | list[Data] | list[Series] | ndarray
Price series.

target: str
Default: close
Column to smooth, by default "close".

index: str
Default: date
Index column name in data, by default "date".

length: int
Default: 10
TEMA period.

offset: int
Default: 0
Output offset; positive values shift the series forward, by default 0.

---

Returns

results: list[TemaData]

Serializable results.

provider: str

Provider name.

warnings: Optional[list[Warning_]]

List of warnings.

chart: Optional[Chart]

Chart object.

extra: dict[str, Any]

Extra info.

---

Data

• standard

date: date | datetime | str
Observation date.

tema: float
Triple EMA — 3*EMA - 3*EMA(EMA) + EMA(EMA(EMA)).