Skip to main content
Version: v5

stoch

Calculate the Stochastic Oscillator (%K and %D).

Examples​

from openbb import obb
# Stochastic oscillator on daily TSLA.
data = obb.equity.price.historical(symbol='TSLA', start_date='2023-01-01', provider='fmp').results
stoch = obb.technical.stoch(data=data)
obb.technical.stoch(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}])

Parameters​

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

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

fast_k_period: int
Default: 14
Fast %K lookback.

slow_d_period: int
Default: 3
Slow %D smoothing.

slow_k_period: int
Default: 3
Slow %K smoothing.

Returns​

results: list[StochData]

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​

date: date | datetime | str
Observation date.

k: float
%K — current close vs. recent range.

d: float
%D — moving average of %K.

On this page