---
title: stoch
description: Learn about the Stochastic Oscillator and its calculation. Understand
  the parameters, returns, and see examples of how to use it with OpenBB. Improve
  your page's SEO with this well-researched content.
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- fast %K period
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---


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import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';

Stochastic Oscillator.

The Stochastic Oscillator measures where the close is in relation
to the recent trading range. The values range from zero to 100. %D values over 75
indicate an overbought condition; values under 25 indicate an oversold condition.
When the Fast %D crosses above the Slow %D, it is a buy signal; when it crosses
below, it is a sell signal. The Raw %K is generally considered too erratic to use
for crossover signals.

Parameters
----------
data : List[Data]
The data to use for the Stochastic Oscillator calculation.
index : str, optional
Index column name to use with `data`, by default "date".
fast_k_period : NonNegativeInt, optional
The fast %K period, by default 14.
slow_d_period : NonNegativeInt, optional
The slow %D period, by default 3.
slow_k_period : NonNegativeInt, optional
The slow %K period, by default 3.

Returns
-------
OBBject[List[Data]]
The Stochastic Oscillator data.

Examples
--------
```python
from openbb import obb
stock_data = obb.equity.price.historical(symbol="TSLA", start_date="2023-01-01", provider="fmp")
stoch_data = obb.technical.stoch(data=stock_data.results, fast_k_period=14, slow_d_period=3, slow_k_period=3)
```


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## Parameters

This function does not take standardized parameters.

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## Returns

This function does not return a standardized model

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