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Co-authored-by: jose-donato <zmcdonato@gmail.com>
Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2023-10-30 21:01:29 +00:00

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title, description, keywords
title description keywords
spread The page provides information about two central functions of the OpenBBTerminal: 'spread' and 'spread_chart'. These Python functions are part of the quantitative analysis, analyzing standard deviation, variance and create spread charts. The descriptions include source code, parameters, and return values.
Standard Deviation
Variance
Quantitative Analysis
Rolling model
Spread
Spread chart

import HeadTitle from '@site/src/components/General/HeadTitle.tsx';

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

Standard Deviation and Variance

Source Code: [link]

openbb.qa.spread(data: pd.DataFrame, window: int = 14)

Parameters

Name Type Description Default Optional
data pd.DataFrame DataFrame of targeted data None False
window int Length of window 14 True

Returns

Type Description
Tuple[pd.DataFrame, pd.DataFrame] Dataframe of rolling standard deviation,
Dataframe of rolling variance

Plots rolling spread

Source Code: [link]

openbb.qa.spread_chart(data: pd.DataFrame, target: str, symbol: str = "", window: int = 14, export: str = "", external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None)

Parameters

Name Type Description Default Optional
data pd.DataFrame Dataframe None False
target str Column in data to look at None False
target str Column in data to look at None False
symbol str Stock ticker True
window int Length of window 14 True
export str Format to export data True
external_axes Optional[List[plt.Axes]] External axes (3 axes are expected in the list), by default None None True

Returns

This function does not return anything