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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
skew This documentation page provides details on the function openbb.qa.skew, used for rolling skewness indicator calculations and plotting. It includes parameters description and links to the source code.
Quantitative Analysis
Skewness Indicator
Python Coding
Source Code
Financial Data Analysis
Rolling Skew
Skew Chart
Parameters
Window Length
Stock Ticker
Data Export
External Axes

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

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

Skewness Indicator

Source Code: [link]

openbb.qa.skew(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
pd.DataFrame Dataframe of rolling skew

Plots rolling skew

Source Code: [link]

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

Parameters

Name Type Description Default Optional
symbol str Stock ticker None False
data pd.DataFrame Dataframe None False
target str Column in data to look at None False
window int Length of window 14 True
export str Format to export data True
external_axes Optional[List[plt.Axes]] External axes (2 axes are expected in the list), by default None None True

Returns

This function does not return anything