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* add first iteration of content for Terminal Pro * Update index.md * Update dashboards.md * Update folders.md * Update grouping.md * Update report.md * Update templates.md * Update quick-start.md * Update index.md * Update index.md * Update home.md * Update news.md * Update index.md * Update index.md * Update index.md * Update data-provider.md * Update chat-with-widget.md * Update data-manipulation.md * Update forecasting.md * fix: images self closing tags * fix: only pro visitors can see pro * inter font * improve SEO content and restructuring * add new package for toggle on tutorials * move folder around * improve main page of each prod * small updates and improvements * fix logo above * small improvement in headtitle for portfolio funcs * fix typos from OpenAI's GPT-4 * fix _category_ json * remove generic SEO words * add script that generates SEO for documentation * add missing file * remove sdk warning message * fix links for andrew --------- 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>
1.5 KiB
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1.5 KiB
Vendored
title, description, keywords
| title | description | keywords | ||||||
|---|---|---|---|---|---|---|---|---|
| volatility | The volatility documentation page covers the important use of volatility method for portfolio and benchmark selected using the Python module openbb. Key concepts include usage of PortfolioEngine, DataFrame and function calls. |
|
import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
Get volatility for portfolio and benchmark selected
Source Code: [link]
openbb.portfolio.metric.volatility(portfolio_engine: portfolio_engine.PortfolioEngine)
Parameters
| Name | Type | Description | Default | Optional |
|---|---|---|---|---|
| portfolio_engine | PortfolioEngine | PortfolioEngine class instance, this will hold transactions and perform calculations. Use portfolio.load to create a PortfolioEngine. |
None | False |
Returns
| Type | Description |
|---|---|
| pd.DataFrame | DataFrame with volatility for portfolio and benchmark for different periods |
Examples
from openbb_terminal.sdk import openbb
p = openbb.portfolio.load("openbb_terminal/miscellaneous/portfolio_examples/holdings/example.csv")
output = openbb.portfolio.metric.volatility(p)