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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>
1.6 KiB
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1.6 KiB
Vendored
title, description, keywords
| title | description | keywords | |||||
|---|---|---|---|---|---|---|---|
| bench | This page discusses the 'bench' function, part of the OpenBB Terminal, which allows users to load benchmarks into their portfolio. It provides details on the parameters, method of application, and examples utilizing Python for portfolio management. |
|
import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
Load benchmark into portfolio
Source Code: [link]
openbb.portfolio.bench(portfolio_engine: portfolio_engine.PortfolioEngine, symbol: str, full_shares: bool = False)
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 |
| symbol | str | Benchmark symbol to download data | None | False |
| full_shares | bool | Whether to mimic the portfolio trades exactly (partial shares) or round down the quantity to the nearest number |
False | True |
Returns
This function does not return anything
Examples
from openbb_terminal.sdk import openbb
p = openbb.portfolio.load("openbb_terminal/miscellaneous/portfolio_examples/holdings/example.csv")
output = openbb.portfolio.bench(p, symbol="SPY")