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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>
42 lines
961 B
Markdown
Vendored
42 lines
961 B
Markdown
Vendored
---
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title: ugs
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description: This page details the UGS function, which identifies stocks with excellent
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earnings growth rates and relatively low PE and PEG ratios, thus helping to discover
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undervalued stocks. Source code is also provided.
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keywords:
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- ugs function
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- stock discovery
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- earnings growth rate
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- PE ratio
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- PEG ratio
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- undervalued stocks
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- yahoofinance model
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---
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import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
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<HeadTitle title="stocks.disc.ugs - Reference | OpenBB SDK Docs" />
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Get stocks with earnings growth rates better than 25% and relatively low PE and PEG ratios.
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Source Code: [[link](https://github.com/OpenBB-finance/OpenBBTerminal/tree/main/openbb_terminal/stocks/discovery/yahoofinance_model.py#L54)]
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```python
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openbb.stocks.disc.ugs()
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```
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---
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## Parameters
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This function does not take any parameters.
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---
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## Returns
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| Type | Description |
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| ---- | ----------- |
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| pd.DataFrame | Undervalued stocks |
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---
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