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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>
2.5 KiB
Vendored
2.5 KiB
Vendored
title, description, keywords
| title | description | keywords | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| vwap | This documentation page provides detailed information about the volume weighted average price, or VWAP, a popular technical analysis indicator. It includes Python code examples for calculating VWAP on a pandas DataFrame of stocks prices, and creating a visual chart of VWAP data using matplotlib. |
|
import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem';
Gets volume weighted average price (VWAP)
Source Code: [link]
openbb.ta.vwap(data: pd.DataFrame, offset: int = 0)
Parameters
| Name | Type | Description | Default | Optional |
|---|---|---|---|---|
| data | pd.DataFrame | Dataframe of dates and prices | None | False |
| offset | int | Length of offset | 0 | True |
Returns
| Type | Description |
|---|---|
| pd.DataFrame | Dataframe with VWAP data |
Plots VWMA technical indicator
Source Code: [link]
openbb.ta.vwap_chart(data: pd.DataFrame, symbol: str = "", start_date: Optional[str] = None, end_date: Optional[str] = None, offset: int = 0, interval: str = "", export: str = "", external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None)
Parameters
| Name | Type | Description | Default | Optional |
|---|---|---|---|---|
| data | pd.DataFrame | Dataframe of OHLC prices | None | False |
| symbol | str | Ticker | True | |
| offset | int | Offset variable | 0 | True |
| start_date | Optional[str] | Initial date, format YYYY-MM-DD | None | True |
| end_date | Optional[str] | Final date, format YYYY-MM-DD | None | True |
| interval | str | Interval of data | 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