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2.2 KiB
Vendored
2.2 KiB
Vendored
title, description, keywords
| title | description | keywords | ||||||
|---|---|---|---|---|---|---|---|---|
| ad | This page provides information about how to implement and plot the AD (Accumulation/Distribution Line) technical indicator using OpenBB's Python module. It includes the source code, required parameters, and the outputs from these functions. |
|
import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem';
Calculate AD technical indicator
Source Code: [link]
openbb.ta.ad(data: pd.DataFrame, use_open: bool = False)
Parameters
| Name | Type | Description | Default | Optional |
|---|---|---|---|---|
| data | pd.DataFrame | Dataframe of prices with OHLC and Volume | None | False |
| use_open | bool | Whether to use open prices | False | True |
Returns
| Type | Description |
|---|---|
| pd.DataFrame | Dataframe with technical indicator |
Plots AD technical indicator
Source Code: [link]
openbb.ta.ad_chart(data: pd.DataFrame, use_open: bool = False, symbol: 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 |
| use_open | bool | Whether to use open prices in calculation | False | True |
| symbol | str | Ticker symbol | True | |
| export | str | Format to export data as | 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