mirror of
https://github.com/OpenBB-finance/OpenBB.git
synced 2026-10-31 22:41:19 +00:00
4ad995fdd0
* 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>
3.6 KiB
Vendored
3.6 KiB
Vendored
title, description, keywords
| title | description | keywords | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ma | Comprehensive guide to the ma and ma_chart functions as part of the OpenBB technical analysis python package. These functions focus on plotting the moving average (MA) technical indicator of various types like EMA, ZLMA and SMA for a given time-series data. |
|
import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem';
Plots MA technical indicator
Source Code: [link]
openbb.ta.ma(data: pd.Series, window: List[int] = None, offset: int = 0, ma_type: str = "EMA", symbol: str = "", export: str = "", external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None)
Parameters
| Name | Type | Description | Default | Optional |
|---|---|---|---|---|
| data | pd.Series | Series of prices | None | False |
| window | List[int] | Length of EMA window | None | True |
| offset | int | Offset variable | 0 | True |
| ma_type | str | Type of moving average. Either "EMA" "ZLMA" or "SMA" | EMA | True |
| symbol | str | Ticker | True | |
| export | str | Format to export data | True | |
| external_axes | Optional[List[plt.Axes]] | External axes (1 axis is expected in the list), by default None | None | True |
Returns
This function does not return anything
Examples
from openbb_terminal.sdk import openbb
df = openbb.stocks.load("AAPL")
openbb.ta.ma_chart(data=df["Adj Close"], symbol="AAPL", ma_type="EMA", window=[20, 50, 100])
from openbb_terminal.sdk import openbb
spuk_index = openbb.economy.index(indices = ["^SPUK"])
openbb.ta.ma_chart(data = spuk_index["^SPUK"], symbol = "S&P UK Index", ma_type = "EMA", window = [20, 50, 100])
Plots MA technical indicator
Source Code: [link]
openbb.ta.ma_chart(data: pd.Series, window: List[int] = None, offset: int = 0, ma_type: str = "EMA", symbol: str = "", export: str = "", external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None)
Parameters
| Name | Type | Description | Default | Optional |
|---|---|---|---|---|
| data | pd.Series | Series of prices | None | False |
| window | List[int] | Length of EMA window | None | True |
| offset | int | Offset variable | 0 | True |
| ma_type | str | Type of moving average. Either "EMA" "ZLMA" or "SMA" | EMA | True |
| symbol | str | Ticker | True | |
| export | str | Format to export data | True | |
| external_axes | Optional[List[plt.Axes]] | External axes (1 axis is expected in the list), by default None | None | True |
Returns
This function does not return anything
Examples
from openbb_terminal.sdk import openbb
df = openbb.stocks.load("AAPL")
openbb.ta.ma_chart(data=df["Adj Close"], symbol="AAPL", ma_type="EMA", window=[20, 50, 100])
from openbb_terminal.sdk import openbb
spuk_index = openbb.economy.index(indices = ["^SPUK"])
openbb.ta.ma_chart(data = spuk_index["^SPUK"], symbol = "S&P UK Index", ma_type = "EMA", window = [20, 50, 100])