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* fix(docs): added margin between sections * feat: removed unused files; updated ga * fix: juan stuff doesnt work * fix: random fix * moon at noon * fix: update docusaurus config * Update controller_doc_classes.py * fix: temp fix * fix: temp fix * Update controller_doc_classes.py * fix: remove old content * fix: taggfix * init * fix: styling and moved file * Update generate_terminal_markdown.py * fix: removed unused images * fix: port new files * Update generate_sdk_markdown.py * Update controller_doc_classes.py Co-authored-by: teh_coderer <me@tehcoderer.com>
2.0 KiB
Vendored
2.0 KiB
Vendored
title, description
| title | description |
|---|---|
| coint | OpenBB SDK Function |
import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem';
coint
Calculate cointegration tests between variable number of input series
Source Code: [link]
openbb.econometrics.coint(datasets: pd.Series, return_z: bool = False)
Parameters
| Name | Type | Description | Default | Optional |
|---|---|---|---|---|
| datasets | pd.Series | Input series to test cointegration for | None | False |
| return_z | bool | Flag to return the z data to plot | False | True |
Returns
| Type | Description |
|---|---|
| Union[pd.DataFrame,Dict] | Dataframe with results of cointegration tests or a Dict of the z results |
Estimates long-run and short-run cointegration relationship for series y and x and apply
Source Code: [link]
openbb.econometrics.coint_chart(datasets: pd.Series, significant: bool = False, plot: bool = True, export: str = "", external_axes: Optional[List[axes]] = None)
Parameters
| Name | Type | Description | Default | Optional |
|---|---|---|---|---|
| datasets | pd.Series | Variable number of series to test for cointegration | None | False |
| significant | float | Show only companies that have p-values lower than this percentage | False | True |
| plot | bool | Whether you wish to plot the z-values of all pairs. | True | True |
| export | str | Format to export data | True | |
| external_axes | Optional[List[plt.axes]] | External axes to plot on | None | True |
Returns
This function does not return anything