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* Update generate_terminal_markdown.py * updates * update workflows * Automated Change * tests * tests * Automated Change * Update test_generate_docs.py * Automated Change * updates * Automated Change * Update gen-docs.yml * Update test.yml * Automated Change * Update test.yml * Automated Change * Update generate_sdk_markdown.py * Automated Change * test * Automated Change * testtt23 * Automated Change * Update generate_sdk_markdown.py * Automated Change * Automated Change * added empting reference folders before autogen docs * updates * Automated Change * update tests gitactions * Automated Change * up * Automated Change * Automated Change * update pytest * Automated Change * tests * Automated Change * examples update * Automated Change * Update generate_sdk_markdown.py * Automated Change * Update test.yml * Update generate_sdk_markdown.py * strip * Automated Change * Workflow : check test update * Automated Change * Automated Change * Automated Change * Update test.yml * Automated Change * Update test.yml * Automated Change * Automated Change * up * Automated Change * Update generate_sdk_markdown.py * Automated Change * update workflows * fix guides * testing * Update gh-pages.yml * Update gh-pages.yml Co-authored-by: tehcoderer <tehcoderer@users.noreply.github.com> Co-authored-by: Jeroen Bouma <jer.bouma@gmail.com> Co-authored-by: Chavithra PARANA <chavithra@gmail.com> Co-authored-by: Chavithra <Chavithra@users.noreply.github.com> Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com> Co-authored-by: jose-donato <jose-donato@users.noreply.github.com>
98 lines
2.1 KiB
Markdown
Vendored
98 lines
2.1 KiB
Markdown
Vendored
---
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title: clenow
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description: OpenBB SDK Function
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---
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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# clenow
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<Tabs>
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<TabItem value="model" label="Model" default>
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Gets the Clenow Volatility Adjusted Momentum. this is defined as the regression coefficient on log prices
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Source Code: [[link](https://github.com/OpenBB-finance/OpenBBTerminal/tree/main/openbb_terminal/common/technical_analysis/momentum_model.py#L207)]
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```python
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openbb.ta.clenow(values: pd.Series, window: int = 90)
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```
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---
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## Parameters
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| Name | Type | Description | Default | Optional |
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| ---- | ---- | ----------- | ------- | -------- |
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| values | pd.Series | Values to perform regression for | None | False |
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| window | int | Length of lookback period | 90 | True |
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---
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## Returns
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| Type | Description |
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| ---- | ----------- |
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| | R2 of fit to log data |
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---
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## Examples
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```python
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from openbb_terminal.sdk import openbb
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df = openbb.stocks.load("AAPL")
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openbb.ta.clenow(df["Close"])
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```
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---
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</TabItem>
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<TabItem value="view" label="Chart">
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Prints table and plots clenow momentum
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Source Code: [[link](https://github.com/OpenBB-finance/OpenBBTerminal/tree/main/openbb_terminal/common/technical_analysis/momentum_view.py#L570)]
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```python
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openbb.ta.clenow_chart(data: pd.Series, symbol: str = "", window: int = 90, export: str = "", external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None)
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```
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---
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## Parameters
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| Name | Type | Description | Default | Optional |
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| ---- | ---- | ----------- | ------- | -------- |
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| data | pd.Series | Series of values | None | False |
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| symbol | str | Symbol that the data corresponds to | | True |
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| window | int | Length of window | 90 | True |
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| export | str | Format to export data | | True |
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| external_axes | Optional[List[plt.Axes]] | External axes (2 axes are expected in the list), by default None | None | True |
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---
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## Returns
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This function does not return anything
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---
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## Examples
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```python
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from openbb_terminal.sdk import openbb
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df = openbb.stocks.load("AAPL")
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openbb.ta.clenow_chart(df["Close"])
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```
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---
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</TabItem>
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</Tabs> |