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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>
1.0 KiB
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1.0 KiB
Vendored
title, description
| title | description |
|---|---|
| ema | OpenBB Terminal Function |
ema
The Exponential Moving Average is a staple of technical analysis and is used in countless technical indicators. In a Simple Moving Average, each value in the time period carries equal weight, and values outside of the time period are not included in the average. However, the Exponential Moving Average is a cumulative calculation, including all data. Past values have a diminishing contribution to the average, while more recent values have a greater contribution. This method allows the moving average to be more responsive to changes in the data.
Usage
ema [-l N_LENGTH] [-o N_OFFSET]
Parameters
| Name | Description | Default | Optional | Choices |
|---|---|---|---|---|
| n_length | Window lengths. Multiple values indicated as comma separated values. | 20, 50 | True | None |
| n_offset | offset | 0 | True | range(0, 100) |
