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Merged
merged 9 commits into from
Oct 23, 2023

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Berat-O
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@Berat-O Berat-O commented Oct 1, 2023

This commit adds a Python script for calculating the Simple Moving Average (SMA) of a time series data.

The script also includes a doctest that verifies the correctness of the SMA calculations for a sample dataset.

Usage:

  • Run the script with your own time series data and specify the window size for SMA calculations.

Describe your change:

  • Add an algorithm?
  • Fix a bug or typo in an existing algorithm?
  • Documentation change?

Checklist:

  • I have read CONTRIBUTING.md.
  • This pull request is all my own work -- I have not plagiarized.
  • I know that pull requests will not be merged if they fail the automated tests.
  • This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
  • All new Python files are placed inside an existing directory.
  • All filenames are in all lowercase characters with no spaces or dashes.
  • All functions and variable names follow Python naming conventions.
  • All function parameters and return values are annotated with Python type hints.
  • All functions have doctests that pass the automated testing.
  • All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
  • If this pull request resolves one or more open issues then the description above includes the issue number(s) with a closing keyword: "Fixes #ISSUE-NUMBER".

This commit adds a Python script for calculating the Simple Moving Average (SMA) of a time series data.

The script also includes a doctest that verifies the correctness of the SMA calculations for a sample dataset.

Usage:
- Run the script with your own time series data and specify the window size for SMA calculations.
@algorithms-keeper algorithms-keeper bot added the awaiting reviews This PR is ready to be reviewed label Oct 1, 2023
@Berat-O
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Berat-O commented Oct 4, 2023

Hey can any of the admins review this, all tests have been passed.

@algorithms-keeper algorithms-keeper bot added the tests are failing Do not merge until tests pass label Oct 23, 2023
@algorithms-keeper algorithms-keeper bot removed the tests are failing Do not merge until tests pass label Oct 23, 2023
@algorithms-keeper algorithms-keeper bot added tests are failing Do not merge until tests pass and removed tests are failing Do not merge until tests pass labels Oct 23, 2023
@tianyizheng02 tianyizheng02 merged commit d051db1 into TheAlgorithms:master Oct 23, 2023
@algorithms-keeper algorithms-keeper bot removed the awaiting reviews This PR is ready to be reviewed label Oct 23, 2023
@tianyizheng02
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Thanks for your contribution!

@Berat-O
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Berat-O commented Oct 23, 2023

You're welcome! I'm happy to be able to contribute.

sedatguzelsemme pushed a commit to sedatguzelsemme/Python that referenced this pull request Sep 15, 2024
* Add Simple Moving Average (SMA) Calculation

This commit adds a Python script for calculating the Simple Moving Average (SMA) of a time series data.

The script also includes a doctest that verifies the correctness of the SMA calculations for a sample dataset.

Usage:
- Run the script with your own time series data and specify the window size for SMA calculations.

* Update financial/simple_moving_average.py

Co-authored-by: Tianyi Zheng <[email protected]>

* Update financial/simple_moving_average.py

Co-authored-by: Tianyi Zheng <[email protected]>

* Update financial/simple_moving_average.py

Co-authored-by: Tianyi Zheng <[email protected]>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Update simple_moving_average.py

* Update financial/simple_moving_average.py

* Update simple_moving_average.py

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Co-authored-by: Tianyi Zheng <[email protected]>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
@isidroas isidroas mentioned this pull request Jan 25, 2025
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2 participants