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Add Simple Moving Average (SMA) Calculation #9300
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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.
Hey can any of the admins review this, all tests have been passed. |
tianyizheng02
requested changes
Oct 22, 2023
Co-authored-by: Tianyi Zheng <[email protected]>
Co-authored-by: Tianyi Zheng <[email protected]>
Co-authored-by: Tianyi Zheng <[email protected]>
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tianyizheng02
approved these changes
Oct 23, 2023
Thanks for your contribution! |
You're welcome! I'm happy to be able to contribute. |
sedatguzelsemme
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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>
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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:
Describe your change:
Checklist: