* 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 <tianyizheng02@gmail.com>
* Update financial/simple_moving_average.py
Co-authored-by: Tianyi Zheng <tianyizheng02@gmail.com>
* Update financial/simple_moving_average.py
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* Update simple_moving_average.py
* Update financial/simple_moving_average.py
* Update simple_moving_average.py
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* Adds exponential moving average algorithm
* code clean up
* spell correction
* Modifies I/O types of function
* Replaces generator function
* Resolved mypy type error
* readibility of code and documentation
* Update exponential_moving_average.py
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Co-authored-by: Christian Clauss <cclauss@me.com>
* Added apr_interest function to financial
* Update interest.py
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* Update financial/interest.py
* float
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* Added an algorithm to calculate the present value of cash flows
* added doctest and reference
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* Resolving deprecation issues with typing module
* Fixing argument type checks and adding doctest case
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* Fixing failing doctest case by requiring less precision due to floating point inprecision
* Updating return type
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* Added test cases for more coverage
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* Make improvements based on Rohan's suggestions
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* Update financial/present_value.py
Committed first suggestion
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* Update financial/present_value.py
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* Update financial/present_value.py
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* Calculate GST Amount
The program helps to get the net amount after GST is added to it.
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* Update financial/calculating GST.py
Thanks!
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* Update and rename calculating GST.py to price_plus_tax.py
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* Update price_plus_tax.py
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* Financial: principle -> principal
The originally invested amount of money: `principal`
-- https://www.grammarly.com/blog/principle-principal/
* updating DIRECTORY.md
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