whykay 0.1.0

Python toolstack for helper functions and efficient connectivity

WhyKay

The concept is to have a personal toolbar that contains all the handy functions that support efficient python software engineering workflows, connectivity to cloud, navigating file systems, parsing date/time formats and pushing notifications to different platforms.

v0.1.0 is now available with the feature to calculate the stock exposure through your ETFs and stock portfolio

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Installation

To run the code successfully, all the dependencies can either be installed using pip:

pip install whykay

Cloning repository for contributions

To run the code successfully, all the dependencies can either be installed using pip:

pip install -r requirements.txt

or use the pre-define Makefile targets

make setup

Features (Usage/Examples)

Investments (Stock exposure calculator)

Available for use from v0.1.0

>>> from whykay.investments.portfolio_analyzer import calculate_exposure
╔══════════════════════════════════════════════════════════════════════════════════════════════════════════════════════╗
║                                               WhyKay import successful                                               ║
╚══════════════════════════════════════════════════════════════════════════════════════════════════════════════════════╝
Launching Portfolio Analyzer

 1 This only works on ETFs or Stocks (Individual shares) based portfolio
 2 Will ignore any other investment holdings that you pass
 3 It takes in input in form of a {ISIN: AMOUNT INVESTED, ...} where ISIN uniquely idenfies a holding

>>> calculate_exposure({"IE00B3XXRP09": 500, "US0378331005": 200})
+----+----------+-----------------------+--------------------+
|    | symbol   |   Amount Invested ($) |   Overall Exposure |
|----+----------+-----------------------+--------------------|
|  0 | AAPL     |              229.5500 |            32.7929 |
|  1 | MSFT     |               28.1000 |             4.0143 |
|  2 | AMZN     |               20.3000 |             2.9000 |
|  3 | FB       |               11.4500 |             1.6357 |
|  4 | GOOGL    |               10.1000 |             1.4429 |
|  5 | GOOG     |                9.8500 |             1.4071 |
|  6 | BRK.B    |                7.2500 |             1.0357 |
|  7 | TSLA     |                7.2000 |             1.0286 |
|  8 | NVDA     |                6.8500 |             0.9786 |
|  9 | JPM      |                6.5000 |             0.9286 |
+----+----------+-----------------------+--------------------+

Authors

• Yasir Khalid