The code for the Super Simple Stock exercise is in superSimpleStock.py. Tests and test data are in test/superSimpleStockTest.py and test/sample_data.csv respectively.

Dependencies

• Python 3.x

• Additional modules not in the standard library can be installed with:

pip install python-dateutil
pip install pandas

Usage example

import superSimpleStock

stock= superSimpleStock.Stock('test/sample_data.csv')

stock.get_dividend_yield(stock= 'POP', ticker_price= 3)

stock.get_pe_ratio(stock= 'POP', ticker_price= 3)

stock.record_trade(stock= 'POP', quantity= 10, sold= True, price= 5)
stock.record_trade(stock= 'POP', quantity= 11, sold= True, price= 6)
stock.record_trade(stock= 'POP', quantity= 12, sold= True, price= 7)
print(stock.trade)

stock.get_stock_price('POP')

stock.get_all_share_index()

Run tests

python3 -m unittest test.superSimpleStockTest

If coverage is installed, run tests and report coverage with:

coverage run -m unittest test.superSimpleStockTest
coverage html --include='superSimpleStock*'

Coverage report will be in htmlcov

Or:

coverage report --include='superSimpleStock*'

Name                  Stmts   Miss  Cover
-----------------------------------------
superSimpleStock.py      64      3    95%

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Author: Dario Beraldi

Date: 19/09/2018