Good Morning (morningstar) is a simple Python module for downloading fundamental financial data from financials.morningstar.com. It will work as long as the structure of the responses from financials.morningstar.com do not change.
Prerequisites:
Good Morning is intended to be used as an extension to QSToolKit (QSTK) library. By using QSTK you can easily download historical stock market data from Yahoo Finance. You can also download fundamental financial data from Compustat. However, most individuals and institutions do not have access to Compustat. Good Morning attempts to mitigate this limitation by providing a very simple Python interface for downloading fundamental financial data from financials.morningstar.com.
import good_morning as gm
kr = gm.KeyRatiosDownloader()
kr_frames = kr.download('AAPL')The variable kr_frames now holds an array of pandas.DataFrames containing the key ratios for the morningstar ticker AAPL.
print kr_frames[0]Outputs:
Period 2005 2006 2007 ...
Key Financials USD ...
Revenue USD Mil 13931.00 19315.00 24006.00 ...
Gross Margin % 29.00 29.00 34.00 ...
Operating Income USD Mil 1650.00 2453.00 4409.00 ...
Operating Margin % 11.80 12.70 18.40 ...
Net Income USD Mil 1335.00 1989.00 3496.00 ...
Earnings Per Share USD 0.22 0.32 0.56 ...
...import good_morning as gm
kr = gm.FinancialsDownloader()
kr_fins = kr.download('AAPL')Different from the KeyRatiosDownloader class, kr_fins now holds a dictionary containing the financials for the morningstar ticker AAPL. The financials may differ from company to company.
print (fins.keys())Output:
dict_keys(['income_statement', 'balance_sheet', 'cash_flow', 'period_range', 'fiscal_year_end', 'currency'])We can also store this data in a relational database. If we specify the MySQL connection conn the retrieved data will be uploaded to the MySQL database:
import pymysql
conn = pymysql.connect(
host = DB_HOST, user = DB_USER, passwd = DB_PASS, db = DB_NAME)
kr_frames = kr.download('AAPL', conn)Every pandas.DataFrame in the array kr_frames will be uploaded to a different database table. In our case the following tables will be created:
`morningstar_key_balance_sheet_items_in_percent`
`morningstar_key_cash_flow_ratios`
`morningstar_key_efficiency_ratios`
`morningstar_key_eps_percent`
`morningstar_key_financials_usd`
`morningstar_key_liquidity_per_financial_health`
`morningstar_key_margins_percent_of_sales`
`morningstar_key_net_income_percent`
`morningstar_key_operating_income_percent`
`morningstar_key_profitability`
`morningstar_key_revenue_percent`For example, the following MySQL query:
SELECT * FROM `morningstar_key_cash_flow_ratios`;Outputs:
ticker period ...
AAPL 2005-09-30 171.41 200.13 1.87 16.33 1.70
AAPL 2006-09-30 -12.43 -31.30 3.40 8.09 0.79
AAPL 2007-09-30 146.40 186.88 4.11 18.68 1.28
AAPL 2008-09-30 75.43 87.27 3.69 25.85 1.74
...Where the columns are:
ticker
period
operating_cash_flow_growth_percent_yoy
free_cash_flow_growth_percent_yoy
cap_ex_as_a_percent_of_sales
free_cash_flow_per_sales_percent
free_cash_flow_per_net_incomeWe include unittest to troubleshoot your use of the library. It's a simple command line process to run the test. Navigate to the base directory of good-morning and use the standard library unittest command line interface:
python -m unittest test/Output:
----------------------------------------------------------------------
Ran 3 tests in 0.626s
OKIf you see anything other than this, you should get an error report. Before submitting an issue, run the test and try to paste the output if the error persists.
There are two classes in good_morning:
KeyRatiosDownloader - Used to download key ratios. Key ratios share the same structure across all Morningstar tickers.FinancialsDownloader - Used to download financials (i.e. income statement, balance sheet, cash flow). Financials may differ in structure across the Morningstar tickers.Good Morning is licensed to you under MIT.X11:
Copyright (c) 2015 Peter Cerno
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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