Programming to Aid Fundamental Investing

Learn to leverage programming skills for fundamental investing in this comprehensive tutorial series. Begin with an introduction to Python and progress through acquiring company information, calculating financial ratios like Price to Book and PEG, and building a stock screener. Master techniques for retrieving Russell 3000 ticker symbols, connecting to Quandl for annual earnings data, and organizing financial information. Develop skills in graphing finance data and integrate these visualizations into your stock screener. By the end of the series, create a fully functional fundamental investing stock screener using Python, enhancing your ability to make data-driven investment decisions.

Using Programming for Fundamental Investing - Intro and Python.
Getting Company Information - Using Programming for Fundamental Investing Part 2.
Price to Book Ratio Example - Using Programming for Fundamental Investing Part 3.
Stock screener with Price to Book - Using Programming for Fundamental Investing Part 4.
Screening for PEG ratio - Using Programming for Fundamental Investing Part 5.
Adding Price to earnings - Using Programming for Fundamental Investing Part 6.
Getting All Russell 3000 ticker symbols - Using Programming for Fundamental Investing Part 7.
All Russell 3000 symbols p.2 - Using Programming for Fundamental Investing Part 8.
More stock screening - Using Programming for Fundamental Investing Part 9.
Completing our basic stock screener - Using Programming for Fundamental Investing Part 10.
Connecting with Quandl for Annual earnings data - Programming and Fundamental Investing Part 11.
Organizing Earnings Data - Programming and Fundamental Investing Part 12.
Graphing Finance Data - Programming and Fundamental Investing Part 13.
Finishing the Graphing - Programming and Fundamental Investing Part 14.
Adding the graphing to the Screener - Programming and Fundamental Investing Part 15.
Preparing our figure to accept Finance Data - Using Programming for Fundamental Investing Part 16.
Adding our Historical Earnings to Chart Data Python - Programming for Fundamental Investing Part 17.
Completing our fundamental investing stock screener - Programming for Fundamental Investing Part 18.