First in a series comparing Python vs R for quantitative trading analysis. Starting simple I look at how to get stock prices and make a simple graph of closing values in both languages.

Second in a series comparing Python vs R for quantitative trading analysis. Continuing on simple charting example from last article in series, I look at how to add technical analysis indicators to charts.

Third in a series comparing Python vs R for quantitative trading analysis. Using the zipline framework for Python and the work of Systematic Investor Toolbox for R, I implement the same moving average cross-over model in each language.