How I Used Python to Analyze S&P 500 Returns Since 1928
python
dev.to
How I Used Python to Analyze S&P 500 Returns Since 1928 I have always heard financial advice like "the market averages 10% per year" and "time in the market beats timing the market." But I wanted to verify these claims with actual data. So I pulled 96 years of S&P 500 data and analyzed it with Python. Here is what I found — and some of the results challenge common assumptions. Getting the Data I used the historical S&P 500 annual returns dataset from NYU Stern professor A