Quantocracy’s Daily Wrap for 12/14/2015

This is the another post of the series: How to build your own algotrading platform. Building a backtest system is actually pretty easy. Easy to screw up I mean. Even though there are tons of excellent libraries out there (and we'll go through them at some point), I always like doing this on my own in order to fine-tune it. From all the backtesting systems I have seen, we can assume that there

In a recent article, Advisor Perspectives editor Robert Huebscher noted: During the last 40 years, an average of 60% of equity funds underperformed the S&P 500. But, according to the SPIVA data, 86.4% of large-cap managers underperformed their benchmark in 2014. The percentages were not much better last year for mid-cap (66.2%) or small-cap (72.9%). The article goes on to cite work by

Summary We break portfolio construction into two unique phases: signal generation and the rules that determine allocations. We use the analogy that this process is like cooking, where our signals are the ingredients and our allocation rules are the recipe. While most firms focus their research on generating the best ingredients, we believe it is important to acknowledge up front that the

Here's a python script I made to rank stocks according to their return on equity and trailing EV/EBITDA. I have named it the poor mans magic formula because all of the fundamental data is scraped from yahoo finance. Yahoo are friendly enough to provide this data for 'free' but have been known to block ip addresses that make too many requests in one day (15k+). Unfortunately neither