This is my implementation of the Reweighted Price Relative Tracking strategy documented in the research paper by Zhao-Rong Lai et al. Shout out to the “Paper-to-Profit” substack for calling my attention to it. The code is not meant to be deployed as-is but serves as an educational template for those interested in modern portfolio optimization techniques based on academic research...
This is a factor optimization strategy, written for Quantconnect LEAN (Python). The attached code demonstrates how to combine technical and fundamental factors in an optimized portfolio, focusing on the most heavily-weighted stocks in SPY. Feel free to re-use this, customize it, make it better and re-share. General Architecture The strategy uses a two-factor model combining...
This is my take on scheduled intraday universe selection, written in Python (LEAN). The attached code is not a tradable strategy, it’s a template for others to use in building their own strategies. Feel free to re-use this, customize it, make it better and re-share. General ArchitectureThere are three universe selection phases: Coarse, Fine and Intraday (scheduled). In the Fine and...
A few months ago someone on reddit asked about my workflow for strategy research. I thought about it and realized how far I’d come on this exciting and humbling journey. From indicator soup to some semblance of evidence based strategy validation. I’m not quite using this exact process any more, but thought it worth documenting for posterity. Here’s my reply, paraphrased and formatted...