This is a summary of links featured on Quantocracy on Wednesday, 04/24/2019. To see our most recent links, visit the Quant Mashup. Read on readers!
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Avoiding Trades Before Earnings [Alvarez Quant Trading]Over my last 16 years of research, one of the most asked questions is should you not take trades before an earnings release. I could never answer this question because I did not have the data. I can easily recall trades were a stock came out with poor earnings and crashed 25%. But without testing this, I would still take stocks into earnings. Because that is how the testing was done. A few months
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Meta-Labeling (A Toy Example) [Quants Portal]Welcome to the concept of Meta-Labeling. This blog post investigates the idea and tries to help build an intuition for what is taking place. The idea of meta-labeling is first mentioned in the textbook Advances in Financial Machine Learning by Marcos Lopez de Prado and promises to improve model and strategy performance metrics by helping to filter-out false positives. In this blog post we make use
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P-hacking and backtest overfitting [Mathematical Investor]Recent public reports have underscored a crisis of reproducibility in numerous fields of science. Here are just a few of recent cases that have attracted widespread publicity: In 2012, Amgen researchers reported that they were able to reproduce fewer than 10 of 53 cancer studies. In 2013, in the wake of numerous recent instances of highly touted pharmaceutical products failing or disappointing
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Podcast: Gary Antonacci: combining relative strength price momentum with absolute momentum [System Trader Show]Imagine that you spend a few minutes a month to manage your investment. All is rule-based, statistically significant, simple and logical. No place for discretionary decisions, no guessing, no gut feeling, no forecasting. And in the long-term, you are almost sure to beat all the actively managed investment funds on the market. Sounds like a scam? Well, everyone should verify everything, but once