We have listened to our audience and have prepared a new filtering field which you can use to screen strategies by regional focus.

Plus we continue to re-run some of our codes on a monthly basis systematically, 100 codes are at the moment part of this activity.

Thirteen new Quantpedia Premium strategies have been added into our database, and eleven new related research papers have been included in existing Premium strategies during last month.

Additionally, we have produced 12 new backtests written in QuantConnect code. Our database currently contains nearly 370 strategies with out-of-sample backtests/codes.

Also, five new blog posts, that you may find interesting, have been published on our Quantpedia blog.

We have a new video featuring three examples of how to built new strategies on top of ideas from Quantpedia’s database. We hope you will like it …

We have prepared several new announcements, but first, let us recapitulate last month of Quantpedia’s research. Nine new Quantpedia Premium strategies have been added into our database, and eleven new related research papers have been included in existing Premium strategies during last month.

Additionally, we have produced 12 new backtests written in QuantConnect code. Our database currently contains over 350 strategies with out-of-sample backtests/codes.

Also, five new blog posts, that you may find interesting, have been published on our Quantpedia blog:

The presidential campaign is becoming hotter as we are moving closer to this year’s election. But we still have enough time to dig deeper into data about the past elections and prepare for autumn. Therefore, we have prepared a short video recapitulation of our paper on the pre-election drift.

The best course of action for every quant researcher is to try to fundamentally understand anomalies and explore their functioning besides the original scope of the academic research papers. The goal of this article was to look for inspiration and further explore the Skewness affect – the tendency of assets with the lowest skewness to outperform assets with the highest skewness. It seems that this anomaly is present not only in commodities but also in currencies, fixed income and equities. Trading strategy that exploits the effect of skewness in the multi-asset setting would earn an annual return of 7.67% when leveraged to the 15% volatility.