After Quantopians decision to stop the daily contest I have the impression that it has become a bit calmer here in the forum. I signed up for Quantopian during quarantine and since then made great progress in how to use Python in the Research Environment and pursue quantitative finance. In addition to the really good lectures, tutorials- and Thomas Wiecki's "Learn from the Expert" series, it was especially the many contributions from the experienced members of the community here in the forum that kept me motivated to learn how to code.

In order to start contributing myself and to fill the gap of the discontinued contest, now the following idea:

Let's start our own competition and share the alphalens results of your best "standalone" alpha factors along with a general description of the factor's underlying economic/ psychological rationale.

I will make the start sharing the alphalens results of my first factor "Earnings Estimates", which uses the factset dataset. The economic rationale is, that companies whose market expectations keep rising will do better than companies where analysts are trimming their forecasts (a factor that I'm very glad is working as I'm working as a buy-side analyst).

Comments or any thoughts on the factor are welcome and please go ahead and share your alphalens results as well in order to start a real community challenge! Hopefully, this can be both - motivational (for newcomers like me) to continue improving using Quantopian for quantitative research, and, a source of inspiration (for the more veteran quants) .

Best,
JL