Quantpedia in June 2022

Hello all,

The most important development in Quantpedia in June was our launch of the Screener for external strategy contributors – researchers, quants, and factor providers. We plan to significantly expand the number of strategies and factors that are available on the Quantpedia Pro platform so that our clients can easily build their model alpha portfolios. The new Screener for 3rd Party Strategies currently contains 43 factors from two factor providers, and we plan to significantly expand the number of new factors and strategy providers every month.

So, do you have your own factor, trading strategy, or investment model? Is it backed by a solid whitepaper/article? Would you like to show your expertise, increase your visibility and present your work to Quantpedia’s professional readers? Then contact us.


Let’s also quickly recapitulate Quantpedia Premium development:

Additionally, 5 new articles were published on the Quantpedia blog in the previous month, 2x analysis of academic research papers and 3x Quantpedia studies:

Analysis of research papers:

Too Tech to Fail?
Authors: Nordine Abidi and Ixart Miquel-Flores
Title:  Too Tech to Fail?

Investor Sentiment and the Eurovision Song Contest
Authors: Menachem (Meni) Abudy, Yevgeny Mugerman and Efrat Shust
Title:  The Winner Takes It All: Investor Sentiment and the Eurovision Song Contest

Yours …

Radovan Vojtko
CEO & Head of Research


Are you looking for more strategies to read about? Sign up for our newsletter or visit our Blog or Screener.

Do you want to learn more about Quantpedia Premium service? Check how Quantpedia works, our mission and Premium pricing offer.

Do you want to learn more about Quantpedia Pro service? Check its description, watch videos, review reporting capabilities and visit our pricing offer.

Do you want algorithmic access to the full Quantpedia database via the API? Subscribe to Quantpedia Pro, ask for an API key, and explore the in/out-of-sample statistics, source academic papers, and code snippets — ideal for quantitative research, systematic trading workflows, and AI model training.

Are you looking for historical data or backtesting platforms? Check our list of Algo Trading Discounts.


Or follow us on:

Facebook Group, Facebook Page, Twitter, Linkedin, Medium or Youtube

Share onRefer to a friend
Subscription Form

Subscribe for Newsletter

 Be first to know, when we publish new content
logo
The Encyclopedia of Quantitative Trading Strategies

Log in

SUBSCRIBE TO NEWSLETTER AND GET:
- bi-weekly research insights -
- tips on new trading strategies -
- notifications about offers & promos -
Subscribe