1. Submit an Article

We welcome any article submissions of big ideas and important stories on data science, finance and alternative data. To submit your article contact us. You will keep your copyrights and ownership. Your content, your rules.

2. Become a Book Co-author

The Open Quant Live Book aims to be an Open Source introductory reference of the most important aspects of financial data analysis, algo trading, portfolio selection, econophysics and machine learning in finance with an emphasis in reproducibility and openness not to be found in most other typical Wall Street-like references.

The Book is Open and we welcome co-authors. Feel free to reach out or simply create a pull request with your contribution to our GitHub project! See contributing instructions here.

The book is open and licensed under Attribution-NonCommercial-ShareAlike 4.0 International. Hence, contributions that you make are licensed under the same terms.

3. Become a Supporter

We create free, reproducible and open-source quantitative research in Financial Data Science and Alternative Data including Articles and an Open Source Book.

We have an emphasis on reproducibility and openness not to be found in your typical Wall Street reference.

Our subscribers include professionals from world-leading companies such as Goldman Sachs, Fidelity, Morgan Stanley, WorldQuant, Balyasny Asset Management, Millennium Management, PDT Partners, Third Point, Bloomberg, Factset, S&P, Nasdaq, Citi, SunTrust, Invesco, State Street, and the Federal Reserve.

Become a supporter, help push our Open Source project forward and receive the following befenits:

  1. Be the first to receive a free copy of our ebook;
  2. Have your name added to the Acknowledgements section of the book;
  3. Get access to exclusive interviews with industry leaders, startup innovators and world-class data scientists;
  4. Get early access to content bexclusive interviewsefore the rest of the world.

Check out our Patreon page for more details.