Creating a Daily Fantasy Sports Algorithm Using Quantitative money management, Pt. 3: Assembling a Team



In the last part of this three-part series, Jamie McCorriston, an analyst at Quantopian, continues to look at the analogous concepts between Quantitative money management and Daily Fantasy Sports. He walks through the final steps in assembling an algorithm and explains how that algorithm works. Jamie also goes over some of the issues you might encounter when trying to build an algorithm and possible services.

If you missed the first two parts of this video series, they can be found at:
Part 1: https://youtu.be/7LWxQOTad6c
Part 2: https://youtu.be/qG4EgI0eWS4

To learn more about creating algorithms on Quantopian, check out Quantopian’s free educational resources that can help you get started. Access these resources, as well as tools that can help you create your own models, at www.quantopian.com.

You can find the notebook for this series at https://github.com/quantopian/research_public/tree/master/videos/miscellaneous/dfs.

The data for this series was collected by Ana Ruelas.

As always, if there are any topics you would like us to focus on for future videos, please comment below or send us a quick note at info@quantopian.com.

Disclaimer
Quantopian provides this presentation to help people write trading algorithms – it is not intended to provide capital advice.

More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or plan, nor does it constitute an offer to provide capital advisory or other services by Quantopian.

In addition, the content neither constitutes capital advice nor offers any opinion with respect to the suitability of any security or any specific capital. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in industry conditions or economic circumstances.


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