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Any plans to update the strategy library with new class and model structure?

Being new to coding I went through the basics in bootcamp about 6 months ago, then I made a bunch of basic algos to get comfortable. Just this last week I went through the framework bootcamp and intermediate ones and i feel better knowing about the classes and models. And when I went to to the strategy library I see that almost all the strategies have the old structure where everything is in OnData. Which I understand now that we shouldn't build them that way.

Any plans to update the strategy library with the new alpha models and class structures?

thanks!

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Hi Mark,

Whether the algorithm is built using the Algorithmic Framework or using the classic style really depends on the user as well as the type of algorithm (we currently use classic for our InternFund project), and both have pros and cons.

For users managing their own money, either algorithm type would suffice. However, for those wanting to sell Alphas in our Alpha Streams market or compete in our Alpha Streams competitions, learning to be fluent in our Algorithmic Framework is very helpful.  We are also working on converting our older algorithms to use the Algorithmic Framework. However, for now, if you’d like to see algorithms developed using the Algorithmic Framework, see our Strategy Library Github repository and lookup strategies with larger numbers as those are more likely to be implemented using the Algorithmic Framework.

Best,
Shile Wen

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The material on this website 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 strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the 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 market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.


Ok sounds good. Thanks for the github link Shile.

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The material on this website 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 strategy, nor does it constitute an offer to provide investment advisory services by QuantConnect. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. QuantConnect makes no guarantees as to the 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 market conditions or economic circumstances. All investments involve risk, including loss of principal. You should consult with an investment professional before making any investment decisions.


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