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Hey all?
As the title says, I am new to quant connect. I've done all the boot camp tutorials.
Now I want to step up my knowledge about machine learning. Is there any good guide or tutorial about this?
Regards
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Spacetime
https://www.quantconnect.com/docs/algorithm-reference/machine-learning
https://www.quantconnect.com/docs/research/machine-learning-research
maybe try above links
Spacetime
Adam W
I would suggest you go through an introductory course on ML first (the syllabus/lecture notes here look pretty good, or Trevor et al.'s Elements of Statistical Learning), build some simple ML projects locally with non-financial data, then read up on the intricacies of ML for Finance (Lopez De Prado's Advances in Financial Machine Learning has some good practical insights).
Jason
+1 on the Marcos Lopez De Prado's Advances in Financial Machine Learning; one of my favorite resources for ML and algo trading
Shile Wen
Hi Tijmen,
In this post, I've tabulated the Strategy Library Additions, and one of the categories is ML/DL.
Best,
Shile Wen
Pavel Fedorov
how can we access in the research notebook all the equity symbols that were traded for a certain date? something like CoarseSelection and FineSelection but in the research.ipynb.. .otherwise how can we prepare a dataset of fundamentals for each stock at each date in the research environment if we dont know all the symbols for a given date? it makes GetFundamental method not much use… any ideas? the goal is to assemble a dataset that can be used for machine learning model training
Tijmen Kodden
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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