Hi Everybody,
I learn from quantra course that for environment without machine learning libraries, type Conda env create -f Learn algorithmic trading from top institutions and experts | Quantra by QuantInsti
and for environment with machine learning libraries, type Conda env create -f http://quantra.quantinsti.com/downloads/machinelearning/environment.yml
I am confused as to which libraries to use in course option trading strategies in python primer.
also please explain difference between above two libraries.
As this is my first time posting, I am excited to hear from you.
Thanks Everybody.
Hi Vivek,
The reason why there are two different environment files is that the machine learning libraries are heavy (in terms of file size and complexity) and not everyone needs them.
If you are looking for creation of trading strategies related to options, you can use the general environment.
Hope this helps.
Thanks for your post.