Algorithmic Trading Course in Python - Mean Reversion Episode 3

[@Intrendias]

Get the Complete Jupyter Notebook for free on Intrendias.com!

[@tallchicago1]

I tried to get the notebook at your site but does not work. I added a profile etc. Please advise

[@Intrendias]

@@tallchicago1 Thank you for your comment and I am sorry you're unable to download the notebook. I have republished the blog post with the code so downloading the notebook is no longer required. Thank you for watching and using Intrendias! Link to Blog Post with Python Code: www.intrendias.com/post/algorithmic-trading-in-python-code-mean-reversion-strategy

[@tallchicago1]

@@Intrendias Thanks for the reply. However the blog post from link above leads to a blog that has contents in entirety copy paste below. There is no narrative, nor any code. Please advise and thanks in advance. Perhaps provide an email to communicate better such that I can provide screen clip etc. Algorithmic Trading in Python Code - Mean Reversion Strategy Updated: 6 hours ago On my KZbin channel I have a Algorithmic Trading Course series where we use python and create a mean reversion inspired trading algorithm. The algorithm provides buy and sell signals along with backtesting results. For your convenience, I have provided the complete jupyter notebook with all the required code here! Algorithmic Trading Python Code Here for Intrendias Essentials Members (Free Tier)!

[@Intrendias]

@@tallchicago1 Have you subscribed to Intrendias Essentials Free tier under the subscription page? I tested the link and it works on my end. Thank you!

[@tallchicago1]

@@Intrendias Yep- works now. Thanks and happy holidays !!!!

[@bazhenovdenis]

Great! Professional and very useful!

[@Intrendias]

Thank you for watching! I’m glad you found the Python coding series helpful!

[@bhushanmatkar9415]

Thanks for the efforts to explain the strategy. Wondering why we are calculating ATR as it is NOT further used anywhere in strategy. Am i missing anything here?

[@Intrendias]

The ATR is for the stop loss line. An additional line could be created in the matplotlib section. Thank you for your question and watching Intrendias !

[@VivekGautammk]

Hey, Please provide source code please

[@Intrendias]

Hey! Thank you for your comment and watching the video. The code is available on intrendias.com under the blog section. Sign up for Intrendias Essentials for free to view exclusive blogs