How To Calculate and Analyze HISTORICAL Correlations in Python?

[@_onuroduncu_]

Thank you for sharing very valuable information with us.

[@Algovibes]

welcome mate! I won't stop :-)

[@riccardoronco627]

May I take this opportunity to thank you for all your work? Thank you!

[@Algovibes]

Thanks a lot Riccardo for your support! Appreciate it

[@pietraderdetective8953]

i made a similar calculation but using a different algorithm: euclidean distance. Then I use it in commodities related stocks to pick those who haven't been picked up by the market (post checking the fundamentals of course).

[@Algovibes]

Super cool!

[@ragnarocking]

Extremely interesting - thanks. I see limitless possibilities, here - but haven't the slightest idea where to start 🤣 Exciting.

[@Algovibes]

I think so too! I have a ton of free content but also a structure course here:
www.pythonforfinance.info so be invited to check both out :-)

[@ragnarocking]

@@Algovibes I’ll definitely check it out. Thanks!

[@fudgenuggets405]

I think it would be interesting to do a correlation study with an offset between two stocks. What I mean is look back 30 days (or whatever) on CAT and see what AAPL does after that. Imagine if you find something like if CAT is up 5% over the last 30 days, AAPL usually goes up 5% over the next five days.

[@Algovibes]

Thanks for sharing your thoughts! Indeed an interesting topic.

[@anilmm2005]

Thank you for this. Interested in knowing once we have correlation between stocks how do we proceed ahead with strategy if correlation also changes as showed in example

[@Algovibes]

Interesting question! Thanks a bunch

[@Md.NafisSaad]

Bro can you make a video on combining two strategy mean reversal and momentum?

[@Algovibes]

Very interesting suggestion! Thank you :-)

[@Malik.omari2002]

i hope you use this in pairs trading

[@ÜmitKirenci]

🙋‍♂🙋‍♂

[@Algovibes]

🙋🏽‍♀️