Data Science with cryptocurrencies - Analysis & Prediction using Python

Disclaimer: This is no investment recommendation or an investment advice. This video is for educational and entertainment purposes only.

Thank you for 500 subscribers! As promised in the other cryptocurrency video I am publishing my analysis of the largest cryptocurrencies: Bitcoin, Ethereum, Litecoin and Ripple.

In specific that is analyzing price charts, cumulating returns, taking a look at volatilities and return distributions, outlier analysis, correlation analysis and building a prediction model.

I hope you like it! In case anything is unclear or you have any questions feel free to drop me a comment.

Mentioned videos:
Video on getting cryptocurrency price data:

Video on fbprophet (Prediction model):

#Python #DataScience #Cryptocurrency

[Algovibes]

Hi everyone,
thanks for watching! :-)
If you are interesting in cryptocurrency trading you may find my new videos where I am designing different trading strategies interesting. Be kindly invited to check the first one out and let me know what you think:

[joaopatricio]

Such an interesting analysis, I'll take some ideas to implement on my cryptos' analysis. Continue the good work :)

[FireChess]

Expected a babe, but got a nice german accent to listen to make me even nerdier than I am now.
Actually the tutorial was just what I was looking for in terms of prediction! Loved the data visualizations as well

[hackercoolio]

Hey buddy.. Ive been binge watching most of your content.. First of all thank you for your great insights on python, I would love to see more follow up on this subject, especially a model that for example would combine all the data from various big exchanges, along with buy vs sell volumes.. to feed the program with a culminative data, and perhaps get better insights? On the side note I am still new to python and machine learning, I believe that its a fascinating subject, therefore I would love to have an open dialogue with you on this matter! Cheers.

[saglikguzellik]

Hello, the first model on 8:40 was correct, although no-one could believe it haha.

BTC : 32.000 $

[goodyonsen]

Thank you very much for the instructions my friend. God bless...

[viccctv]

Hhahaha I indeed was expecting a blonde girl lol

Great work.

[haohuynhnhat]

you got me, I was expecting a beautiful girl talking about crypto

[fintech]

what about predicting with LSTM? whats the advantage of Prophet module?

[hossein_sarshar]

if you added other factors outside of crypto ecosystem like the US dept/inflation/crime rate/jobless/etc. then probably you'd be getting an interestingly more accurate model for late 2020. ;)

[CalgaryChris]

Well played! I was expecting a hot chick 🤣

[LukaszKawalec]

Awesome analysis! I try to replicate your code but currently got an error in Fbprophet section: "end2 = dt.date(end.year, end.month - 6, end.day)" . When typing months 1, 2, 3 it works fine. However, when I put 4 and higher I got an error: "ValueError: month must be in 1..12". Any idea what I'm doing wrong?

[FRANKWHITE]

Is it possible that fbprophet isnt working on Mac with m1

[alexx]

hahahaha I was 100% expecting an Indian guy!