Interactive INVESTMENT PORTFOLIO ANALYSIS with Python and Streamlit
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- čas přidán 3. 06. 2023
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Many thanks to @coursera for sponsoring this video!
In this video we are building a fully interactive Investment Portfolio Analysis Dashboard with Python and streamlit.
Get the Notebook/Source code by becoming a Tier-3 Channel member:
/ @algovibes
Please be so kind supporting the channel by hitting like, subscribe and leaving a comment. Thanks a lot!
REFERENCES:
Portfolio Construction and Portfolio Risk calculation:
www.udemy.com/course/portfoli...
Python for Finance playlist:
• Python for Finance
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Disclaimer: This video is not an investment advice and is for educational and entertainment purposes only!
#Coursera #CourseraPartner #python #stockmarket #portfolio - Věda a technologie
Just saw that in the beginning you don't see the Benchmark risk on the screen. Apologies for that. The Benchmark risk for that time horizon is simply 0.0132.
Have fun building that and hit like, comment and subscribe for a follow up considering "real" portfolio compositions.
Great video and looking forward to the next part. Please continue sharing videos
Great video. Looking forward for part 2.
Thanks a lot Serge! Appreciate your comment :-)
Can you show how to maximise Sharpe ratio changing weights of stocks using python? I found solutions only in excel using solver, but don't know how to do it in python. Thank you in advance
Good news! That's covered in my course:
www.udemy.com/course/portfolio-construction-and-optimization-with-python/?couponCode=6F8967CBBD6A36B2DAE1
I highly recommend to take that (10 bucks only with the coupon). Anyhow if you want a free solution you will also find that on my channel btw.
@@Algovibes thank you very much !
Could you please do it video on forward testing? with markov chain and monte carlo?
I think it would be great for a follow up video with a real portfolio with different buy dates and weight. I cannot remember how far you can go back with yfinance, but I guess there would be some limitation if a stock was owned a long time. On the other hand, I guess you might just go back to Jan 1 of the current year for the benchmark comparison regardless of older purchase dates. How would a stock purchased post-Jan 1 be handled though? Would each stock individually be figured from the later of Jan 1 or purchased date; and then the individual returns summed to be compared against the benchmark of Jan 1?
Very good and interesting question. I would love to do a value weighted portfolio which is tackling exactly those questions but unfortunately these videos are not getting enough traction ultimately being not worth it to cover this topic :(
goodone, can you suggest on a way to get active crypto portfolio from personal binance account and give a similar risk analysis, thanks
Interesting suggestion! Thanks for watching
Is the streamlit link sharable? Mean after i male my project can other people use it ?
Yes! Streamlit has a deployment functionality
is there a part 2?
nope, vid didn't got enough tratction unfortunately