Riskfolio Quickstart Guide - Free course in python
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- เผยแพร่เมื่อ 13 มิ.ย. 2024
- In this video we'll cover everything you need to know to get up and running with the riskfolio library in python. It provides a bunch of built-in optimization methodologies and makes it very easy to calculate the efficient frontier and optimize for maximum sharpe ratio, maximum return or minimum risk.
Consulting available here:
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00:00 - introduction
01:19 - Calculating optimum portfolio
14:00 - Plotting efficient frontier
21:15 - Reporting tear sheet
24:06 - Trying different risk methodologies
29:26 - Adding constraints on return / drawdowns
33:53 - Constraints on asset class / asset type
45:04 - End
A best video I ever seen. Thank so much
Nicely done! Thank you
Thanks man! This would be useful !
Brilliant video as always, if only it was a week earlier, as I spent a couple of days developing my own EF using the Monte Carlo method. Still it was a good exercise.
This is great tutorial. But i had to go through conceptual part first to know what you were doing with the code. Reading the official doc and some related textbook helped❤
superb!
This is a great content. Thank you for sharing. And thank you that you finally changed to code on Jupiter Notebook because it is easier and clearer to see the result.
Great video. I really liked it!
How do I then apply the Monte Carlo simulation to this? Can I do the simulation or does riskfolio already do that?
Because a MC can run 10.000 portfolios which this kinda doesn’t do….
Thank you Chad, this video was incredible!
I did have a question though... I was messing around with this library, and trying to optimize a portfolio, and received a message output (similar to 31:07 in the video) except the output is: "You must convert self.cov to a positive definite matrix".
I was still able to execute the remainder of the code to get an optimized portfolio, but I was curious if this message has some impact on the overall output, do you know why this message appears?
Thanks again for the video, I found your explanation of this library extremely helpful!
I'm trying to run the same code as you mentioned but it throws an attribute error:'NoneType' object has no attribute shape, when calculating 'w'. I'm not able to figure out how to resolve it.
I usually carry my portfolio in a black briefcase, will this work with scanned copies?
Is the red clock to your right still working? I can't help but noticed that the second hand is not moving. You will need some new batteries.
I have some issues with Riskfolio-Lib Report. It's too big. How can I change the size of the font? Letters and numbers are too big.
Can you help me resolve an error in the code?
can you share this code?
Never mind. Problem solved.