In this video we learn how to do professional Portfolio analysis in Python with PyFolio. We learn how to easily create a tear sheet and analyze risk and performance. ◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾ 📚 Programming Books & Merch 📚 🐍 The Python Bible Book: https://www.neuralnine.com/books/ 💻 The Algorithm Bible Book: https://www.neuralnine.com/books/ 👕 Programming Merch: https://www.neuralnine.com/shop 💼 Services 💼 💻 Freelancing & Tutoring: https://www.neuralnine.com/services 🖥️ Setup & Gear 🖥️: https://neuralnine.com/extras/ 🌐 Social Media & Contact 🌐 📱 Website: https://www.neuralnine.com/ 📷 Instagram: https://www.instagram.com/neuralnine 🐦 Twitter: https://twitter.com/neuralnine 🤵 LinkedIn: https://www.linkedin.com/company/neuralnine/ 📁 GitHub: https://github.com/NeuralNine 🎙 Discord: https://discord.gg/JU4xr8U3dm Timestamps: (0:00) Intro (0:29) Environment Setup (3:22) Calculating Returns (10:30) Performance Metrics (21:25) Analysis Charts (26:52) Multiple Assets in Portfolio (32:00) Outro
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That sharpe ratio, the efficient frontier, the Single Index Model, maximizing utility subject to risk aversion , underrated.
why is the output from 1999 when we have specified the live_start_date, kindly comment
there is no variable called bench_ret in the lines previous to......pf.create_returns_tear_sheet(returns,live_start_date = "2020-01-01",bench_rets = bench_returns)
great video, but could not find the repo... help 🙂
Thx_.
Are you using LInux if linux what distro and pc or laptop specs.
This channel teaches the worlds on "how to practice swimming", rather than just simply "teaches how to learn swimming"! Greetings from Jakarta-Indonesia.
Excellent class!!! Me inscrebi!
very interesting, thanks
Love this channel. You have no idea how much you have taught me. Your videos have been key in my programming journey. Thank you!
This seems like something that it would be easier and better to have AI do, than to write new code to reinvent the LLM/MCP wheel
This channel just keeps getting better and better
Thanks for including the environment setup! This would have saved me so much time when I started! 👍
I love it ❤
1 second ago is crazy