Obviously doesn't get into all the nuances of Mean-Variance, as I wouldn't have expected a Substack article to attempt.
I thought the discussion focusing on Sharpe was really interesting. There's lots of higher risk investing opportunities like options, alternatives, and crypto, but not a way to put them on the same scale vs each other.
+1 for Vercel. Ran my first project on it years ago when they were young and I was stupid. It was so easy to get a front end hosted. I'm still stupid but a lot more experienced now, and still use it for spinning up side projects
Reminded me for some reason of mikerowesoft.com - believe the story is that Microsoft sued the guy for infringement and ended up winning. Let's hope a tech company with the name Danblos or something doesn't blow up
Turning standard education into something scalable is going to be very interesting. We're already seeing this with MOOC and all, but when it's a part of a national network that students can plug into - I'm excited about the potential here. I like the super school idea, gives me the impression of a merit-based winner-take-all system
Even as someone who's gifted, how do you manage to get into a university at 13? I'm assuming you're non-American? Is it just a matter of taking entrance exams, showcasing aptitude at the college level, then matriculating?
I'm Canadian. I finished Grade 12 mathematics (and took the "school leaving" exam in that subject) when I was in Grade 7. Simon Fraser University (where I attended) has a special entrance category for "secondary student with superior academic standing" to take "one or two courses" while still attending secondary school.
I was admitted under this category, and when my "one or two" courses ended up stretching into half a degree... well, as long as I was getting mostly A+ grades, nobody was going to step in to say that I wasn't allowed to take any more courses.
As a practical matter, I'm sure it helped that my father was a Professor of Chemistry and a widely-respected member of the University Senate. When my admission required approval from the Dean of Science, his response was "no problem, I'll see him at lunch tomorrow". I like to think that I could have gotten in without that connection, but having someone on the inside who knew how the system worked absolutely made things run more smoothly.
What actually constitutes a full explanation of the algorithm? Article doesn't get into this enough, it mentions a high level overview is required but not much else. I can imagine that it's not going to require sharing the codebase or IP, of course.
Clicked into it, didn't read the description, and got an AI-based project that could perfectly hedge my fixed income portfolio. I won't lie, got a bit excited and then I realized what site I'd clicked on.
I'd familiarize myself with overfitting (https://www.investopedia.com/terms/o/overfitting.asp). That's optimizing your portfolio to historical data so much so that it is no longer generalizable to the future.
When you say, paid actor, are you proposing that Cramer is being paid by some fund to pump a stock that they already have a position in? I don't know, but I believe it'd be highly unlikely given that he had a pretty good career as a fund manager himself, probably doesn't need more money.
The article mentions (or links somewhere to this info) that there's no longer a Cramer pump, although there definitely was a couple years back
Having fun? What are rich founders doing that are still at the helm of their own company, what are rich fund managers doing that have already proven their merit?
I thought the discussion focusing on Sharpe was really interesting. There's lots of higher risk investing opportunities like options, alternatives, and crypto, but not a way to put them on the same scale vs each other.
Edit: They run an Inverse Cramer Index (https://www.getquantbase.com/fund/details?title=Inverse%20Ji...)