You should take a beat and search the keywords, "trading capacity constraint."
That will lead you to the reasons why it is very possible to both beat the market and be incapable of scaling it up to billions of dollars.
tl;dr: Someone who has found a way to reliably arbitrage to 25% gains year over year on an inefficiency that will only fill about $100,000 is not going to be able to cash their system in for billions of dollars. But they will be reliably beating the market (on a risk-adjusted basis: assuming the system has risk equal to or less than holding e.g. the S&P).
You will find that firms which can actually reliably beat the market do tend to make their founders wealthy. But they can't scale it beyond the capacity allowed for by the inefficiency. All successful hedge funds and prop shops eventually reach a point where they can't reinvest the returns for the same gain.
I find this pretty hard to follow. Would you be open to writing a longform version of this aimed at the tutorial level?
Reading between the lines, I would guess you're trying to demonstrate that you really know what you're doing. Maybe as a proof of concept for possible employment opportunities. If so, that's great! Good luck.
But if I were interested in reverse engineering some other app, I don't think I could understand what you've done well enough to use these techniques on that app. Except maybe the breakpointing within `fuck_debug`, that was pretty slick and easy to follow.
Can you talk a little bit more about why server side logs aren't accurate for analytics? I was planning on doing basic analytics (pageviews mostly) using Cloudfront access logs stored in an S3 bucket and queried through Athena for a site I'm working on which uses the AWS stack.
I know Cloudfront logs can sometimes drop, but is there a more important reason you're talking about?
That will lead you to the reasons why it is very possible to both beat the market and be incapable of scaling it up to billions of dollars.
tl;dr: Someone who has found a way to reliably arbitrage to 25% gains year over year on an inefficiency that will only fill about $100,000 is not going to be able to cash their system in for billions of dollars. But they will be reliably beating the market (on a risk-adjusted basis: assuming the system has risk equal to or less than holding e.g. the S&P).
You will find that firms which can actually reliably beat the market do tend to make their founders wealthy. But they can't scale it beyond the capacity allowed for by the inefficiency. All successful hedge funds and prop shops eventually reach a point where they can't reinvest the returns for the same gain.