You need domain knowledge to get this to work. Things like "we fed the model the market data" are actually non-obvious. There might be more than one way to pre-process the data, and what the model sees will greatly affect what actions it comes up with. You also have to think about corner cases, eg when AlphaZero was applied to StarCraft, they had to give it some restrictions on the action rate, that kind of thing. Otherwise the model gets stuck in an imaginary money fountain.
But yeah, the AI thing hasn't passed by the quant trading community. A lot of things going on with AI trading teams being hired in various shops.
The big Quant hedge funds have been using machine learning for decades. I took the coursera RL in finance class years ago.
The idea you are going to beat Two Sigma at their own game with tokens is just an absurdity.
Personally, I think any individual on their own that claims they are doing anything in the algorithmic / ML high frequency space is full of shit.
I could talk like I am too and sound really impressive to someone outside the space. That is much different though than actually making money on what you claim you are doing.
It reminds me of an artist friend when I was younger. She was an artist and I quite liked her paintings. She would tell everyone she is an artist. She was also an encyclopedia when it came to anything art related. She wasn't actually selling much art though. She lived off the $10k a month allowance her rich father gave her. She wasn't even being dishonest but when you didn't know the full picture a person would just assume she was living off her art sales.
do you want to have a chat by Whatsapp then I can show you quite the opposite! :-) And in my case: Nobody knows, only one friend who is also deep in the stuff; people doing this are usually more quiet, since nobody is interested at all. I have some contacts in academia and shared my ideas with them - none of them said: "this wont work"
(Disclaimer: 25+y IT experience, 15 of them in finance)