Andrew Parish

So markets have, you know, they have a process by which they calculate information and they calculate emotion and they move based on the conglomerate of all of those things.

Again, living, breathing organisms.

So it's difficult for

as you call them, the agentic tools, which are generally taking a look as quickly as possible at history, right?

Where's information that I can find that has found itself into the quote unquote ether so I can answer this question?

I'm gonna grab a bunch of that stuff and then I'm gonna give you an answer that you can't find on your own as fast as I can.

that model is very difficult right now to bolt on to markets.

At some point we'll get there, right?

Because they'll get better and better and better and better.

But we're a ways off from that.

The tools that you want to be using are tools that are able to take advantage of movements in the markets.

If you've got to move 3% down, you're not having to sit in front of your computer and say, I want to make sure when there's a three point move down in Bitcoin,

I'm hitting the buy button or when there's a 7% move to the upside, I'm taking 15% of that position that I bought it down 3% off the table and booking some profits and additional cash yield.

You want to use tools where you spend a few minutes putting those inputs in and then it does it for you, right?

so somewhat agentic but at the same time it's not making decisions outside of quote unquote the parameters that you've given it right we're always off from llms and and you know let's call it uh you know specialized financial um sort of models uh getting anywhere near

the markets in a meaningful way.

It's just difficult to do.

Markets are very, very unique.

It's hard for an LLM to be able to tell when there's a political commentary that happens at the blink of an eye and now you've got markets that move down one and a half percent inside of, let's call it 90 seconds.

That's difficult to predict.