Liquid Co-Invest — Trade via ChatGPT or Claude with market research, position sizing, and explic...

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Transcript

SPEAKER_01 0:00

So, um, imagine reading a breaking news alert about a tech stock, typing buy this into a chat window, and having a perfectly risk-adjusted trade ready to go in like three seconds.

SPEAKER_00 0:12

It's pretty wild to think about.

SPEAKER_01 0:13

Right. Today we're looking at the AIagentStore.ai website, which, you know, we always check out for tools that actually change how you work.

SPEAKER_00 0:21

Yeah, we're on there constantly.

SPEAKER_01 0:22

Exactly.

SPEAKER_00 0:23

Yeah.

SPEAKER_01 0:23

And today we're focusing on a finance AI agent called Liquid CoInvest. The main question here is uh is this just another automated trading bot, or does this fundamentally alter how you interact with the markets?

SPEAKER_00 0:35

Aaron Powell I mean it's aiming to completely reshape that interaction. You're looking at a system that bridges the gap between research and execution. Essentially, uh Liquid CoInvest connects your liquid trading account directly to ChatGPT and Claude.

SPEAKER_01 0:50

Oh wow. So right in the interface.

SPEAKER_00 0:51

Aaron Powell Exactly. Yeah. Instead of having research tabs on one monitor and you know a trading platform on another, you research the market conditions and execute trades right inside that same chat window.

SPEAKER_01 1:01

Aaron Powell So it's sort of less like a standard chat bot and more like I don't know, merging a Bloomberg terminal with a personal broker.

SPEAKER_00 1:08

Aaron Powell Yeah, that's a really great way to think about it.

SPEAKER_01 1:10

Like I can just ask a question about market trends and it brings back both the research and the actual order ticket. But um if it operates right inside the chat, what can I actually trade with it?

SPEAKER_00 1:20

Aaron Powell Well, the scope is actually surprisingly broad. It supports US stocks, ETFs, commodities, major FX pairs, and even some select pre-IPO names.

SPEAKER_01 1:30

Aaron Powell Wait, really? Pre-IPO names too.

SPEAKER_00 1:32

Yeah, and crypto perpetuals as well. And just to clarify for anyone who doesn't, you know, trade crypto daily, perpetuals are basically futures contracts without an expiration date.

SPEAKER_01 1:41

Right, which are super volatile.

SPEAKER_00 1:43

Highly complex, yeah. Managing the risk on those is really difficult. So having an AI handle the underlying math there is a pretty significant shift.

SPEAKER_01 1:50

Aaron Powell I would think with that kind of cross-market reach, a human could easily just get overwhelmed and make a really reckless trade, which actually brings up a specific metric on their page, an exact 72% autonomy rating.

SPEAKER_00 2:03

Right.

SPEAKER_01 2:04

Yeah. So how much of the actual thinking is the AI doing versus, you know, what you have to do?

SPEAKER_00 2:10

Aaron Powell Well, it does the heavy lifting, which is why it sits at that 72% mark. It pulls the market signals, generates trade ideas, and it actually gives you the source links too.

SPEAKER_01 2:19

Okay, that's helpful.

SPEAKER_00 2:20

But the crucial part is how it sizes positions. Because it reads your liquid account's real-time margin, it calculates the position sizing based on your available equity and the asset's historical volatility.

SPEAKER_01 2:32

Wait, hold on. Letting an AI calculate my trade size based on my portfolio balance still sounds incredibly risky to me.

SPEAKER_00 2:40

It does, yeah.

SPEAKER_01 2:41

Like if the AI hallucinates, does this thing actually pull the trigger on its own?

SPEAKER_00 2:45

No, no. And that is the vital question. That's exactly why the system isn't 100% autonomous. It literally cannot send an order without you.

SPEAKER_01 2:52

Oh, okay. So there's a safety net.

SPEAKER_00 2:54

Exactly. Every single trade first generates a confirmation card. It outlines the symbol, the direction, the size, leverage, and uh the specific rationale behind the trade. You have to approve it.

SPEAKER_01 3:05

Ah, got it. So it's kind of like a commercial airplane's autopilot. It calculates the wind speed, checks the fuel, plots the exact coordinates, but the human pilot still has to explicitly press, you know, engage to actually change altitude.

SPEAKER_00 3:20

That's a perfect analogy. Yeah. You always have explicit veto power. You have the final say.

SPEAKER_01 3:24

Aaron Powell, which is reassuring. And I guess we should also quickly note the business model here. Trevor Burrus, Jr.

SPEAKER_00 3:29

Right. It's very straightforward. The tool itself is closed source, but it's completely free to use as a product. Trevor Burrus, Jr.

SPEAKER_01 3:34

You just pay the standard trading fees.

SPEAKER_00 3:36

Yeah. Just the standard liquid trading fees. Oh, and any applicable funding rates for the perpetuals, but that's standard.

SPEAKER_01 3:42

Aaron Powell So what does this all mean for you as a trader? Think about it. If the friction between reading a market catalyst and executing a fully researched, perfectly sized trade drops to almost zero, how will that change your personal investment discipline?

SPEAKER_00 3:58

Right. Because if the barrier to entry basically vanishes, your discipline has to be absolutely airtight.

SPEAKER_01 4:04

Exactly. Something to definitely think about the next time you're looking at your portfolio. Remember to check out the link aiegentstore.ai for more.

SPEAKER_00 4:12

Definitely worth a look.

SPEAKER_01 4:13

And thank you all for rating the podcast. It really helps us out. Catch you next time.