Latest / The Paul Barron Crypto Show / A.I. Crypto Trading on Claude!🔥Liquid Demo & CEO INTERVIEW🚨

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A.I. Crypto Trading on Claude!🔥Liquid Demo & CEO INTERVIEW🚨 · The Paul Barron Crypto Show

0:00
Speaker 1: If you guys are considering AI to do trading, this
0:03
Speaker 1: is a video you want to watch. We're going to
0:04
Speaker 1: break it all down because now you can use Claude
0:07
Speaker 1: to get into crypto trading and others. And I think
0:09
Speaker 1: one of the things that you have to consider is
0:12
Speaker 1: is this easy. Well we're going to find out today,
0:14
Speaker 1: So let's get started. You've probably heard me mention Uphold before,
0:17
Speaker 1: and there's a reason I keep talking about them. Uphold
0:20
Speaker 1: makes it incredibly easy to bridge a gap between your
0:23
Speaker 1: portfolio and the real world. This has not been done before.
0:26
Speaker 1: Their Uphold debit card is the best example of that.
0:29
Speaker 1: It lets you spend your crypto or your cash anywhere
0:32
Speaker 1: Visa is accepted, all while earning four percent back in
0:36
Speaker 1: XRP on every purchase. It's the easiest way to stack
0:41
Speaker 1: rewards on your daily spending. Download the Uphold app for
0:44
Speaker 1: more and get started. I want to bring in Franklin Wong,
0:47
Speaker 1: who is the CEO of liquid x AI.
0:49
Speaker 2: Franklin, how are you?
0:51
Speaker 3: I'm great?
0:51
Speaker 2: How are you excellent?
0:53
Speaker 1: So we got to take a look at a few things.
0:55
Speaker 1: First situation, of course, the CFTC comes in approves perps.
1:00
Speaker 1: We're a whole in a whole new world. Now, what
1:03
Speaker 1: does this mean for companies like yourselves and just the
1:06
Speaker 1: general markets.
1:07
Speaker 3: This is among the best news we could have ever
1:10
Speaker 3: hoped for. One of Liquid's platforms lets you trade perpetual futures. Historically,
1:15
Speaker 3: people have always sort of viewed this with an element
1:18
Speaker 3: of suspicion and disdain, and I think that's really unfortunate
1:21
Speaker 3: because perpetual futures are potentially the greatest instrument ever made.
1:26
Speaker 3: They let anyone get exposure to any ascid in the world.
1:29
Speaker 3: A farmer in India who wants to get exposure to
1:31
Speaker 3: the US stock market. You can't do that normally, but
1:33
Speaker 3: you can with perpetual futures. Perpetual futures are the most
1:36
Speaker 3: efficient way of making markets global and twenty four to
1:40
Speaker 3: seven and universal across all assets. However, one of the
1:43
Speaker 3: main barriers for adoption of perpetual futures has been this
1:47
Speaker 3: constant suspicion that we're doing something wrong. This type of announcement.
1:52
Speaker 3: I think this kind of announcement is very important for
1:54
Speaker 3: mass adoption because suddenly it says this is okay, now,
1:57
Speaker 3: this is totally legal to trade on. And in terms
1:59
Speaker 3: of dry I think consumer trust. That's extremely important, right,
2:03
Speaker 3: So the people who ended up winning for people who
2:05
Speaker 3: are very willing to skirt the law, people who set
2:07
Speaker 3: up all these offshore entities, who protected themselves from liability,
2:11
Speaker 3: and that was because if you try to do it
2:13
Speaker 3: the right way, it wasn't possible, right, And this means
2:15
Speaker 3: that doing the right doing it the right way is
2:17
Speaker 3: now possible and that is music to our years.
2:20
Speaker 1: Yeah, well, I think it's music to the markets eers
2:23
Speaker 1: as well if you look at what Celik said this morning.
2:26
Speaker 1: The CFTC took historic action to permit a listing of
2:29
Speaker 1: a true bitcoin perpetual contract. Robinhood of course launched their
2:33
Speaker 1: AI tools. This has been something that they've been talking
2:36
Speaker 1: about for quite some time. You guys have somewhat beat
2:39
Speaker 1: them to the market, I guess with co invest, and
2:43
Speaker 1: I think this changes the game in general when you.
2:45
Speaker 2: Look at the ability to scale. Are you guys ready
2:50
Speaker 2: for that right now?
2:50
Speaker 1: Because the likelihood is we're going to see a lot
2:52
Speaker 1: of people going this direction.
2:54
Speaker 3: We are absolutely ready. Liquid has been around for over
2:57
Speaker 3: a year. It has it has served at least fifty
3:00
Speaker 3: thousand users generally with a very very low rate of issues.
3:05
Speaker 3: We have had very few problems, and we are absolutely
3:08
Speaker 3: ready to scale to millions and millions of people.
3:11
Speaker 2: Can you what blockchain are you guys on?
3:13
Speaker 3: We don't view ourselves as being built on top of
3:15
Speaker 3: a blockchain. Liquid is very much a platform that's built
3:19
Speaker 3: across multiple exchanges, and we can easily plug and play
3:23
Speaker 3: to any exchange we want. So we've already added support
3:26
Speaker 3: for hyper Liquid, lighter, Ostium, Calshi, Holymarket, a bunch of
3:32
Speaker 3: upcoming partnerships I can't quite talk about. We are chain agnostic.
3:36
Speaker 3: We very much would like to be considered as the
3:38
Speaker 3: future of trading and not tied to a particular chain.
3:42
Speaker 1: Explain how co invest works. I'm brand Noodle Liquid, I
3:45
Speaker 1: want to log on and get involved. I can jump
3:48
Speaker 1: over to co invest right here. How is this going
3:51
Speaker 1: to benefit traders?
3:52
Speaker 3: There's a lot of ways you can look at this,
3:54
Speaker 3: one of which is that trading I think is the
3:57
Speaker 3: most intelligence constrained, human in depth that most people go through. Right, Like,
4:03
Speaker 3: do you need AI to help you buy shoes? Probably? Not.
4:06
Speaker 3: Buying shoes is pretty straightforward, and people really enjoy the
4:10
Speaker 3: process of buying shoes, but generally people don't like the
4:13
Speaker 3: process of picking stocks it's used as the form of work. Right.
4:16
Speaker 3: People are like investors are always like we put in
4:19
Speaker 3: the work. No one buying shoes. It is like I
4:21
Speaker 3: put in the work to buy the best shoes. Trading
4:23
Speaker 3: is fundamentally the most intelligence constrained endeavor that most of
4:27
Speaker 3: us undergo. Right, Like, you don't know whether the stock
4:30
Speaker 3: will go up or down. It's really hard, right, Like,
4:32
Speaker 3: people spend their lives trying to figure out if stocks
4:34
Speaker 3: will go up or down, and they can't figure it out.
4:36
Speaker 3: All of a sudden, we have this super intelligence that
4:39
Speaker 3: can help you just make better decisions with universal markets,
4:44
Speaker 3: and that's co invest.
4:45
Speaker 1: What is the difference between co invest and an average
4:49
Speaker 1: trader just going out setting up a cloud bot and
4:53
Speaker 1: utilizing it for research on the top fifty active stocks
4:57
Speaker 1: on the traditional maybe the top ten cryptos, et cetera.
5:01
Speaker 1: What's the difference between what that can offer and what
5:04
Speaker 1: this could offer It.
5:05
Speaker 3: Lets you have your entire experience inside of claude and
5:09
Speaker 3: chat GPT. Well co invest does is it brings the
5:12
Speaker 3: execution layer like the buy sell inside of claude and
5:16
Speaker 3: chat GPT. For one, this makes it much more convenient. Right,
5:19
Speaker 3: you can get started on co invest without like making
5:23
Speaker 3: API keys or like anything like that. You just put
5:26
Speaker 3: connect and you're ready to go. So that's the first
5:29
Speaker 3: part of it. The second is that by using co invest,
5:33
Speaker 3: you're able to show the AI sort of whether you
5:37
Speaker 3: ended up buying this or not. Right, if you just
5:39
Speaker 3: ask the AI what stocks to buy and then you
5:42
Speaker 3: go and buy the stocks, the AI won't know whether
5:45
Speaker 3: you bought the stocks or not. Right, if you ask
5:48
Speaker 3: it a new question, it can draw upon all of
5:50
Speaker 3: its prior experience, right, Okay, all right? And the issue
5:54
Speaker 3: with connecting if you ask Claude for to pick some stocks, right, well,
5:58
Speaker 3: it can do that for anyone. Like they'll say the
6:00
Speaker 3: same things to everyone. There's no alpha there. Right. If
6:03
Speaker 3: you connect co invest to Claude, it can draw upon
6:07
Speaker 3: all of its experience. It's ever seen that it's seen
6:10
Speaker 3: you do right, So it's seen that you've traded many
6:13
Speaker 3: times at two am, and it can see that maybe
6:15
Speaker 3: those trades didn't work out, and it can tell you, hey,
6:18
Speaker 3: in the future, maybe don't trade at two am. If
6:20
Speaker 3: it's like, hey, you're really good at getting big tech earnings, right,
6:24
Speaker 3: you might want to size up this time. These are
6:27
Speaker 3: all of a sudden within the realm of possibility, and
6:29
Speaker 3: it's able to help you make consistently better decisions.
6:33
Speaker 1: Obviously, this goes into a fee structure. If you look
6:36
Speaker 1: at the current fee structures out there, you can kind
6:38
Speaker 1: of compare against things like coinbased Robinhood, you know, IBC,
6:43
Speaker 1: and then you go all the way into hyper liquid,
6:45
Speaker 1: which right now is one of the best. How do
6:47
Speaker 1: you guys compete when it comes to fees against trad fi.
6:51
Speaker 3: Our fees are up to like ten x lower than
6:53
Speaker 3: say robinhoods. So on Robinhood, if you buy bitcoin, you're
6:57
Speaker 3: paying a fee of sixty five bases points. You're also
7:01
Speaker 3: paying spreads on liquid. If you buy access to a coin,
7:05
Speaker 3: you're paying seven basis points, which is about ten x lower.
7:09
Speaker 3: Coinbasis fees are even higher. Coin based fees might be
7:12
Speaker 3: up to one hundred and thirty basis points for very
7:15
Speaker 3: very basic trades. So our fee structure is like ten
7:18
Speaker 3: x lower.
7:19
Speaker 2: Should Okay?
7:19
Speaker 1: So when people get started, should they start on paper
7:23
Speaker 1: mode first? Is that the kind of the plan for
7:27
Speaker 1: graduating into a full on coinvest strategy?
7:30
Speaker 3: I would So co invest supports a paper mode and
7:33
Speaker 3: a live mode. The paper mode.
7:35
Speaker 1: Too, explain the two so our audience can kind of
7:37
Speaker 1: understand absolutely.
7:39
Speaker 3: So paper mode is one in which you trade with
7:42
Speaker 3: a simulated balance. Right, here's ten thousand like marbles, and
7:46
Speaker 3: you can like use the marbles, but they're not None
7:49
Speaker 3: of that corresponds like real money. Right. But if you
7:52
Speaker 3: buy something and it goes up, you will get more marbles,
7:55
Speaker 3: and if you have if it goes down, then you
7:57
Speaker 3: have fewer marbles. It helps you gain confidence with platform.
8:01
Speaker 1: Does it tend some of that trading tactics that are
8:04
Speaker 1: happening in paper mode and apply it to the full
8:07
Speaker 1: real co invest mode once you go live?
8:09
Speaker 3: The tactics are usable between these, Okay, the tactics are
8:13
Speaker 3: completely reusable because I actually don't think Claude really knows
8:17
Speaker 3: whether you're in paper motor like or live mode. Right,
8:20
Speaker 3: So to Claude, it's all the same.
8:22
Speaker 1: Interesting, all right, So you gotta kind of address this
8:24
Speaker 1: because this is something that everybody wonders and I've wondered
8:28
Speaker 1: because we've you know, I've put a couple of Claude
8:31
Speaker 1: bots together. The first thing I run into is what
8:34
Speaker 1: I call the token wall co invest.
8:36
Speaker 2: Does it eat up tokens? What's the process for it.
8:39
Speaker 2: This is the tool.
8:41
Speaker 3: This is a fantastic question. Co invest. So there are
8:44
Speaker 3: a lot of products in the AI and trading space,
8:46
Speaker 3: but co invest is actually pretty different from how they
8:49
Speaker 3: tend to work. The typical AI trading product is like
8:52
Speaker 3: something you run in your terminal that you use and
8:55
Speaker 3: you tell it to go look up some data sources
8:57
Speaker 3: and like place some trades for you, whereas ours works
9:01
Speaker 3: in Claude's front end. One reason why we choose to
9:04
Speaker 3: locate ourselves in clouds front end is that this way
9:06
Speaker 3: Claude can sort of self improve from what you're doing,
9:09
Speaker 3: and it can get access to more information, and it
9:12
Speaker 3: also is easier to set up. But the second benefit
9:14
Speaker 3: is that as if you're already paying for Claude, co
9:17
Speaker 3: invest is essentially included free of charge. You don't have
9:21
Speaker 3: to pay for tokens if you use co invest. Right,
9:24
Speaker 3: if you're paying for a subscription of Cloud or using
9:26
Speaker 3: Claude free, you don't have to pay per token if
9:29
Speaker 3: you're using co invest, So co invest is essentially included
9:34
Speaker 3: for free with your Cloud subscription.
9:36
Speaker 1: Wow, Okay, that's going to probably get a lot of
9:39
Speaker 1: people excited about trying it, and you know, just for
9:41
Speaker 1: those that are out there.
9:42
Speaker 2: I think obviously I would test it in.
9:44
Speaker 1: A paper mode just to kind of get a feeling
9:46
Speaker 1: of how you want to expose this. Other things I
9:49
Speaker 1: want to kind of hit on. Is the news coming
9:51
Speaker 1: out of the DTCC. We saw the most recent you know,
9:55
Speaker 1: partnership with Steller. They're tokenizing securities around a settlement platform.
10:00
Speaker 1: When you look at the DTCC right now, are they
10:04
Speaker 1: would you consider them behind still with where this market
10:08
Speaker 1: is heading.
10:09
Speaker 3: The DTCC is like some kind of middleware. I understand
10:12
Speaker 3: why it exists. It is sort of the ultimate arbiter
10:17
Speaker 3: of whether you own a stock or not, right, but
10:20
Speaker 3: I think that the way they handle things can often
10:23
Speaker 3: be rather inefficient. They still, for example, impose like T
10:27
Speaker 3: plus one settlement. They require that a broker post collateral.
10:31
Speaker 3: So maybe you saw the robin Hood game Stop story
10:34
Speaker 3: where they asked robin Hood to give them, like to
10:36
Speaker 3: post three or four billion dollars of collateral to cover
10:39
Speaker 3: the game Stop shares just in case they were broken.
10:42
Speaker 3: None of that really makes sense. Like Robinhood, to their credit,
10:45
Speaker 3: got very lucky and was able to find four billion
10:47
Speaker 3: dollars to sort of post those shares. But that is
10:50
Speaker 3: very strange. That shouldn't need to happen. Like in crypto,
10:54
Speaker 3: we got it right. The tokens are in your wallet,
10:57
Speaker 3: whether they're stocks or whatever. Some random institute saying that
11:01
Speaker 3: like that they need four billion dollars does not affect
11:04
Speaker 3: whether that happens or not. If Liquid goes bankrupt, your
11:08
Speaker 3: assets are safe.
11:09
Speaker 1: That's the kind of a that's a huge feature right
11:12
Speaker 1: now with the way if liquid goes it works so right,
11:15
Speaker 1: if you put your money in FTX, it's gone.
11:17
Speaker 3: If Liquid goes bankrupt, your money is still there. You
11:20
Speaker 3: can access it through other means. Someone else can make
11:23
Speaker 3: a new version of co invest as a consequence, Like
11:26
Speaker 3: the DTCC would never ask us for four billion dollars
11:29
Speaker 3: because we are just a front end layer between you
11:32
Speaker 3: and the blockchain. You can interact with the blockchain any
11:35
Speaker 3: other way. There are a lot of reports that Robinhood
11:38
Speaker 3: almost went bankrupt in twenty twenty one because they were
11:40
Speaker 3: forced to pay this four billion dollar fine. They just
11:43
Speaker 3: scrounge up four billion dollars from all sorts of sources
11:46
Speaker 3: that kind of like make that happen. That's ridiculous, right,
11:49
Speaker 3: Like people were going to lose their life savings if
11:51
Speaker 3: Robinhood couldn't find four billion dollars, that doesn't make any
11:54
Speaker 3: sense at all.
11:55
Speaker 1: We have a theory that when you look at what's
11:59
Speaker 1: been going on in Iran, this this goes back to
12:02
Speaker 1: the reason that we've seen the rise of companies like
12:04
Speaker 1: hyper Liquid. Good example, right here, Zach was tweeting about
12:08
Speaker 1: this and this is in reference to the US are
12:10
Speaker 1: green to perpetual futures. But at the same time, all
12:14
Speaker 1: this growth was happening, you know, on hyper Liquid offshore,
12:19
Speaker 1: and it was mostly people looking to trade oil, you know,
12:22
Speaker 1: all sorts of different factors in it that they couldn't
12:25
Speaker 1: get access to. That of course changes dramatically here, you know,
12:29
Speaker 1: I think that do you feel like the Iran the
12:31
Speaker 1: Iran War was kind of responsible for getting purpose fast tracked?
12:35
Speaker 3: Absolutely? I think the Iran War made weekend trading kind
12:40
Speaker 3: of look way more inevitable.
12:42
Speaker 1: Yeah yeah, yeah, Well it exposed the entire market too,
12:46
Speaker 1: because you saw somebody moves happening on Friday afternoon and
12:49
Speaker 1: then boom. Obviously the twenty four to seven which is
12:52
Speaker 1: why I still am questioning at what the DTCC is
12:54
Speaker 1: going to be doing, you know, at twenty four to
12:57
Speaker 1: five how they would keep up with what's happening really
12:59
Speaker 1: on a gloe global market scale, so a big one.
13:02
Speaker 1: Now you hit a tweet right here talking about the
13:05
Speaker 1: SpaceX ipo. When you look at this right now, how
13:08
Speaker 1: can AI help manage your exposure to this ipo?
13:13
Speaker 3: That's a great question. So you can actually ask co invest, like,
13:17
Speaker 3: what does it think about SpaceX? I can actually show
13:20
Speaker 3: you a demo if you'd like, I've just connected co
13:22
Speaker 3: invest to my clout account.
13:24
Speaker 1: Talk to me about the SpaceX market and this is
13:27
Speaker 1: plugged in to co invest right now.
13:29
Speaker 3: Yeah, that's co invest, right, And so co invest will
13:32
Speaker 3: pull up a card, it'll talk about SpaceX. It'll say
13:34
Speaker 3: that it's trading at a share price of one hundred
13:37
Speaker 3: and ninety nine dollars. It'll say that the funding is
13:40
Speaker 3: dead flat at zero point zero zero percent. The big
13:44
Speaker 3: account skew is short. So another feature of co invest
13:47
Speaker 3: that's really cool that we didn't really get to go
13:49
Speaker 3: over is that co invest is access to a lot
13:52
Speaker 3: of to unchained data. So one thing people think about
13:56
Speaker 3: a lot in the trad fi world is how are
13:58
Speaker 3: people positioned? Right? Is the smart money long or is
14:01
Speaker 3: it short? And this is actually basically unknowable, because that's
14:05
Speaker 3: sort of how Tradify is designed, but here it's completely knowable.
14:08
Speaker 1: Do you think we'll see more AI tools out there,
14:11
Speaker 1: whether it's open AI, you look at what's happening with
14:14
Speaker 1: Gemini and even to a certain extent, maybe even perplexity.
14:18
Speaker 2: Do you think we'll see.
14:19
Speaker 1: More tools like this coming or are you guys looking
14:21
Speaker 1: to expand further? What's what's kind of the roadmap here
14:24
Speaker 1: for AI trading?
14:25
Speaker 2: In general?
14:26
Speaker 3: It seems pretty clear that the future will only have
14:29
Speaker 3: more and more AI. As a consequence, finance will have
14:32
Speaker 3: more and more AI in it. Co Invest has been
14:34
Speaker 3: out for a week less than a week as of
14:36
Speaker 3: this filming, and people have already done things on co
14:39
Speaker 3: invest that we are really shocked by. The way you
14:43
Speaker 3: we think of co invest is that we essentially just
14:46
Speaker 3: give every single lego brick to an AI and say
14:49
Speaker 3: do whatever you want with it, right, And sometimes it'll
14:53
Speaker 3: construct the same things that you laid out that you
14:55
Speaker 3: thought would be reasonable. But sometimes it assembles the pieces
14:59
Speaker 3: in the way that you never would have thought possible
15:02
Speaker 3: or you never thought to do.
15:03
Speaker 1: Well, we're going to test it in studio, so we'll
15:06
Speaker 1: definitely get a chance, we'll report back on this to
15:09
Speaker 1: the audience so they can kind of get it. I know,
15:10
Speaker 1: because this is very new, we're going to see a
15:12
Speaker 1: lot of new advancements, I think obviously with what you
15:14
Speaker 1: guys are doing at liquid x. But when you look
15:17
Speaker 1: at one of the biggest advantages right now and you
15:20
Speaker 1: think about what's happening with Clarity, and I'll just bring
15:23
Speaker 1: up the possibility I have a couple of questions here
15:25
Speaker 1: to ask. When you look at Clarity, there's two, I
15:28
Speaker 1: think two.
15:29
Speaker 2: Schools of thought. One is it's going to ban stable
15:32
Speaker 2: coin yields.
15:33
Speaker 1: That of course changes things to where maybe people utilizing vault.
15:37
Speaker 2: Tactics to be able to get yields.
15:39
Speaker 1: If you're using vault tactics, it seems like that would
15:42
Speaker 1: open up perfectly to something like a coinvest type product
15:46
Speaker 1: to manage vaults for the best opportunity of yields. Just
15:51
Speaker 1: with things like you know, USDC or any other stable
15:54
Speaker 1: coin out there or other assets that are earning yields.
15:58
Speaker 2: Do you see that becoming a.
15:59
Speaker 1: Product either of liquid x or others in the market.
16:03
Speaker 3: We absolutely plan to integrate vaults very very soon. Okay,
16:07
Speaker 3: in a few weeks there should be an announcement. We
16:10
Speaker 3: view vaults as kind of like programmable mutual funds of sort. Sure,
16:16
Speaker 3: historically mutual funds have spent some money on like research, right,
16:21
Speaker 3: but they spend most of their money on marketing themselves,
16:24
Speaker 3: and I think that's like a big failure, right, Like
16:26
Speaker 3: money should be allocated to the best, most capable allocators,
16:30
Speaker 3: not to like whoever is spending the most on ads
16:33
Speaker 3: that extent. We're really excited to have co invest like
16:37
Speaker 3: analyze vaults and then direct people to like say, hey,
16:41
Speaker 3: this vault is safe, Hey that vault is unsafe, because,
16:44
Speaker 3: as you know, sometimes vaults go bad, right, Sometimes volts
16:46
Speaker 3: get rugged, sometimes they get hacked, sometimes they make trades
16:50
Speaker 3: that go against them, and co invests should be able
16:53
Speaker 3: to much more easily diligence these and kind of help
16:57
Speaker 3: people avoid getting scammed. That's actually what I'm most excited
17:00
Speaker 3: with co invest. Crypto has a somewhat shady history with
17:03
Speaker 3: a lot of scams. Fundamentally, the reason that scams happen
17:06
Speaker 3: is because people are just you know, too overwhelmed with
17:10
Speaker 3: information to really always make the correct decisions. And hopefully
17:14
Speaker 3: co invests can help them, can empower them to make
17:16
Speaker 3: better and smarter decisions.
17:18
Speaker 1: Last question I have for you is the Clarity Act itself.
17:21
Speaker 1: If this thing goes into law this year, what kind
17:24
Speaker 1: of impact would that have on Liquid I am.
17:26
Speaker 3: Very excited that the Clarity Act will sort of add,
17:30
Speaker 3: you know, clarity to this entire space. A lot of
17:33
Speaker 3: the things we've been doing have been kind of difficult
17:36
Speaker 3: to ascertain whether they were legal or not. And once
17:39
Speaker 3: we have regulatory clarity, every player can kind of play
17:42
Speaker 3: on the same grounds. So I'm really excited for fair
17:45
Speaker 3: and transparent competition as opposed to like, right now, there's
17:49
Speaker 3: a guessing game over like, you know, is this okay?
17:53
Speaker 3: Is this not okay? If we do this? Because if
17:55
Speaker 3: we don't do this because we don't think it's okay
17:57
Speaker 3: and our competitor does it, are they going to get
17:59
Speaker 3: an advantage? There's so many of this, like, so much
18:02
Speaker 3: of this, like you know, just bs going on. I
18:05
Speaker 3: am really excited to kind of just follow the rules,
18:09
Speaker 3: follow the rules with everyone else, and then see who winds.
18:13
Speaker 2: Yeah, yeah, well I like that. I mean that's the
18:15
Speaker 2: key here.
18:15
Speaker 1: I think going forward, you guys aren learn little bit
18:18
Speaker 1: more over at Liquid dot Trade. If you want to
18:20
Speaker 1: learn about coinvest there. We're gonna do some testing on
18:23
Speaker 1: this internally. We'll report back to you guys, so we'll
18:27
Speaker 1: definitely give us some updates on that. Franklin, thanks so
18:29
Speaker 1: much for coming in today.
18:30
Speaker 3: We appreciate it absolutely. Thanks for having me, Paul.
18:40
Speaker 1: If you like this video, hit like and subscribe, drop
18:42
Speaker 1: a comment down below, and also join our free private
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Speaker 1: member group.
18:46
Speaker 2: The link is in the description.