WEBVTT -  Luana Lopes Lara on Kalshi’s CFTC Approval Journey 

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<v Speaker 1>M. This is Mesters in Business with Very Results on

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<v Speaker 1>Bloomberg Radio. This week on the podcast, I have an

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<v Speaker 1>extra special guest, Luana Lopez. Laura is a co founder

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<v Speaker 1>of CALCI. They are a derivatives trading marketplace where you

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<v Speaker 1>can go and trade event contracts on such disparate occurrences

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<v Speaker 1>such as COVID nineteen, economic outcomes, interest rates, Federal Reserve, politics,

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<v Speaker 1>climate and weather, culture, the Oscars, the Grammys, science and technology,

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<v Speaker 1>all sorts of really fascinating places. They are the only

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<v Speaker 1>such marketplace that has been approved for this sort of

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<v Speaker 1>events trading by the Commodities Futures UH Trading Commission, the CFTC,

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<v Speaker 1>which makes them both fascinating and unique. There's nothing else

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<v Speaker 1>like them. UH. This pro vides away for individuals and

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<v Speaker 1>institutions to hedge all sorts of really interesting events and

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<v Speaker 1>as opposed to having think about, well, if this happens,

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<v Speaker 1>what's the ramification in gold or oil or inflation or

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<v Speaker 1>interest rates, you can actually bet on that exact event

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<v Speaker 1>and hedge your business or your portfolio. It's really quite fascinating.

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<v Speaker 1>I thought this was a really interesting conversation and I

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<v Speaker 1>think you will also so with no further too, my

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<v Speaker 1>conversation with cal She co founder Luana Lopez Laura. This

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<v Speaker 1>is Mesters in Business with Very Results on Bloomberg Radio.

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<v Speaker 1>My special guest this week is Luana Lopez Laura. She

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<v Speaker 1>is the co founder of Calci, one of the only

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<v Speaker 1>derivative trading marketplaces that allows the trading of a event

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<v Speaker 1>contracts in order to hedge against major business and political events.

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<v Speaker 1>CALCI is the only marketplace to receive approval from the

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<v Speaker 1>Commodity Futures Trading Commission, who regulates the trillion dollar derivatives industry.

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<v Speaker 1>Luana Lopez Laura, Welcome to Bloomberg. Thank you so much.

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<v Speaker 1>I'm very happy to be here. So so let's start

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<v Speaker 1>just with that unusual UM intro. You're the only CFTC

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<v Speaker 1>approved way to trade on the outcome of events. Explain

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<v Speaker 1>that a little bit right exactly, UM. Cal She is

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<v Speaker 1>a financial exchange that allows people to trade on the

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<v Speaker 1>outcome of a lot of different events. UM. So things

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<v Speaker 1>from will inflation keep going as high as it is

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<v Speaker 1>right now? Will the Feds raise rates to like? Will

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<v Speaker 1>twenty twenty two be the hottest year on record? Um?

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<v Speaker 1>And already sets us A part is that we're the

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<v Speaker 1>only the first and only ones regulated by the CFTC

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<v Speaker 1>to do this um in the United States. So let's

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<v Speaker 1>talk about that, because I love this story about you guys,

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<v Speaker 1>you and your co founder. You start calling attorneys and

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<v Speaker 1>one day you end up calling like sixty or seventy

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<v Speaker 1>lawyers in a single day, and pretty much every one

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<v Speaker 1>of them said, people have been trying to do this

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<v Speaker 1>since the nineteen eighties. It's never been approved. Just forget

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<v Speaker 1>about it. It's not happening to tell us about that, right. So,

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<v Speaker 1>we really wanted to build Cauchi the right way, so

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<v Speaker 1>to be that exchange that is sustainable and can be

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<v Speaker 1>a pillar of the financial world. UM. We wanted to

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<v Speaker 1>make this really big, get the right partners on board,

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<v Speaker 1>and really try to build something that's gonna out last

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<v Speaker 1>seeing me, you know, like c's around there for like

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<v Speaker 1>a hundred fifty years. And the way to do that

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<v Speaker 1>for us was to build a proper financial exchange, build

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<v Speaker 1>this right. Uh. And we knew that getting regulated was

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<v Speaker 1>the first step in like figuring out how to do

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<v Speaker 1>it right. But obviously me and my co founder of

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<v Speaker 1>both computer scientists, we knew nothing about regulations. So we

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<v Speaker 1>sat down and put on a spreadsheet that names and

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<v Speaker 1>and emails of five different lawyers that we thought maybe

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<v Speaker 1>could be related to this, and we called one by one.

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<v Speaker 1>I think we split who was gonna call um who,

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<v Speaker 1>and all of them were just like, that's not gonna happen.

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<v Speaker 1>The CFC won't allow this. It has already they already

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<v Speaker 1>said no to this in the past. Um. But because

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<v Speaker 1>of a friend of a friend of a friend, we

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<v Speaker 1>ended up getting to Jeff Benman, who works with us

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<v Speaker 1>to today. Uh, he's an ex official the CFTC, and

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<v Speaker 1>he really understood the commission and helped us navigate started

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<v Speaker 1>helping us start navigating the entire situation. Um. And Yeah,

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<v Speaker 1>it was two years of of that entire engagement and

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<v Speaker 1>iteration of the CFTC with all their core principles and

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<v Speaker 1>concerns that they had that to address them and really

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<v Speaker 1>end up getting regulated in November. So it sounds like

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<v Speaker 1>it wasn't so much that the CFTC was against the

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<v Speaker 1>idea of event contracts in order to hedge on these circumstances.

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<v Speaker 1>They just didn't like what was um presented them previously

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<v Speaker 1>over the previous forty years, or did something change that

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<v Speaker 1>they suddenly said Oh, we used to think this was

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<v Speaker 1>a bad idea, and now we think it's a good idea.

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<v Speaker 1>I think it was it's more of the first I

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<v Speaker 1>think it was about presenting to them why we thought

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<v Speaker 1>event contracts were so important and how they could really

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<v Speaker 1>be used for hedging um and every day hedging like

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<v Speaker 1>like retail and Americans every day can hedge things like inflation,

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<v Speaker 1>like rates, the risks that we see and read about

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<v Speaker 1>like in the news or or on TV every day. Uh.

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<v Speaker 1>And it was really like presenting to them and getting

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<v Speaker 1>them to comfort with how these markets work, how they

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<v Speaker 1>weren't easy to manipulate, how the rules could could operate.

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<v Speaker 1>So really getting them to comfort with how the exchange,

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<v Speaker 1>the markets, and all of our contracts could could operate.

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<v Speaker 1>And that's what took that long. It wasn't um in

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<v Speaker 1>my opinion. It was more like explaining what we wanted

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<v Speaker 1>to do. They were fantastic from the beginning to really

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<v Speaker 1>listening and working with us. UM. It wasn't that they

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<v Speaker 1>were just like, no, wait, we're never going to do this.

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<v Speaker 1>I think it's interesting that it took people from outside

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<v Speaker 1>of the world to finance to bring an idea into

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<v Speaker 1>finance from a technology perspective and say, whatever the logistical

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<v Speaker 1>hurdles we have to meet in order to receive regulatory approval.

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<v Speaker 1>That wasn't like an ideological problem to you, was a well,

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<v Speaker 1>this is a logistical problem that we have to solve,

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<v Speaker 1>and once we solve it, we can get this going.

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<v Speaker 1>So how long did the back and forth with the

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<v Speaker 1>CFTC take to get approval? Yeah, it was two years

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<v Speaker 1>or two years and a half. Um. And yeah, we

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<v Speaker 1>used to say, it's like we were climbing a very

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<v Speaker 1>high mountain, and then as we would started climbing more,

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<v Speaker 1>we would see it's actually so, I says high, and

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<v Speaker 1>we would keep and it would keep multiplying. Because the

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<v Speaker 1>thing is we would go to them and they would

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<v Speaker 1>have concerns and issues, so we would go back and

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<v Speaker 1>solve the issues. A lot of it, as you mentioned,

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<v Speaker 1>was related to technology really doing analysis and similar markets,

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<v Speaker 1>what we could do and view the surveillance systems and

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<v Speaker 1>all of those things, and going back to them and

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<v Speaker 1>then they're like, okay, that's fine, but we have all

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<v Speaker 1>these other issues now, and then we would go back

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<v Speaker 1>and and figure them out and do that one by one. Um.

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<v Speaker 1>It was like walking in the desert a little bit.

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<v Speaker 1>We didn't know where where the end was, but it

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<v Speaker 1>ended up working out. So so let's talk a little

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<v Speaker 1>bit about your platform. This is unlike futures, and it's

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<v Speaker 1>unlike derivatives in that when you are purchasing a contract,

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<v Speaker 1>you're putting up the full dollar amount. It's not like

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<v Speaker 1>where you're putting up ten cents on the dollar or

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<v Speaker 1>one cent on the dollar. If you're making a thousand

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<v Speaker 1>dollar bet, you were posting a thousand dollars. How much

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<v Speaker 1>did that factor influence the CFTC that this wasn't just

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<v Speaker 1>going to be reckless speculation and people um falling around.

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<v Speaker 1>This was really hedging right. So we are fully cash collateralized.

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<v Speaker 1>So every as you said, every dollar that you can lose,

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<v Speaker 1>every dollar that you your trade, you have to have

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<v Speaker 1>it with us before UM. And I think this really

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<v Speaker 1>helps with the safety off the platform, and it really

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<v Speaker 1>started from us. UM. We really want to start in

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<v Speaker 1>a way that it's very safe for everyone and we

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<v Speaker 1>can really understand the system before going like too far ahead. UM,

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<v Speaker 1>and we really see this as very important. So all

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<v Speaker 1>the funds are fully cash collatalized, but obviously from from

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<v Speaker 1>the CFTC perspective. It adds to their comfort to the

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<v Speaker 1>fact that there can be like leverage or marginal more

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<v Speaker 1>risk added to the system that all the money's collatalized

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<v Speaker 1>and the retail is protected because of that. So equities

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<v Speaker 1>you can put up half the dollar amount. Two to

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<v Speaker 1>one futures are something like ten to one options. If

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<v Speaker 1>you go out of out of the money and far

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<v Speaker 1>enough into the future, it's it's a hundred to one.

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<v Speaker 1>Is there ever a plan to move away from the

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<v Speaker 1>one to one dollar for dollar Maybe not option hundreds

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<v Speaker 1>on one, but certainly margin and equity market seems to

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<v Speaker 1>be pretty reasonable at two to one UM. At the moment,

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<v Speaker 1>we really focused on retail and fully cash collateralization fullick

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<v Speaker 1>being fully cash colatalized UM. But at in the future,

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<v Speaker 1>as think, our goal is to be like the New

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<v Speaker 1>York Stock Exchange for events, so having being really the

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<v Speaker 1>central place of the ecosystem and having like different brokers

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<v Speaker 1>and institutions, hedge funds, market makers plugged into us the exchange.

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<v Speaker 1>At that point it would make sense to start considering

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<v Speaker 1>UM something like that, But right now we're completely focused

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<v Speaker 1>on retail and UM having a fully cash glatalized stuff.

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<v Speaker 1>Once it becomes a big institutional exchange, then then you

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<v Speaker 1>can explore that. So since it's retail, let's talk a

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<v Speaker 1>little bit about retail. Gamification is a real big issue.

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<v Speaker 1>We've seen robin Hood do this, We've seen a number

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<v Speaker 1>of other UH sports gambling platforms doing this. What are

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<v Speaker 1>your thoughts about gamification when it comes to events trading. Yeah,

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<v Speaker 1>I think the gamification question is a very interesting one

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<v Speaker 1>because I think it's less about the asset class and

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<v Speaker 1>more about the actual platform and the mechanics. So, for example,

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<v Speaker 1>you can trade equities on robin Hood or Charles shob Um.

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<v Speaker 1>The conversation about gamification is a lot more on Robin

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<v Speaker 1>hood Um then Altarl shrob even though the underlying like

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<v Speaker 1>it's the same, you're trading equities. So we really believe

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<v Speaker 1>event contracts are have a very big economic purpose and

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<v Speaker 1>can be used for hedging and all of those things

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<v Speaker 1>that we talked about, and the gamification would come only

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<v Speaker 1>in the platform. But we're very, very um focused on

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<v Speaker 1>beauting a platform that's safe, easy to understand and to use,

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<v Speaker 1>but not not gamified. So let's go over some of

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<v Speaker 1>the type of events that you guys trade. You could

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<v Speaker 1>you can make bets on COVID nineteen and vaccination, on economics, inflation,

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<v Speaker 1>mortgage rates, politics, climate and weather, world culture, science and technology.

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<v Speaker 1>Let's let's uh, let's take some examples from this. I

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<v Speaker 1>love the idea, will the thirty year fixed rate mortgage

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<v Speaker 1>be above three point nine percent on April fift In

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<v Speaker 1>other words, if I'm buying a house and closing on

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<v Speaker 1>it and concerned that rates might rise, I could take

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<v Speaker 1>a trade against that and hedge that position. And I

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<v Speaker 1>don't have to be a billion dollar hedge fund. I

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<v Speaker 1>could just be someone buying a house exactly. I think

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<v Speaker 1>all of our contracts UM have economics purpose and they

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<v Speaker 1>can really be used for hedging. UM. For example, all

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<v Speaker 1>of our COVID markets during the omicron wave, you could

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<v Speaker 1>really see, like even before the news started reporting it

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<v Speaker 1>UM the amount that it was ticking up, and then

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<v Speaker 1>we would talk to the users and there, oh wow,

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<v Speaker 1>like I might not be able to go back to school.

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<v Speaker 1>I want to hedge like that that situation and all

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<v Speaker 1>of that UM. SO a lot of the contracts I'm

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<v Speaker 1>very interested in. For example, is the half point rate

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<v Speaker 1>hike for for March. I think it's it's a market

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<v Speaker 1>that went up a lot to during I think one

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<v Speaker 1>of the there was some news that that he was

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<v Speaker 1>going to go up by that and then he went

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<v Speaker 1>down again, and and um. Other ones are GDP and inflation.

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<v Speaker 1>Really just getting into the economic situation we have in

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<v Speaker 1>nowadays number of Americas. So these are all yes or

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<v Speaker 1>no contracts, pretty clearly determined. It's black and white. Will

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<v Speaker 1>two hundred and fifty four million Americans be vascinated by

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<v Speaker 1>May one? But I saw a contract will America achieve

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<v Speaker 1>her immunity by September one? Who is the determiner of

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<v Speaker 1>whether or not her immunely? How do you define those terms? Yeah,

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<v Speaker 1>that's a great question. All of our markets are like

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<v Speaker 1>legal binding documents, so they're like forty pages determining what

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<v Speaker 1>the real rules are, uh to really make sure that

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<v Speaker 1>there's no room for indeterminacy or anything of the sort.

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<v Speaker 1>Uh So this market specifically, I'm not exactly sure. I

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<v Speaker 1>think it's definitely the CDC or some number around there.

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<v Speaker 1>But if you like all of our rules, if you

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<v Speaker 1>go to our rule book, it has very specifically defining

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<v Speaker 1>um where which number we're using, how we're using, which target,

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<v Speaker 1>if it has to be above or below a certain

0:12:50.080 --> 0:12:52.920
<v Speaker 1>number and it ends up being very determined. But for

0:12:52.960 --> 0:12:56.480
<v Speaker 1>COVID markets, we're using CDC numbers for settlement sources. So

0:12:56.520 --> 0:13:00.240
<v Speaker 1>I mentioned world culture. Um, that's kind of interest thing.

0:13:00.800 --> 0:13:03.079
<v Speaker 1>Is there a lot of activity in who's gonna win

0:13:03.160 --> 0:13:05.679
<v Speaker 1>Best Picture or who's going to be the best actress

0:13:05.679 --> 0:13:09.040
<v Speaker 1>at the oscars? How is that a seasonal thing when

0:13:09.080 --> 0:13:12.360
<v Speaker 1>each year or how does that trade? Yeah, the launching

0:13:12.360 --> 0:13:15.319
<v Speaker 1>the oscar markets were was very important for us because

0:13:15.360 --> 0:13:19.000
<v Speaker 1>they were the very very first regulated derivatives I guess

0:13:19.040 --> 0:13:22.840
<v Speaker 1>in the entertainment industry and in academy awards. Um. We

0:13:22.920 --> 0:13:25.920
<v Speaker 1>have traded more than a hundred and fifty thousand contracts

0:13:26.240 --> 0:13:27.920
<v Speaker 1>in the oscars so far, and it's only been a

0:13:27.960 --> 0:13:30.760
<v Speaker 1>couple of weeks, and we really expect the trading there

0:13:30.800 --> 0:13:33.480
<v Speaker 1>to to be a lot higher closer to to the

0:13:33.520 --> 0:13:36.679
<v Speaker 1>ceremony or during the ceremony. UM. But it's interesting a

0:13:36.720 --> 0:13:38.560
<v Speaker 1>lot of people say that the oscars are are dead

0:13:38.640 --> 0:13:42.760
<v Speaker 1>or irrelevant, but the movie industry is so big to

0:13:42.880 --> 0:13:45.480
<v Speaker 1>nowadays that there's so much so many people that are

0:13:45.520 --> 0:13:48.120
<v Speaker 1>so impacted by the results of these awards and things

0:13:48.160 --> 0:13:50.960
<v Speaker 1>of the sort. Um. And yeah, well this is analogy point.

0:13:51.000 --> 0:13:54.599
<v Speaker 1>I think The interesting thing about the entertainment industry is

0:13:54.640 --> 0:13:56.760
<v Speaker 1>that you have awards, for example, like the Oscars or

0:13:56.800 --> 0:13:59.120
<v Speaker 1>the Grammys, that we also have markets on. But you

0:13:59.200 --> 0:14:04.560
<v Speaker 1>have weekly things, for example, album sales numbers, UM billboards,

0:14:04.760 --> 0:14:07.200
<v Speaker 1>charts and things like that that that we offer markets

0:14:07.200 --> 0:14:08.800
<v Speaker 1>on every week and have a lot of room for

0:14:08.880 --> 0:14:11.200
<v Speaker 1>like modeling and aupha and things of the sort. So

0:14:11.200 --> 0:14:14.280
<v Speaker 1>so I know, studios spend a lot of money on

0:14:14.880 --> 0:14:18.880
<v Speaker 1>marketing and promoting leading up to the Oscars, because if

0:14:19.160 --> 0:14:23.840
<v Speaker 1>let's say a small independent film wins Best Oscar, it

0:14:23.960 --> 0:14:27.120
<v Speaker 1>seems a you it gets a huge uptick in subsequent

0:14:27.640 --> 0:14:33.000
<v Speaker 1>box office and other sales or streaming rights. I'm wondering

0:14:33.040 --> 0:14:35.479
<v Speaker 1>if part of their marketing plan is going to include

0:14:36.120 --> 0:14:40.320
<v Speaker 1>hedging on Best Oscar. They can not only spend you know,

0:14:40.360 --> 0:14:43.400
<v Speaker 1>a million dollars on promotion, they could buy a contract

0:14:43.440 --> 0:14:47.840
<v Speaker 1>that offsets not winning Best Oscar. Yeah, that's our goal.

0:14:48.000 --> 0:14:50.200
<v Speaker 1>Let's forget all of them to come and really hedge

0:14:50.240 --> 0:14:52.880
<v Speaker 1>all this risk that they have. So so where's the

0:14:53.000 --> 0:14:57.560
<v Speaker 1>volume today? Where are you seeing the most amount of activity?

0:14:57.600 --> 0:15:01.560
<v Speaker 1>Is it? Is it inflation and fed activity? Is a GDP?

0:15:02.160 --> 0:15:06.040
<v Speaker 1>What where where's all the money flowing? On your platform. Right.

0:15:06.160 --> 0:15:09.680
<v Speaker 1>It's actually interesting because when we launched, we really expected

0:15:09.680 --> 0:15:13.560
<v Speaker 1>it to be categories specific or concentrated in specific UM

0:15:13.960 --> 0:15:18.800
<v Speaker 1>categories or economics, UM, entertainment, transportation, technology, But it really

0:15:18.880 --> 0:15:21.760
<v Speaker 1>is about what what the news are, So what's top

0:15:21.800 --> 0:15:24.240
<v Speaker 1>of the New York Times, what's in the newspaper the

0:15:24.240 --> 0:15:27.600
<v Speaker 1>whole day? Uh, what's in the news? And right now,

0:15:27.680 --> 0:15:31.880
<v Speaker 1>as you mentioned the Fed March meetings, is is very

0:15:32.080 --> 0:15:34.440
<v Speaker 1>is a very uh is a market with a lot

0:15:34.440 --> 0:15:38.800
<v Speaker 1>of right, it's very hot, yeah, for sure. But for us,

0:15:38.920 --> 0:15:41.920
<v Speaker 1>we've we've seen this like news based activity, a lot

0:15:42.000 --> 0:15:44.320
<v Speaker 1>like the onm ground wave um as like Dojo and

0:15:44.360 --> 0:15:46.480
<v Speaker 1>the infrastructure bill was passing, there was a lot of

0:15:46.520 --> 0:15:49.640
<v Speaker 1>activity over there, or when j. Powell was going to

0:15:49.720 --> 0:15:52.240
<v Speaker 1>get renominated, there was a lot of activity in that market.

0:15:52.560 --> 0:15:54.120
<v Speaker 1>So it's really about what's in the news and what

0:15:54.200 --> 0:15:56.880
<v Speaker 1>people see UM there was associated with and and where

0:15:56.920 --> 0:15:59.960
<v Speaker 1>they can they think there's most room to make money.

0:16:00.000 --> 0:16:03.280
<v Speaker 1>And right now the Federates UM people are really disagreeing

0:16:03.280 --> 0:16:05.280
<v Speaker 1>on that and there's a lot of volume of volatively

0:16:05.280 --> 0:16:08.000
<v Speaker 1>on that market. So so you guys didn't exist when

0:16:08.080 --> 0:16:11.800
<v Speaker 1>Brexit had come up. That was before your time. But

0:16:12.040 --> 0:16:15.720
<v Speaker 1>you have been around with Russia and Ukraine and I

0:16:15.840 --> 0:16:18.960
<v Speaker 1>noticed there's not a lot of activity there. Why not

0:16:19.160 --> 0:16:22.720
<v Speaker 1>do a futures contract on will Russia. It's obviously too

0:16:22.800 --> 0:16:26.160
<v Speaker 1>late today, but in January or December you could have

0:16:26.200 --> 0:16:30.720
<v Speaker 1>done a will Russia invade Ukraine by February one, March

0:16:30.800 --> 0:16:34.320
<v Speaker 1>first April one. Right, we avoid any contract that's related

0:16:34.360 --> 0:16:38.760
<v Speaker 1>to war, terrorism, assassination, or violence of any kind. Um.

0:16:38.960 --> 0:16:42.680
<v Speaker 1>We don't want to have those those markets on our platform. Um.

0:16:42.720 --> 0:16:45.960
<v Speaker 1>But we do have markets there are adjacent to that.

0:16:46.080 --> 0:16:48.480
<v Speaker 1>So for example, markets on the price of ruble or

0:16:48.600 --> 0:16:51.320
<v Speaker 1>or the price of oil natural gas in the US

0:16:51.360 --> 0:16:53.720
<v Speaker 1>and Europe, So we have markets that adjacent. We just

0:16:53.720 --> 0:16:57.680
<v Speaker 1>don't want to have markets directly related to war, terrorism, assassination,

0:16:57.760 --> 0:17:01.040
<v Speaker 1>or makes sense, you don't want to incentivize anybody misbehave.

0:17:02.160 --> 0:17:05.280
<v Speaker 1>In the past, I've heard futures described as a marriage

0:17:05.359 --> 0:17:09.760
<v Speaker 1>between hedgers and speculators. So if you're an airline, you

0:17:09.800 --> 0:17:13.160
<v Speaker 1>want to hedge the price of oil, but someone's got

0:17:13.160 --> 0:17:15.040
<v Speaker 1>to be on the other side of that trade, so

0:17:15.480 --> 0:17:19.000
<v Speaker 1>incomes the speculators. Are you seeing that same sort of

0:17:19.040 --> 0:17:23.639
<v Speaker 1>relationship amongst CALCI clients. Yeah, I think she is one

0:17:23.640 --> 0:17:26.520
<v Speaker 1>of the most pure forms of exactly this hedging and

0:17:26.560 --> 0:17:30.240
<v Speaker 1>speculation UM match. I think one a very simple example

0:17:30.280 --> 0:17:32.680
<v Speaker 1>to understand this. If you think of rain in New

0:17:32.720 --> 0:17:35.360
<v Speaker 1>York City right like you can have like an ice

0:17:35.400 --> 0:17:38.800
<v Speaker 1>cream truck buying. UH. An ice cream truck will be

0:17:38.840 --> 0:17:41.720
<v Speaker 1>ready really hit if if it rains for like a

0:17:41.720 --> 0:17:44.480
<v Speaker 1>lot of days, because people will buy less ice cream,

0:17:44.720 --> 0:17:46.879
<v Speaker 1>so they can buy a guess contract to really hedge

0:17:47.119 --> 0:17:50.240
<v Speaker 1>that offset that they have UM. On the other side,

0:17:50.240 --> 0:17:52.760
<v Speaker 1>there can be someone that is going to speculate and

0:17:52.800 --> 0:17:56.720
<v Speaker 1>seeing there's a forecast of for rain UM in the

0:17:56.800 --> 0:18:00.200
<v Speaker 1>next couple of days, and they're willing to take UM

0:18:00.640 --> 0:18:03.480
<v Speaker 1>the no side because they think that there's only twenty

0:18:03.480 --> 0:18:05.600
<v Speaker 1>percentages it's going to rain, and it seems like they

0:18:05.600 --> 0:18:07.520
<v Speaker 1>can make money. So then you can really have a

0:18:07.560 --> 0:18:09.560
<v Speaker 1>match of like people that actually need to have a

0:18:09.600 --> 0:18:12.920
<v Speaker 1>contract for hedging almost like insurance, and people who who

0:18:12.960 --> 0:18:16.040
<v Speaker 1>because of forecasting and probability and what they think the

0:18:16.080 --> 0:18:18.200
<v Speaker 1>fair value is, is going to take the other side.

0:18:18.480 --> 0:18:20.840
<v Speaker 1>And then at the settlement, for example, if it does rain,

0:18:21.160 --> 0:18:23.000
<v Speaker 1>it ends up being that everyone is happy because the

0:18:23.040 --> 0:18:27.400
<v Speaker 1>speculator makes money because they work correct. UH. The head

0:18:27.800 --> 0:18:31.520
<v Speaker 1>is protected against and the speculator on the trade right

0:18:31.600 --> 0:18:35.199
<v Speaker 1>exactly and exactly, you got it totally right. So let

0:18:35.480 --> 0:18:39.000
<v Speaker 1>that raises a really interesting question, who are your clients?

0:18:39.040 --> 0:18:43.159
<v Speaker 1>Are they hedge funds and institutions, are they retail investors

0:18:43.280 --> 0:18:45.399
<v Speaker 1>or is it a whole spectrum of people. Um, we

0:18:45.520 --> 0:18:48.879
<v Speaker 1>really focused now on on retail, and our our biggest

0:18:48.920 --> 0:18:51.560
<v Speaker 1>amount of users right now is the traditional option trader,

0:18:51.720 --> 0:18:55.960
<v Speaker 1>like informed retail option traders. UM. But the way that

0:18:56.000 --> 0:18:59.000
<v Speaker 1>we see this this growing is we want to keep

0:18:59.040 --> 0:19:02.080
<v Speaker 1>growing within the so trading an options trading community. And

0:19:02.119 --> 0:19:05.280
<v Speaker 1>then our next steps getting brokerages on board so that

0:19:05.320 --> 0:19:08.159
<v Speaker 1>you can now go and trade on event contracts for

0:19:08.280 --> 0:19:11.280
<v Speaker 1>your interactive brokers or each trade account um. And then

0:19:11.320 --> 0:19:14.560
<v Speaker 1>after debuting enough liquidity to start bringing more prop shops

0:19:14.560 --> 0:19:18.600
<v Speaker 1>in and smaller firms, and then hedge funds and and

0:19:18.640 --> 0:19:22.840
<v Speaker 1>then institutions and mimic can have maybe um burger king hedging, UM,

0:19:23.000 --> 0:19:25.439
<v Speaker 1>I don't know, price of plastic draws or something like that.

0:19:25.520 --> 0:19:29.840
<v Speaker 1>So so the platform eventually becomes an exchange exactly exactly.

0:19:29.840 --> 0:19:31.439
<v Speaker 1>I think we see it as a beaut up of

0:19:31.520 --> 0:19:35.639
<v Speaker 1>liquidity from from retail. That's like smaller amounts, but but

0:19:35.640 --> 0:19:39.720
<v Speaker 1>but higher velocity to to higher bigger and bigger institutions

0:19:39.920 --> 0:19:43.199
<v Speaker 1>all the way to become like a full flash financial

0:19:43.240 --> 0:19:45.159
<v Speaker 1>exchange like the New York Stock Exchange or seeing me.

0:19:45.480 --> 0:19:48.240
<v Speaker 1>So let's talk a little bit about how you guys,

0:19:48.320 --> 0:19:53.000
<v Speaker 1>you and your co founder created Calci. You kind of

0:19:53.040 --> 0:19:57.040
<v Speaker 1>were the opposite of Facebook. You know, Mark Zuckerberg famously

0:19:57.119 --> 0:20:01.760
<v Speaker 1>said move fast and break things. Companies like you and

0:20:02.040 --> 0:20:05.359
<v Speaker 1>coin base and block fi spent a lot of time

0:20:05.600 --> 0:20:09.720
<v Speaker 1>getting approval from the regulators. Tell us a bit about

0:20:09.840 --> 0:20:13.520
<v Speaker 1>why you took that approach as opposed to moving fast

0:20:13.520 --> 0:20:16.040
<v Speaker 1>and breaking things. Yeah. I think a lot of times

0:20:16.240 --> 0:20:19.280
<v Speaker 1>UM people are making the short term trade off for speed.

0:20:19.640 --> 0:20:22.440
<v Speaker 1>UM and in finance, I think it's different. You can,

0:20:22.440 --> 0:20:24.760
<v Speaker 1>obviously you go to market faster if you choose the

0:20:24.800 --> 0:20:27.840
<v Speaker 1>unregulated route, but with financed there's been like a lot

0:20:27.880 --> 0:20:32.439
<v Speaker 1>of historical examples of unregulated platforms getting meaningful volume and

0:20:32.440 --> 0:20:35.119
<v Speaker 1>then being shut down by regulators because they weren't properly

0:20:35.160 --> 0:20:38.080
<v Speaker 1>regulated and doing things right from the start. UM. We

0:20:38.119 --> 0:20:41.080
<v Speaker 1>really think that the opportunity really shrinks if if you

0:20:41.080 --> 0:20:43.680
<v Speaker 1>don't take regulation into account, because then you can't get

0:20:43.920 --> 0:20:47.040
<v Speaker 1>real money in the platform, you can't get real good partners,

0:20:47.080 --> 0:20:50.760
<v Speaker 1>as we just talked about brokers, market makers, hedge funds

0:20:50.760 --> 0:20:53.440
<v Speaker 1>on board. Sometimes you can't even offer products to you

0:20:53.560 --> 0:20:57.399
<v Speaker 1>ask customers. You really boxes into something small very quickly.

0:20:57.440 --> 0:20:59.600
<v Speaker 1>And and that's for us to be the New York

0:20:59.680 --> 0:21:02.240
<v Speaker 1>chockics change for events, because that's our goal. The only

0:21:02.240 --> 0:21:04.440
<v Speaker 1>way to do that was to do uh A right

0:21:04.520 --> 0:21:07.800
<v Speaker 1>from the start, going through the regulated path and and

0:21:08.000 --> 0:21:09.600
<v Speaker 1>eating on the cost of the two years and a

0:21:09.640 --> 0:21:13.200
<v Speaker 1>half waiting, but but making sure that we're set for success.

0:21:13.440 --> 0:21:16.800
<v Speaker 1>So you're your co founder, Turek Monsour. He was an

0:21:16.880 --> 0:21:21.960
<v Speaker 1>equity derivatives intern at Goldman Sachs in the same year

0:21:22.000 --> 0:21:25.800
<v Speaker 1>you were a quantitative trader at Citadel Securities. So you

0:21:25.840 --> 0:21:29.439
<v Speaker 1>guys both had a pretty bright career path had you

0:21:29.520 --> 0:21:32.960
<v Speaker 1>not decided to go out and launch this whole new platform.

0:21:33.119 --> 0:21:37.679
<v Speaker 1>Tell us what motivated you to say, Goldman Citadel, that

0:21:37.720 --> 0:21:41.119
<v Speaker 1>looks too easy, let's let's launch a new startup. Well

0:21:41.280 --> 0:21:44.520
<v Speaker 1>that that's funny because actually most of our M I

0:21:44.520 --> 0:21:46.800
<v Speaker 1>T time we were both very focused on just getting

0:21:46.800 --> 0:21:50.320
<v Speaker 1>finance jobs and never even thought about um starting a company.

0:21:50.359 --> 0:21:53.359
<v Speaker 1>But yeah, we were both very interested in math, financial

0:21:53.400 --> 0:21:58.000
<v Speaker 1>history finance from from the very start of our school years,

0:21:58.040 --> 0:22:00.600
<v Speaker 1>and and we worked at various finding show firms as

0:22:00.600 --> 0:22:03.159
<v Speaker 1>you Man Shtaric worked at Goldman UM, I worked at

0:22:03.200 --> 0:22:06.399
<v Speaker 1>Bridgewater UM, Five Rings Capital, which is a small prop shop,

0:22:06.440 --> 0:22:10.640
<v Speaker 1>and then Citadel Securities UM. At the internships, we really

0:22:10.680 --> 0:22:13.240
<v Speaker 1>saw the behavior that we say is the cowship behavior

0:22:13.600 --> 0:22:17.119
<v Speaker 1>over and over again. It's like firms making trading decisions

0:22:17.400 --> 0:22:20.040
<v Speaker 1>based on events. As we think the European Central Bank

0:22:20.080 --> 0:22:22.760
<v Speaker 1>is gonna raise rates, Let's take this massive position already

0:22:22.960 --> 0:22:25.800
<v Speaker 1>find the structure to make that work. But the idea

0:22:25.840 --> 0:22:28.960
<v Speaker 1>really crystallized in our heads when we were working both

0:22:29.000 --> 0:22:32.719
<v Speaker 1>together at Five Rings and there we were playing this

0:22:32.760 --> 0:22:35.000
<v Speaker 1>game almost the whole day. It's called the makeup market

0:22:35.040 --> 0:22:38.040
<v Speaker 1>game that people that the everyone would be putting like

0:22:38.119 --> 0:22:41.760
<v Speaker 1>bids and offers in the probability of something UM, and

0:22:41.800 --> 0:22:45.240
<v Speaker 1>then the other person can only tighten the spread or

0:22:45.600 --> 0:22:48.439
<v Speaker 1>or trade against you UM. And there was a single

0:22:48.480 --> 0:22:51.000
<v Speaker 1>there was a day that we were just trading, playing

0:22:51.000 --> 0:22:53.920
<v Speaker 1>this game the entire day. And then I, I don't

0:22:53.960 --> 0:22:56.960
<v Speaker 1>remember exactly what market it was, but I took a

0:22:57.040 --> 0:23:00.439
<v Speaker 1>massive position on Trump doing something I don't remember exactly

0:23:00.520 --> 0:23:03.119
<v Speaker 1>what it was UM, and everyone thought I was crazy

0:23:03.240 --> 0:23:04.760
<v Speaker 1>and and debated me a lot on that, but I

0:23:04.840 --> 0:23:07.199
<v Speaker 1>ended up being right UM. And then when I was

0:23:07.280 --> 0:23:09.720
<v Speaker 1>we were walking back to to where the insurance were staying,

0:23:10.280 --> 0:23:12.719
<v Speaker 1>it was stuck in my head like why isn't there

0:23:12.760 --> 0:23:14.720
<v Speaker 1>a place for people to do this? Like we love

0:23:14.920 --> 0:23:16.520
<v Speaker 1>doing this, We do this the whole day, like we

0:23:16.600 --> 0:23:19.880
<v Speaker 1>see in every place we work at, like very big

0:23:19.920 --> 0:23:22.320
<v Speaker 1>positions people were trading based on events, Like why is

0:23:22.359 --> 0:23:25.240
<v Speaker 1>there no place to do this? And then I sat

0:23:25.280 --> 0:23:27.520
<v Speaker 1>down and started talking to talk about it, like why

0:23:27.600 --> 0:23:29.960
<v Speaker 1>isn't there, why don't why don't we do it? Um?

0:23:30.000 --> 0:23:32.199
<v Speaker 1>And we stayed the whole night up talking about it,

0:23:32.280 --> 0:23:34.879
<v Speaker 1>and it was just something we were so passionate about

0:23:35.200 --> 0:23:38.240
<v Speaker 1>UM from the finance side, the product side, everything we

0:23:38.280 --> 0:23:41.520
<v Speaker 1>always loved and if it was gonna be someone to

0:23:41.520 --> 0:23:42.840
<v Speaker 1>figure it out, I was gonna be us. It just

0:23:42.880 --> 0:23:45.359
<v Speaker 1>didn't leave us the idea for another six months up

0:23:45.440 --> 0:23:48.600
<v Speaker 1>until we were like, okay, like this is a calling,

0:23:48.600 --> 0:23:51.440
<v Speaker 1>we have to do it. So when you say your

0:23:51.520 --> 0:23:56.320
<v Speaker 1>desks are and you guys are trading back in trading events,

0:23:57.240 --> 0:24:01.840
<v Speaker 1>you couldn't incredibly bet any sort of volume on events

0:24:01.960 --> 0:24:04.560
<v Speaker 1>like cal she does today, you had to go to

0:24:04.640 --> 0:24:08.399
<v Speaker 1>secondary or tertiary markets. So you're betting on gold, if

0:24:08.440 --> 0:24:11.560
<v Speaker 1>you're thinking about inflation, you're betting on oil. If you're

0:24:11.560 --> 0:24:15.399
<v Speaker 1>concerned about war, it's it's always once removed, which raises

0:24:15.400 --> 0:24:18.480
<v Speaker 1>the issue. Even if you're right, it may not express

0:24:18.480 --> 0:24:20.920
<v Speaker 1>itself in a market the same way that the bet

0:24:20.960 --> 0:24:23.439
<v Speaker 1>was supposed to go right exactly. I think that in

0:24:23.480 --> 0:24:26.080
<v Speaker 1>the beginning of COVID you had this exact thing happening

0:24:26.080 --> 0:24:28.119
<v Speaker 1>with the economy and how we would think about the

0:24:28.240 --> 0:24:31.600
<v Speaker 1>smp UM and the beauty about it in contracts is

0:24:31.640 --> 0:24:33.800
<v Speaker 1>that is direct exposure and what you think there's not

0:24:33.880 --> 0:24:36.200
<v Speaker 1>like a lot of variables for you to keep track

0:24:36.280 --> 0:24:38.879
<v Speaker 1>of or or think about are things that can go wrong.

0:24:39.080 --> 0:24:41.040
<v Speaker 1>That's why we also think it's very it's the most

0:24:41.080 --> 0:24:44.280
<v Speaker 1>like natural way of investing, especially if you think for

0:24:44.359 --> 0:24:47.200
<v Speaker 1>retail they can't like keep track or have food desks

0:24:47.200 --> 0:24:50.359
<v Speaker 1>of people trying to understand what's going on. It's a

0:24:50.400 --> 0:24:52.399
<v Speaker 1>lot easier to do when you have one opinion and

0:24:52.400 --> 0:24:55.399
<v Speaker 1>you have a very clear way to get the exposure

0:24:55.440 --> 0:24:58.160
<v Speaker 1>on what you believe and being right or wrong. So

0:24:58.160 --> 0:25:02.520
<v Speaker 1>so you've spoken about the gambling industry and how incentives

0:25:02.520 --> 0:25:07.640
<v Speaker 1>are somewhat cloudy. Um, how does your platform correct for that? Right?

0:25:07.640 --> 0:25:10.800
<v Speaker 1>The key part about gambling is that the house takes

0:25:10.800 --> 0:25:13.480
<v Speaker 1>the position in the bets, So the house has an

0:25:13.520 --> 0:25:16.120
<v Speaker 1>interest on the outcome of of the bet or or

0:25:16.200 --> 0:25:17.560
<v Speaker 1>the market if you want to call it that, but

0:25:17.600 --> 0:25:20.600
<v Speaker 1>it's more just the beat. We are just a financial exchange,

0:25:20.640 --> 0:25:22.719
<v Speaker 1>so you can think of Guacha as a matching engine.

0:25:22.840 --> 0:25:26.000
<v Speaker 1>We match people that believe something will happen with people

0:25:26.000 --> 0:25:28.560
<v Speaker 1>that believe something will not happen. Um. If they have

0:25:28.640 --> 0:25:32.000
<v Speaker 1>equivalent prices, we match them. So we have no uh

0:25:32.160 --> 0:25:34.760
<v Speaker 1>interest in in in whether the market will go away

0:25:34.760 --> 0:25:36.840
<v Speaker 1>in a certain way. We do have an affiliate trader

0:25:36.920 --> 0:25:39.600
<v Speaker 1>that's there to provide liquidity so that people can trade,

0:25:39.680 --> 0:25:42.399
<v Speaker 1>especially as we start the exchange, but the exchange doesn't

0:25:42.400 --> 0:25:46.000
<v Speaker 1>take any positions ever, we're simply matching other participant orders,

0:25:46.000 --> 0:25:48.400
<v Speaker 1>so there's no conflict of interest between us and our members.

0:25:48.440 --> 0:25:50.280
<v Speaker 1>So so when you look at a race track and

0:25:50.320 --> 0:25:54.040
<v Speaker 1>the odds are set on horses, those odds don't quite

0:25:54.080 --> 0:25:57.600
<v Speaker 1>add up, and the shortfall is the house take, so

0:25:57.680 --> 0:26:01.520
<v Speaker 1>it's never quite fifty fifty. What is it costs to

0:26:01.720 --> 0:26:05.400
<v Speaker 1>trade on this platform. What what's the so in other words,

0:26:05.400 --> 0:26:07.359
<v Speaker 1>if I'm betting a hundred dollars that something is going

0:26:07.400 --> 0:26:10.439
<v Speaker 1>to happen and I win, do I get two hundred

0:26:10.440 --> 0:26:13.120
<v Speaker 1>dollars back? Or how how does that work? Right? So,

0:26:13.119 --> 0:26:15.400
<v Speaker 1>so the way that it works is that the yes

0:26:15.480 --> 0:26:19.120
<v Speaker 1>and the noe prices are from one to and whoever's

0:26:19.240 --> 0:26:23.240
<v Speaker 1>right gets one dollar. UM. So let's say I'm buying

0:26:23.240 --> 0:26:25.520
<v Speaker 1>a yes for forty cents. It means there's someone buying

0:26:25.520 --> 0:26:28.359
<v Speaker 1>a no for sixty cents UM and if I am correct,

0:26:28.520 --> 0:26:31.400
<v Speaker 1>I make one dollar, which means I'm profiting sixty cents,

0:26:31.440 --> 0:26:34.159
<v Speaker 1>which is from my counter party. Right, what's the cost

0:26:34.200 --> 0:26:37.359
<v Speaker 1>of that trade? Meaning? How does calcie make money? And

0:26:37.400 --> 0:26:41.400
<v Speaker 1>I assume, since it's fully collateralized, there's a float that's

0:26:41.400 --> 0:26:45.160
<v Speaker 1>going to be a good source of revenue UM over time. UM.

0:26:45.359 --> 0:26:47.880
<v Speaker 1>We don't make money on float. All of our are

0:26:48.000 --> 0:26:50.560
<v Speaker 1>all of the user member funds are in a fully

0:26:51.119 --> 0:26:55.400
<v Speaker 1>regulated CFTC clearing house which is f t x UM derivatives,

0:26:55.400 --> 0:26:58.800
<v Speaker 1>the US derivatives there are clearing house UM and we

0:26:58.920 --> 0:27:00.719
<v Speaker 1>make money on the transaction and fee. So we have

0:27:00.760 --> 0:27:03.439
<v Speaker 1>a small transaction fee that varies on the price of

0:27:03.440 --> 0:27:06.400
<v Speaker 1>the contract. What is it average bullpark? What does that cost?

0:27:06.480 --> 0:27:09.840
<v Speaker 1>I think alright, So we will have a conversation after

0:27:09.840 --> 0:27:13.480
<v Speaker 1>we're done, and I will show you that. UM I

0:27:13.480 --> 0:27:16.400
<v Speaker 1>think it was Schwab when they moved to free trading,

0:27:17.080 --> 0:27:20.280
<v Speaker 1>their float became fifty seven percent of the revenue. So

0:27:20.320 --> 0:27:22.720
<v Speaker 1>we'll have a conversation. We'll see if we can help

0:27:23.119 --> 0:27:26.560
<v Speaker 1>raise your your revenue target and we'll go from there.

0:27:26.600 --> 0:27:30.280
<v Speaker 1>Because especially it's one thing if you're looking at events

0:27:30.280 --> 0:27:33.119
<v Speaker 1>that are days and weeks out, but if you're making

0:27:33.160 --> 0:27:38.800
<v Speaker 1>bets on will be the hottest year in history. Hey,

0:27:38.800 --> 0:27:42.720
<v Speaker 1>you're sitting with that money for twelve, eleven, ten months.

0:27:42.440 --> 0:27:45.000
<v Speaker 1>There's a lot of top line to be gained from

0:27:45.040 --> 0:27:47.600
<v Speaker 1>from a little float. We'll we'll work that out with

0:27:47.600 --> 0:27:50.600
<v Speaker 1>the SEFTC. That'll be that'll be easy. You guys raised

0:27:50.720 --> 0:27:54.760
<v Speaker 1>thirty six million dollars in a series A. Sequoia Capital

0:27:55.000 --> 0:27:59.120
<v Speaker 1>was the lead, probably the most storied venture capital firm

0:27:59.160 --> 0:28:02.560
<v Speaker 1>in Silicon Valle. Charles Schwab not the entity I was

0:28:02.600 --> 0:28:06.040
<v Speaker 1>talking earlier about Charles Swab in the float, but Mr

0:28:06.160 --> 0:28:10.880
<v Speaker 1>Charles Swab was an investor. Henry Cravis is an investor

0:28:11.160 --> 0:28:15.200
<v Speaker 1>Silicon Valley angel Um is one of the early investors.

0:28:15.240 --> 0:28:18.760
<v Speaker 1>And were you at y Combinator when you were first launching. Yeah, so,

0:28:18.760 --> 0:28:23.520
<v Speaker 1>so that's quite an esteemed list of of people who said, hey,

0:28:23.520 --> 0:28:26.280
<v Speaker 1>there's some value here. Tell us a little bit about

0:28:26.320 --> 0:28:30.439
<v Speaker 1>the experience UM at ye Combinator and then doing an

0:28:30.480 --> 0:28:33.400
<v Speaker 1>a round with some really bold faced names. Yeah, our

0:28:33.480 --> 0:28:36.720
<v Speaker 1>experience at White Combinator was actually very different from most

0:28:36.720 --> 0:28:40.240
<v Speaker 1>of the other startups. Like we were measuring regulatory traction

0:28:40.600 --> 0:28:43.800
<v Speaker 1>um and other start ups are measuring user growth or

0:28:44.080 --> 0:28:47.720
<v Speaker 1>revenue or or things things of the sort. Um. Yeah,

0:28:47.800 --> 0:28:50.080
<v Speaker 1>and about the Series A, getting a d c M

0:28:50.240 --> 0:28:53.040
<v Speaker 1>was was a key part of of that Series A.

0:28:53.120 --> 0:28:55.680
<v Speaker 1>I think cow she is really one of those asymmetric

0:28:55.720 --> 0:28:58.880
<v Speaker 1>type of investments. Um, We're going to face obviously a

0:28:58.920 --> 0:29:01.400
<v Speaker 1>lot of challenges, and but we if we execute against

0:29:01.400 --> 0:29:04.800
<v Speaker 1>the challenges, we're got to have massive outlier potential. And

0:29:04.840 --> 0:29:09.000
<v Speaker 1>we were really trying to find partners and investors. They

0:29:09.120 --> 0:29:12.400
<v Speaker 1>really understood the long term vision of the company and

0:29:12.440 --> 0:29:15.680
<v Speaker 1>shared that obsession that we have with event contracts and

0:29:15.680 --> 0:29:19.800
<v Speaker 1>and buting this entire trading ecosystem. UM. So Alfred from

0:29:19.800 --> 0:29:23.000
<v Speaker 1>Sequoia is one of those people he did a PhD

0:29:23.400 --> 0:29:26.200
<v Speaker 1>in these types of markets. He really really understands it

0:29:26.240 --> 0:29:30.320
<v Speaker 1>and sees the potential and obviously it's it's it's Sequoia, Sequoia,

0:29:30.360 --> 0:29:32.920
<v Speaker 1>as you said, So that was that was definitely something

0:29:32.960 --> 0:29:36.920
<v Speaker 1>we thought about. But but Alfred specifically has historically invested

0:29:36.960 --> 0:29:39.360
<v Speaker 1>in a lot of like paradigm shifting companies like Airbnb

0:29:39.440 --> 0:29:41.360
<v Speaker 1>and door Dash, so he really thought it was a

0:29:41.360 --> 0:29:43.760
<v Speaker 1>good it was a good fit. Um. And then after

0:29:43.760 --> 0:29:46.320
<v Speaker 1>Sequoia was our lead investor, we were really trying to

0:29:46.360 --> 0:29:49.080
<v Speaker 1>feel the round with Wall Street investors that could really

0:29:49.080 --> 0:29:52.640
<v Speaker 1>help us navigate this industry. UM. So yeah, talk my

0:29:52.680 --> 0:29:57.240
<v Speaker 1>co founder. He's obsessed with barbarians at the gate. So

0:29:57.240 --> 0:30:01.600
<v Speaker 1>so when um right, So when when one of our

0:30:02.120 --> 0:30:05.640
<v Speaker 1>seating vessels, Joli Barto vi Um said he could intro

0:30:06.000 --> 0:30:08.760
<v Speaker 1>and we could talk to Henry, I think um Taric

0:30:08.920 --> 0:30:12.800
<v Speaker 1>was just like absolutely fascinated and they had a fantastic conversation.

0:30:12.880 --> 0:30:15.360
<v Speaker 1>He was very interested from from the very beginning, and

0:30:15.440 --> 0:30:17.920
<v Speaker 1>with with Charles Schab it was something similar. It was

0:30:17.960 --> 0:30:21.640
<v Speaker 1>also Ali Bartovi introguing us too. To him also very

0:30:21.640 --> 0:30:24.160
<v Speaker 1>interested from the start, and he actually told us that

0:30:24.800 --> 0:30:26.720
<v Speaker 1>our early days that call she looked very similar to

0:30:26.880 --> 0:30:29.720
<v Speaker 1>his early days starting Charles Schwab, So that was very

0:30:29.720 --> 0:30:32.200
<v Speaker 1>exciting and and yeah, they help us so much to today,

0:30:32.240 --> 0:30:35.080
<v Speaker 1>so it's fantastic. The funny thing about Schwab is people

0:30:35.080 --> 0:30:37.640
<v Speaker 1>don't realize the guy you see with the gray hero

0:30:37.760 --> 0:30:41.480
<v Speaker 1>and commercials, that's Charles Swab. That's not an actor. He

0:30:41.640 --> 0:30:44.480
<v Speaker 1>really exists and has been running the company. Now I

0:30:44.480 --> 0:30:48.240
<v Speaker 1>think he's UM chairman, but that was really him for

0:30:48.240 --> 0:30:50.080
<v Speaker 1>for a long time. So so let's talk a little

0:30:50.080 --> 0:30:54.640
<v Speaker 1>bit about vent hedging. And I like this quote. These

0:30:54.680 --> 0:30:57.960
<v Speaker 1>markets are a little like an aggregator of public opinion

0:30:57.960 --> 0:31:01.080
<v Speaker 1>in real time. So so what are the implications of

0:31:01.080 --> 0:31:04.160
<v Speaker 1>this And is that the sort of stuff your UM

0:31:04.440 --> 0:31:10.040
<v Speaker 1>lead investor at Sequoia was studying when he went to school, right, Um, yeah,

0:31:10.040 --> 0:31:12.320
<v Speaker 1>this is a very important part of our vision UM

0:31:12.360 --> 0:31:14.920
<v Speaker 1>over time, we really want CALCI to become the sorts

0:31:14.920 --> 0:31:17.760
<v Speaker 1>of truth for forecasting these events that we have markets

0:31:17.800 --> 0:31:20.760
<v Speaker 1>on because because the prices that call should go from

0:31:20.760 --> 0:31:24.280
<v Speaker 1>one to n cents, they directly translate to the probability

0:31:24.360 --> 0:31:27.680
<v Speaker 1>of the event happening. So let's say, uh, the market

0:31:27.840 --> 0:31:30.400
<v Speaker 1>might be saying there's a twenty percentions there's a recession

0:31:30.400 --> 0:31:34.160
<v Speaker 1>this year. UM. It means the twenty cents means that

0:31:34.160 --> 0:31:36.720
<v Speaker 1>there's a twenty percentions that the market believes there's a

0:31:36.760 --> 0:31:39.080
<v Speaker 1>twenty percentions that there will be a recession this year.

0:31:39.640 --> 0:31:41.960
<v Speaker 1>And the amazing thing is that there's a lot of

0:31:42.000 --> 0:31:46.080
<v Speaker 1>theoretical and empirical evidence that they are the most effective

0:31:46.120 --> 0:31:48.960
<v Speaker 1>and most accurate ways of forecasting the future. They're way

0:31:49.000 --> 0:31:51.320
<v Speaker 1>better than polls, way better than like pundits on on

0:31:51.360 --> 0:31:54.640
<v Speaker 1>the news trying to uh say what's going on? Um.

0:31:54.760 --> 0:31:56.640
<v Speaker 1>And it's mainly for two reasons. I think. The first

0:31:56.680 --> 0:31:59.840
<v Speaker 1>one is because when people put money where their mouth is,

0:32:00.280 --> 0:32:02.920
<v Speaker 1>they are more more likely to say what they really

0:32:02.920 --> 0:32:05.959
<v Speaker 1>think and actually do research and everything. And the second

0:32:05.960 --> 0:32:08.520
<v Speaker 1>one is that markets really aggregate the wisdom of the crowds.

0:32:08.560 --> 0:32:11.240
<v Speaker 1>You're getting a lot of different people's opinions when they're

0:32:11.240 --> 0:32:14.120
<v Speaker 1>putting money behind their opinion and really aggregating that, and

0:32:14.160 --> 0:32:16.360
<v Speaker 1>which makes there's a very powerful tool. And I mean

0:32:16.400 --> 0:32:20.600
<v Speaker 1>any market lover understands what I'm saying, um and yeah,

0:32:20.720 --> 0:32:23.160
<v Speaker 1>making and and part of our our vision and what

0:32:23.240 --> 0:32:25.800
<v Speaker 1>we really want to do long long term is make

0:32:25.880 --> 0:32:28.880
<v Speaker 1>these forecasts score to people's lives. UM. It's really part

0:32:28.880 --> 0:32:32.320
<v Speaker 1>of our mission with with event contracts becoming more widespread,

0:32:32.520 --> 0:32:34.560
<v Speaker 1>we really hope that people we use data in their

0:32:34.560 --> 0:32:38.240
<v Speaker 1>lives to prepare better for the future, addressed uncertainty, inform

0:32:38.360 --> 0:32:41.240
<v Speaker 1>themselves better, and like try to address a little bit

0:32:41.280 --> 0:32:44.480
<v Speaker 1>of the very biased world and not very data driven

0:32:44.520 --> 0:32:47.320
<v Speaker 1>world that we live in nowadays. UM. So we're trying

0:32:47.360 --> 0:32:49.200
<v Speaker 1>to get started with that. We're already trying to get

0:32:49.240 --> 0:32:52.360
<v Speaker 1>We have market tickers like any other UM equity or

0:32:52.360 --> 0:32:54.160
<v Speaker 1>things like that. We have takers for all of our markets.

0:32:54.160 --> 0:32:56.760
<v Speaker 1>So we're trying to have tickers and prices be used

0:32:56.760 --> 0:32:58.560
<v Speaker 1>by news and things of the store to really try

0:32:58.560 --> 0:33:01.400
<v Speaker 1>to get this very important data that we believe is

0:33:01.480 --> 0:33:05.960
<v Speaker 1>very important data out there. But for Alfred specifically, I

0:33:06.040 --> 0:33:08.840
<v Speaker 1>think he was doing more than like mathematical and like research.

0:33:09.320 --> 0:33:12.160
<v Speaker 1>He was doing a status PhD. So someone related to this,

0:33:12.200 --> 0:33:14.080
<v Speaker 1>but not really on the on the on this side.

0:33:14.120 --> 0:33:16.200
<v Speaker 1>But yeah, so so let's let's talk a little bit

0:33:16.240 --> 0:33:20.440
<v Speaker 1>about prediction markets that are out there. Historically they've only

0:33:20.480 --> 0:33:25.880
<v Speaker 1>done a so so job, partly because they're not very broad,

0:33:25.960 --> 0:33:28.920
<v Speaker 1>they're not that very deep, and the dollar amounts that

0:33:28.920 --> 0:33:32.040
<v Speaker 1>are traded have been modest. I saw an overlay of

0:33:32.080 --> 0:33:36.840
<v Speaker 1>about half a dozen different prediction markets before the Russian

0:33:36.880 --> 0:33:40.120
<v Speaker 1>invasion of Ukraine, and you would think they would all

0:33:40.160 --> 0:33:42.520
<v Speaker 1>be kind of similar, but they weren't. They were all

0:33:42.560 --> 0:33:44.959
<v Speaker 1>over the map. Do you have to get to a

0:33:45.000 --> 0:33:50.200
<v Speaker 1>certain scale that will fix that problem of prediction markets

0:33:50.240 --> 0:33:52.880
<v Speaker 1>being kind of thin and easily I don't want to

0:33:52.880 --> 0:33:57.640
<v Speaker 1>say manipulated, but one big trade really has an impact

0:33:57.720 --> 0:34:01.280
<v Speaker 1>on on how those UM markets trade, right exactly. I

0:34:01.280 --> 0:34:04.080
<v Speaker 1>think we need a base level of liquidity and volume

0:34:04.160 --> 0:34:07.600
<v Speaker 1>for for the forecast to really work and be really useful.

0:34:07.640 --> 0:34:10.480
<v Speaker 1>In a lot of these, like UM other prediction markets

0:34:10.480 --> 0:34:13.440
<v Speaker 1>out there, as as we talked about their unregulated they

0:34:13.440 --> 0:34:16.560
<v Speaker 1>have UM, they're very new. They just pop up, especially

0:34:16.600 --> 0:34:19.480
<v Speaker 1>the crypto ones, every other day UM, and it's hard

0:34:19.480 --> 0:34:22.839
<v Speaker 1>to build liquidity and proper volume like that. But UM,

0:34:23.040 --> 0:34:25.040
<v Speaker 1>we really think the prediction markets are the way to

0:34:25.040 --> 0:34:28.400
<v Speaker 1>go to have these these very good forecasts of events.

0:34:28.520 --> 0:34:30.560
<v Speaker 1>But it needs liquidity and needs volume, and that's what

0:34:30.640 --> 0:34:33.359
<v Speaker 1>we're working on. Huh. Really really kind of interesting, which

0:34:33.360 --> 0:34:36.200
<v Speaker 1>which raises the question, UM, how are you going to

0:34:36.280 --> 0:34:37.880
<v Speaker 1>scale this up? How are you going to get to

0:34:38.560 --> 0:34:41.640
<v Speaker 1>a hundred million and then a billion and then who

0:34:41.640 --> 0:34:43.680
<v Speaker 1>knows what from there. Right, we have a lot of

0:34:43.680 --> 0:34:46.160
<v Speaker 1>ways to to scale the exchange. It's kind of what

0:34:46.400 --> 0:34:49.960
<v Speaker 1>we talked about with with building up liquidity. Right now

0:34:49.960 --> 0:34:52.920
<v Speaker 1>we're really focused on retail, so getting UM we have

0:34:53.080 --> 0:34:55.319
<v Speaker 1>a lot of options traders are like what we call

0:34:55.400 --> 0:34:58.480
<v Speaker 1>informed retail traders in the platform, trying to go in

0:34:58.560 --> 0:35:01.359
<v Speaker 1>more deeper into different communities and trying to get them

0:35:01.360 --> 0:35:04.080
<v Speaker 1>into test the platform brings off the sword, and then

0:35:04.080 --> 0:35:06.600
<v Speaker 1>the next step for us is getting brokers in to

0:35:06.760 --> 0:35:11.360
<v Speaker 1>offer our markets in their platform, so UM E trade,

0:35:11.760 --> 0:35:15.600
<v Speaker 1>interactive brokers, all of those um and then bringing up

0:35:15.600 --> 0:35:18.360
<v Speaker 1>the volume we can bring up like actual liquidity providers,

0:35:18.360 --> 0:35:22.319
<v Speaker 1>prop shops, hedge funds, and then up until UM I

0:35:22.360 --> 0:35:26.600
<v Speaker 1>guess insurance companies even um off floating some risk or

0:35:26.920 --> 0:35:30.400
<v Speaker 1>or like actually big institutions natural hedgers bringing them in.

0:35:30.680 --> 0:35:32.279
<v Speaker 1>So the way that we're seeing is really starting to

0:35:32.280 --> 0:35:35.080
<v Speaker 1>build with retail with getting more and more of the

0:35:35.080 --> 0:35:38.239
<v Speaker 1>current users that we have which are options traders, and

0:35:38.400 --> 0:35:40.600
<v Speaker 1>having more retail as we go to the to the

0:35:41.040 --> 0:35:44.200
<v Speaker 1>I guess brokers. So so how big can this get?

0:35:44.360 --> 0:35:47.040
<v Speaker 1>I mean, is this ever a billion dollars a month.

0:35:47.080 --> 0:35:50.840
<v Speaker 1>How how large can this sort of event hedging scale

0:35:50.920 --> 0:35:53.839
<v Speaker 1>up to? Right, so, event contracts are a lot more

0:35:53.880 --> 0:35:57.640
<v Speaker 1>like tangible, relatable, and more direct as we talked about UM,

0:35:57.680 --> 0:36:01.640
<v Speaker 1>then all these other assets that that preceded it UM.

0:36:01.680 --> 0:36:03.480
<v Speaker 1>So we really think when we actually plug it in

0:36:03.520 --> 0:36:07.000
<v Speaker 1>the financial ecosystem, it can properly scale. Obviously, it takes

0:36:07.000 --> 0:36:08.239
<v Speaker 1>a lot of time to get there because we need

0:36:08.280 --> 0:36:10.920
<v Speaker 1>to be the entire ecosystem around events a completely new thing.

0:36:11.280 --> 0:36:15.000
<v Speaker 1>But once it's properly plugged in the financial system, UM

0:36:15.280 --> 0:36:17.359
<v Speaker 1>I can give you some numbers to give some idea, right.

0:36:17.480 --> 0:36:19.200
<v Speaker 1>I think you mentioned that in the beginning with the

0:36:19.200 --> 0:36:23.600
<v Speaker 1>CFTC regulating a trillion UM dollar industry like grain futures

0:36:23.640 --> 0:36:28.320
<v Speaker 1>are seven trillion dollars industry commodities to any trillion. Interest

0:36:28.400 --> 0:36:31.520
<v Speaker 1>rate swaps are around I think trillion UM. So I'm

0:36:31.520 --> 0:36:33.479
<v Speaker 1>not exactly how big the market is, but I think

0:36:33.520 --> 0:36:36.920
<v Speaker 1>as we expand, event contracts definitely has a potential to

0:36:36.920 --> 0:36:39.880
<v Speaker 1>be one of these interest rate swaps are five billion

0:36:40.000 --> 0:36:44.920
<v Speaker 1>or trillion trillion Really that's the notational, not the but

0:36:45.000 --> 0:36:49.040
<v Speaker 1>at that point that's a giant amount of money. Right, So, really,

0:36:49.560 --> 0:36:52.960
<v Speaker 1>startups have a tendency to have this defining moment in

0:36:53.000 --> 0:36:56.799
<v Speaker 1>their lifespans where they sort of either pivot or just

0:36:56.880 --> 0:36:59.160
<v Speaker 1>a moment of clarity and you could see the whole

0:36:59.560 --> 0:37:02.640
<v Speaker 1>roadman up laid out. Um, did you guys have that

0:37:02.680 --> 0:37:05.799
<v Speaker 1>sort of defining moment at Calcy? I would say the biggest,

0:37:06.040 --> 0:37:09.880
<v Speaker 1>the earliest defining moment we had was actually before we

0:37:09.920 --> 0:37:12.440
<v Speaker 1>really started the company. We went to a white Combinator

0:37:12.480 --> 0:37:16.480
<v Speaker 1>hackathon UM because before we were like fascinated by it,

0:37:16.480 --> 0:37:18.239
<v Speaker 1>but we didn't think it was got like gonna work.

0:37:18.280 --> 0:37:21.720
<v Speaker 1>It's like it seems so complicated and like are we crazy?

0:37:21.760 --> 0:37:23.239
<v Speaker 1>I think that was a big question our head, like

0:37:23.280 --> 0:37:26.160
<v Speaker 1>are we going crazy? We're here? Um. Then we went

0:37:26.200 --> 0:37:29.799
<v Speaker 1>to a combinated for a hackathon and there were like

0:37:30.040 --> 0:37:33.880
<v Speaker 1>these teams with like a bunch of servers, crazy computers

0:37:33.960 --> 0:37:36.200
<v Speaker 1>like and it was just me and Taragraph are like

0:37:36.520 --> 0:37:39.799
<v Speaker 1>MacBooks like trying to to go like a demo. Before

0:37:39.800 --> 0:37:42.360
<v Speaker 1>we were talking about UM And then we first presented

0:37:42.400 --> 0:37:44.840
<v Speaker 1>to Michael them, the CEO of y C, and he

0:37:44.880 --> 0:37:46.640
<v Speaker 1>really didn't like what we were saying from the beginning.

0:37:46.680 --> 0:37:48.839
<v Speaker 1>He cut us like the first five seconds He's like

0:37:49.080 --> 0:37:52.880
<v Speaker 1>that like this is illegal, Like what are you doing UM?

0:37:53.040 --> 0:37:54.759
<v Speaker 1>And then we would get very upset. We went in

0:37:54.880 --> 0:37:57.920
<v Speaker 1>like we I think Tara even started drinking UM beer.

0:37:58.000 --> 0:37:59.440
<v Speaker 1>He's like, there's no way we're gonna be in the

0:37:59.440 --> 0:38:02.319
<v Speaker 1>top ten, which had to present again, and we ended

0:38:02.360 --> 0:38:04.680
<v Speaker 1>up being in the top ten. We presented again, and

0:38:04.719 --> 0:38:06.319
<v Speaker 1>then we ended up being in the top three, which

0:38:06.320 --> 0:38:09.040
<v Speaker 1>were the winners of the hackathon. And I remember that

0:38:09.160 --> 0:38:12.040
<v Speaker 1>night when we're going back to to our friends place

0:38:12.040 --> 0:38:15.080
<v Speaker 1>where we were staying in San Francisco UM for the hackathon,

0:38:15.480 --> 0:38:17.920
<v Speaker 1>we were like, wow, like maybe we aren't crazy like

0:38:18.000 --> 0:38:21.439
<v Speaker 1>we should like maybe like people believe in what we're doing.

0:38:21.480 --> 0:38:24.120
<v Speaker 1>And it was a very like happy moment for us.

0:38:24.120 --> 0:38:25.879
<v Speaker 1>And I think right after that we actually got into

0:38:25.920 --> 0:38:28.120
<v Speaker 1>the White Combinator batch and it was one of the

0:38:28.160 --> 0:38:31.720
<v Speaker 1>happiest moments we've we've had UM we've had of the company.

0:38:31.760 --> 0:38:34.440
<v Speaker 1>So that was really like motivating and encouraging because I

0:38:34.480 --> 0:38:36.800
<v Speaker 1>was like, told you, we never thought about being founders.

0:38:36.800 --> 0:38:39.239
<v Speaker 1>We thought about being like he was going to be.

0:38:39.400 --> 0:38:42.160
<v Speaker 1>We were both going to be traders UM full time.

0:38:42.400 --> 0:38:44.360
<v Speaker 1>So it was like a big shift for us. So

0:38:44.400 --> 0:38:46.880
<v Speaker 1>that was a very exciting moment. Huh, really really interesting.

0:38:46.960 --> 0:38:49.640
<v Speaker 1>Let me throw a couple of curveballs at you. Uh.

0:38:49.760 --> 0:38:53.040
<v Speaker 1>You and your co founder Tarik both were named to

0:38:53.080 --> 0:38:57.120
<v Speaker 1>the Forbes thirty Under thirty list in in the Finance category.

0:38:57.719 --> 0:39:01.080
<v Speaker 1>Tell us a little bit about that. What was that parents, Like, Yeah,

0:39:01.080 --> 0:39:03.360
<v Speaker 1>I know, it was very excited. We were very honored

0:39:03.400 --> 0:39:07.239
<v Speaker 1>to be to be to be nominated, especially being like

0:39:07.280 --> 0:39:09.719
<v Speaker 1>the head up of the of the finance category. Um,

0:39:10.000 --> 0:39:12.040
<v Speaker 1>we were really excited after all the work we've done.

0:39:12.320 --> 0:39:14.840
<v Speaker 1>And actually a funny story is that because of the

0:39:14.880 --> 0:39:17.800
<v Speaker 1>four of study under Dirty, I went Vio in Brazil

0:39:17.840 --> 0:39:22.120
<v Speaker 1>for a little bit because the Brazilian Forbes wrote wrote

0:39:22.120 --> 0:39:25.560
<v Speaker 1>a piece about how Brazilian was in the American fourb

0:39:25.600 --> 0:39:28.560
<v Speaker 1>study under Dirty and that because it's very rare to

0:39:28.560 --> 0:39:31.160
<v Speaker 1>have resilience in the list here. So that was that

0:39:31.239 --> 0:39:33.600
<v Speaker 1>was that was a funny story. But yeah, because of

0:39:33.640 --> 0:39:36.600
<v Speaker 1>the four study under Dirty, we also um ended up

0:39:36.680 --> 0:39:40.319
<v Speaker 1>ringing the opening bell at the Nasdak, which was very exciting.

0:39:40.800 --> 0:39:44.760
<v Speaker 1>And one more, one more curveball. You were a ballet

0:39:44.920 --> 0:39:47.960
<v Speaker 1>dancer with the ball show. You studied ballet tell us

0:39:48.000 --> 0:39:52.000
<v Speaker 1>about that, right, so very different from what I do

0:39:52.080 --> 0:39:54.920
<v Speaker 1>now for sure, But um, I'm from Brazil originally and

0:39:55.040 --> 0:39:57.919
<v Speaker 1>I just came to the US for college, and most

0:39:57.960 --> 0:40:00.680
<v Speaker 1>of my life before college, I was split between ballet

0:40:00.719 --> 0:40:03.719
<v Speaker 1>and school. What what I really loved about ballet was

0:40:03.760 --> 0:40:07.000
<v Speaker 1>the intensity of it all. Um, it was extremely hard

0:40:07.000 --> 0:40:09.680
<v Speaker 1>to get to the top. It's extremely competitive, uh. And

0:40:09.680 --> 0:40:11.480
<v Speaker 1>there's nowhere to hide. You need to be completely on,

0:40:11.520 --> 0:40:14.360
<v Speaker 1>you need to give it your all. And yeah, and

0:40:14.400 --> 0:40:16.880
<v Speaker 1>I studied at the Bolshoi Ballet School and it was

0:40:17.239 --> 0:40:21.080
<v Speaker 1>extremely intense and and um we had to be extremely disciplined,

0:40:21.120 --> 0:40:23.160
<v Speaker 1>like measuring our food down to like a fourth of

0:40:23.160 --> 0:40:27.319
<v Speaker 1>a strawberry before this rehearsal to be able to get there.

0:40:27.600 --> 0:40:29.319
<v Speaker 1>But that was that was one part. And the other

0:40:29.360 --> 0:40:33.080
<v Speaker 1>part my my parents are both um um engineers and

0:40:33.120 --> 0:40:35.880
<v Speaker 1>have stand backgrounds. Uh, so I was surrounded by that

0:40:35.920 --> 0:40:38.400
<v Speaker 1>outside of ballet, doing like math, olympiads and all of that.

0:40:38.480 --> 0:40:40.759
<v Speaker 1>I also had to get a hundred on everything on

0:40:40.800 --> 0:40:43.640
<v Speaker 1>the math and science side. So I used to do

0:40:44.520 --> 0:40:47.319
<v Speaker 1>like normal school, I guess from like seven am because

0:40:47.400 --> 0:40:49.920
<v Speaker 1>Brazil schools hours are different, so seven am to like

0:40:49.960 --> 0:40:52.480
<v Speaker 1>one pm, and then ballet from one like one thirty

0:40:52.480 --> 0:40:55.040
<v Speaker 1>pm to like nine ten pm, and then I would

0:40:55.080 --> 0:40:58.160
<v Speaker 1>actually go study. So that was a very intense part

0:40:58.160 --> 0:40:59.600
<v Speaker 1>of my life. But I think it really set me

0:40:59.680 --> 0:41:01.920
<v Speaker 1>up for for being able to go to M I

0:41:01.960 --> 0:41:05.480
<v Speaker 1>T and and and and injure everything there. And it's

0:41:05.480 --> 0:41:07.240
<v Speaker 1>something that talks very similar to me. He was actually

0:41:07.280 --> 0:41:10.400
<v Speaker 1>professional skier before going to college and and we have

0:41:10.520 --> 0:41:13.799
<v Speaker 1>very similar backgrounds. And I think that level of intensity

0:41:13.880 --> 0:41:17.120
<v Speaker 1>and discipline is really what help us get through the

0:41:17.120 --> 0:41:20.560
<v Speaker 1>regulatory process and be where we are today. So tough times,

0:41:20.560 --> 0:41:23.480
<v Speaker 1>but it's good now. I do the same thing. I

0:41:23.560 --> 0:41:28.200
<v Speaker 1>measure my food input down to the quarter strawberry. You see,

0:41:28.560 --> 0:41:32.239
<v Speaker 1>It's how I maintained my girl. So, so we only

0:41:32.280 --> 0:41:34.680
<v Speaker 1>have a certain amount of time left. Let me jump

0:41:34.719 --> 0:41:38.240
<v Speaker 1>to my favorite questions that I ask all of our guests,

0:41:38.800 --> 0:41:41.879
<v Speaker 1>starting with what kept you entertained during lockdown? What were

0:41:41.880 --> 0:41:46.040
<v Speaker 1>you streaming, watching, or listening to? Right? Um, I listened

0:41:46.040 --> 0:41:49.400
<v Speaker 1>to All In and I'm very into American politics nowadays.

0:41:49.440 --> 0:41:53.400
<v Speaker 1>So I'm finishing up the ten American President's podcast. Um,

0:41:53.400 --> 0:41:55.759
<v Speaker 1>But on TV, I think I'm more mainstream. So I

0:41:55.800 --> 0:41:59.759
<v Speaker 1>just love Succession, House of Cards, West Wing, and so on. Uh.

0:42:00.040 --> 0:42:04.200
<v Speaker 1>Let's talk about your mentors who helped shape your career. Um. Right,

0:42:04.239 --> 0:42:06.440
<v Speaker 1>So I think at M I T. I had two

0:42:06.760 --> 0:42:09.960
<v Speaker 1>professors are very UM impactful in my career and to me.

0:42:10.000 --> 0:42:12.360
<v Speaker 1>I think the first one was Patrick Winston. He was

0:42:12.400 --> 0:42:14.640
<v Speaker 1>my adviser and professor of UM a lot of our

0:42:14.719 --> 0:42:17.840
<v Speaker 1>Fisher Intelligence classes. He really helped me navigate m I

0:42:17.920 --> 0:42:21.680
<v Speaker 1>T and set me up to and set my mindset

0:42:21.680 --> 0:42:23.800
<v Speaker 1>to where I wanted to be to like really start CauSci.

0:42:24.280 --> 0:42:27.319
<v Speaker 1>And the other great mentor was Peter Kempthorne. He's also

0:42:27.320 --> 0:42:30.240
<v Speaker 1>a professor of stats and really I started being interested

0:42:30.239 --> 0:42:33.120
<v Speaker 1>in finance in his classes, and funnily enough, he's actually

0:42:33.160 --> 0:42:35.640
<v Speaker 1>one rectors off of Cauch nowadays. Because we kept very

0:42:35.640 --> 0:42:38.640
<v Speaker 1>close contact UM and we talked a lot to him

0:42:38.680 --> 0:42:41.160
<v Speaker 1>about like the dynamics of markets and all that stuff

0:42:41.160 --> 0:42:44.040
<v Speaker 1>we talked about UM. And since we started the company,

0:42:44.080 --> 0:42:47.759
<v Speaker 1>I think our biggest mentors have been Michael's the CEO

0:42:47.760 --> 0:42:50.080
<v Speaker 1>of y C up until today. He's helps us so much.

0:42:50.360 --> 0:42:53.520
<v Speaker 1>And Ali Partovi, who's who runs NEOUM, is one of

0:42:53.520 --> 0:42:56.960
<v Speaker 1>our seat investors, and they have been really instrumental and

0:42:57.040 --> 0:43:00.239
<v Speaker 1>like making us better founders UM, not just like making

0:43:00.239 --> 0:43:02.400
<v Speaker 1>the company succeed, but better founders and how to like

0:43:02.760 --> 0:43:06.319
<v Speaker 1>do have employees growing company like growing pains, negotiation, all

0:43:06.320 --> 0:43:08.359
<v Speaker 1>of those things that you like. M I ten Nerds

0:43:08.560 --> 0:43:11.400
<v Speaker 1>didn't really know what to do. So let's talk about books.

0:43:11.440 --> 0:43:13.080
<v Speaker 1>What are some of your favorites and what are you

0:43:13.120 --> 0:43:16.480
<v Speaker 1>reading right now? Right? Some of my favorite, um, my

0:43:16.560 --> 0:43:19.239
<v Speaker 1>favorite book is is this book called Americana, but it's

0:43:19.280 --> 0:43:22.640
<v Speaker 1>not a novel. It's actually the four year history of

0:43:22.680 --> 0:43:25.520
<v Speaker 1>American capitalism. But whenever I say American and everyone thinks

0:43:25.520 --> 0:43:27.759
<v Speaker 1>it's the novel. Um. And the other one is this

0:43:27.800 --> 0:43:33.160
<v Speaker 1>book called predict Predictably Rational um, which is right, yeah,

0:43:33.200 --> 0:43:35.799
<v Speaker 1>and it's it's very uh some. It has a lot

0:43:35.840 --> 0:43:37.080
<v Speaker 1>to do with what cow she does, and I think

0:43:37.120 --> 0:43:39.840
<v Speaker 1>it's one of the early books I read on prediction,

0:43:39.880 --> 0:43:42.000
<v Speaker 1>markets and decision making, and I thought it was a

0:43:42.040 --> 0:43:45.080
<v Speaker 1>fantastic book. Um. And at the moment I am finally

0:43:45.160 --> 0:43:47.880
<v Speaker 1>Tart would be very happy to hear this. I'm finally

0:43:47.880 --> 0:43:50.480
<v Speaker 1>reading Barbarians at the Gate after he told me for

0:43:50.600 --> 0:43:54.480
<v Speaker 1>years that I should, but I barely started. So yeah,

0:43:54.560 --> 0:43:58.960
<v Speaker 1>and Americana is boo swing enough Boston and might pronounce

0:43:59.000 --> 0:44:01.080
<v Speaker 1>it right, he was a asked here a couple of

0:44:01.160 --> 0:44:05.560
<v Speaker 1>years ago. I love that book. That book because people

0:44:05.719 --> 0:44:10.080
<v Speaker 1>think that oh, all these companies were, you know, freestanding.

0:44:10.680 --> 0:44:14.279
<v Speaker 1>It was a public private partnership for a long time.

0:44:14.880 --> 0:44:17.560
<v Speaker 1>That that is a fascinating book. And I'm surprised someone

0:44:18.120 --> 0:44:20.440
<v Speaker 1>as young as you has found it. It's sort of

0:44:20.520 --> 0:44:22.480
<v Speaker 1>off the beaten path. Yeah, no, it's a it's a

0:44:22.560 --> 0:44:25.680
<v Speaker 1>fascinating book. It made me, especially in not being American,

0:44:25.719 --> 0:44:28.080
<v Speaker 1>I think it made me understand the country and how

0:44:28.160 --> 0:44:31.200
<v Speaker 1>it works so well. I think UM way better. So

0:44:31.440 --> 0:44:33.440
<v Speaker 1>so this is the first time I'm going to ask

0:44:33.719 --> 0:44:38.560
<v Speaker 1>this question of somebody who is so recently out of college.

0:44:38.840 --> 0:44:42.680
<v Speaker 1>But you're twenty five now, is that right? So what

0:44:42.880 --> 0:44:46.200
<v Speaker 1>sort of advice would you give to a college student

0:44:46.360 --> 0:44:49.440
<v Speaker 1>or a recent college grad who is interested in a

0:44:49.560 --> 0:44:57.000
<v Speaker 1>career in either startups and technology or finance and derivative training? Right?

0:44:57.120 --> 0:44:59.880
<v Speaker 1>I think the finance industry is very there's a very

0:45:00.040 --> 0:45:03.919
<v Speaker 1>traditional path that people can take. UM And what really

0:45:04.320 --> 0:45:08.080
<v Speaker 1>helped me and and Tart understand and and really come

0:45:08.160 --> 0:45:11.080
<v Speaker 1>up with the Cauchy idea and and and understand it

0:45:11.160 --> 0:45:13.000
<v Speaker 1>and work on it. But then we got a lot

0:45:13.080 --> 0:45:15.400
<v Speaker 1>of exposure to a lot of different types of firms

0:45:15.440 --> 0:45:17.560
<v Speaker 1>and a lot of different types of roles as well,

0:45:17.640 --> 0:45:19.680
<v Speaker 1>Like we did I did more of the engineering side

0:45:19.719 --> 0:45:20.960
<v Speaker 1>than in a bit of the trading than a bit

0:45:21.000 --> 0:45:24.040
<v Speaker 1>of research and tart that like all types of different tradings,

0:45:24.080 --> 0:45:26.800
<v Speaker 1>because he also worked at Citadel and Five Rings and Goldman.

0:45:27.320 --> 0:45:29.880
<v Speaker 1>And I think that giving yourself a lot of breath,

0:45:30.120 --> 0:45:32.960
<v Speaker 1>especially when you're in college, is very important to just

0:45:33.120 --> 0:45:35.760
<v Speaker 1>understand the industry as a whole, understand in their gaps

0:45:36.239 --> 0:45:39.439
<v Speaker 1>and and seeing like finding patterns like how we found

0:45:39.480 --> 0:45:42.560
<v Speaker 1>the coucil behavior. So I really think it's about putting

0:45:42.560 --> 0:45:45.799
<v Speaker 1>yourself out there, trying to learn different things, do different things,

0:45:45.880 --> 0:45:48.320
<v Speaker 1>and trying to get a global vision of of what

0:45:48.520 --> 0:45:50.960
<v Speaker 1>the industry is and why you want to do um

0:45:51.200 --> 0:45:53.240
<v Speaker 1>and and not be too tied to like the traditional

0:45:53.320 --> 0:45:56.160
<v Speaker 1>path of like entering us like this level and then

0:45:56.200 --> 0:45:58.279
<v Speaker 1>going up in a big firm and and things like that.

0:45:58.520 --> 0:46:00.880
<v Speaker 1>And our final question, what do you know about the

0:46:00.960 --> 0:46:05.279
<v Speaker 1>world of trading and hedging and investing today that you

0:46:05.360 --> 0:46:08.400
<v Speaker 1>didn't know? What do I say four years ago when

0:46:08.440 --> 0:46:10.640
<v Speaker 1>you guys were first starting out even doing it since

0:46:11.560 --> 0:46:14.680
<v Speaker 1>so let's call it six years ago, right, Yeah, So

0:46:14.880 --> 0:46:17.840
<v Speaker 1>what we're really doing is is enabling trading and investing.

0:46:17.960 --> 0:46:20.640
<v Speaker 1>But if I were an investor. What I think I

0:46:20.680 --> 0:46:23.080
<v Speaker 1>would have liked to know a couple of years ago

0:46:23.280 --> 0:46:25.719
<v Speaker 1>is that bold bets are I would take a lot

0:46:25.760 --> 0:46:28.879
<v Speaker 1>of both bets. I think generally, uh, that's the best

0:46:28.960 --> 0:46:31.480
<v Speaker 1>that seem ridiculous efforts and there's a lot of debate

0:46:31.560 --> 0:46:34.080
<v Speaker 1>and there's no way that's gonna work. Are usually the

0:46:34.160 --> 0:46:37.480
<v Speaker 1>ones that achieved, like the large outlie results. Definitely, I'm

0:46:37.520 --> 0:46:40.360
<v Speaker 1>biased because caw she is hopefully one is going to

0:46:40.400 --> 0:46:42.360
<v Speaker 1>be one of those bets for a lot of our investors.

0:46:42.480 --> 0:46:45.399
<v Speaker 1>But I really think it's about seeing what the world

0:46:45.440 --> 0:46:48.040
<v Speaker 1>can be in the future and taking both beats to

0:46:48.160 --> 0:46:49.719
<v Speaker 1>get there. I think a couple of years ago they

0:46:49.880 --> 0:46:51.920
<v Speaker 1>very if I were an investor a couple of years ago,

0:46:52.000 --> 0:46:54.600
<v Speaker 1>they're very scared to do that. But now I would

0:46:54.600 --> 0:46:57.120
<v Speaker 1>think that's the way to go to really do meaningful investing. Huh.

0:46:57.280 --> 0:47:01.600
<v Speaker 1>Quite fascinating. We have been speaking to Luana Lopez Laura.

0:47:01.719 --> 0:47:05.400
<v Speaker 1>She is the co founder of Derivatives Training marketplace CALC.

0:47:06.040 --> 0:47:08.600
<v Speaker 1>If you enjoyed this conversation, be sure and check out

0:47:09.000 --> 0:47:12.440
<v Speaker 1>any of the previous four hundred interviews we've done over

0:47:12.520 --> 0:47:16.520
<v Speaker 1>the past eight years. You can find those at iTunes, Spotify,

0:47:17.040 --> 0:47:20.440
<v Speaker 1>wherever you get your podcast fix. We love your comments,

0:47:20.480 --> 0:47:24.440
<v Speaker 1>feedback and suggestions right to us at m IB podcast

0:47:24.520 --> 0:47:27.560
<v Speaker 1>at Bloomberg dot net. You can sign up for my

0:47:27.719 --> 0:47:30.520
<v Speaker 1>daily reads at Ridolts dot com. Follow me on Twitter

0:47:31.000 --> 0:47:33.560
<v Speaker 1>at rid Halts. I would be remiss if I did

0:47:33.600 --> 0:47:36.400
<v Speaker 1>not thank the crack staff that helps put these conversations

0:47:36.840 --> 0:47:42.000
<v Speaker 1>together each week. Sean Russo is my research assistant. Mohammed

0:47:42.360 --> 0:47:45.920
<v Speaker 1>Mui is my audio engineer. Paris Wald is my producer.

0:47:46.400 --> 0:47:50.640
<v Speaker 1>Atika val Bron is my project manager. I'm Barry Rihlts.

0:47:50.960 --> 0:47:54.240
<v Speaker 1>You've been listening to Masters in Business on Bloomberg Radio.