Thomas Peterffy on Interactive Brokers' Plan to Professionalize Prediction Markets

9 Apr 2026 · 51 min · 22 chapters

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In short

Odd Lots interviews Thomas Peterffy (Interactive Brokers) about Forecast Trader/IBKR’s plan to professionalize prediction markets for institutional use, including market structure, liquidity, contract selection, leverage, standardization/fungibility, and regulation.

Key claims

prediction markets will become very large because they let experts express probabilistic views that improve decision-making and hedging; liquidity will grow over time similar to options markets; IBKR will focus on “serious” economically consequential questions (recession, global warming, AI adoption) rather than sports/pop culture; standardized contract specifications across platforms should improve fungibility; insider trading rules should be reconsidered because society benefits from faster information; AI is a “higher-level language” and prediction markets/option pricing are inherently probabilistic.

Notable examples

recession by end of Q2 2026; warmest year on record in 2026; UCLA out-of-state tuition exceeding $53,000 in 2026; global warming and AI adoption; Fed rate expectations.

Guests

Thomas Peterffy, founder/chairman of Interactive Brokers; hosts Tracy Alloway and Joe Weisenthal (Bloomberg Odd Lots).

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

Exploring the Relevance of Prediction Markets

2:10 to 4:40

Tracy and Joe discuss the importance of prediction markets and their potential economic relevance.

“Joe, sometimes, sometimes I go on prediction markets.”

Challenges in Prediction Markets for Institutions

4:40 to 8:00

The hosts and Tomas discuss the hurdles faced by institutional investors in prediction markets.

“You know, for example, some of the weather related ones.”

Tomas Peterffy on the Future of Prediction Markets

8:00 to 9:40

Tomas shares insights on the potential and future of prediction markets for institutions.

“Then there's some election stuff, and then there's some silly things, etc.”

Liquidity and Market Design in Prediction Markets

9:40 to 12:00

Discussion on liquidity challenges in prediction markets and how design choices affect them.

“Forecast Trader, by the way, what are the big hurdles for them?”

Differentiating Interactive Brokers in Prediction Markets

12:00 to 14:00

Tomas explains how Interactive Brokers aims to differentiate itself in the prediction market space.

“Is that how you're trying to differentiate yourself with more, you know, quote, serious, economically serious contracts?”

Choosing Serious Contracts for Investors

14:01 to 15:10

Learn how serious economic questions influence contract selection for investors.

“contracts that have the sort of, quote, serious investor in mind?”

The Evolution of IBKR's Prediction Market

15:10 to 16:48

Discover how IBKR is innovating in the prediction market space and its history.

“are going to study and develop into these sorts of questions deserve to have serious answers so that they can decide what to do.”

The Delay in the Launch of Prediction Markets

16:48 to 18:54

Understand the challenges that delayed the launch of prediction markets at IBKR.

“We've never done anything as large as this that is so different than what already existed.”

Navigating Regulatory Approval for Prediction Markets

18:54 to 21:26

Learn about the regulatory hurdles faced in getting approval for prediction markets.

“I was reading about prediction markets in college.”

Leverage and Risks in Prediction Markets

21:26 to 22:51

Explore how leverage works in prediction markets and the associated risks.

“So I was just about to ask you, like, was it the election that enabled you to get into it?”
Show all 22 chapters

The Future of Prediction Markets and Economists

22:51 to 25:02

Discuss the potential for economists to engage in prediction markets and their impact.

“that will go bust on leverage in prediction markets, yes.”

Fungibility and Standardization in Prediction Markets

25:02 to 27:37

Learn about the importance of fungibility and contract standardization across markets.

“But can we be just among the three of us here?”

Insider Trading Concerns in Prediction Markets

27:37 to 28:01

Examine the issues of insider trading and its perception in prediction markets.

“So fungibility is a great issue, and it is in the interest of the market participants to create as much fungibility as possible.”

Exploring Insider Trading in Prediction Markets

28:01 to 29:11

The discussion focuses on the implications of insider trading in prediction markets and institutional concerns.

“But, you know, you made the point that when you're talking to economists, it depends on whether you're talking to a good one.”

A Personal Story of Insider Trading Loss

29:12 to 34:37

Thomas shares a personal anecdote about losing capital due to insider trading, highlighting its impact on his views.

“First of all, when you face with a merger or acquisition situation where most of the insider trading is happening, right?”

The Evolution of Market Making and Technology

34:38 to 37:10

Thomas discusses the evolution of market making from human traders to automated systems, and his early innovations.

“I had a computer at home and I had developed my own option formula much earlier in 1970.”

The Role of AI in Trading and Finance

37:11 to 40:56

The conversation shifts to the implications of AI in trading, comparing it to past technological advancements.

“But up to that point, we were the largest market makers in the world.”

The Future of Prediction Markets

40:57 to 42:00

Discussion about the potential growth of prediction markets and their utility for decision-making in various contexts.

“But I can code in Fortran or Fort or Basic or C, number of languages.”

Understanding Prediction Markets

42:00 to 43:36

Learn about the potential impact and usefulness of prediction markets.

“read these projections from consulting firms about how big something will be in the years ahead of time.”

Regulatory Challenges in Prediction Markets

43:36 to 46:09

Explore the regulatory uncertainties surrounding prediction markets and securities.

“what does that mean for capital markets?”

The Future of Prediction Markets

46:09 to 48:34

Discuss the evolving landscape of prediction markets and their potential significance.

“So this quagmire would have to be cleaned up and then we would have a much better market.”

Reflections on Market History

48:34 to 50:36

Consider the historical context of stock markets and prediction markets.

“It does feel like the steady march of progress is sort of in this direction.”
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Transcript

Automatic transcript. May contain errors.

0:00Tracy Alloway:Introducing Fidelity Trader Plus, the next generation of advanced trading from Fidelity. Customize your tools and charts and access them seamlessly across desktop, web, and mobile. For faster trades anywhere you go, try the all-new Fidelity Trader Plus. Learn more about our most powerful trading platform yet at fidelity.com slash trader plus. Investing involves risk, including risk of loss. Fidelity Brokerage Services, LLC. Member NYSE SIPC. Hey there, Odd Lots listeners. Joe and I are very excited to announce that we will be hosting a live show in London on Thursday, May 7th. Yep, that's right.

0:41Tracy Alloway:We've never been to London before. Well, we've been to London before, but in other capacities, we've never done a public episode, a public show in London. We've done them in other cities, New York City, DC, Chicago, San Francisco, and so forth. This will be our first London one, and I'm really excited about it. Very exciting. So if you want to hear some fantastic conversations being recorded live on stage, if you want to hang out with Joe and me, or if you want to hang out with other All Thoughts listeners, you should definitely save the date for your calendar. It's going to be at Wilton's Music Hall in East London again on Thursday, May 7th, doors opening at 6 p.m.

1:17Tracy Alloway:And the key thing is, you know, every time we do a live show and they sell out, people complain like, oh, I didn't see the link. I wish I would have bought them sooner. We're going to be putting the link in the Odd Lots newsletter. So go find the Odd Lots newsletter. Just search for it. Subscribe to it. And the link will be there before it's anywhere else. So this is your chance. Plus, if you like Odd Lots, if you're listening to the podcast, you probably really like the newsletter. You should really subscribe anyway. So if you like the podcast and so forth, subscribe to the newsletter, get the newsletter and get first crack at tickets.

1:50Hope to see you there. Bloomberg Audio Studios. Podcasts, radio, news.

2:09Hello and welcome to another episode of the Odd Lots podcast. I'm Tracy Alloway.

2:13Tracy Alloway:And I'm Joe Weisenthal. Joe, sometimes, sometimes I go on prediction markets. Yeah. And I see some of the contracts being traded. And, you know, we hear the argument all the time that there might be a real economic reason. Yes. Why prediction markets should exist. So maybe, you know, maybe you run a studio in Hollywood. Yeah. And so, like, it's actually really important who will be in the next cast of whatever Avengers movie is coming out. but I have a hard time thinking that betting on whether or not Jesus Christ is going to return to the world is economically important, right? Yeah. No, I think this is a great point.

2:53Tracy Alloway:I mean, I think you're being generous actually with the Avengers thing. I mean, maybe you could stretch, but for example, there is a market and it's actually, you can track it on the Bloomberg that says on Kelsey, will there be a recession before 2027? And that is at 33 % right now. And that is something that's amazing in a sense, that there is an instrument where you could bet on this very important question to investors and express it very purely in a way that if you were using other instruments like stocks or bonds, you'd only be using a proxy for it. So the potential there in my mind for some of these things is obviously quite high.

3:30What you could say, certainly in our current economic environment, being able to bet on things like, is the U.S. going to strike Karg Island or something like that could be actually useful if you are a large institutional investor versus just betting on the price of oil or the direction of stocks or something like that. However, I have a hard time thinking that institutional investors are going to flock to a platform that contains questions that are both, is there going to be a recession and also some completely out there pop culture kind of contract?

4:03Tracy Alloway:Totally. Or, you know, obviously beyond the pop culture, they're dominated by sports betting and so forth. So that's another question. Also, the marketing tactics used by the major prediction market companies are very different than anything, pretty different than anything we see in traditional futures, et cetera. So I think we both, yeah, I do fully think that there could be legitimate use cases where there are natural hedgers, natural liquidity providers for some of these swaps, some of these pure binary instruments, et cetera. But there are some pretty big chicken and egg problems and other things to like actually get there where there's volume.

4:42Tracy Alloway:You know, for example, some of the weather related ones. Absolutely. They're great. No one's betting. You know, there's like$20 ,000 on some of them. That's beneath any order of magnitude of usefulness to any economic or real speculative actor. That's right. No hedge fund gets out of bed for less than$20 ,000. OK, so I do, in fact, have the perfect guest to discuss all of this. Someone who is trying to solve that chicken and egg problem and actually create a prediction market that is more geared towards institutional investors. And we are going to be speaking with Tomas Pederfi. He is, of course, the founder and chairman of Interactive Brokers.

5:18Someone who's not just interesting from a prediction market perspective, by the way, but someone who has been incredibly influential in the development of markets globally. Absolutely. So we're going to get into the overall market structure, AI, all that good stuff. But we'll start with prediction markets. So Tomas, thank you so much for coming on All Thoughts. Thank you very much for having me. So when you think about prediction markets for institutional investors, in your mind, what is the actual differentiating factor between a retail investor who maybe is playing around a little bit on something like Calci or Polymarket versus someone with a lot of money who might be interested in trading in size?

5:58So from that point of view, the prediction market is no different than the stock market, except it addresses much larger and more important on the one hand, on the other hand, much sillier and less important questions. So it all depends on what you ask. So the stock market has Microsoft and NVIDIA and also has, you know, the GameStop and other silly stocks, right? So it is a parallel situation. So you cannot blame prediction market, the mechanism itself, for the silly things that some platforms list. The idea here is to deal with questions, to gather the consensus opinion of people who are preferably experts or are deep thinkers on the questions that we're going to ask and to gather their consensus so that we can all include that in our decision making and planning.

7:15the future.

7:17Tracy Alloway:That was excellent. And first of all, I think that's a great point, obviously, that the stock market contains both Microsoft and NVIDIA, and it also includes GameStop. Yeah, but this is also a recent development. When GameStop happened, we were all sort of in shock that people were treating a stock as a token. Yeah, that's true. But I paid for part of college trading penny stocks, et cetera. So I know that... And if you go back to... Sorry, penny stocks were the original prediction. Go back to the Jesse Livermore era of true bucket shops, and it was pretty messy, etc. So from your perspective right now, if we're talking about prediction markets in the US, it's really heavily sports betting.

8:01Tracy Alloway:Then there's some election stuff, and then there's some silly things, etc. First of all, let's zoom out for the big question. Do you think that eventually institutional investors will use prediction market-like instruments to trade things like, will there be a recession in the year 2026? Do you expect these to become big volume contracts at some point? Definitely. I'm absolutely convinced. So the stock market gives us a venue to invest in the future, basically in the future of different companies. but you know some of how those companies are actually going to end up faring in the future has a lot to do with the economic environment and social environment in the future and basically we are left to our own devices to decipher what the future holds so the prediction markets gives us an opportunity to gather experts around who are not afraid to put their money on the line and express what they think and to collect a consensus opinion so that we all know what we can possibly expect.

9:21It's probably a better guess than what we individually could come up with. So a lot of the prediction markets, one of the problems that they currently have is that volumes are still pretty low, right? The markets are very illiquid. When you talk to institutional investors, you know, people you would like to be clients on your platform, which is called Forecast Trader, by the way, what are the big hurdles for them? Like, what are they, what's stopping them from going all in on prediction markets at the moment? Well, at this point, it's very similar to any other market. When it starts, liquidity is always is a big question, and it takes a long time to gather sufficient liquidity.

10:02If you look at, for example, the options markets that have been run now for 54 years, I think. Initially, there was very little liquidity, and it was very difficult to trade more than, say, 20 or 30 contracts at a time. Nowadays, you can trade thousands or maybe even millions of contracts. So it has developed over the past five decades really well. And the stock market is basically similar.

10:34Tracy Alloway:What unlocked the liquidity? Was there a market design choice? Like if you go back and you're thinking about, okay, the history of the options market, etc. Was it just time and existence? or were there certain either regulatory or market structure decisions that had to be made that truly unlocked the opportunity to take it to the next level volume-wise? Yeah, well, I think over time, people have become more familiar with the idea of what an option is, and it is a fairly complex idea relative to what the prediction markets are. That's why we try to come up with something simpler than options. And as far as that is concerned, I think we have done that.

11:22So it is not going to be as complex for people to understand a prediction contract as it is to understand an options contract. So I think that it will not take equally long time to develop sufficient liquidity. So when I go on forecast trader right now, I see bets like, you know, will the United States economy enter a recession by the end of the second quarter of 2026? Or will 2026 be the warmest year on record, which, as we were talking about earlier, these are all things that I would say have economic implications. When you compare what interactive brokers is doing versus, say, a Calci or a Poly market.

12:04Is that how you're trying to differentiate yourself with more, you know, quote, serious, economically serious contracts? Is that your edge? So don't forget that we are very different companies. Interactive Brokers has a large following of serious, successful institutional investors and serious investors who are managing relatively large portfolios on our platform. Kalshi doesn't have that. So for us, prediction markets are an addendum that enables us to basically run out our offering and our customers now have the ability to gauge such questions, whether a recession, how likely a recession is going to be.

12:58Kalshi has no investors, basically, other than investors in the prediction markets. So for them, first of all, it is hard to maintain yourself only up until it really takes off. It's hard to generate enough trading volume to make a profit. So they had to add things like sports. And of course, that has become their mainstay. And they are now very profitable due to sports. So if they didn't do sports, maybe they couldn't even support the platform. I don't know.

13:40Tracy Alloway:But just to be clear, do you get the impression that from the perspective of this broad institutional world that's going to come to prediction markets, that one of your edges will be this focus, that you're not in sports, that you're not in random pop culture, that this is going to be contracts that have the sort of, quote, serious investor in mind? Is that part of why you have an edge? This is by choice. We prefer to focus and concentrate on serious questions having to do with our clients' investments. Maybe some of them would like us to have sports, but we just don't want to distract them with that.

14:27Say more about that. So how are you actually choosing the contracts that you're presenting as options to investors? So we are choosing contracts that in our minds have questions, the answers to which have serious economic consequences. So, for example, global warming, I think, is a huge question. Maybe not this year, but 10, 20 years from now, it certainly will be. Or the rate of adoption of AI. Or, I mean, you know, really significant questions that basically will determine how we live our lives 10 to 20 years from now. And therefore, it's important for us to have questions for those answers so that people that enter schools today or decide to buy a house somewhere or decide what profession they are going to study and develop into these sorts of questions deserve to have serious answers so that they can decide what to do.

15:51We'll see you next time.

16:09Tracy Alloway:Learn more about our most powerful trading platform yet at fidelity.com slash trader plus. Investing involves risk, including risk of loss. Fidelity Brokerage Services, LLC. Member NYSE SIPC. IBKR, of the brokerage platforms that a retail-ish person could access, always been like one of the most sophisticated in terms of the wide range of instruments that are available from stocks to bonds to futures, etc. Is this the first time that you have a sort of your own market that you built on the platform rather than IBKR simply being a window or a venue to trade on some other market? Is this new for you?

16:58In a big way, yes. We've never done anything as large as this that is so different than what already existed. But as we were going along building out the platform over the last almost five decades, we certainly have always been on the edge of trying to bring in new things. Sure.

17:23Tracy Alloway:But in terms of like, OK, like if I trade a share of Microsoft on IBKR, there are established exchanges that presumably that trade is going to be routed through. Whereas with Forecast Trader, you are the market, you're the broker and the venue at the same time. And part of what's novel about prediction markets generally is this thing where the broker and the market venue are fusing in a way that has not been the case historically with, say, CME futures. It's not been the same way with stocks. So from a market structure standpoint, is IBKR in a new position by the fact that it's essentially both the broker and the exchange for these instruments?

18:05You're probably correct in that although we have had in the past started several indexes and various futures contracts, but indexes and futures contract, different ones, but they already existed. So the prediction market as such is, yes, you are correct. It's the first market where nothing has existed like it. Actually, on that note, you know, I alluded to your history in the markets, very long history and formative history. But how come we didn't get prediction markets sooner? You know, like we could have been betting on global warming five or 10 years ago, and it doesn't seem until, you know.

18:54I was reading about prediction markets in college. We started developing the prediction markets roughly 10 years ago. And the problem was that we had some consultants at the firm that were doing some other work. And they found out that we were working on prediction markets. And at that time, we were trying to go for a banking license. and they said, well, you will never get your banking license if you come up with this prediction market. As a matter of fact, the SEC will not take kindly to it and you will have all kinds of problems if you really do this. So what we did, we already had built the whole system, so what we did was we released it for phantom money.

19:49and people were playing around on it for Phantom Money and that eventually Peter died because Phantom Money is not really interesting but it took hold enough for the people who funded Polymarket and Kalshi to see it and to play with it and then they had a better idea and they went forward with it And, you know, Kalshi went to the CFTC and got himself licensed. And I was really upset when I saw that. And then, of course, you see, it was easy for him because they had nothing. So they had nothing to lose. You see, the problem is that when you have a flourishing business, it's very hard to do new things because the downside is so big for you.

20:41So he went ahead and then I wanted to buy Kalshi, but they wouldn't entertain a sale. They didn't even give me a price. What year was that? Sorry?

20:55Tracy Alloway:What year was that that you were trying to buy? I think about five years ago. Oh, wow. That was going to be my next question. Why didn't you just buy Kalshi at that point? So then I went to the CFTC and I asked for our own license. And they took three years to work it through and give it to us. But we eventually got it last year. Actually, we got it in 24, just before the elections. Wait, that's interesting. So I was just about to ask you, like, was it the election that enabled you to get into it? But it sounds like actually you would have been able to get into the space even without the change in administration.

21:38Well, look, I mean, we are in a very lucky circumstance where we have a flourishing, profitable business so we can support this crazy addiction to develop the prediction market that is basically a loss leader. And we are very sure that eventually it will be very profitable.

22:00Tracy Alloway:So I'm just one other quick market structure-ish question. Are you going to provide leverage? How does that work for these instruments? Well, we're working on that right now. Optinoy has been a very easy situation because you see a broker always has to worry about providing leverage. so most brokerage firms when they go bust because of the leverage they provide and if you look at the big Wall Street crisis they all have to do with leverage always but eventually we will have to provide leverage the question is how do you structure that and that is going to be I'm sure there will be some firms that will go bust on leverage in prediction markets, yes.

22:58Do you see a world where, I guess, prediction market prices kind of become standard reference data, like the same way we look up credit spreads or something like that? Yes, absolutely, yeah, certainly, certainly. You know, right now you're saying, is the Fed going to cut rates or not? I mean, yeah, people are consulting economists and say that's what the consensus opinion is. But it's not as clear as just look at a clean probability that the prediction market provides. Just one plain number to see what the probability is. Wait, why is it not as clear? Because I can go to the bond market and back out what the bond market thinks about future Fed moves.

23:48And that's a huge market. Why would you need the prediction market to do that? Well, no, you can go to the Fed funds markets, not the bond markets. You can go to the Fed funds markets. That is true. But that's another interesting thing. So Fed funds markets existed for a long time. And it's only recently that people really consult the Fed fund markets when they are wondering about rates and no longer talk to the economists. Because just two years ago, people kept talking about which economist says what, right?

24:29Tracy Alloway:One day, we're never going to have to consult economists again. That's like the trader's dream. That's the world prediction markets are going. No, I think, you see, I think that what will happen is that economists will begin to participate in the prediction markets. And instead of issuing their predictions, they will trade their own positions and good ones will make a lot of money and bad ones will lose. But can we be just among the three of us here? No one else is listening. Just among the three of us. Just among the three of us here for a second. Like traders, you guys really don't like economists, do you?

25:15Tracy Alloway:You do not hold them in particularly high esteem, right? Let's be honest. It's just the three of us chatting here. Well, for a trader, an economist is very confusing because it depends on which one you talk to, right? The prediction markets cure that deficiency, right? Yeah. So right now, you could go to Robinhood and you could trade markets on, you could trade Kelsey markets via Robinhood. And we have the CEO of Robinhood on, Vlad Tenev, and they also might be building their own prediction markets venue. Is there ever a scenario in which IBKR both has its own prediction markets, but is also a broker that would allow a user I could trade futures via my IBKR account?

26:06Absolutely. So we are coming out at the end of May with a consolidated feed where contracts that exist on several platforms will have consolidated so that when somebody comes to us, interactive brokers, to look at the market, we will give them a consolidated feed just like we do on stocks. where stocks trade on, I don't know, 20 or so markets. And we always have the best fit and offer. And we always provide best executions based on all the possible venues where that stock trades. And we will do the same thing on prediction markets.

26:51Tracy Alloway:That makes a lot of sense, that analogy of like best execution. The one issue that I could see arising, and I'm curious your thoughts, It's like a share of Microsoft is a share of Microsoft, regardless of whatever, however number of exchanges it trades on. A bet on a US recession could be different because then it gets down to contract specifications and how Kelsey defines when a recession is triggered could be different than how a different platform defines the same thing. So how much of this is going, in terms of the future of the industry, is going to depend on a certain degree of alignment among platforms?

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27:31Fungibility.

27:32Tracy Alloway:Yeah, fungibility to align across contract specifications. And is there work being done on that? So fungibility is a great issue, and it is in the interest of the market participants to create as much fungibility as possible. So accordingly, we are going to structure our contracts to be identical. OK. Whenever it's possible. That's interesting. Can we go back to making fun of economists for one second? But, you know, you made the point that when you're talking to economists, it depends on whether you're talking to a good one. And part of the whole idea of prediction markets is you incentivize people with good information to express their opinions in exchange for money.

28:19recently there's been the issue of i don't even want to say insider trading or insider information because i don't know what constitutes insider trading or insider information in the prediction market but there's been a sense that we've had a few political developments and there have been big trades on prediction markets ahead of some of those maybe someone knows something ahead of time and they're betting on it i don't know if that's wrong per se or illegal per se but when you talk to institutional clients, how concerned are they about the perception of insider trading on these platforms? So insider trading has always been an issue.

29:04I mean, early on when I started my career, I lost half my initial capital based on insider trade. so I'm extremely familiar with the damage it can cause but on the other hand and in spite of that I'm in favor of not having any rules against insider trading I would like all the information out there as soon as it's available because look as a society we're better off knowing as soon as possible anything that is knowable Right. So why do we have to wait several? First of all, when you face with a merger or acquisition situation where most of the insider trading is happening, right? The secretaries, the lawyers, everybody knows about it.

29:58They go home, they tell their wives, their husbands. So it eventually always filters out. So it's almost impossible to avoid. It's very, very difficult and cumbersome. Why don't we just do away with it and let the information come out as soon as possible?

30:18Tracy Alloway:Sorry, just to be clear, when you say this, you're talking about all markets here, not just prediction. All markets. Okay, so even in the cyber, the counter, one counter argument, I can think of a couple of counter arguments. There are many, yeah. But one counter argument would be, Liquid capital markets are a very good thing for the economy. And why would I ever want to participate in a capital market if it's known that there are going to be sharks, et cetera, that are just like have such an information edge that I could never win? And so, yes, I... But you see, there are sharks right now. But if insider information just came out as soon as possible, there would be very little opportunity for the sharks to be around because you could be a shark for a second or two, but that's it.

31:10Nowadays, sharks can be around for weeks and months.

31:14Tracy Alloway:Another argument would be that from a corporate perspective, I don't want all my secrets to be monetizable so easily. So like I want to be able to share information with a group of people inside and not have to worry. Yeah, but then protect them yourself. Don't rely on national laws to protect you. I mean, protect them yourself. Just stop talking to them. Yeah. Wait, I want to hear more about you mentioned that you lost a bunch of money. Yeah. Half your capital. Tell us that story. From insider trading. What's that? Yeah. What's that about? so so when i i bought my seat on the american stock exchange as an options trader in 1977 and i had two hundred thousand dollars of saved capital that i started my option trading business with on the floor of the american stock exchange and maybe a year or so later i was standing in Dupont and in those days options were trading in 16th and 8th and it was a day before expiration and there was a very cheap out of the money call that was to be expired the next day and somebody came in and according to my fair value sheets that only I had in those days because I had my own options formula and I generated these sheets for myself.

32:52That option was worth about$25,$26. And somebody came in and offered it at 3H, which is$18. Offered to me 300 of those options at$18. And I bought all 300, which was at that time the biggest trade I've ever done. And just as the broker walks out, another broker walks in and he says, where can I buy 500 of these? And nobody said anything. Everybody was stunned. And I said, three-eighths. And he said, OK, how many? I said, 500. I was so overwhelmed by the amount of profit I was suddenly making in a five-minute period of time that I gave up all caution and I sold him the 500. So I was, as a result, 200 short.

33:47And then in the next several minutes, the stock halted trading. And half an hour later, it reopened with the news that DuPont had a fantastic quarter. and they were splitting the stock 3-4-1, and it opened way, way up. So the option I sold 200 of net for 3-8 opened at$4.50. I can see why you would be traumatized by insider trading. I was really traumatized. I lost$90 ,000, and it was horrible. But I still say to you that I think the best thing we could do about inside information is just to get the news out there as fast as possible and forget about persecuting people. I love that idea also that you had your own fair value sheets, which I presume those were sheets that were actually written down at that time in your pockets.

34:47They were computer generated. I had a computer at home and I had developed my own option formula much earlier in 1970. And you were carrying them around on pieces of paper on the floor? Yeah, I had folded up in all my pockets. Okay, so on this note, I mean, you were one of the earliest people to automate market making. That's what you're famous for. And you've been through the whole transition from humans actually trading on the floor to everything being automated nowadays. Obviously, AI is this huge thing in the market and in our lives right now. When you look at AI and compare it to the early days of electronic trading, what's similar and what feels different to you now?

35:38Is this just another technological improvement, another wave of productivity enhancing tech, or is this something fundamentally new in your mind? Well, it's a huge leap in technological developments, but it's basically as a computer programmer, I look at it basically as a new higher level language that is much, much, much, much more powerful than anything that came before. but qualitatively is not different than the way we went from machine language to assembler language to Fortran and COBOL and eventually CE and all the other languages. So this is a natural language. So AI is basically a higher level language, which is a natural language, and it also has to it available all the data that exists in the world.

36:33So that's why it is so immensely powerful. But as far as trading is concerned, basically automated trading has existed for a long time. We have started our first automated trading systems in 1983 and continued developing that ever since. and then eventually when other traders came in and bought out the order flow from brokerage firms, we didn't think that we should do that. So then we went out of the market-making business. But up to that point, we were the largest market makers in the world.

37:31Tracy Alloway:I have so many questions. Actually, can we just go back real quickly to the options pricing model that you have? It's funny. This is the second time in a few weeks someone was telling me about, I've been in a conversation about options trading in the early days. What were you programming that in what language? And was it the kind of thing where you would leave the computers running overnight and then you like come back in the morning and after. Nah. Tell us about like the technology that enabled you to determine fair market value of options back then. So I had an Olivetti computer at home, a desktop, Olivetti desktop computer at home.

38:09And when I started to think about options, I started to run a lot of simulations and see at what prices I would break even. And then eventually deroged the idea of a probability distribution curve based on which I would determine the prices of options that after selling to myself many options, I would break even at which price. And that's how I determined what the correct value for an option is. And that eventually that turned into a formula and code. So I use that computer. And if you go to interactive brokers today, there is something we call probability lab, where we can display, where we do display the probability distribution associated with the future price changes of any stock that we derive from the existing option prices.

39:09So you can see that there and you can basically learn about options very well.

39:15Tracy Alloway:I never saw this page before, but this makes a lot of sense to me. And I've always been a little bit surprised that you don't hear more about translating option math into sort of normal intuitive odds because it seems like a very normal thing. One other question, you know, you mentioned AI as being like a new, the next iteration, maybe the last iteration because it's natural language of computer programming. But most computer programming is deterministic, right? So if you write a line of code, it will do the same thing every single time. There's some rule, and it'll always be the same. You put in the same query into ChatGPT, you will not always get the same output.

39:56Tracy Alloway:In fact, frequently you won't, even with the exact same query of anything. When you're thinking about applications of AI within finance, et cetera, does the non-deterministic element of AI models change. So AI is a probabilistic language, right? That's why it is not always the same. It's probabilistic. It's not deterministic. Right. Does that have implications for its use in finance? Well, option prices are probabilistic. Prediction markets are probabilistic. That's what my initial impetus was for prediction markets to teach people probabilities, because people tend to not think probabilistically.

40:36They tend to think, well, either this will happen or will not happen and that somebody knows, and that's not how it is. There is a probability for something to happen and nobody knows what really will happen. Do you know how to code in COBOL? In COBOL I can, well, in COBOL I cannot, But I can code in Fortran or Fort or Basic or C, number of languages. You know, you could be making a lot of money fixing old mainframe systems and integrating them. Have you considered doing that? Yeah.

41:16Tracy Alloway:Just going back sort of full circle to the prediction markets. I basically, you know, you're probably right. One day they'll be big. What's the timeframe? frame. Do you have a testable theory? Can you give us a number for how big you think they'll be? We don't want to treat you like some economist who just makes a forecast that could never be tested or whatever. We want something hard. So can you give us end of 2027, or end of 2026, how big will they be so that we could come back and we can say, was Tomás correct about how big this space is going to be or not. No, there is... I don't think there is a good way to...

41:58I mean, I'm always stunned when I read these projections from consulting firms about how big something will be in the years ahead of time. I have no idea how to evaluate that, but all I think, all I know is that it's going to be very, very big because it's extremely useful. And it's a very simple way for all of us to direct our decision making prediction market and to hedge our decision making.

42:35Tracy Alloway:I was just going to say, Tracy, I noticed one of the contracts that they have on IBKR is, will UCLA's out-of-state tuition exceed$53 ,000 in 2026, as someone who has children who like in the next decade are going to go to college, I was like, this could be a very useful thing for me to hedge at some point. Like my daughter heard that there's a good theater school. She sat on UCLA already. Yeah, UCLA. She said, I heard there's a good theater school at University of Michigan. And so I have to start thinking about like University of Michigan out of state tuition. Kids these days are very focused.

43:10Tracy Alloway:But this could be a very useful instrument for me. Absolutely. College tuitions, we were thinking about listing them at one point. Can I ask a conceptual question, which is like, if prediction markets really take off and we have more and more money that is being placed on whether or not the actual event itself happens, what does that mean for capital markets? Because I think about capital markets, you know, everyone in finance for years and years and years said this is about the efficient allocation of capital into productive industry. And one way of betting on the future of the U.S. economy would be by buying U.S.

43:56equities. And that money goes into companies and it creates jobs and a feedback loop and all of that. If I'm just betting on the actual outcome, what does it mean for actually funding economic activity? So the money you put at risk, but the money is not laying around. The broker will take that money and put it into treasury bills, right? So as you know, there is an awful lot of money that is in treasury bills, and that's financing our deficit. And so that's where your money will be employed.

44:31Tracy Alloway:From a regulatory standpoint, is there anything right now that you think the CFTC could or should be doing to further along this market? No, I think the big regulatory problem is that there are many questions concerning specific companies that we would love to ask, but we do not know if the question would be a security or a commodity and do not know who should properly regulate it. And therefore, we don't ask these questions. But it would be extremely useful for us to be able to ask about the future developments of NVIDIA or Microsoft or Google or et cetera. So this could be like contracts either related to will they beat or miss their earnings estimates.

45:26Tracy Alloway:It could be contracts related to when will they announce. Or the number of employees they will have or the average salary they will have or et cetera. But the problem is that the price of Google is a security. We know that the price of the shares are securities. So the legislation says that anything that has an impact on the stock price, on the financial statement, would be a security. So there's a lot of stuff that has an impact on the financial statement, but nobody is listing it in any way. So this quagmire would have to be cleaned up and then we would have a much better market. It sounds like we need to merge the SEC and the CFTC.

46:24That would be great. all right tomas pederfeet thank you so much for coming on odd laws really appreciate it thank you very much

46:45Tracy Alloway:joe that was an interesting conversation that was great i was not expecting tomas to be i don't you You know, maybe I should have, but it's interesting to hear him completely just say, let's get rid of insider trading laws. Yeah. Clearly, that was a formative experience for him. And perhaps he wants to be on the side of the people that made money in that transaction rather than the people that lost out. The other thing I thought was really interesting was the history with Kalshi. Yeah, which I hadn't appreciated. Yeah. I think this is going to be such an interesting space. It's a weird industry, I think, prediction markets.

47:21Tracy Alloway:because it's an industry that basically is two companies right now, which barely counts as an industry. But we know from having talked to Vlad at Robinhood, they're going to build their own. And then now, obviously, IBKR has its own. There's a few interesting questions, but one is where is the value going to accrue? Is it going to be the venue where the trading is? Is it going to be who has the distribution? Because obviously, Robinhood and IBKR have incredible distribution via the the fact that lots of people do other trading on there, it still feels like very much a jump ball in terms of who makes the money in this space.

47:58Well, the other thing that was interesting was the idea of creating standardized contracts or something more fungible. And then I wonder, well, if you do that, do you have to create an ISDA-type body that's going to adjudicate on these things?

48:11Tracy Alloway:Right. Yeah, no, that's going to be a huge question. My gut is that Tomás is right. Like if he is saying these are going to be a really big thing and he's like traders are going to want to have these instruments, who am I to disagree? Like I may be like they won't be big for like random pop culture stuff, but are they going to be big for like recession things and stuff like that? If Tomas thinks so, then I think so. That's where I stand. It does feel like the steady march of progress is sort of in this direction. But progress, progress. And air quotes. It feels inevitable. But also, I mean, it's hard not to he mentioned GameStop and it's hard not to think back to just, you know, what, five years ago now when GameStop happened.

48:54It was such a big story precisely because it was such a departure from the way people had treated stock markets previously.

49:01Tracy Alloway:Yeah. But you know what? I agree completely. But I had a thought, actually, when he said that, that which is, you know, for a long time. And there's the famous, quote, equities in Dallas. And it's like, there was a period not that long ago in American financial history where stocks themselves were not regarded as a particularly important market in and of themselves. Otherwise, they wouldn't have talked about how the stock traders would have had to move out to Dallas. That's a phrase because the perception was that stocks weren't where the action is. And so it occurs to me, like, yes, when GameStop came out, that it's like everyone was like clutching their pearls and scandalized that the market, me included, was like, oh, people are treating it like a joke.

49:43Tracy Alloway:You can call me a grandma. I know that's where you're going. No, no, seriously. But when you actually think about the big sweep of stock market history in the United States, maybe we shouldn't hold it up on such a pedestal. There's always been penny stocks. There's always been the pink sheets, the bucket shops or whatever they called were there for a very long time. There was the curb market where people were just trading. Like maybe the era in which the stock market is like this very serious thing. And like maybe that was, maybe that's kind of the exception. Is the theme of this conversation just give up basically?

50:18No, I'm just saying,

50:19Tracy Alloway:like I'm just saying, like maybe, maybe there's something to this idea. It's always all these markets have been a little bit of a, there's been a, there's been a, I don't know what, what word are you going to use? I don't know. Not seedy, but all entertaining. I don't know. Embrace the seediness. Yeah, something like that. Yeah. Okay. On that note, shall we leave it there? Let's leave it there. All right. This has been another episode of the Odd Thoughts podcast. I'm Tracy Alloway. You can follow me at Tracy Alloway. And I'm Jill Weisenthal. You can follow me at The Stalwart. Follow our producers, Carmen Rodriguez at CarmenArmin, Dashiell Bennett at Dashbot, and Kale Brooks at Kale Brooks.

50:54Tracy Alloway:And for more Odd Thoughts content, go to Bloomberg.com slash OddLots where we have a daily newsletter on all of our episodes. And you can chat about all these topics 24-7 in our Discord, discord.gg slash oddlots. And if you enjoy Oddlots, if you like it when we talk about prediction markets, then please leave us a positive review on your favorite podcast platform. And remember, if you are a Bloomberg subscriber, you can listen to all of our episodes absolutely ad-free. All you need to do is find the Bloomberg channel on Apple Podcasts and follow the instructions there. Thanks for listening.

51:32Thank you.

From the publisher

Right now, when you think about prediction markets, you basically think about two main companies: Polymarket and Kalshi. And then when you think of what's being traded on those platforms, there's a whole range of stuff from elections to sports to real economic outcomes, to totally gonzo random stuff, like who will win the next season of Big Brother. So far, sports is where a lot of the money is. But at least in theory, prediction markets could be a popular instrument for professional, institutional traders. Thomas Peterffy is the founder and chairman of Interactive Brokers, one of the most successful and groundbreaking electronic brokerages for both institutions and serious retail traders. Now Interactive Brokers is getting into the predictions space. In this episode, we talk to Peterffy on why he believes prediction markets will be the next big thing in markets, why he thinks his firm could be a major player, and what it will take to transform the space from a large curiosity to something seriously used by institutions.

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