Insiders Are Cashing In on Prediction Markets

17 Feb 2026 · 24 min · 11 chapters

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Podcast Episode Notes: Insiders Are Cashing In on Prediction Markets

Podcast Information

  • Title: The Journal
  • Hosts: Ryan Knutson, Jessica Mendoza
  • Description: Exploring important stories about money, business, and power, co-produced by Spotify and The Wall Street Journal.

Episode Overview

  • Episode Title: Insiders Are Cashing In on Prediction Markets
  • Air Date: February 17, 2023
  • Description: This episode discusses the rise of prediction markets like Polymarket and Kalshi. While advocates see these platforms as "truth machines," critics label them as potential vehicles for insider trading. The episode features insights from WSJ’s Caitlin Ostroff on how users are profiting and the increasing scrutiny from regulators.

Key Themes and Discussions

Introduction to Prediction Markets

  • Definition: Prediction markets allow users to bet on the outcomes of various events, ranging from politics to sports.
  • Platforms Featured:
  • Polymarket: Operates in cryptocurrency; popular for its wide array of betting options.
  • Kalshi: Operates in USD; focuses on regulated markets.

Case Study

Super Bowl Bets

  • A specific user placed 19 bets on Polymarket regarding the Super Bowl, achieving 17 correct predictions and winning approximately $17,000.
  • Analysis of the bets raised questions about whether the individual had inside information.

Predictions vs. Insider Information

  • Advocacy: Proponents argue that prediction markets provide a more accurate forecasting tool than traditional polls (e.g., predicting election outcomes).
  • Criticism: Critics are concerned that betting on non-public information could lead to insider trading, undermining the integrity of these markets.

Notable Examples of Profits

  • Accounts of users making significant profits through seemingly insider knowledge:
  • A user made nearly $1 million by successfully betting on Google-related events.
  • Predictions about geopolitical events (e.g., tensions between Israel and Iran) raised concerns over the implications of such information being traded.

Regulatory Landscape

  • Current Status: Prediction markets are regulated by the Commodity Futures Trading Commission (CFTC), but existing rules may not effectively address unique aspects of these markets.
  • Both Polymarket and Kalshi are navigating a complex regulatory environment, with accusations of operating in a gray area.
  • Recent statements from regulators indicate an increased interest in enforcing rules against potential insider trading.

Risks of Prediction Markets

  • Market Fairness: Regular users may be at a disadvantage against users with insider information.
  • National Security Implications: Sensitive information related to international conflicts can pose risks if exploited through prediction markets.
  • Potential for Manipulation: Individuals involved in bets could manipulate outcomes, similar to athletes betting on their games.

Future Outlook

  • The episode concludes with speculation about the evolution of prediction markets and potential changes in regulation.
  • New entrants, such as Robinhood and sports betting companies, are also launching prediction markets, indicating a growing trend.

Conclusion This episode of The Journal delves deeply into the controversial world of prediction markets, highlighting the tension between their potential for accurate forecasting and the risks of insider trading. With growing interest from regulators, the legality and ethical implications of these platforms remain a critical topic for discussion.

Further Listening

  • How ‘The Joker’ Rigged the Texas Lottery
  • How Parlays Became the Biggest Bet in Sports

[Get show merch here](https://wsjshop.com/collections/clothing)

Note This summary reflects insights and details shared within the podcast episode, aimed at providing a comprehensive understanding of the themes discussed.

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

Super Bowl Bets Breakdown

0:46 to 1:50

Analyzing a user's betting strategy on Polymarket during the Super Bowl.

“They bet$3 ,000 that Cardi B would, too.”

The Rise of Prediction Markets

1:51 to 2:56

Exploring the increasing popularity and accessibility of prediction markets.

“People have the ability to put money down on things they couldn't historically, and it's way more accessible than it's ever been.”

Diverse Betting Opportunities

2:57 to 3:58

Discussing the wide range of events and topics available for betting on Polymarket.

“The two most popular ones today are Polymarket and Calci.”

Accuracy vs Polls

3:59 to 5:00

Comparing the accuracy of prediction markets to traditional polling methods.

“And so there's some markets that kind of make no sense and are kind of almost just there as a joke.”

Winning Strategies and Risks

5:01 to 6:15

Examining successful betting strategies and the risks involved in prediction markets.

“While useful for predicting the future, for some, they're also useful for making money.”

Insider Information and Consequences

6:16 to 9:03

Investigating instances of potential insider trading and its implications.

“Like, someone last year made a bunch of successful bets about things going on inside Google.”

Legal Challenges and Regulations

9:04 to 14:03

Discussing the legal landscape and regulations surrounding prediction markets.

“And that sort of differs a bit depending on who you speak to, because to some degree, these trades on non-public information are somewhat of a feature and not necessarily a quirk.”

Understanding Insider Trading in Prediction Markets

14:03 to 14:59

Learn about the complexities of identifying insider trading within prediction markets.

“And so CallShe, when you sign up, you have to say who you are.”

Regulatory Perspectives on Prediction Markets

15:00 to 16:18

Explore recent regulatory actions and perspectives on prediction market enforcement.

“Recently, Mansour went on CNBC and was asked about a theoretical situation, in which a dancer for Bad Bunny made bets about the Super Bowl halftime performance.”

Risks Associated with Prediction Markets

16:19 to 18:18

Discuss the potential risks of prediction markets for traders and national security.

“Today, the head of the CFTC posted a video on X saying that his agency was the one to regulate prediction markets.”
Show all 11 chapters

The Future of Prediction Markets

18:19 to 20:49

Examine the evolving landscape of prediction markets and potential regulatory changes.

“subject of one of these bets could potentially manipulate the outcome, kind of like an athlete betting on a game they're playing in.”
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Transcript

Automatic transcript. May contain errors.

0:05Shortly before the Superbowl, someone went on Polymarket, that site where you can bet on everything from sports to politics to the weather and placed 19 very specific bets. I sat down with our colleague, Kaelin Ostroff, to take a look at that person's account. All the trades on Polymarket are public, but users can be anonymous. I want you to just like walk us through like what we're looking at here. This is the guy who's the Super Bowl guy. Yeah, so this page is the page of someone who bet very, very well on who would be performing at the Super Bowl halftime show. The person bet around$19 ,000 that Lady Gaga would have a surprise performance.

0:50They bet$3 ,000 that Cardi B would, too. They bet$10 ,000 that Travis Scott would not perform. and they bet$200 that the headliner, Bad Bunny, would open with the song, Titi Me Pergunto. And 17 of those 19 bets were correct. The person won almost$17 ,000. Yeah, and scroll up because I'm curious at one more thing. So this shows that the first trades that they made were right before the Super Bowl. So they had not traded on anything before this. And if you scroll down, you'll notice that there's no other trades after the Super Bowl ones. So there's no other types of markets that they've traded on.

1:30So based on what you are seeing here on this person's account, what can you deduce about what's going on here? So they are either a really, really lucky trader or they knew something ahead of time.

1:50As prediction markets explode in popularity, bets like these, from people who appear to have inside information, are getting a lot of attention and raising a lot of eyebrows. People have the ability to put money down on things they couldn't historically, and it's way more accessible than it's ever been. And so you have people who can just take their inside information and make a ton of money off of it in a way that you've never really had before. Welcome to The Journal, our show about money, business, and power. I'm Ryan Knudsen. It's Tuesday, February 17th.

2:35Coming up on the show, prediction markets are taking off. and insiders are cashing in.

2:56The concept of prediction markets has existed for years. The two most popular ones today are Polymarket and Calci. All Polymarket trades are done in crypto, while you can trade on Calci in dollars. And we should say here that Polymarket has a data partnership with Dow Jones, the publisher of the Wall Street Journal. These days, my social media algorithm is full of videos about these two companies. They're literally letting people bet on elections, natural disasters, even inflation. On Polymarket, you can bet if this speech is going to go over or under 65 minutes. You have sports, you have CS. Will Giannis be traded?

3:32Anyone jailed over Epstein? Iranian supreme leader out. will the U.S. acquire part of Greenland? All right, so I've got the Polymarket website up to its homepage here, and I'm seeing you can bet on politics, sports, crypto. You can bet on how many times Elon Musk will tweet in a given time period, what the next jobs report will show, who's going to win the most medals at the Summer Olympics. There's a ton of stuff on here. Yeah, so Polymarket, especially in Call Sheet to some degree, you can bet on everything. like everything. And so there's some markets that kind of make no sense and are kind of almost just there as a joke.

4:11Everyone's favorite market is the Jesus market, which you can bet whether Jesus Christ will return by the end of 2027. If he doesn't come by 2027, they're going to make money on that prediction. I don't know what the odds are right now, but the last time I looked, it was like a 95 % chance that he won't return, which implied like a 5 % chance that he will. The second coming of Christ aside, these prediction markets have actually been pretty accurate when it comes to elections and economic indicators. So take the election, for example, the 2024 presidential election. The polls were very close between Donald Trump and Kamala Harris, with the slight exception of on polymarket, where the people who were putting down money were betting more than the polls that Donald Trump would win.

5:00And so that was kind of one of the major inflection points where you saw a prediction market be more accurate than traditional polls. And the idea behind that is that if you have to put money on the line that you think this is going to be the outcome, that's different than just telling a pollster who you're going to vote for because you don't have much of an incentive to be honest. Right, exactly. While useful for predicting the future, for some, they're also useful for making money. Bro made$1.9 million in a month on Polymarket. I made almost$500 ,000 in profit on prediction markets like Kalshi and Polymarket in 2025.

5:40I have been seeing ads for Kalshi on my social media feeds that advertise it as a side hustle, as a way to pay your rent. Hey man, what's the best side hustle? Oh, Kalshi, easy. Kalshi? What's that? Which I found very surprising because I'm like, isn't this ultimately a betting app? It is. And I've seen a couple of those too. And again, this is, it's betting. Like, unless you are trading with information that isn't public and you are more certain of the outcome, it is a gamble. But it looks like there are people trading with information that isn't public. Like that person who made those Super Bowl bets.

6:17And there are a lot of other examples. Like, someone last year made a bunch of successful bets about things going on inside Google. That account, named Alpha Raccoon, correctly guessed 22 out of the top 23 search terms of the year. They also correctly bet on the exact date that a new Gemini AI model would be released. In the course of just a few days, the person ended up making nearly a million dollars on these and similar bets. Google didn't respond to a request for comment. Some people are profiting off even more consequential events. In June of last year, as tensions flared up between Israel and Iran, and the two countries started firing missiles at each other, someone on Polymarket started placing bets about what was going to happen next.

7:08So there was one user who started making all of these very correct bets on when strikes would start to happen and when a ceasefire would be called. And so because of that, people online were quick to latch on to this and be like, this person is doing really, really well at, you know, this sensitive market. Like, whether Israel was Cheikován is something not many people should know about, but they might know something that the rest of us don't. This account ended up making more than$150 ,000. Last week, Israeli authorities said they arrested several people, including Army reservists, in connection with these bets.

7:50A lawyer for one of the reservists said in a statement that there were defects in the indictment and improper conduct by the investigative authorities. The most recent one, major one, was the ousting of Nicolas Maduro in Venezuela, where, you know, I woke up after New Year's to see that all of a sudden this account had made$400 ,000 off of betting when Maduro would be ousted. And you could see the bets leading up to the strikes. You know, those happened at 2 a.m. And you could see bets being placed right up until about 11 p.m. the night before. And they were just, you know, doing more and more of these chunks of bets that this would happen.

8:31And so those were kind of the ones that stuck out for us where we were like, we can't say for sure if it's people trading on non-public information, but it looks really – the odds of someone guessing that correctly and then doubling down in the three hours leading up to the spike. Yeah, like the odds of that are so small that you have to convince me that it's not insider trading at that point. What kind of questions does it raise if this can happen? I mean, I think the main question it raises is, you know, one of the things that I've really been thinking of is how often are people trading on non-public information on these markets?

9:16And, you know, how serious is that? And that sort of differs a bit depending on who you speak to, because to some degree, these trades on non-public information are somewhat of a feature and not necessarily a quirk. The idea of prediction markets is that they present themselves as a vehicle to get more accurate information than you might be able to get from traditional sources. And so if you have a platform where anyone, without saying who they are, can say, I think this is going to happen and I'm putting my money down on it, it could incentivize people who are either smarter and find different information or know more about an event than the average person to kind of put that out there in a way that can be seen to everyone.

10:03Polymarket in particular has pushed this idea. The company's CEO, Shane Copeland, has described his platform as a, quote, global truth machine. People going and having an edge to the market is a good thing. Here he is in an interview recently on 60 Minutes. Obviously, you need to curate them and you need to be really clear and stringent on where the line is drawn and, like, sort of ethics, and we spend a lot of time on that, but it's sort of an inevitability that this will happen and there's a lot of benefits from it and, you know, people will adapt. We spoke to their CEO, Shane Copeland, And he was like, you know, the thing with insider trading is that you can see it online.

10:41If there's a suspected insider, like with the Maduro bets, like with the Israel bet San Ivan, the market can see what's happening and traders can say, hey, I think this is an insider. And maybe that dissuades people from putting money in that market. So this type of betting is happening. But is it even legal?

11:05That's next.

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12:05outcome in advance. Technically, insider trading is also prohibited on prediction markets, which are regulated by the CFTC, the Commodity Futures Trading Commission. But those CFTC rules were designed for things like wheat and copper futures, and they don't readily carry over to prediction markets. You know, there's not really rules about, like, here's the exact parameters of everything you can try and list. There's not rules around, well, you know, what may be additional information do you need to collect because the risk of insider trading might be higher here than it is on other types of financial markets.

12:42Making matters more complicated is the fact that some state governments have tried to say that Calci and Polymarket need to follow state gambling rules, something that companies disagree with. As a result, Calci and Polymarket have been operating in something of a gray area, and the two companies have been navigating that in different ways.

13:05For instance, a lot of the more out-there bets on Polymarket are actually not allowed on the U.S. version of its site. But Polymarket also has this wider international platform where you can bet on all of these geopolitical markets that aren't on the U.S. version. But it is fairly well known that it's not that hard to do that with a VPN. You just change the country where you appear to be located, and you can make all sorts of bets. A spokeswoman for Polymarket didn't comment on U.S. customers using VPNs to place bets. The other platform, CalShe, has taken a different approach. It's legal and regulated in the U.S., and CEO Tarek Mansour says insider trading is banned on the platform.

13:49CallShe has always very much maintained that they want to be regulated, that they are trying to be the most secure, most in-line prediction market platform that people can trade on. And so CallShe, when you sign up, you have to say who you are. They collect information on your name, where you live, other basic identifying information that helps clamp down on some of that. Right. So they could potentially see, oh, these bets that you're making may actually be something that you work in or would have inside knowledge of. Right. In some cases. But that being said, it's still really hard to track this.

14:28I mean, if your best friend is, you know, the head of marketing for the company handling the Super Bowl halftime show, like, they wouldn't have a way to know that. So there's limits as to what they can actually easily figure out in terms of who has insider information and who doesn't. Mansour also said that new customers go through a vetting process, and that once on the platform, there are surveillance teams that track trading behavior, among other efforts, to police for insider trading. Still, it can be hard to figure out what's insider trading and what isn't. Recently, Mansour went on CNBC and was asked about a theoretical situation, in which a dancer for Bad Bunny made bets about the Super Bowl halftime performance.

15:14It sounds like that would be considered insider trading, right? So that's a great question, and it is a little bit of a philosophical question. What is information and what is insider information, right? If people can trade on Bad Bunny's Super Bowl halftime performance, then does Bad Bunny have an obligation to keep that information secret? If he can tell people what the lineup is and that he wants to divulge that beforehand, that's fair game. And that's part of what the risk in the market is basically people are buying into. Have regulators said anything about looking into this stuff? So prior to recently, we really hadn't seen much action from regulators on this idea of insider trading on prediction markets.

15:55That changed a little bit a couple weeks ago when Jay Clayton, who's the head of the SCNY, the Southern District of New York, Department of the DOJ. he said that, you know, prediction markets are something that they're very much looking at and that he thinks could be an area where there's enforcement going into the future. And so that's kind of the first inkling that we've seen, that this is going to be an area where regulators are starting to look more and more at.

16:26Today, the head of the CFTC posted a video on X saying that his agency was the one to regulate prediction markets. not the states. They provide useful functions for society by allowing everyday Americans to hedge commercial risks like increases in temperature and energy price spikes. They also serve as an important check on our news media and our information streams. Today, the CFTC is taking an important step to ensure that these markets have a place here in America and have the... A spokesperson for the CFTC said the agency cannot discuss enforcement measures and that investigations can take years to complete.

17:09So in the short term, at least, these kinds of prediction markets, these kinds of bets, and also the fact that insiders theoretically can make these trades, that's going to continue. What are the potential risks of that? I mean, there's kind of twofold. So one is just if you are a normal trader and you're sitting there on the couch betting on, you know, whether the Seahawks win. Or the halftime show, let's say. Or the halftime show. If you are a normal person betting in those, that's not really a fair market for you, right? Like, you're going up against people who have more information than you.

17:45On the flip side of that, you have, you know, these markets that are more sensitive. Will Maduro be ousted? Will Israel strike Iran? Those are markets that do have implications for national security. And this is information that governments keep very closely held because of the potential to have operations go wrong. And that puts lives in jeopardy and it, you know, can create all sorts of ripple effects. And so that type of information, basically becoming public, can be really dangerous. Another risk of these types of prediction markets is that people who are the subject of one of these bets could potentially manipulate the outcome, kind of like an athlete betting on a game they're playing in.

18:28For instance, last October, people made bets on Polymarket that the CEO of Coinbase, Brian Armstrong, would say certain words during the company's earnings call, and he took notice. I was a little distracted because I was tracking the prediction market about what Coinbase will say on their next earnings call, and I just want to, you know, add here the words Bitcoin, Ethereum, blockchain, staking, and Web3 to make sure we get those in before the end of the call. So in that instance, Brian Armstrong could just be playing around for fun. Yeah. Or theoretically, he could have seen that bet, put a bunch of money down, and then decided to say what he bet on, basically.

19:10Right, exactly. A Coinbase spokeswoman said that the company has policies to, quote, prohibit employees, including executives, from participating in prediction markets on any related confidential activity involving the company. She also said that Armstrong's remarks were made in a, quote, lighthearted, offhand way. There's all of these different ways in which you can have potential manipulation of prediction markets. And those, again, to the average person, can be really hard to see. If you're a normal person, it's rife with potential for manipulation and discrepancy, and it can be really hard to navigate.

19:50So what do you expect is going to happen next with these platforms? That's a great question. Can we bet on it on Polymarket? Polymarket does not have markets for itself yet. Maybe they'll listen to this and ask them. By the way, Caitlin fact-checked this after we spoke, and there actually have been markets about Polymarket itself. I am interested to see what happens with this idea of the risks of insider trading. I'm interested to see whether Polymarket winds up, you know, beefing up some of the protections that it has against insider trading or user identity information that's collected. But I think we're still very young in both of these.

20:33And what I've learned from covering crypto for so many years is that all of these kind of new platforms start as these very kind of immature products that figure out how they're going to deal with regulation and manipulation and all of this stuff as they go. And so this, while being a new platform, isn't necessarily a new playbook. And regulators are going to be looking at it more and more. What they decide to do is going to inform, you know, what protections we put on these platforms going forward, if any. And so I think we're still at a really young age for this to try and figure out how this develops.

21:14One thing's for sure, these prediction markets aren't going away. In fact, more companies are launching them every day, like the investing app Robinhood and the sports betting apps DraftKings and FanDuel. And even President Trump's media company announced it's launching its own prediction market that will be available on Truth Social, called TruthPredict.

21:48That's all for today. Tuesday, February 17th. The Journal is a co-production of Spotify and The Wall Street Journal. Additional reporting in this episode by Alexander Osipovich and Dov Lieber. Thanks for listening. See you tomorrow. you

From the publisher

Prediction markets like Polymarket and Kalshi are booming, but they’re facing questions about users betting on information that is not publicly available, from Super Bowl performances to geopolitical crises. Advocates for the platforms say they are "truth machines" but critics say they’re a new vehicle for insider trading. WSJ’s Caitlin Ostroff explains how users are making fortunes, and why regulators are starting to take notice. Ryan Knutson hosts.

Further Listening:

- How ‘The Joker’ Rigged the Texas Lottery

- How Parlays Became the Biggest Bet in SportsSign up for WSJ’s free What’s News newsletter.

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