Event markets, where people trade on the outcomes of future events, have rapidly become popular, now covering everything from elections and economic data to real-world happenings. This increased activity, however, raises questions about fairness and information access – specifically, who has inside knowledge and when they use it. The recent controversy involving insider trading on Polymarket has brought these prediction markets under increased scrutiny from regulators.
This article explains insider trading rules for event markets, including changes that took effect in 2026, and outlines the policies platforms should follow. It provides helpful checklists for both event market operators and traders, compares different approaches to preventing market abuse, and offers actionable steps to minimize risk while maintaining a healthy level of trading activity.
Quick Answer
Over the first half of 2026, I observed prediction markets becoming more sophisticated. Trading volume increased around major U.S. economic reports and elections, and the difference between buying and selling prices decreased as more participants entered the market. Simultaneously, I began receiving inquiries about monitoring these markets, particularly after Polymarket and Kalshi received letters from Congress, and after seeing demonstrations of systems designed to detect unusual activity by linking user behavior to news events. Discussions with product managers revealed that many still lacked formal procedures for handling incidents. My conclusion is that while the technology to prevent misuse is improving, the processes and transparency around these markets need to develop at the same pace. — Sophia Bennett
As a researcher studying these markets, I’ve found that event markets, which allow people to bet on real-world outcomes, are just as susceptible to abuse as traditional stock markets if someone has inside information. The situation with Polymarket really highlighted this – without proper oversight, things can quickly get out of hand. In 2026, we started seeing increased attention on this issue. Congress began asking questions about how these platforms verify user identities and monitor trading, academics started tracking how information leaks, and the platforms themselves began using blockchain tools to watch for suspicious activity. My conclusion is that prediction markets need their own specific rules and safeguards to prevent abuse, and we need them now.
- Congressional oversight has asked for concrete KYC, geo-controls, and trade-surveillance records.
- Polymarket announced a Chainalysis-powered integrity stack to flag anomalies.
- Fresh research shows measurable signs of informed trading and leakage.
- Clear definitions, surveillance, and disclosures can cut abuse without strangling markets.
What actually counts as insider trading on prediction markets?
Insider trading requires information to be both significant and not yet publicly available. In the context of prediction markets, ‘significant’ means the information could noticeably change the expected outcome of a market – for example, early economic data, unpublished poll results, internal strategy documents, or an upcoming investigative report. ‘Not public’ simply means the information isn’t widely available to the average person participating in the market before they have a chance to trade.
Event markets often deal with simple outcomes – yes/no or numerical results – which makes it easier to spot when someone has valuable inside information. For example, if someone sees early voting results, has access to confidential economic data, or knows about a big news story before it’s released, they could quickly influence the market. Therefore, event platforms need to clearly state what’s considered illegal, such as trading based on secret official data, private polls, or information about event outcomes before it becomes public.
Unlike the stock market, where knowing someone within a company can give you an unfair advantage, event markets are different. Anyone with early information about what will happen – like government officials, pollsters, campaign workers, journalists, or those verifying results – could be considered an insider for certain markets. Therefore, the rules need to account for this much wider range of people who might have privileged information.
Why is the Polymarket situation a tipping point in 2026?
Several things happened at once. On May 22, 2026, the U.S. House Oversight Committee began a formal investigation into Polymarket and Kalshi, requesting information about their customer verification, location restrictions, and how they monitor trading by June 5, 2026. This clearly shows that event markets are now a key concern for policymakers (The Block).
On April 30, 2026, Polymarket partnered with Chainalysis to implement a system for monitoring the fairness of its markets. This system includes tools to detect unusual activity and potential manipulation, representing a move from simply listing markets to actively watching for problems (as reported by Business Wire and Yahoo Finance).
In early May 2026, new research began circulating showing ways to spot unfair advantages in decentralized markets. One study found that a small group – about 3.14% of accounts – consistently won, and around 1,950 accounts were identified as potentially using inside information. This suggests it’s possible to statistically detect when people are trading with an unfair edge. This research joins growing efforts from regulators, surveillance companies, and other researchers who are all focused on the same issue.
How do event markets differ from equities under market-abuse law?
Traditional insider-trading rules focus on companies, their leaders, and announcements about earnings. Event markets are different – they don’t have companies in the usual way, and rely on external sources for results. This means the ways someone could illegally use inside information are different, and who might be considered an ‘insider’ changes too.
Here’s how important safeguards used in traditional finance apply to event markets. To create a strong set of rules for these markets, we need to combine ideas from financial regulations with principles of data management and reliable information sources.
Here’s a breakdown of key areas for maintaining fair and transparent markets, covering both traditional finance and emerging decentralized systems:
Areas of Focus: This includes stocks, derivatives, and newer event-based markets (like prediction markets and those built on blockchains).
What’s Considered Confidential Information (MNPI): This covers financial details about companies, potential deals, and any information that could affect market outcomes – like early poll results, statistics not yet publicly released, or decisions made by data providers (oracles).
How Information is Shared: Traditional rules require regular reports and adherence to Regulation FD. For newer systems, transparency is key – meaning clear announcements from oracles, defined rules for how outcomes are determined, and a clear record of where data comes from.
Monitoring for Issues: Existing systems use broker and exchange monitoring, along with regulations like CAT and EMIR. For decentralized systems, we need to analyze on-chain data, combine it with off-chain information, and detect unusual activity.
Managing Conflicts of Interest: Traditional methods include insider lists and blackout periods. This needs to extend to those involved in prediction markets – campaign staff, government officials, media, and those operating oracles – with clear restrictions and verification of sensitive roles.
Tools for Maintaining Market Health: Traditional tools include trade halts and corrections, along with regulatory oversight. For newer markets, we need ways to pause trading, address disputes, and manage liquidity, with clearly defined rules and emergency procedures.
Essentially, the core ideas of transparency, monitoring, and consequences still hold true, but who’s involved and how things work has changed. To make things function properly, we need to clearly define responsibilities for those providing data, as well as the platforms themselves – not just the traders.
Which safeguards can platforms deploy without killing liquidity?
In my research, I’ve found that effective regulation is about finding a balance. We can minimize misuse and still benefit from the information these markets offer if we focus on discouraging bad actors and ensuring clear accountability. Simply banning things outright tends to discourage legitimate participation, which defeats the purpose.
Here’s an operator checklist that balances integrity and growth:
- Scope rules by market type: define prohibited sources per category (macro prints, elections, sports, corporate events).
- Identity tiers: require stronger KYC for higher limits; bind accounts to durable identifiers while respecting privacy laws.
- Geo-controls: implement IP/VPN checks and sanctions screening; document evasion responses for regulators.
- Surveillance: deploy on-chain clustering and anomaly models; review outliers post-resolution and during live markets.
- Oracle governance: publish signer sets, quorum rules, and change-management; log every edit to market criteria.
- Conflict policies: restrict trading by staff, contractors, oracle signers, and designated insiders; require attestations.
- Transparency: timestamp all announcements; provide a tamper-evident event feed for material updates.
- Controls: codify circuit breakers, trade-cancel policies, and escalation paths to independent oversight.
- Case handling: maintain an investigations playbook with timelines, evidence standards, and user-notification templates.
New developments, like Polymarket using Chainalysis to improve market fairness, demonstrate that monitoring can be added without making the user experience difficult (Business Wire / Yahoo Finance). The important thing is to clearly explain how warnings are handled, what causes trading to stop, and how users are compensated if a trade is reversed.
As a trader, how do I avoid getting swept into an abuse probe?
Traders generally prefer fair markets with clear guidelines. To prevent misunderstandings and ensure compliance, it’s important to document where you get your information and why you’re making specific trades. Steer clear of any information that isn’t publicly available.
Practical steps:
- Document thesis formation: bookmark articles, polls, and public datasets you relied on.
- Timebox trading around embargoed releases; avoid trading the minute before known unlocks unless your basis is clearly public.
- Don’t trade if you work with sensitive data (pollster, campaign, newsroom, public agency) relevant to the market.
- Separate accounts and devices for research vs. trading to maintain clean logs.
- Use venues that publish surveillance and appeals processes; read the fine print on busts and halts.
A good rule of thumb: don’t trade on information you wouldn’t want to reveal later. While quick reactions are important in event markets, it’s not worth creating a record you’d rather hide.
With the House Oversight Committee now requesting documents from large event venues, we anticipate stricter rules and quicker investigations (The Block). The best way to protect yourself is to have a clear and documented process for everything you do.
Where do oracles and data suppliers fit in the rulebook?
Oracles determine the final results of markets. Any advance knowledge of these results by those running the oracle – including the people signing off on data or providing the information itself – is considered key, non-public information. Market platforms should clearly state who operates the oracle, what data sources are trusted, and how disagreements are resolved.
To ensure fairness and transparency, it’s best to clearly identify who is making decisions (by name or role), establish a clear agreement on how decisions are reached, and allow a short delay between announcing a final outcome and officially settling the market. This delay allows time to review trading activity for anything unusual. It’s also crucial to keep a public, unchangeable record of any changes to the market’s rules or how outcomes are determined.
When reporting on data-driven market events (like economic reports), always include the official release time, a link to the source calendar, and clearly define what would be considered a delay or revision. Adding this small amount of information upfront can help avoid disagreements later on.
Is regulation inevitable—and what would a workable rulebook include in 2026?
Increased oversight is already happening, and the key question now is how strict it will be. Recent requests from Congress for specifics on ‘Know Your Customer’ practices, location restrictions, and monitoring show regulators are prepared to evaluate these areas (The Block).
By 2026, a practical approach to preventing leaks could involve: clearly defining what information is off-limits for each category; consistently monitoring for breaches with specific timeframes for responding to alerts; maintaining lists of potentially risky individuals and requiring verification for sensitive positions; ensuring transparency and controlled updates to data sources; and establishing a fair review process with independent monitoring. Consequences for violations should match the severity of the damage caused, ranging from reversing transactions to temporary or permanent bans, and potentially involving legal authorities when laws are broken.
Effective oversight relies on solid research. New studies are emerging that can reliably identify genuine investment gains from potentially fraudulent activity, giving platforms a clear justification for taking action. When combined with detailed blockchain analysis from specialized providers, platforms can prevent misuse without resorting to overly broad restrictions.
Common Mistakes
- Vague rules: Banning “manipulation” without defining MNPI by market type invites disputes. Publish category-specific examples and FAQs.
- No audit trail: Failing to log market text changes or oracle decisions undermines trust. Use immutable timestamps and public diffs.
- All-or-nothing KYC: Flat identity rules can crush liquidity. Use tiered limits tied to verification depth.
- Black-box surveillance: Secret criteria erode legitimacy. Disclose high-level detection logic and user rights in investigations.
- Ignoring conflicts: Letting staff, contractors, or oracle signers trade related markets is a recipe for headlines. Mandate attestations and exclusions.
- Overreactive halts: Frequent, unexplained pauses deter market makers. Predefine halt thresholds and communicate clearly when used.
For the latest news, in-depth analysis, and useful information about how cryptocurrency markets work, check out Crypto Daily.
Frequently Asked Questions
Are election markets uniquely vulnerable to insider trading?
Because political campaigns, pollsters, and news outlets often have detailed, rapidly changing information, trading based on that information carries specific risks. Limiting trading by people in those positions, and requiring them to reveal any private polls used in market reports, can help level the playing field.
Do on-chain privacy tools make surveillance impossible?
Even without relying on specific on-chain signals, unusual patterns can still be found by looking at how different entities group together, how users act across various markets, where funds are moving, and if activity lines up with real-world events. The fact that platforms are building out dedicated systems to detect these issues shows that finding them is still possible.
Does geofencing absolve platforms if users spoof locations?
Simply having geofencing isn’t enough to guarantee security. Investigators routinely examine things like IP addresses, device details, and payment information. The key is for venues to have sensible security measures in place, keep records of how they handle attempts to bypass those measures, and fully cooperate with legal requests for information.
What if a trader learns something by being physically present (e.g., at a courthouse)?
What you know matters, and how you got it isn’t always the point. If information isn’t public but could significantly impact trading results, using it to trade could break the rules of the exchange – even if you obtained it legally. Exchanges should provide clear examples of what’s prohibited and, when possible, investigate any last-minute trades that seem suspicious before finalizing them.
Could zero-knowledge attestations help?
It’s possible for traders to demonstrate they aren’t associated with restricted groups – like those involved in oracle signing or campaign work – without disclosing their personal identities, which would strike a good balance between privacy and maintaining a trustworthy system. Whether this approach is widely used will depend on how easy it is to use and whether regulators approve of the entity verifying these claims.
Are small or thinly traded markets safer from manipulation?
Because smaller markets often require less money to operate, it can be easier to influence them – not more difficult. This suggests we should use controls based on risk levels, like stricter monitoring or carefully chosen listings, for these types of markets.
What happens if an oracle makes a mistake?
It’s essential to have a clear and open way to handle disagreements, with specific reasons for errors clearly listed and established solutions like re-review or refunds. Sharing how signers voted and their reasoning will make the process more trustworthy and help prevent problems down the road.
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2026-05-29 18:21