Prediction markets have spent most of 2026 fighting over a basic legal classification:
Are they derivatives or gambling？
A new congressional inquiry highlights another question that may matter just as much:
Can these markets detect trading based on nonpublic information？
On September 29, House Oversight Committee Chair James Comer expanded an investigation into trading controls at platforms including Hyperliquid Labs, Crypto.com and Aristotle Exchange, the owner of PredictIt.
The requests seek records around customer identity verification, employee trades, suspicious trading, referrals to regulators and controls around material nonpublic information.
The inquiry follows earlier requests involving Kalshi and Polymarket.
The committee has not established that the platforms committed wrongdoing.
The significance is structural.
As event markets become larger and more financialized, they increasingly need the same market-integrity infrastructure expected from securities and derivatives venues.
Public Events Can Still Have Private Information
Prediction markets are often described as markets on public events.
That can create the impression that insider trading is irrelevant.
It is not.
Many events are public only at resolution.
Before that point, information can be highly asymmetric.
Examples include government policy announcements, regulatory decisions, corporate earnings, product launches, personnel changes and geopolitical decisions.
A government employee may know an announcement before publication.
A company employee may know earnings before release.
A platform employee may know a token listing before users do.
A market that lets participants trade on those events can create opportunities for information-based abuse.
The Hyperliquid Example Shows the Boundary Problem
The congressional inquiry reportedly references a large leveraged short opened on Hyperliquid before a U.S. tariff announcement in 2025.
The committee has not established that the trader possessed nonpublic information.
The example is important because Hyperliquid is not a conventional prediction market.
It is a decentralized derivatives venue.
That means the surveillance problem extends beyond event contracts.
A trader can express a view on confidential government information through prediction markets, perpetual futures, options, crypto spot or equities.
The regulatory question is therefore not confined to one product label.
It is about information abuse across interconnected venues.
KYC and Market Surveillance Solve Different Problems
Knowing who a customer is does not tell you whether a trade is suspicious.
Market surveillance needs to analyze behavior.
A mature system may look for unusual position size, timing before a known announcement, related accounts, employee-linked activity, repeated success around confidential events and coordinated trading across venues.
KYC helps investigators connect a trade to a person.
Surveillance helps identify which trades require investigation.
Prediction markets need both.
Employee Trading Is Especially Sensitive
Platforms themselves can hold valuable nonpublic information.
Employees may know new markets before launch, token listings, internal risk decisions, large customer orders or product changes.
Traditional financial institutions use personal-trading policies and restricted lists to manage those conflicts.
Crypto platforms have historically varied widely in how formal those controls are.
As exchanges add stocks, prediction contracts and tokenized securities, informal policies become less defensible.
Why It Matters
Prediction markets are becoming information markets with real economic weight.
That means market integrity becomes part of product quality.
A market can have excellent liquidity and still be unhealthy if participants believe insiders have an unfair informational advantage.
Trust requires more than correct settlement.
It requires confidence that the platform can identify and investigate abusive trading.
This is the same transition crypto exchanges went through as they matured.
The infrastructure stack expands from:
matching + custody + settlement
to:
identity + surveillance + case management + regulatory reporting
Decentralized Venues Face a Harder Problem
A centralized exchange can require identity verification and freeze accounts.
A decentralized venue may allow wallet-based access.
That makes surveillance possible but attribution harder.
Onchain transparency can help.
Every trade is visible.
But a wallet address is not a legal identity.
Protocols therefore face a choice: remain fully open and accept weaker identity controls, add front-end KYC, screen specific markets, build risk-based access layers or rely on intermediaries.
Each option changes the decentralization model.
Prediction Markets Are Becoming a Compliance Convergence Zone
The category now touches several regulatory regimes at once:
- derivatives;
- gambling;
- insider trading;
- consumer protection;
- AML;
- sanctions.
That is why the sector is attracting attention from states, the CFTC, Congress and other regulators simultaneously.
A platform can win one jurisdictional argument and still face another form of oversight.
The industry should expect compliance architecture to become a competitive capability rather than a back-office cost.
Risks and Counterarguments
Congressional information requests are not findings of wrongdoing.
The committee has not established that the cited trades involved illegal insider information.
Prediction markets can improve information discovery and may reveal probabilities more effectively than surveys.
Overly broad surveillance rules can reduce privacy and increase compliance costs.
Decentralized platforms may not be able to implement the same controls as broker-dealers without changing their architecture.
What to Watch Next
Watch platform responses to the committee, whether the inquiry produces hearings, customer-identification changes, employee-trading policies, suspicious-trade referral data, CFTC involvement and parallel state litigation.
The long-term question is not whether prediction markets will face surveillance requirements.
It is how those requirements will be adapted to markets that mix centralized interfaces with onchain execution.
FAQ
Has Congress accused Hyperliquid or Crypto.com of insider trading？
The committee is seeking information about controls and suspicious activity. The requests are not a finding that the platforms committed wrongdoing.
Why does identity verification matter？
It helps connect suspicious trades to real people or entities.
Is KYC enough to prevent insider trading？
No. Platforms also need behavioral market surveillance and investigation procedures.
Why is Hyperliquid part of a prediction-market inquiry？
The broader concern is trading on nonpublic information, which can occur through perpetual futures and other markets as well as event contracts.
What is the main industry implication？
Prediction and crypto trading venues increasingly need exchange-grade market-integrity systems, not only liquidity and settlement.