● Live Wisconsin AG suit vs Kalshi & Polymarket pending · NY/IL insider-trading orders in effect · Updated May 2026
● Legal guide · Updated May 2026

Insider Trading in
Prediction Markets

Prediction markets create a new category of legal questions: if you work in politics, finance, or sports: can you trade on what you know? The answer is nuanced. CFTC-regulated platforms prohibit material non-public information (MNPI), but domain expertise from public information is legal. Here's where the line is drawn.

Strategy guide → CFTC regulation explained →
The key distinction

Edge vs. insider trading: where is the line?

The fundamental question is: is your advantage based on public information or non-public information?

✓ Legal to trade on
  • Your own analysis of public economic data
  • Domain expertise (you're a doctor trading healthcare policy markets)
  • Superior research into historical base rates
  • Reading primary sources faster or more carefully
  • Local knowledge of publicly observable facts
  • Quantitative models built from public data
✗ Potentially illegal
  • Government official trading on advance policy knowledge
  • Fed employee trading rate markets before FOMC announcement
  • Political insider trading on legislation they're writing
  • Sports insider with knowledge of player injury not yet disclosed
  • Corporate executive trading on acquisition event contracts
  • Any MNPI that cannot be recreated from public sources

The test courts and regulators apply: could any analyst working from only publicly available sources have arrived at the same information advantage? If yes, it's legal. If no (if the advantage requires access to non-public information) it crosses into MNPI territory.

Legal framework

How prediction markets differ from securities law

Prediction markets are commodities, not securities

Securities insider trading law (SEC Rule 10b-5, Dodd-Frank) applies to trading on MNPI about securities: stocks, bonds, options on companies. CFTC-regulated prediction market contracts are legally classified as commodity derivatives or event contracts, not securities. This means the securities insider trading framework does not directly apply.

Instead, prediction market MNPI risk is governed by:

CFTC anti-manipulation rules
The Commodity Exchange Act (CEA) prohibits manipulative or deceptive practices in commodity markets. Trading on MNPI to move prices in your favor could be classified as market manipulation under CEA §6(c).
CFTC Rule 180.1
Prohibits knowingly delivering or causing to be delivered false or misleading statements in connection with commodity transactions. Using MNPI to establish positions before expected price moves could trigger this.
Platform terms of service
All CFTC-regulated platforms (Kalshi, ForecastEx/IBKR) explicitly prohibit trading on MNPI in their user agreements. Violations can result in account termination and disgorgement of profits, independent of federal enforcement.
Federal criminal statutes
Wire fraud, commodities fraud (18 U.S.C. § 1348), and honest services fraud could all theoretically apply to egregious cases of MNPI trading in event contracts, even if the specific "insider trading" statutes don't apply directly.

The gray zone: corporate event contracts

Some prediction market contracts border on securities-adjacent: "Will Company X announce a merger this quarter?" or "Will Company X's stock close above $200?" If a corporate insider trades these contracts using knowledge of a forthcoming corporate action, both CFTC anti-manipulation rules and SEC securities fraud statutes could potentially apply: even though the instrument itself is classified as a commodity derivative.

⚠ Caution for corporate insiders

If your employment gives you access to material non-public corporate information, trading prediction market contracts related to your company: its stock price, acquisitions, earnings, or leadership: carries meaningful legal risk even in the absence of specific precedent. Consult a securities attorney before trading.

Government officials

Can government officials trade political prediction markets?

This is the most prominent and legally unresolved question in prediction market insider trading. It has several layers:

Federal employees with policy knowledge
High legal risk
A Treasury official who knows the next Treasury auction size before public announcement, or a Fed staffer who knows the rate vote outcome: trading event contracts on these outcomes would almost certainly violate CFTC anti-manipulation rules, government ethics regulations, and potentially the STOCK Act (which prohibits trading on non-public government information).
Members of Congress
High legal risk
The STOCK Act (2012) prohibits members of Congress and staff from trading on material non-public information they receive through their government duties. This has traditionally been interpreted to cover securities, but trading political event contracts using non-public legislative information likely falls within its spirit and could be prosecuted under honest services fraud.
State and local officials
Elevated risk
State officials are not covered by the STOCK Act directly. But trading prediction markets on local political outcomes using non-public government information could implicate state ethics laws, state anti-corruption statutes, and CFTC anti-manipulation rules. The legal risk is elevated, though enforcement precedent is essentially zero as of 2026.
Former government employees
Context-dependent
Former officials may retain obligations around information learned during their tenure. Post-employment cooling-off periods, classification obligations, and non-disclosure agreements can restrict trading on information obtained while in government service for months or years after leaving.
Bottom line for government officials

If you hold a government position that gives you advance knowledge of policy decisions, legislation, or government data releases, consult your agency's ethics office and an attorney before trading any prediction market contracts related to your area of responsibility. The legal landscape is unsettled and the reputational risk is high even if criminal charges are unlikely.

Regulatory posture

CFTC enforcement: where things stand in 2026

As of May 2026, the CFTC has not brought any major enforcement action specifically for prediction market insider trading. The agency's attention has been focused on:

CFTC focus

Whether event contracts are legal products

The October 2024 Kalshi injunction was about this foundational question: not insider trading within the markets.

CFTC focus

Anti-manipulation in crypto markets

CFTC enforcement resources have been heavily allocated to crypto futures and spot market manipulation cases.

CFTC focus

State-level preemption battles

CFTC is engaged in the broader jurisdictional fight with NY and IL governors' executive orders in 2026.

The current enforcement gap doesn't mean MNPI trading is consequence-free: platforms can terminate accounts and pursue civil remedies without CFTC involvement. And as prediction markets grow in volume and public prominence, regulatory scrutiny will increase. Academic research already flags suspicious trading patterns around political announcements on major platforms.

Academic context

What research shows about MNPI in prediction markets

Several academic studies have examined trading patterns in prediction markets for signs of informed trading:

Pre-announcement price drift
Multiple studies of Polymarket and PredictIt data show that political event contract prices frequently drift in the direction of eventual outcomes in the hours before official announcements. This is consistent with either sophisticated public information processing or MNPI trading: the studies cannot definitively distinguish.
Volume spikes before resolution
Unusual volume increases before major political and economic announcements have been documented in prediction market data. Again, this is consistent with both informed traders acting on MNPI and informed traders acting on analysis of public information.
Better forecasting than polls
The same price efficiency that makes prediction markets valuable forecasting tools also implies that either: (a) markets are very good at aggregating public information, or (b) some participants have MNPI. Disentangling these is an active research area.
FAQ

Common questions on insider trading and prediction markets

Is insider trading illegal in prediction markets? +

Trading on material non-public information (MNPI) in CFTC-regulated prediction markets can violate CFTC anti-manipulation rules and platform terms of service, and potentially federal criminal statutes. However, the legal framework is different from securities: "insider trading" as a named offense under securities law doesn't directly apply. Consult an attorney if you have specific concerns.

Can I trade a prediction market if I work in the field being predicted? +

Domain expertise from public information is legal. An economist trading Fed rate markets using their own analysis of public economic data is fine. What crosses the line is non-public information: if you work at the Fed and know the rate decision before it's announced, that's MNPI and trading on it is likely illegal.

Can government officials trade political prediction markets? +

This is legally unsettled. Federal officials have the strongest risk: the STOCK Act, ethics regulations, and CFTC anti-manipulation rules all potentially apply. State officials have less direct legal exposure but face ethics and corruption statute risk. Bottom line: if you have advance knowledge of a government action, don't trade the prediction market for that outcome.

Are there any documented prediction market insider trading prosecutions? +

No major CFTC enforcement actions for prediction market insider trading as of May 2026. The CFTC has focused on foundational questions about whether event contracts are legal products, not on insider trading within them. This enforcement gap may narrow as markets grow.

Related

More guides

Regulation

CFTC and prediction markets

How the CFTC regulates event contracts and what federal preemption means.

 Taxes

Prediction market taxes

1099 reporting, ordinary income, loss deductions, and state tax rates.

 Strategy

Strategy & bet sizing

Kelly Criterion, finding edge, and managing prediction market risk.