Regulatory Arbitrage on Kalshi: Understanding Which U.S. Events Are Tradeable, Which Are Restricted, and Why Policy Keeps Changing

A trader seeking to build a position on the probability of a Federal Reserve rate decision, an election outcome, or a corporate earnings miss faces a puzzle: the contracts available on one prediction market platform may be unavailable on another, or may disappear without warning. The reason is not a gap in supply or sudden lack of interest. It is financial regulations—a shifting boundary between what the Commodity Futures Trading Commission (CFTC), the Securities and Exchange Commission (SEC), and state regulators permit, what they prohibit, and what they have not yet decided. Understanding that boundary is essential because regulatory changes directly affect contract availability, pricing efficiency, and the ability to execute hedging or speculative strategies.

Kalshi, a regulated exchange operating under CFTC oversight, has repeatedly encountered that boundary. The platform began by offering contracts on clear economic and political outcomes, then expanded into contracts on government policy decisions and vote margins. Each expansion prompted regulatory scrutiny. Some contract types were permitted to launch; others were blocked through regulatory guidance or legal challenge. The practical result is a complex landscape where traders must track not only what contracts exist today, but also which categories face regulatory headwinds and why the platform’s offerings may shift suddenly. This complexity is not a flaw unique to Kalshi—it reflects broader uncertainty about how financial regulations should define, supervise, and limit prediction markets in the United States.

The CFTC’s evolving interpretation of financial regulations on prediction markets

The Commodity Futures Trading Commission has authority over futures and options markets in the United States. In 2012, it granted the first relief order to an application seeking to offer contracts on economic releases and other non-sports events. That decision established a regulatory pathway, but it also created boundaries. The CFTC generally approved contracts on events where the outcome is objective, verifiable, and determined outside of the control of market participants. Economic data releases fit that description; an unemployment figure is published by the Bureau of Labor Statistics, checked against predetermined ranges, and the contract resolves accordingly.

However, the agency’s interpretation of financial regulations has not remained static. In 2021 and 2022, Kalshi filed for and received approval to offer contracts on Congressional votes, the federal funds rate, and other government policy decisions. Those approvals signaled a regulatory acceptance that contracts on official decisions and policy-driven outcomes were compatible with CFTC oversight. Yet that openness has limits. Contracts on individual states’ legislative votes, city council decisions, or events that might be influenced by the market itself have faced either implicit rejection or explicit constraint.

The underlying regulatory concern is that a prediction market could create perverse incentives. If a contract’s value depends on a decision made by someone who also has financial exposure to that contract, the market might not serve its intended function of aggregating forecasts. It might instead become a vehicle for bribery, manipulation, or self-dealing. The CFTC’s market oversight requirements reflect this reasoning: the regulator wants assurance that contract specifications are clear, settlement is verifiable, and the market serves a legitimate forecasting or hedging function rather than enabling corruption.

Determining where that line lies has proven difficult. Congress, the President, and individual federal officials have authority over events that participants might trade on—but those officials are also often high-ranking public figures whose decisions are legitimate subjects of public interest and forecasting. The CFTC has permitted contracts on who will be elected President and on broad congressional voting outcomes, suggesting that some government decision contracts are acceptable. The implicit logic seems to be that a prediction market on a high-profile national election is unlikely to influence the outcome through corruption, and the contracts provide genuine forecasting value. Smaller events, more easily influenced by market participants, face greater scrutiny.

Which contract categories remain restricted or permitted

As of the current regulatory environment, Kalshi and similar platforms typically can offer contracts in several defined categories. Economic releases—unemployment rates, inflation data, GDP growth, housing starts—remain among the most reliable and consistently approved categories. These are published by government agencies on fixed schedules, measured by standardized methodologies, and verifiable after the fact. A trader can rely on the contract specification without worrying that the underlying measurement will be disputed or influenced by market trading activity.

Elections and political outcomes sit in a permitted but more carefully bounded category. Presidential elections, Congressional control, and whether specific legislation will pass have been approved by the CFTC. However, contracts on narrower events—such as the margin of victory in a single state, outcomes of primary elections, or which candidate will win a specific district—have faced more restrictive treatment or outright denial. The regulatory rationale appears to be that narrower, more easily manipulable events require higher scrutiny, and that very detailed contract specifications might be harder to settle objectively.

Corporate earnings, stock price movements at specific thresholds, and index-level outcomes are generally permitted because they are publicly verifiable and determined by market forces rather than by identifiable decision-makers with obvious incentives to manipulate the underlying outcome. Technology milestones—such as when a company will reach a specific valuation or when a product will be released—have proven more contentious. Some have been approved; others have been delayed or rejected on the grounds that they are too subjective or could be influenced by the companies involved.

Restricted categories include contracts on sports events (relegated to specific approved sports markets), individual state and local government votes, individual judges’ decisions, and outcomes that depend on private corporate decisions that might be influenced by market trading activity. Environmental benchmarks—such as carbon emissions targets or temperature thresholds—have received limited approval, partly because the underlying measurements can be disputed and partly because causation is difficult to establish with certainty. The Kalshi exchange has navigated these boundaries by focusing on federal-level economic and political contracts while avoiding categories that invite direct regulatory conflict.

The distinction between CFTC-regulated exchanges and unregistered prediction markets

Not every prediction market operates under CFTC oversight. Several platforms function as information or entertainment sites that do not register as exchanges and do not offer legally binding futures contracts. They operate in a regulatory gray zone, claiming they are not offering financial instruments but rather consumer products, betting platforms, or information services. That distinction has practical and legal consequences. A platform operating without regulatory approval faces lower compliance costs, fewer restrictions on contract types, and can reach users in any U.S. state. However, it also lacks the legal protections that come with exchange registration, and its users have no formal recourse if the platform becomes insolvent, commits fraud, or changes its terms.

By contrast, Kalshi’s registration as a regulated exchange means it must maintain certain capital reserves, segregate customer funds, implement surveillance systems, and file regular reports with the CFTC. These requirements exist to protect market participants and ensure integrity. If Kalshi becomes insolvent, customer deposits held in segregated accounts should be protected. If a trader believes the market has been manipulated or contracts have been settled incorrectly, there is a formal complaint process. The trade-off is that a regulated exchange also operates under restrictions on which contracts it can offer, and those restrictions are enforced through regulatory letters, denial of relief applications, and the risk of enforcement action.

This regulatory difference has created a form of regulatory arbitrage. Traders seeking exposure to events that Kalshi cannot offer may turn to unregistered platforms, which often operate from offshore jurisdictions or claim exemptions under state law. Those platforms typically provide less protection, less transparency about how contracts are priced, and greater counterparty risk. Some shut down abruptly or fail to pay out winning trades. The choice between a regulated platform with limited contract offerings and an unregulated platform with broader offerings is fundamentally a choice between different types of risk: regulatory constraint versus counterparty vulnerability.

International regulatory approaches and their effect on Kalshi’s strategy

Prediction markets outside the United States operate under very different regulatory regimes. The United Kingdom permits betting exchanges to offer markets on a much broader range of events, including individual sports matches, political outcomes, and weather-related events. Australia’s gambling commission oversees some prediction markets under a lighter regulatory touch. The European Union has been cautious but less prohibitive than the CFTC in some respects. These international differences create a secondary form of regulatory arbitrage: traders in the U.S. who cannot access certain contracts on Kalshi may attempt to use offshore prediction markets instead.

Kalshi’s regulatory strategy has been explicitly focused on the U.S. market and on working within CFTC-defined boundaries rather than seeking workarounds. The platform has filed multiple requests for relief and contract approval, responded to regulatory feedback, and adjusted its offerings based on CFTC guidance. This approach is costly and slow—each contract category may require months or years of regulatory engagement—but it builds a legitimate and durable business under clear legal authority. By contrast, platforms that rely on offshore operations or regulatory ambiguity face periodic crackdowns, payment processor blocking, and users who may be subject to legal risk themselves.

The international comparison also illustrates that the U.S. approach to financial regulations on prediction markets is unusually restrictive. In other developed democracies, prediction markets on elections, policy outcomes, and other events are treated more like betting or information services, subject to gambling oversight but not prohibited. The U.S. emphasis on distinguishing between permitted and prohibited contract types—based partly on manipulability and partly on subjective judgments about whether the market serves a legitimate forecasting function—is more conservative and more fragmented than international norms.

Why contract availability changes and how traders should monitor regulatory shifts

Kalshi’s contract offerings have shifted several times in response to regulatory action or regulatory concern. For example, the platform has periodically removed or halted contracts on specific government policy decisions when facing CFTC inquiry, then reintroduced similar contracts after filing for formal relief or receiving regulatory guidance. These changes are sometimes announced in advance; other times they occur abruptly due to regulatory pressure. A trader holding an open position can face forced settlement or contract cancellation if financial regulations shift unexpectedly.

The mechanism of change is important to understand. The CFTC does not directly ban individual contracts on Kalshi. Instead, it can deny relief applications, issue interpretive guidance, or initiate enforcement proceedings. Those actions may result in the platform voluntarily adjusting its offerings, or they may escalate into formal legal disputes. Because the regulatory landscape is still evolving—the CFTC has not issued comprehensive final rules on prediction market contracts beyond certain categories—there is inherent uncertainty. A contract category that was approved two years ago might face renewed scrutiny if the CFTC changes its staff interpretation or if members of Congress push for stricter regulation.

Traders should monitor several regulatory signals. Official CFTC orders granting or denying relief applications are published on the agency’s website and clearly describe which contract types are approved and under what conditions. Regulatory guidance letters, interpretive releases, and comments in Federal Register notices provide signals about future regulatory direction. Changes in Congressional oversight—such as hearings on prediction markets or bills proposed to restrict them—often precede regulatory action. Finally, announcements from Kalshi or other platforms about contract suspensions or removals usually indicate underlying regulatory concern, even if not formally disclosed.

Contract settlement and market oversight under CFTC compliance requirements

A key component of financial regulations governing prediction markets is the requirement that contracts be settled objectively and verifiably. Kalshi’s specifications for each contract must clearly define the event, the settlement date, the data source, and any tie-breaking rules. For example, a contract on whether the federal funds rate will be raised at a specific FOMC meeting resolves based on the published FOMC statement—a document that exists independently of market trading and cannot be manipulated by market participants. This objectivity is the regulatory foundation that permits the contract to be approved.

However, objectivity is not always straightforward. Some events involve judgment calls or interpretation. A contract on whether legislation will “pass” Congress sounds clear until a bill is amended, substituted, or passes in a modified form. Kalshi’s market oversight procedures attempt to address this by clearly defining in advance which specific bill or legislative text the contract references, and by publishing predetermined settlement rules that specify how edge cases will be handled. Those procedures are designed to minimize disputes and to give market participants confidence that settlement will be fair and predictable.

The compliance infrastructure supporting settlement also matters. Kalshi must maintain records of all trades, positions, and settlement determinations. It must have surveillance systems to detect market manipulation, disruptive trading, or other violations. It must have compliance staff who review contract specifications before launch, monitor trading during the contract’s life, and oversee the settlement process. These operational costs are substantial, and they are passed through to users as lower liquidity and narrower contract offerings compared to unregulated platforms. The regulatory trade-off is real: more compliance means higher costs and fewer contract options, but it also means lower counterparty risk and higher confidence in settlement integrity.

Strategic implications for traders navigating regulatory constraint

A trader using Kalshi must incorporate regulatory risk into their trading strategy. First, certain contract categories are inherently less likely to expand or may face future restriction. Very detailed contracts on narrow outcomes, or contracts on events influenced by private decision-makers with no clear forecasting function, are riskier from a regulatory perspective. By contrast, contracts on major economic releases, broad political outcomes, and major market benchmarks are more stable because they have already received regulatory approval and are less likely to face sudden removal.

Second, traders should avoid building strategies that depend on contract availability over long periods without monitoring regulatory change. A hedging strategy that relies on a specific contract category should include contingency planning: what alternative contracts or external hedges are available if the primary contract is removed? A speculative position should account for the risk that the contract might be halted or canceled, potentially requiring forced settlement at an unfavorable price or date.

Third, understanding the regulatory boundary helps explain price dynamics. Contracts on more contentious topics—such as specific policy outcomes or technology milestones that have received regulatory scrutiny—may trade at wider bid-ask spreads and lower volume because market participants recognize regulatory risk. Those contracts may also show price movements in response to regulatory news rather than to new information about the underlying event. Sophisticated traders can sometimes profit from regulatory mispricing or by understanding that a contract’s price reflects both forecasting uncertainty and regulatory risk.

Fourth, traders seeking exposure to events outside Kalshi’s current regulatory footprint should be aware that offshore alternatives typically offer less protection and higher operational risk. Regulatory constraint is frustrating, but it exists because unregulated alternatives have repeatedly failed to protect users. The cost of regulatory compliance is high, but the cost of trusting an unregulated platform that subsequently becomes insolvent or disappears is often higher.

The future of prediction markets under evolving compliance frameworks

The regulatory landscape for prediction markets in the U.S. is unlikely to settle into complete clarity in the near term. Several factors point to continued evolution. First, Congress has periodically expressed interest in government policy decisions affecting how prediction markets are regulated, with some members supporting broader authorization and others advocating for tighter restrictions. Legislation could expand or restrict the categories of contracts that CFTC-regulated exchanges can offer, creating abrupt shifts in available contracts.

Second, the SEC has overlapping jurisdiction with the CFTC in cases where prediction market contracts might be deemed securities rather than commodity futures. A contract on a company’s stock price or market capitalization could potentially be classified as a security, bringing SEC oversight into play. That jurisdictional boundary has not been tested extensively, but it creates additional regulatory uncertainty. A contract approved by the CFTC might face SEC challenge, or a contract denied by the CFTC might be permissible under SEC frameworks.

Third, state-level regulation is emerging as an additional layer. Some states have proposed restrictions on prediction markets or have questioned whether they operate under valid gambling exemptions. If individual states impose restrictions, a platform like Kalshi might need to geofence certain contracts to users in specific states, further fragmenting contract availability and creating operational complexity. This possibility resembles the regulatory fragmentation in online gambling, where different states have adopted different rules, and national platforms must adapt accordingly.

Finally, the broader question of how prediction markets fit into financial regulation remains unresolved. The current framework treats them as a subset of futures markets, but that classification may not be permanent. If regulatory thinking shifts toward treating prediction markets as distinct instruments—perhaps subject to lighter regulation because they serve an information or forecasting function rather than a hedging function—then financial regulations could expand contract availability. Alternatively, if there is a high-profile instance of market manipulation or fraud, regulatory backlash could tighten restrictions severely.