TradeHandle TradeHandle

Kalshi’s Legal Framework: How a Regulated Prediction Market Operates in the United States

Prediction markets have historically existed in a regulatory gray area in the United States, often operating offshore or in loosely defined legal environments. Kalshi has taken a markedly different approach. By securing approval from the Commodity Futures Trading Commission (CFTC), the company established the first federally regulated prediction market exchange in the country, creating a legal structure designed to align event-based contracts with existing financial market regulations.

Caleb Tallman
Caleb Tallman Editor in chief
03/15/2026

Kalshi’s regulatory strategy centers on framing prediction market contracts as financial derivatives tied to real-world events. Rather than operating as a betting platform, Kalshi positions itself as an exchange that lists event contracts—financial instruments whose outcomes are determined by measurable external events such as economic indicators, policy decisions, or weather conditions. These contracts trade in a similar way to other derivatives markets, with participants buying or selling positions based on their expectations of future outcomes.

“The central legal distinction is that Kalshi markets contracts on objectively verifiable events, rather than offering wagers on uncertain outcomes.”

Kal Kalshi, General Counsel

This positioning enabled Kalshi to obtain designation as a Designated Contract Market (DCM) under the oversight of the CFTC. The approval process required the company to demonstrate that its contracts met strict standards regarding market integrity, transparency, and manipulation prevention. The exchange must also provide clear rules for settlement and ensure that listed events have unambiguous resolution criteria.

Kalshi’s regulatory status places it within the same general framework that governs futures exchanges, although its contracts differ in structure. Instead of representing exposure to commodities or financial indexes, event contracts pay out based on binary outcomes. A contract may resolve at $1 if an event occurs or $0 if it does not. Traders purchase positions somewhere between those values, effectively expressing a probability estimate through price.

For regulators, the key question has been whether these markets serve a legitimate economic function. Kalshi argues that prediction markets provide valuable forecasting signals by aggregating information from a wide range of participants. Prices can reflect collective expectations about events such as inflation releases, unemployment figures, or regulatory decisions. In theory, this information may complement traditional forecasting tools used by businesses, policymakers, and researchers.

However, the regulatory environment remains contentious. Some proposed contracts have faced scrutiny from regulators concerned about the potential social implications of certain markets. In particular, political event contracts have attracted attention due to concerns about election integrity and public perception. Regulators have at times debated whether such markets resemble financial instruments or forms of political wagering.

“Prediction markets sit at the intersection of finance, forecasting, and public policy, which makes regulatory classification particularly complex.”

Prof. Something, Stanford

Legal disputes have occasionally emerged over these boundaries. Challenges often revolve around whether particular event contracts satisfy the CFTC’s public interest standard and whether they could incentivize undesirable behavior. As the industry develops, these debates are likely to shape how broadly event contracts can expand into new categories.

Despite these uncertainties, Kalshi’s regulatory approval represents a significant milestone for the prediction market sector. By operating within an established federal regulatory framework, the exchange provides a legal pathway for event-based markets in the United States—something that had long been considered difficult to achieve.

The broader impact of this framework may extend beyond Kalshi itself. As prediction markets gain attention from investors, policymakers, and technology platforms, the question of how they fit into financial regulation will become increasingly important. Kalshi’s model demonstrates one possible approach: integrating forecasting markets into the existing derivatives regulatory structure rather than treating them purely as gambling platforms.

Whether that model becomes the dominant framework for prediction markets remains uncertain, but its existence has already reshaped the conversation about how such markets can operate legally within the United States.