Kalshi Wants to Bring Margin Trading to Prediction Markets

Author ... Cheryle Shepstone
Cheryle Shepstone
Director of Content

Cheryle is Director of Content and Strategy at DeFi Rate. She oversees the prediction market research, platform reviews, and editorial methodology behind every guide—from primary source verification through final fact-ch...

Kalshi is asking the CFTC to let institutional traders use margin on selected event contracts, moving prediction markets another step closer to the mechanics of traditional derivatives trading. Sports, culture and “mention” contracts would remain fully collateralized, at least under the current proposal.

Kalshi wants to let institutions trade prediction markets with less upfront cash.

The company’s clearinghouse, Kalshi Klear, has filed with the Commodity Futures Trading Commission for approval to introduce risk-based margining on eligible event contracts. CNBC first reported the application Tuesday.

The proposal would replace the current fully collateralized model for certain markets. It would allow qualified participants to post collateral based on expected short-term risk rather than their maximum possible loss.

It is a push to make prediction markets look more like the derivatives markets Kalshi has argued they belong beside.

Not margin for everyone

Kalshi wants risk-based collateral rules for a restricted group of institutions.

Today, regulated U.S. event contract positions are fully collateralized. If a trader can lose $1,000, the trader generally must post $1,000. Under Kalshi’s proposal, eligible contracts could require less initial collateral if Kalshi Klear’s model determines the position can be safely closed within a one-day market move for less than the full maximum loss.

Access would not be available broadly across Kalshi’s retail app. It would limit margined positions to:

  • Futures commission merchants.
  • Eligible contract participants accepted as Kalshi Klear self-clearing members.
  • Firms with direct clearing relationships and specified capital qualifications.

Kalshi also would not necessarily be lending cash directly to traders. Margin in this context is primarily about how much collateral the clearinghouse demands to support a position. The economic result can be leveraged exposure, but the proposal is structurally about clearing and risk management.

Sports stays fully funded

The company says it will not offer margin on sports-event contracts, cultural markets or “mention” markets. Those positions would remain fully collateralized.

Sports products are driving the prediction markets industry’s fastest growth. Still, they are also at the center of the legal fight over whether Kalshi is offering federally regulated derivatives or unlicensed sports betting. States, tribes, traditional gaming companies and major sports leagues have all challenged the category in different ways.

By excluding sports, Kalshi can frame the margin proposal around long-dated economic, financial, commercial and political markets, contracts where institutions may have a clearer argument for hedging or information-based trading, and where the comparison to conventional derivatives is easier to make.

How the model would work

Kalshi’s proposal would calculate initial collateral using expected one-day price risk. The company says the model would exceed the CFTC’s 99% confidence standard for projected losses, while never requiring more than the maximum possible loss on a position.

The basic idea applies conventional derivatives logic to event contracts. A long-dated contract on an economic or political outcome may not require a trader to lock up its full maximum payout for months or years if the clearinghouse believes it can manage the chance of a sudden, uncloseable loss.

For institutional traders, that capital efficiency is often the difference between experimenting with a new venue and ignoring it.

The institutional play

Kalshi has spent the past year proving that retail users will trade event contracts, especially on sports. Now it is trying to prove that prediction markets can attract the participants who provide deeper liquidity, tighter pricing and larger order sizes.

Margin is central to that effort.

A hedge fund or proprietary trading firm accustomed to equities, futures and options may be reluctant to fully fund every long-dated event-contract position at its maximum possible loss. Kalshi argues that lower, risk-based collateral would make those markets more economically viable for institutional participants.

The company’s proposal targets longer-dated markets with expiration dates far in the future. That could include contracts on economic data, monetary policy, business outcomes, elections and other events that resolve months or years from now.

Polymarket is pursuing a similar institutional path. Bloomberg reported in July that the company had taken steps to obtain regulatory licenses that could eventually support margin trading for its U.S. event-contract business.

The race is no longer just about which platform can attract the most retail traders on Sunday football. It is increasingly about which exchange can build the clearing, leverage, data and institutional access that make prediction markets behave like a durable part of the financial system.

The next decision belongs to the CFTC

Kalshi cannot offer the new margin framework yet.

The rule changes remain subject to CFTC review and cannot take effect before the first business day following the agency’s 45-day review period, unless the CFTC and Kalshi agree to a later date.

The filing’s risk-model inputs are redacted, making it impossible to know exactly how much capital relief the company plans to provide or which individual markets would qualify first.

If approved, the proposal would be a meaningful structural milestone. It would give eligible institutions a way to put on larger or longer-dated prediction market positions without tying up the full maximum loss in cash.

About The Author
Author Cheryle Shepstone
Cheryle Shepstone
Cheryle is Director of Content and Strategy at DeFi Rate. She oversees the prediction market research, platform reviews, and editorial methodology behind every guide—from primary source verification through final fact-check. Before DeFi Rate, she led content and growth strategy at Catena Media, where she helped shape content and revenue strategy for regulated and financial markets. She has 20 years of experience in research and marketing strategy