Kalshi Institutional Volume Up 50-Fold Since March to $29.3 Billion

Kalshi's institutional volume has surged more than 50-fold since March to $29.3 billion so far in October, according to Andy Ross, Head of Institutional at the prediction market operator. Ross told a Kalshi media event in New York on Wednesday that 822 institutions traded on the venue in October, up from 130 in January, and that 242 institutions have each traded more than $1 million.

"I don't feel this is the top of the hockey stick, I feel we're at the bottom, with parabolic growth still to come," Ross said.

The participant base now includes hedge funds and electronic liquidity providers (market-making firms that provide continuous quotes) such as Jump Trading, alongside traditional investment managers, executives said.

What does this change for institutional desks?

The growth figure comes with a caveat: prediction markets remain small in absolute terms. The New York Stock Exchange handles nearly $1 trillion in equity trades per month, an order of magnitude above Kalshi's October institutional volume. Executives positioned the numbers as an institutional adoption story rather than a challenge to established asset classes.

Nicole Kagan, Markets & Head of Research at Kalshi, framed the venue's utility in two functions: price discovery in areas that lack it, and specific risk hedging under a "market as a service" model. She also detailed a new product structure offering ladder payouts based on the proximity of a participant's prediction — a departure from the traditional binary payout, where a contract pays either full or nothing.

Trust before liquidity

Large financial institutions are historically risk-averse toward new markets, particularly ones some perceive as closer to gambling than investing. Sudhir Jain, Chief Compliance Officer and Head of Regulatory Affairs at Kalshi, said the firm's institutional growth is a direct result of building trust before any discussion of liquidity or products.

Jain contrasted the onboarding paths: institutional clients require months of mutual due diligence, while retail clients can onboard in minutes on a mobile phone.

Kalshi's market integrity safeguards, as listed by Jain, include:

• mandatory AML/KYC (anti-money-laundering and know-your-customer checks)
• restriction of certain market participants
• employee trading bans
• 24/7 surveillance
• disciplinary enforcement

Jain summarized the core conflict-of-interest rule: "if you have an edge and you can influence the price, you're not allowed to trade."

Risk architecture under CFTC oversight

Chief Risk Officer Udesh Jha said risk management matters for prediction markets and perpetual futures (cash-settled derivative contracts without an expiry date), and pointed to myriad offshore venues operating with limited risk controls as the alternative.

Kalshi's safeguards, per Jha, comprise:

• pre-trade risk checks
• a clearing house (a central counterparty that backstops trades)
• a margin risk model
• CFTC (Commodity Futures Trading Commission) oversight

"We cannot compromise on risk," Jha said.

The volume trajectory and the pipeline of ladder-payout structures indicate Kalshi's next test: converting the 50-fold increase into sustained institutional flow against the sector-wide consensus that prediction markets must move beyond their retail roots to keep growing.