S&P to Turn Kalshi Probabilities into Indices under Benchmark Deal

Monday, 26/10/2026 | 18:57 GMT by Tanya Chepkova
  • S&P DJI could build indices from Kalshi market data, while Kalshi could settle new contracts against official S&P DJI index values.
  • Similar products exist separately at ICE and Cboe, but the partners have not named their first products or set launch dates.
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S&P Dow Jones Indices (S&P DJI) and Kalshi have signed a two-way agreement that could turn prediction market prices into a new category of traditional financial indices.

Prices generated by its traders could move beyond the platform and become the raw material for S&P DJI products covering economic, political and sporting events, while Kalshi will be able to use official S&P DJI values to settle future event contracts linked to established benchmarks.

A Two-Way Data and Licensing Agreement

The partnership has two distinct parts. First, S&P DJI could use prices from Kalshi markets to create new indices. Kalshi would supply the market data, and S&P DJI would apply its index methodology to turn that data into a measure of market expectations.

The second part runs in the other direction. Kalshi could offer event contracts linked to existing S&P DJI indices. Customers would trade the contracts on Kalshi, while official S&P DJI index values would determine how they settle. S&P DJI would provide the reference value, but would not sponsor, sell or endorse the contracts.

In other words, either S&P DJI creates an index based on Kalshi data, or the other way round - Kalshi makes a contract based on S&P DJI data.

Catherine Clay, CEO of S&P Dow Jones Indices. Source: LinkedIn
Catherine Clay, CEO of S&P Dow Jones Indices. Source: LinkedIn

The companies have not said which indices or contracts they will develop first, or when either product might launch.

"Robust indices help to define markets: what they are, how to measure them and rules for monitoring their evolution. With benchmarks spanning every major asset class, S&P DJI's breadth, independence, and trust make us the index provider of choice as prediction markets mature," said Cathy Clay, CEO of S&P Dow Jones Indices.

Prediction Markets Become a Financial Data Product

The two sides of the S&P DJI–Kalshi agreement have precedents, though usually in separate products. Market-data providers have begun packaging prediction-market prices for professional clients, while exchanges already offer binary contracts linked to stock indices.

Intercontinental Exchange partnered with Polymarket to turn prediction-market prices into data for professional investors. Its Polymarket Signals and Sentiment service distributes normalised probability feeds.

S&P DJI could take a different approach by using Kalshi prices to calculate indices. The flow of data in the other direction also has a precedent.

In June, Cboe launched yes-or-no options linked to its Mini-S&P 500 Index, letting customers trade contracts whose outcomes depend on an established index value.

Kalshi plans a similar use for S&P DJI benchmarks, although its first contracts and their terms have yet to be announced.

The companies described each other as “preferred” providers, rather than announcing an exclusive arrangement. They have not identified the first indices or Kalshi contracts, disclosed their methodologies or given launch dates.

Publication of those details will determine how far the collaboration moves beyond a framework agreement.

S&P Dow Jones Indices (S&P DJI) and Kalshi have signed a two-way agreement that could turn prediction market prices into a new category of traditional financial indices.

Prices generated by its traders could move beyond the platform and become the raw material for S&P DJI products covering economic, political and sporting events, while Kalshi will be able to use official S&P DJI values to settle future event contracts linked to established benchmarks.

A Two-Way Data and Licensing Agreement

The partnership has two distinct parts. First, S&P DJI could use prices from Kalshi markets to create new indices. Kalshi would supply the market data, and S&P DJI would apply its index methodology to turn that data into a measure of market expectations.

The second part runs in the other direction. Kalshi could offer event contracts linked to existing S&P DJI indices. Customers would trade the contracts on Kalshi, while official S&P DJI index values would determine how they settle. S&P DJI would provide the reference value, but would not sponsor, sell or endorse the contracts.

In other words, either S&P DJI creates an index based on Kalshi data, or the other way round - Kalshi makes a contract based on S&P DJI data.

Catherine Clay, CEO of S&P Dow Jones Indices. Source: LinkedIn
Catherine Clay, CEO of S&P Dow Jones Indices. Source: LinkedIn

The companies have not said which indices or contracts they will develop first, or when either product might launch.

"Robust indices help to define markets: what they are, how to measure them and rules for monitoring their evolution. With benchmarks spanning every major asset class, S&P DJI's breadth, independence, and trust make us the index provider of choice as prediction markets mature," said Cathy Clay, CEO of S&P Dow Jones Indices.

Prediction Markets Become a Financial Data Product

The two sides of the S&P DJI–Kalshi agreement have precedents, though usually in separate products. Market-data providers have begun packaging prediction-market prices for professional clients, while exchanges already offer binary contracts linked to stock indices.

Intercontinental Exchange partnered with Polymarket to turn prediction-market prices into data for professional investors. Its Polymarket Signals and Sentiment service distributes normalised probability feeds.

S&P DJI could take a different approach by using Kalshi prices to calculate indices. The flow of data in the other direction also has a precedent.

In June, Cboe launched yes-or-no options linked to its Mini-S&P 500 Index, letting customers trade contracts whose outcomes depend on an established index value.

Kalshi plans a similar use for S&P DJI benchmarks, although its first contracts and their terms have yet to be announced.

The companies described each other as “preferred” providers, rather than announcing an exclusive arrangement. They have not identified the first indices or Kalshi contracts, disclosed their methodologies or given launch dates.

Publication of those details will determine how far the collaboration moves beyond a framework agreement.

About the Author: Tanya Chepkova
Tanya Chepkova
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About the Author: Tanya Chepkova
Tanya Chepkova is a News Editor at Finance Magnates with more than 16 years of experience in financial journalism, covering forex, crypto, and digital asset markets. Her work spans daily industry reporting and data-driven, long-form explainers focused on market structure, trading models, and regulatory shifts. Before joining Finance Magnates, she led the editorial team of a cryptocurrency-focused media outlet for six years. Her reporting combines analytical depth with clear storytelling, with particular attention to how structural changes in trading, stablecoin infrastructure, and emerging products such as prediction markets reshape the broader financial ecosystem. She covers global developments and provides additional insight into CIS markets. Areas of Coverage: Crypto and digital asset markets Prediction markets Stablecoins and cross-border payments Industry analysis and long-form explainers
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