Tradeweb Markets, which is also a minority investor in Kalshi, has launched a dedicated prediction market data suite on its platform, integrating real-time event probabilities from Kalshi alongside traditional fixed-income, credit, and equity market data.
The launch expands Tradeweb’s market data offering and gives institutional clients access to prediction market probabilities within the same workflows they already use for pricing and execution.
Today we announced the launch of a dedicated @Kalshi pricing page on the Tradeweb platform, giving U.S. institutional clients access to key event contract data alongside the existing tools and information they use to analyze markets and manage risk. The pricing page will also… pic.twitter.com/g69Rei67pr
— Tradeweb (@Tradeweb) June 24, 2026
Today’s launch represents the first operational phase of the partnership announced earlier this year, with Tradeweb initially integrating Kalshi’s market data into its existing institutional workflows.
Tradeweb and Kalshi have also said they plan to develop analytics combining event probabilities with pricing, liquidity, and macroeconomic data, extending the integration beyond a standalone market data feed.
From Market Signals to Event Probabilities
Institutional investors have traditionally relied on instruments such as inflation swaps or interest rate futures to infer market expectations.
The Tradeweb-Kalshi integration allows clients to monitor market-implied probabilities for specific political, economic, and financial events directly within the platform.
Andy Ross, Source: LinkedIn
“Investors want to trade on real events, not proxies,” said Andy Ross, Head of Institutional at Kalshi. “Integrating prediction market data into one of the world’s leading institutional platforms is an important step toward more accurately pricing the future.”
Tradeweb will also add support for Kalshi’s American Power Index, which combines market-implied probabilities across the US presidency, House, and Senate into a single indicator of political and policy risk.
The index is designed to give institutional users a consolidated view of political developments that can influence rates, credit, and equity markets.
What It Means for Brokers
For Tradeweb clients, the practical benefit is workflow integration. Prediction market data can now be monitored alongside other market signals without leaving the platform.
“Our clients want access to that signal within the workflows they already use,” said Troy Dixon, Co-head of Global Markets at Tradeweb.
The integration also reflects a broader trend of financial market infrastructure providers adding prediction market data alongside traditional market information.
The rollout also comes as Kalshi continues to attract institutional backing. The company is reportedly in talks to raise fresh funding at a valuation of around $40 billion, less than two months after completing a $1 billion round at a $22 billion valuation.
For brokers and trading platforms, the question increasingly becomes whether prediction market probabilities should be treated as another market data feed available within existing trading workflows.
Tradeweb Markets, which is also a minority investor in Kalshi, has launched a dedicated prediction market data suite on its platform, integrating real-time event probabilities from Kalshi alongside traditional fixed-income, credit, and equity market data.
The launch expands Tradeweb’s market data offering and gives institutional clients access to prediction market probabilities within the same workflows they already use for pricing and execution.
Today we announced the launch of a dedicated @Kalshi pricing page on the Tradeweb platform, giving U.S. institutional clients access to key event contract data alongside the existing tools and information they use to analyze markets and manage risk. The pricing page will also… pic.twitter.com/g69Rei67pr
— Tradeweb (@Tradeweb) June 24, 2026
Today’s launch represents the first operational phase of the partnership announced earlier this year, with Tradeweb initially integrating Kalshi’s market data into its existing institutional workflows.
Tradeweb and Kalshi have also said they plan to develop analytics combining event probabilities with pricing, liquidity, and macroeconomic data, extending the integration beyond a standalone market data feed.
From Market Signals to Event Probabilities
Institutional investors have traditionally relied on instruments such as inflation swaps or interest rate futures to infer market expectations.
The Tradeweb-Kalshi integration allows clients to monitor market-implied probabilities for specific political, economic, and financial events directly within the platform.
Andy Ross, Source: LinkedIn
“Investors want to trade on real events, not proxies,” said Andy Ross, Head of Institutional at Kalshi. “Integrating prediction market data into one of the world’s leading institutional platforms is an important step toward more accurately pricing the future.”
Tradeweb will also add support for Kalshi’s American Power Index, which combines market-implied probabilities across the US presidency, House, and Senate into a single indicator of political and policy risk.
The index is designed to give institutional users a consolidated view of political developments that can influence rates, credit, and equity markets.
What It Means for Brokers
For Tradeweb clients, the practical benefit is workflow integration. Prediction market data can now be monitored alongside other market signals without leaving the platform.
“Our clients want access to that signal within the workflows they already use,” said Troy Dixon, Co-head of Global Markets at Tradeweb.
The integration also reflects a broader trend of financial market infrastructure providers adding prediction market data alongside traditional market information.
The rollout also comes as Kalshi continues to attract institutional backing. The company is reportedly in talks to raise fresh funding at a valuation of around $40 billion, less than two months after completing a $1 billion round at a $22 billion valuation.
For brokers and trading platforms, the question increasingly becomes whether prediction market probabilities should be treated as another market data feed available within existing trading workflows.
