Tradeweb Integrates Kalshi Data Into Institutional Trading Workflows

Friday, 26/06/2026 | 16:30 GMT by Tanya Chepkova
  • Tradeweb has launched the first data-focused phase of its Kalshi partnership, bringing real-time event probabilities into institutional trading workflows.
  • The rollout comes as Kalshi expands its institutional push, from compliance integrations to reported funding talks at a $40 billion valuation.
Prediction markets. Source: Shutterstock
Prediction markets. Source: Shutterstock

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’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’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.

About the Author: Tanya Chepkova
Tanya Chepkova
  • 256 Articles
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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