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Tradeweb Partners with Kalshi to Bring Macro Prediction Markets to Institutions
Abstract:Tradeweb has partnered with Kalshi to integrate event-based prediction markets into institutional trading workflows, offering new tools to gauge risks surrounding Federal Reserve policies and economic releases.

Tradeweb Markets has entered a strategic partnership with Kalshi, aiming to embed prediction markets and event contracts into the core workflows of institutional investors. The deal, which includes a minority investment by Tradeweb, seeks to leverage the electronic trading giant's $2.6 trillion in average daily volume to mainstream event-driven trading.
Enhancing Macro Risk Analysis
The collaboration targets the growing demand for alternative signals in analyzing macroeconomic trends. Tradeweb CEO Billy Hult noted that prediction markets are evolving into a legitimate component of the market landscape, offering institutions new methods to assess macro risk and allocate capital effectively.
In the initial phase, Kalshi‘s real-time event probabilities will be integrated into Tradeweb’s rates and credit data feeds. This will allow traders to correlate event probabilities—such as the implied odds of a Federal Reserve interest rate hike or a specific election outcome—directly with traditional asset pricing.
Developing Institutional Event Contracts
Looking ahead, the partnership aims to build a dedicated portal for trading standardized event contracts tailored to institutional needs. These instruments will focus on high-impact market drivers, including:
- Central Bank Decisions: Pricing the probability of policy shifts.
- Macro Economic Data: Contracts linked to outcomes of NFP, CPI, or GDP releases.
- Geopolitical Events: Hedging tools for election cycles and policy changes.
By aligning these products with institutional standards for regulation and liquidity, the move represents a significant step in professionalizing binary options and event contracts as serious hedging instruments for global macro exposure.
Disclaimer:
The views in this article only represent the author's personal views, and do not constitute investment advice on this platform. This platform does not guarantee the accuracy, completeness and timeliness of the information in the article, and will not be liable for any loss caused by the use of or reliance on the information in the article.

