Prediction-market data is moving from the fringe to the core of institutional workflows as providers begin to package it as “signals and sentiment” infrastructure for trading and risk.

Intercontinental Exchange (ICE), the owner of the New York Stock Exchange, has launched the Polymarket Signals and Sentiment tool to provide normalized prediction market data and analytics Analytics Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision-making. In the trading space, analytics are applied in a predictive manner in an attempt to forecast the price more accurately. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analy Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision-making. In the trading space, analytics are applied in a predictive manner in an attempt to forecast the price more accurately. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analy Read this Term to professional and institutional investors.

ICE will act as the exclusive provider of Polymarket data for institutional capital markets under the new service. Polymarket operates one of the largest prediction markets, including markets that relate to financial and commodity markets.

NEW: Intercontinental Exchange launches a @Polymarket Signals & Sentiment tool that turns prediction market bets into structured data for institutions, helping them track market-moving events through crowd sentiment. pic.twitter.com/0OKh3ILzB2

— SolanaFloor (@SolanaFloor) February 11, 2026

ICE to Exclusively Distribute Polymarket Data

ICE now offers data feeds that represent Polymarket’s implied probabilities on real-world outcomes, designed to serve as market signals that complement traditional market, pricing, and sentiment inputs.

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“As prediction markets mature, their value to institutional investors becomes clearer,” commented Shayne Coplan, Founder and CEO of Polymarket.

“These markets reflect collective expectations on market-moving events in near real time and have quickly emerged as a credible input alongside traditional data sources. Working with ICE helps ensure that those signals can be accessed, interpreted, and applied in a way that can be used as a resource for institutional market participants.”

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He added that ICE uses AI and data science to normalize the data so customers can apply it in alpha generation and risk management strategies.

Integrated into ICE Signals & Sentiment Suite

The Polymarket Signals and Sentiment service aggregates and normalizes data and delivers it in a format aligned with how institutional customers access markets and trade.

On their own, prediction-market prices are messy: different formats, tickers, and market structures. The new “signals and sentiment” model cleans and standardizes this data. Providers aggregate the markets, normalize the probabilities, and deliver them through the same feeds that already carry prices, reference data, and news.

That puts prediction-market odds on the same screen as sentiment scores from news and social media. A trading desk can see how crowd expectations, headlines, and online discussion all move around a key event.

Last year, Coplan announced that ICE has made a $2 billion investment in Polymarket, valuing the prediction-market platform at $9 billion. Under the partnership, ICE began distributing Polymarket’s data to financial institutions worldwide, integrating crowd-based probabilities into trading and risk workflows.