ICE launches Polymarket Signals feed for institutional market data users

Intercontinental Exchange (ICE) is turning prediction-market prices into something institutions can plug into their existing market-data stacks.

In a Feb. 11 announcement, ICE said it has launched Polymarket Signals and Sentiment, a new data product that normalizes and structures Polymarket prediction-market data for professional and institutional investors — and that ICE will be the exclusive provider of this dataset for institutional capital markets.

The concept is simple: Polymarket markets produce implied probabilities on real-world outcomes — often tied to economic, political, and other event risk — but the raw data isn’t formatted the way most trading desks consume inputs. ICE says it’s taking those crowd-sourced probabilities, cleaning them up, and delivering them in a format designed to sit alongside more traditional signals like pricing, fundamentals, and sentiment.

Distribution is the key part. ICE says the service is delivered through its existing data infrastructure, with near real-time access via the ICE Consolidated Feed and historical time-series data via ICE Consolidated History, making it usable for backtesting and quant research workflows.

ICE also says it’s mapping Polymarket signals to the things institutions actually trade. The release highlights the use of ICE’s entity identification and reference databases to link prediction-market signals to specific securities or companies, so clients can integrate the data with other ICE offerings like securities pricing, fundamental data, and corporate actions.

The launch also slots into a broader ICE push: the company says Polymarket now joins Reddit and Dow Jones as sources inside ICE’s Signals & Sentiment service — essentially bundling non-traditional “crowd” and media-driven indicators into an institutional-grade wrapper.

Why it matters for crypto

• Prediction markets are being packaged as mainstream market data. ICE is not pitching this as a crypto toy — it’s selling it as an institutional signal stream that can sit inside professional workflows.
• It’s another step in the “DeFi-to-desk” data pipeline. Crypto-native venues generate real-time probability signals, and legacy market infrastructure providers are now distributing them at scale.
• Exclusive distribution is a power move. If institutional desks adopt the feed, ICE becomes a gatekeeper for one of the most visible prediction-market datasets.
• This could reshape how event risk is quantified. Implied probabilities on outcomes that aren’t easily tradable through standard instruments can still influence positioning — if desks can consume the data cleanly.

What to watch next

• Coverage and mapping depth. How broadly Polymarket markets get mapped to tradable entities (and how clean that mapping is) will determine usefulness for quant workflows.
• Adoption signals from buy-side and trading firms. The real tell will be whether desks treat this as a “nice-to-have dashboard” or a model input.
• Expansion of Signals & Sentiment sources. ICE has positioned this as a growing product line; more alternative datasets could follow.
• How Polymarket’s own market structure evolves. If prediction markets are increasingly used as institutional signals, liquidity, market integrity tooling, and event taxonomy become higher-stakes topics.

Source: Intercontinental Exchange