Polymarket Taps Pyth to Power its Traditional Asset Markets

Polymarket relies on Pyth Pro to power real-time pricing across gold, silver, equities, and indices. Here's how it works and why data quality is everything.

Announcements

Apr 2, 2026

Polymarket Taps Pyth Pro to Power its Traditional Asset Markets
Polymarket Taps Pyth Pro to Power its Traditional Asset Markets

Polymarket, the world's largest prediction market platform, has integrated Pyth Pro as its data source for a new suite of traditional asset contracts. Starting with gold, silver, and major equity index ETFs, Polymarket relies on Pyth Pro data for daily up/down and daily close markets, with live price charts updated every second for full transparency.

Why Data Quality Matters

Every prediction market depends on reliable pricing. For markets involving millions of dollars in positions, the stakes around data quality are significant. Inaccurate or manipulable price data doesn't just create bad user experiences; it erodes trust in the entire platform.

This is why Polymarket selected Pyth Pro.

Pyth's data is contributed directly by the world's leading trading firms, exchanges, market makers, and banks that actively set prices across global markets. Pyth Pro draws from the highest-quality publishers in the network, including Jump Trading, Blue Ocean, LMAX, Cboe, and Jane Street. Pyth data has secured over $2.7 trillion in transaction volume, spanning onchain protocols and offchain institutions.

How The Integration Works

Pyth Pro delivers real-time price data via WebSocket. Polymarket samples this data every second and publishes it as a live chart, the "price to beat," giving traders continuous visibility into where the market stands relative to their position.

Pyth data powers these markets from open to close. Gold up or down this hour? Silver above or below a target? Traders track it live through Pyth-powered charts.

For traders who want to explore the underlying data directly, the feeds powering these markets are live on Pyth Terminal.

Traditional Assets, Institutional-Grade Data

The assets Polymarket has chosen to power with Pyth span the full breadth of traditional finance: major equity indices, commodities like gold, silver, WTI crude, and natural gas, and over a dozen single-name US equities ranging from mega-cap tech to high-volatility names like TSLA, COIN, and PLTR. None of these are crypto. They are traditional asset classes historically priced by legacy data vendors charging hundreds of thousands per month for fragmented, repackaged feeds.

“Millions of dollars can hinge on a single price point, and that demands absolute confidence in the source of truth. Pyth delivers that assurance, enabling Polymarket to expand into high-stakes financial markets. This is just the beginning of our partnership with Pyth.” - @Mustafa Aljadery, Product Lead at Polymarket

Pyth Pro offers a different model: first-party data from the firms that actively trade these assets, delivered through a single integration at a fraction of legacy costs. For Polymarket, this means access to institutional-grade precious metals and equity data without the overhead of traditional market data contracts.

What This Means for Pyth

Polymarket is one of the highest-traffic platforms globally, with millions of users and significant daily volume. Every user watching a live Pyth-powered price chart is seeing the network's data quality in action, across traditional asset classes, with real money on the line.

This integration demonstrates Pyth's cross-asset coverage and data quality hold up where it matters: powering real-time pricing on one of the most visible platforms in the space.

Equity indices, commodities, and single-name US equities are the first traditional asset classes live on Polymarket with Pyth Pro. Additional assets and market types are expected to follow.

The Price is Live. Check it.

The Polymarket markets are live now. So is Pyth Terminal, a new interface where anyone can explore Pyth's full library of price feeds, verify data quality firsthand, and access a free trial of Pyth Pro here.

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