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Home»Exchanges»BitMEX Integrates Pyth Pro as It Brings US Equities and RWA Perps Online
Exchanges

BitMEX Integrates Pyth Pro as It Brings US Equities and RWA Perps Online

NBTCBy NBTC24/01/2026No Comments3 Mins Read
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BitMEX, long known as one of the original crypto derivatives venues, has taken a clear step beyond purely crypto markets with the launch of Equity Perps, perpetual contracts that let traders speculate on U.S. stocks and indices around the clock using crypto collateral. The new product aims to deliver continuous exposure to tradable equities, giving users 24/7 access to markets that were previously bound by U.S. exchange hours.

Behind the move is a practical problem: equity and real-world-asset perpetuals require a level of market data that legacy providers weren’t built to supply for always-on, global trading. Perpetual contracts depend on reliable reference prices during extended and overnight sessions, precise mark prices for funding and liquidations, and feeds that reflect where real liquidity sits, not stale or thin venues. That reality is what pushed BitMEX to look for an institutional, low-latency data partner as it rolled out these new markets.

Pyth Pro Named Price Provider

To power those pricing needs, BitMEX has integrated Pyth Pro, Pyth Network’s enterprise offering that delivers real-time price data directly from market makers, exchanges and top trading firms. The partnership gives BitMEX access to a single, modern data stack that is already built for multi-asset use, from equities and FX to commodities and crypto, and is designed to scale as exchanges add new products.

Pyth Pro’s pitch is straightforward: bring institutional-grade, millisecond-resolution prices from first-party publishers into venues that need always-on pricing. For exchanges like BitMEX that plan to run extended-hours or 24/5 equity markets, that capability matters because it reduces the need to stitch together multiple vendors or to rely on delayed consolidated feeds. Pyth’s enterprise docs and product pages show the service is built around that single-subscription, multi-class approach.

A key ingredient enabling Pyth’s U.S. equity coverage is its collaboration with Blue Ocean Technologies, which operates overnight U.S. equity trading sessions and helps deliver 24/5 equity liquidity. That relationship lets Pyth offer continuous U.S. equity pricing outside regular market hours, a capability BitMEX cites as central to keeping its perpetuals priced accurately when the U.S. cash market is closed.

BitMEX’s move reflects a broader trend: centralized crypto exchanges are rapidly becoming big consumers of real-time equity data as they try to give traders the always-on, high-performance experience common in crypto markets. By adopting a modern market-data stack up front, BitMEX is betting it can avoid the kludgy integrations that have long dogged traditional venues trying to expand into new asset classes. With Pyth Pro as the price layer, the exchange says it can launch equity and RWA perpetuals without rebuilding core pricing systems for each new product.

For market participants, the practical takeaway is simple: if perpetual markets on centralized exchanges are going to track real-world assets reliably through nights and weekends, they’ll need real-time, low-latency feeds that reflect genuine liquidity. BitMEX’s partnership with Pyth Pro is a concrete example of how one exchange is trying to solve that problem as it opens its order books to stocks and other real-world assets.

As these hybrid markets evolve, the industry will be watching whether always-on derivatives trading on crypto rails can match the price integrity and risk controls traders expect from traditional venues, and whether modern price-feed providers like Pyth Pro become the standard plumbing for that future.

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NBTC is the editorial account for NBTC News, covering Bitcoin, Ethereum, DeFi, blockchain infrastructure, exchanges, mining, regulation and digital asset markets. The editorial team focuses on clear sourcing, timely updates and practical context for crypto readers.

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