Pyth

**Indigo Protocol has published details on their Pyth Pro integration for Cardano's V3 upgrade.** The synthetic asset platform explains how pull-based oracle architecture enables faster and more scalable DeFi infrastructure. Pyth Pro now powers Indigo's iAssets and the upcoming Indigo Limitless forex suite. **Key points:** - Pull-based oracles provide faster price updates for synthetic assets - Integration supports Indigo's V3 upgrade and forex expansion - Pyth Pro brings institutional-grade pricing data to Cardano DeFi The integration marks Pyth Pro's first deployment on Cardano, with more protocols expected to follow.

**Real-world asset perpetuals hit $525B in Q1 2026 volume**, with Pyth-powered markets accounting for $173B—nearly one-third of total RWA perp activity across centralized and decentralized exchanges. **Major exchanges including Coinbase, Binance, BitMEX, and Bitget** are using Pyth Pro as core price infrastructure for trading synthetic exposure to gold, oil, equities like NVDA and TSLA, and ETFs as perpetual contracts. **The infrastructure challenge**: RWA perps require real-time price feeds for mark prices, funding rates, liquidations, and collateral valuation. Traditional approaches meant separate vendors and integrations for each asset class. **BitMEX's solution**: Consolidated equities, commodities, and FX perpetuals through Pyth Pro X—one API, unified formatting, consistent infrastructure across all markets. No separate pricing pipelines or vendor negotiations needed. As crypto venues expand into traditional finance markets, programmable cross-asset pricing infrastructure is becoming the differentiator for 24/7 global trading.

The oracle market is evolving beyond its commodity-focused origins. While commodities dominated the initial wave, **stocks and ETF perpetuals are now capturing increasing market share**. This expansion creates a critical infrastructure need: **a unified price layer capable of supporting multiple asset classes simultaneously**. The shift reflects growing demand for diverse on-chain financial instruments beyond traditional commodity derivatives. The trend follows earlier moves into tokenized commodities like silver, copper, platinum, and palladium, which launched on major exchanges earlier this year.

Institutions are gaining new options for distributing and consuming market data through blockchain infrastructure. **Pyth Network** is positioning itself as a connection point between traditional financial systems and programmable markets. According to WatersTech, exchanges, trading firms, and data providers are combining elements from both traditional finance (TradFi) and decentralized finance (DeFi). The **Pyth Data Marketplace** offers institutions a direct distribution channel into programmable markets while maintaining control over attribution, access, and pricing. - Launch partners include **Tradeweb** and **Euronext FX** - Douro Labs CEO notes exchanges are evaluating whether to build, buy, or partner to prepare for blockchain adoption - The approach differs from previous blockchain waves by offering institutions more flexibility in data distribution The development represents a shift in how market data infrastructure is being reimagined for digital-first environments. Read the full WatersTechnology feature: [Exchanges borrowing benefits from DeFi and TradFi](https://www.waterstechnology.com/emerging-technologies/7953079/defi-and-tradfi-firms-are-borrowing-each-others-benefits)

Launching traditional finance perpetuals on-chain is proving more complex than anticipated. Each asset class—equities, FX, and commodities—operates in isolated data ecosystems with distinct requirements: - **Separate pricing vendors** for each market - **Different redistribution agreements** per asset type - **Fragmented infrastructure stacks** that don't communicate BitMEX, an early crypto derivatives exchange, is now expanding into equities, commodities, and FX perpetuals. The challenge: these real-world asset (RWA) derivatives require integrating systems that have historically never needed to work together. This operational fragmentation creates significant drag in markets designed to trade continuously, 24/7—a core promise of crypto infrastructure.

A pricing glitch at Revolut triggered false Bitcoin flash crash alerts, demonstrating how a single erroneous data point can rapidly distort market perception. **Key Takeaway:** - The incident underscores the critical importance of data provenance and robust pricing infrastructure in retail-facing crypto markets - When pricing data fails, it can create panic and confusion among users who rely on accurate information for trading decisions As continuous trading becomes more prevalent in retail markets, the foundation of verifiable and accurate data infrastructure becomes increasingly essential for maintaining market integrity.

**LeverUP has upgraded its pricing infrastructure by integrating Pyth Pro**, marking a significant technical advancement for the platform. **Key developments:** - LeverUP now utilizes Pyth Pro's oracle network for price data - This follows the broader industry trend of exchanges adopting Pyth Pro X as a standardized price layer - The integration aims to improve pricing accuracy and reliability for LeverUP's services The move aligns with the growing adoption of Pyth's oracle solutions across the crypto ecosystem, as exchanges increasingly standardize on Pyth Pro X for price feeds.

The Pyth Data Marketplace is restructuring how financial data flows through markets. **The Legacy Problem** - Traditional model gave vendors control over institutional price data - Institutions creating price discovery had minimal say in data distribution **The New Approach** Pyth's marketplace introduces three core principles: - **Ownership**: Data producers retain control - **Transparency**: Clear visibility into data usage - **Global reach**: Accessible infrastructure This shift moves away from legacy architectures that constrain modern market infrastructure, enabling price discovery aligned with real-time settlement. [Read Pyth's SEC comment letter](https://www.sec.gov/files/douro-labs-comment-letter-rule-603-vendor-display-rule-022026.pdf)

Polymarket has launched a crude oil prediction market powered by Pyth's oracle network. The integration brings real-time price data verification to the platform's commodities trading markets. **Key Details:** - Polymarket's new crude oil market uses Pyth for price feeds - Follows the principle of "don't trust, verify" for data accuracy - Expands Polymarket's offerings beyond crypto and political predictions This marks another adoption of Pyth's oracle infrastructure in DeFi applications, following previous integrations with platforms like Euler Finance vaults.

Pyth has launched equity price feeds designed with institutional precision: **Key Features:** - First-party data sourced directly from market makers, exchanges, and trading firms - Accuracy measured against primary exchanges rather than secondary licensing venues - Custom publisher sets for each of four trading sessions - 99th percentile deviation maintained within 20 basis points of primary markets This infrastructure brings institutional-grade market data onchain, building on Pyth's existing Pro package of 2,500+ feeds across crypto, equities, FX, and commodities from publishers including Jane Street, Jump, Cboe, and Blue Ocean. The approach prioritizes data quality through direct institutional relationships rather than relying on cheaper, potentially less accurate data sources.