Infrastructure

Pyth Launches 24/7 Indices for US Equities, Metals and Oil

Pyth Network rolls out its own 24/7 indices for US equities, metals and oil — plus equity index futures with MarketVector. The Solana-born oracle now delivers continuous pricing outside regular market hours.

SOLANA·HUB Redaktion ·

What Happened

On 10 June 2026, Pyth Network launched its own 24/7 indices — continuous price and index products for US equities, metals and oil that deliver prices even outside regular market hours. Alongside, Pyth announced equity index futures co-developed with index provider MarketVector. Pyth is one of the largest oracle networks and launched on Solana; its price feeds are part of the data infrastructure many Solana DeFi protocols rely on.

What the Indices Cover

  • Single names: NVDA, TSLA, AAPL, MSFT, GOOGL, INTC, HOOD, MSTR and CRCL, among others.
  • Commodities: gold and silver, plus oil (WTI and Brent).
  • Thematic baskets: composite indices such as AI10, Defense10, China10 and Tech100.
  • Equity index futures: co-developed with MarketVector.

The indices aggregate liquidity from on-chain and off-chain venues into one continuous price — including at night and on weekends, when traditional markets are closed.

Context

Pyth is moving from single-asset price feeds toward composite, continuously computed indices. According to Pyth, the new products are already used by Coinbase, Kraken, dYdX and Nado. For the Solana ecosystem, Pyth matters as a native oracle: the same infrastructure that supplies Solana DeFi with price data now also covers continuous indices. For how tokenized equities work on Solana, see our background piece: Tokenized Stocks (xStocks).

Note: Index and price data are market data, not an investment recommendation. This is reporting, not investment advice.

What to Watch

  • Which Solana protocols integrate the new indices as a data source
  • Whether the 24/7 prices stay reliable during volatile periods
  • How the MarketVector-built futures perform

Sources

#pyth #oracle #indices #rwa #marketvector