Pyth 24/7 Indices Expansion: Amazon, Meta, Samsung, and More
Twelve new Pyth Indices go live this week, adding Amazon, Meta, Samsung, and three ETF-based indices to continuous around-the-clock pricing.
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Pyth Indices are growing fast. A new batch (12) is live this week, extending continuous pricing across more of the equity market, the first Korea-listed name in the suite, and new ETF-based indices.
What's New
US equities: AMZN, META, COIN, PLTR, ORCL, NBIS, SKHY, and SNDK. Some of the most actively traded names in the market, now priced around the clock.
First Korea-listed name: Samsung. One of the most important companies in global technology and semiconductors, and the first Korea-listed name in the Pyth Indices suite.
ETF-based indices: EWY, SOXL, and SOXS. Sector and country exposure, priced continuously.
Each is a proprietary Pyth Index, built on Pyth's own price feeds and priced continuously, including the nights and weekends traditional markets are closed.

A Suite That Keeps Growing
This batch is part of a steady expansion. Since launch, Pyth Indices has grown from a single oil index into continuous pricing across oil, metals, single-name equities, thematic baskets, and now international listings and ETF-based products.
The pace reflects demand. Exchanges, platforms, and institutions want continuous pricing for a widening set of assets, and the network's position at the point where prices originate means new indices can be added across asset classes and geographies without rebuilding the underlying infrastructure each time.
Live and In Use
The expansion is being driven by adoption. Coinbase, Kalshi, Kraken, OKX, and others are actively building on Pyth Indices, using continuous pricing to power markets that traditional infrastructure could not support. Each new index widens what exchanges can offer their users, and each new user reinforces the case for continuous pricing as the standard for modern markets.
Request Access
The suite will keep growing across asset classes, geographies, and product types.
For platforms and institutions interested in building on Pyth Indices, request access here.
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