New Pyth Data Provider: Aquanow

Pyth Network
2 min readMar 28, 2022

We are thrilled to welcome Aquanow to the Pyth network. Aquanow will feed its high-quality digital asset data to Pyth, a specialized oracle solution for latency-sensitive financial data, and help deliver market access to trusted pricing.

Who is Aquanow?

  • Aquanow is a leading infrastructure and liquidity provider that enables institutional and enterprise use-cases for digital assets.
  • Each month, billions pass through the platform enabling a broad range of financial services for the world’s fastest-growing financial institutions, fintech platforms, and global companies.
  • Founded in 2018, Aquanow is purpose-built to deliver custom trading, payment, yield, and wallet solutions. The firm is guided by experienced financial executives and professional traders. Aquanow is an international organization with its head office located in Vancouver, Canada.

“As a company focused on digital asset infrastructure, we’re excited to support the Pyth network and be a part of this growing DeFi community. This partnership recognizes Aquanow as a trusted source of market data,” said Phil Sham, Aquanow Chief Executive Officer. “Pyth is one of the leading oracle solutions in DeFi and works to bridge the gap between traditional and emergent financial markets. Our companies and missions are a natural fit.”

We look forward to further coordinating with amazing partners to establish a digital marketplace of institutional grade, high fidelity financial data to power any financial dApps regardless of their blockchain base and offer the best data to the world.

Aquanow Website: www.aquanow.io

Pyth Network Website: https://pyth.network/

We cannot wait to hear what you think! Feel free to join us on the Pyth Discord server, follow Pyth on Twitter, and Telegram to learn more, and ask any questions you may have.

Discover all other 50+ Pyth network data publishers here.

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Pyth Network

Smarter data for smarter contracts. Pyth is designed to bring real-world data on-chain on a sub-second timescale.