New Pyth Data Provider: Hudson River Trading

Pyth Network
2 min readAug 23, 2021

We are excited to announce that Hudson River Trading, a leading quantitative trading firm with an established presence in global financial and cryptocurrency markets, is joining the Pyth Network to leverage the power of decentralized finance and build something that can transform our financial markets!

Who is Hudson River Trading (HRT)?

  • HRT was founded in 2002 and now employs more than 500 people around the world using a quantitative approach to problem solving.
  • HRT is a recognized leader both for on-exchange and off-exchange trading which has lead them to handle about 10% of the daily U.S. stock trading volume!

Hudson River Trading will initially contribute its real-time crypto and equities market data to the Pyth network. Brad Vopni, Head of Digital Assets at HRT, said: “HRT is at the forefront of innovation in the world of automated trading and our teams thrive on the excitement of being at the cutting edge of new technologies and projects. This is why we were eager to be a part of the Pyth network as we leverage the power of decentralized finance to build something that can transform our financial markets.”

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.

You can read more about our partnership on the Hudson River Trading in the press release.

Hudson River Trading Website:

Pyth Network:

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

Previous data providers announcements:



Virtu Financial


Genesis Global Trading



Akuna Capital

IEX Cloud



Cumberland DRW

XR Trading


KGI Securities (Singapore)



Pyth Network

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