New Pyth Data Provider: Chicago Trading Company

We are excited to announce that the Chicago Trading Company, a leading provider of liquidity and pricing on derivatives exchanges around the world, is joining Pyth network to deliver institutional grade market data to accelerate the growth of DeFi!

Who is the Chicago Trading Company?

  • Chicago Trading Company is a leading provider of liquidity and pricing on derivatives exchanges around the world
  • Recognized leading provider of liquidity and pricing on derivatives exchanges around the world, trades more than 20 hours a day, six days a week.
  • Actively trades in a broad spectrum of asset classes that include Equities, Interest Rates, and Commodities
  • Grown dramatically since inception in 1995 with offices now in Chicago, London, New York, and Hong Kong

The Chicago Trading Company will initially contribute its cryptocurrency market data to Pyth network. But as the former scales, CTC plans to expand its contribution to market data for equities. We welcome CTC to our rapidly expanding group of key industry participants who share the goal of distributing precise, high caliber market data onto the blockchain to revamp “[…] age-old practices and processes like market data services” (Brett Estell, Global Co-Head of Trading at CTC).

We look forward to working together to establish a network of institutional grade, high fidelity financial market data to power the Solana and Serum ecosystems as well as those of other major chains.

You can read more about our partnership on the official press release.

Chicago Trading Company Website: https://www.chicagotrading.com/

Pyth Network: https://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:

GTS

LMAX

Virtu

BSX

Genesis Global Trading

FTX

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