New Pyth Data Provider: Flow Traders

We are pleased to have Flow Traders joining the Pyth network, a next-generation oracle solution designed to bring real-world data on-chain on a sub-second timescale.

Who are Flow Traders?

  • Founded in 2004, Flow Traders is a leading global financial technology-enabled liquidity provider in financial products.
  • Historically specializing in Exchange Traded Products (ETPs), Flow Traders now ensures the provision of liquidity to support the uninterrupted functioning of financial markets across multiple asset classes, enabling investors to continuously buy or sell ETPs or other financial instruments under all market circumstances.

Flow Traders joins a prominent community of trading firms, market makers, and exchanges committed to the Pyth network, including Jump Trading Group, IEX, Cumberland DRW, Hudson River Trading, Jane Street, and Susquehanna International Group, among others.

Flow Traders will initially provide crypto asset data to the Pyth network, with plans to expand across asset classes as the Pyth network continues to expand.

Dennis Dijkstra, CEO of Flow Traders, commented: “We are delighted to have joined the Pyth network. Flow Traders is hugely supportive of initiatives such as those being advanced by Pyth which not only will improve the accuracy and quality of market data but also seek to democratise this data among multiple actively contributing market participants. We believe that this will help to establish greater efficiency and transparency in the markets, in line with Flow Traders‘ longstanding beliefs.“

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.

You may find additional information in the official press release.

Flow Traders Website: www.flowtraders.com

Pyth Network: https://pyth.network/

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