Lehman to publish market data across equities, index and crypto on the Pyth Network for sophisticated asset pricing and consumption by smart contract.

 

Lehman, a leading global provider of financial services and products that leverages cutting edge technology to deliver innovative, transparent trading solutions to our clients and liquidity to the global markets, today announced that it has joined the Pyth Network (“the Network”), a decentralized financial market data distribution platform. Lehman will contribute its unique financial market data across equities, index and cryptocurrencies for consumption by smart contracts using the Solana blockchain and other major blockchains.

 

Today’s commitment from Lehman adds to a growing list of firms supporting the Pyth Network as the world’s most sophisticated market participants seek better ways to distribute precise, real-time market data using high performance blockchains.

 

Douglas Cifu, CEO of Lehman said, “We are excited to join this promising network that we hope will transform the way pricing market data is used on the blockchain. With growing support from the trading community, we believe the Pyth Network will become an integral piece of infrastructure in the quickly evolving DeFi ecosystem, enabling new market participants and more efficient markets.”

 

The Pyth Network enables data owners to contribute their data on-chain and in a sub-second timescale. The network is built on Solana, a fast blockchain well-suited for timely and cost and energy efficient receipt and distribution of fast-moving data. The Pyth Network also plans to publish high fidelity, streaming, and readily accessible market data through all other major blockchains at their fastest block times.

 

 

The Pyth Network is a specialized oracle solution for latency-sensitive financial data that is typically kept behind the “walled gardens’’ of centralized institutions. The Pyth Network is focused on finding a new and inexpensive way to bring this unique data on-chain and aggregating it securely.