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Pyth launches new oracle ‘Lazer’ to offer price feeds to latency-sensitive apps

Pyth launches new oracle ‘Lazer’ to offer price feeds to latency-sensitive apps

The Block2025/01/15 16:00
By: The Block
CORE+1.08%SOL+0.65%PYTH+1.94%
Quick Take Pyth Network has introduced Lazer, a new oracle designed to complement its existing Pyth Core offering. It targets latency-sensitive applications like high-frequency trading, derivatives and perpetual futures protocols.
Pyth launches new oracle ‘Lazer’ to offer price feeds to latency-sensitive apps image 0

Pyth Network introduced a new oracle solution, Lazer, designed as a complimentary oracle offering to Pyth Core, specifically targeting latency-sensitive trading apps and exchanges. 

With the launch of Lazer, Pyth says it will offer ultra-low-latency price feeds with customizable frequency channels that can update as fast as one millisecond. This could allow DeFi protocols to perform real-time market analysis and operations, potentially outperforming centralized exchanges.

The project noted that the solution is engineered to minimize compute costs in blockchain environments, making it efficient for high-throughput operations, such as supporting 20 price feeds simultaneously on Solana.

The service will operate across multiple blockchain environments, including the Ethereum Virtual Machine (EVM) and Solana Virtual Machine (SVM), and it plans to extend its support to other blockchains. Pyth Lazer supports up to 1,000 different price feeds and offers detailed data such as bid-ask prices and market depth.

Unlike traditional oracles that rely on third-party data sources, Pyth sources its data directly from first-party publishers, including leading exchanges, market makers and financial services providers. It recently collaborated with Revolut, a popular financial technology company, which became a data publisher on the network for various assets.


Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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