Auros, which specializes in both algorithmic trading and market-making, has entered into a partnership with the Pyth Network in order to provide real-time, high-frequency data. Pricing information for a variety of cryptocurrencies will be provided to Pyth by Auros’ cutting-edge high-frequency trading system. Auros was established by derivatives traders and trading system builders with more than 20 years of combined industry expertise. The firm generates daily notional turnover in the billions of dollars.
Dependable and resilient trading performance is provided by Auros thanks to its technological history, which consists of advanced pricing models combined with cutting-edge implementation features. The firm’s one-of-a-kind partnership-based strategy for the provision of external liquidity has enabled it to rapidly position itself as the token projects’ market maker of choice.
Additionally, Auros possesses significant expertise in the trading of structured products, the optimization of DeFi, and liquidity-led investments. Through a network of more than 70 data sources, Pyth, the industry’s leading oracle platform for latency-sensitive financial data, is increasing institutional trading activity on-chain. Pyth’s capability to offer aggregated data to a variety of blockchain protocols will be improved as a result of the addition of Auros’ industry-leading pricing data.
Providing Reliable, High-Fidelity Data For All
Auros aggregates data from a wide variety of sources and then filters it for quality and accuracy at intervals of less than one second to ensure that its pricing can react extremely quickly to changes in the market. This data serves as the foundation for all of the company’s key offerings, from the provision of long-term liquidity for associate ventures to the high-frequency trading and arbitrage operations of the company. Auros has merged with over 60 exchanges, both centralized (CEX) and decentralized (DEX).
The firm now commands a sizable portion of daily worldwide trade while amassing a total trading volume of over $1.5 trillion. Pyth is able to gather and publish data at sub-second speeds for more than 90 price feeds encompassing cryptocurrencies, equities, foreign exchange, and metals. This data is submitted across blockchains through the Wormhole messaging protocol. Pyth has been able to effectively secure over $25 billion in total traded volume since its start, and the company is continuing to extend its footprint.
According to Ben Roth, Co-Founder and CIO of Auros: “Auros is thrilled to be joining the Pyth Network to contribute reliable, high fidelity data for all. By sharing our high-frequency trading data with a truly on-chain decentralized network, we aim to foster innovation that will lead to better financial solutions for all participants. We expect the Pyth Network will become an invaluable part of a future decentralized financial system and are delighted to be partnered with them on this mission.”
Attracting Leading Trading Firms In Traditional & Digital Asset Markets
Since Pyth has already engaged the most advanced trading businesses in both traditional and digital asset markets, the addition of another prominent high-frequency market maker to the Pyth community does not come as a surprise. Auros price data will unquestionably promote more DeFi and Web3 initiatives and protocols. Latency-sensitive financial data is often stored within the “walled gardens” of centralized organizations. The Pyth Network is a customized oracle solution that can access this type of data quickly and efficiently.
Pyth’s primary objective is to discover an innovative and low-cost method for bringing this one-of-a-kind data on-chain and safely aggregating it. A board of directors chosen by Pyth Network members governs the Pyth Data Association, which was established to assist the Pyth Network. Moreover, along with the Jump-backed infrastructure project Wormhole, Pyth was recently deployed on Aptos, a layer 1 blockchain project developed last year by Meta alumni. Pyth was successfully deployed on Aptos, introducing off-chain data onto Aptos. This data may then be used by developers to develop decentralized applications (dApps).
