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Home»Blockchain»LeverUp partners with Pyth Network to improve real-time data feeds for decentralized perpetual trading applications
Blockchain

LeverUp partners with Pyth Network to improve real-time data feeds for decentralized perpetual trading applications

2025-11-28No Comments3 Mins Read
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LeverUp, a decentralized, liquidity provider (LP)-free perpetual exchange, today announced a strategic partnership with Pyth Network, a decentralized oracle protocol that provides real-time financial market data from institutional sources to blockchain networks. Through this partnership, LeverUp integrated Pyth’s oracle infrastructure into its perpetual trading platform to bring reliable and accurate on-chain market data to decentralized applications on its network.

LeverUp is a decentralized perpetual exchange built on Monad’s Layer-1 blockchain, allowing global users to access up to 1001x leverage on major crypto tokens and real assets. It adopts an alternative model that eliminates the need for liquidity providers, redistributing all protocol costs among traders and users.

LeverUp × @PythNetwork

Pyth now powers the pricing tier of LeverUp’s 1001x Perps
Delivering fast, reliable price updates 24/7 so every transaction is executed accurately pic.twitter.com/NEeQjvEIro

— LeverUp (mainnetbow) (@LeverUp_xyz) November 25, 2025

LeverUp upgrades to Pyth’s Oracle Data Stream

LeverUp and other decentralized perpetual trading platforms thrive on real-time data for their on-chain efficiency, as speculative trading in 24/7 volatile crypto markets requires fast and reliable data. Through this partnership, LeverUp leverages Pyth’s oracle solution to increase market price accuracy, improve sub-second data for leveraged trading, and increase the reliability of liquidations.

Pyth Network is one of the prominent, reliable oracle networks, providing price data from multiple major institutions, both from traditional financial and crypto markets. Pyth collects and transmits data at sub-second speeds, making it accessible across blockchain networks via the Wormhole messaging protocol. Alongside giants like Chainlink and RedStone, Pyth Network has gained recognition as a trusted source of financial data for the decentralized finance ecosystem.

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By integrating Pyth’s oracle infrastructure into its perpetual trading platform, LeverUp unlocks several benefits. First, this now ensures that Pyth’s reliable and decentralized price feeds in the real world ensure that perpetual contracts on LeverUp’s blockchain network accurately reflect the underlying market value of various decentralized applications. This integration contributes to more effective and reliable trading on the stock exchange.

Second, perpetual trading platforms like LeverUp rely on accurate market data and price stability to avoid unnecessary liquidation events and price drops. Through this partnership, Pyth will deliver sub-second data updates, which are essential for LeverUp’s volatile assets. Additionally, by merging data from multiple decentralized and traditional sources, Pyth delivers a verifiable and real-time price feed, ensuring transparency and accuracy for LeverUp’s smart contract applications and a wide variety of financial assets on the trading platform.

Additionally, during volatile crypto price movements, Pyth’s real-time oracles ensure that LeverUp perpetual contracts are always anchored to accurate market prices. This helps reduce mismatches in financing rates and unnecessary liquidations. Finally, Pyth Network is built on the Solana blockchain. Solana’s scalability and speed support Pyth’s real-time data feeds; This allows LeverUp’s trading platform to instantly perform fast, cost-efficient settlements and order matching.

Building the future of decentralized perpetual trading with trusted data

As decentralized perpetuals trading continues to evolve and meet users’ needs in DeFi, the partnership with Pyth Network will enable LeverUp to play a larger role in the Web3 space. Through the collaboration, Pyth and LevelUp are redefining decentralized perpetuals trading to solve its most problematic challenge: enabling decentralized, accurate, and real-time price feeds.

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