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Magma Finance Officially Launches ALMM: Sui's First Adaptive & Dynamic DEX, Pioneering a New Liquidity Management Paradigm

Magma Finance Officially Launches ALMM: Sui's First Adaptive & Dynamic DEX, Pioneering a New Liquidity Management Paradigm

BlockBeatsBlockBeats2025/09/12 06:00
By:BlockBeats

Magma Finance today officially announced the launch of its innovative product ALMM (Adaptive Liquidity Market Maker), becoming the first Adaptive & Dynamic DEX product on the Sui blockchain. As an improved version of DLMM, ALMM significantly enhances liquidity efficiency and trading experience through discrete price bins and a dynamic fee mechanism, marking a major upgrade to the Sui ecosystem's DeFi infrastructure.

Article Source: Magma


Magma Finance today officially announced the launch of its innovative product ALMM (Adaptive Liquidity Market Maker), becoming the first "Adaptive & Dynamic" DEX product on the Sui blockchain. As an improved version of DLMM, ALMM significantly enhances liquidity efficiency and trading experience through discrete price bins and a dynamic fee mechanism, marking a major upgrade to the Sui ecosystem's DeFi infrastructure.


As a leading DeFi protocol focusing on Sui and the MOVE language, Magma Finance's launch of ALMM aims to address pain points of the traditional AMM model in terms of capital efficiency, slippage control, and fee adaptability. ALMM optimizes DLMM's dynamic allocation logic, introduces discrete price bins to replace wide price ranges, and dynamically adjusts fees based on market volatility. This not only makes Sui the first ecosystem to deploy such a product, but also provides developers and users with a more efficient liquidity solution, driving the rapid development of the entire Sui DeFi ecosystem.


Core Features, Advantages, and Characteristics of ALMM


The core design of ALMM combines "Adaptiveness" and "Discretization," tailored for Sui's high-performance characteristics. Its main features include:


- Discrete Price Bins and Zero Slippage: Liquidity is divided into discrete price bins (similar to ticks), and trades within the same bin achieve zero-slippage execution. The algorithm automatically concentrates liquidity in active price ranges, avoiding idle funds and improving capital efficiency.


- Dynamic Adaptive Fees: Fees are dynamically adjusted based on market volatility—rising during high volatility to compensate for LP impermanent loss risk, and decreasing during low volatility to attract traders. This mechanism ensures higher returns for LPs while providing traders with better execution prices.


- Flexible Liquidity Strategies and One-Sided Support: LPs can choose Spot, Curve, or Bid-Ask strategies, supporting one-sided liquidity provision for easy onboarding of new projects. Compared to traditional CLMM or DLMM, ALMM automatically adapts to market changes and integrates the Sui Move language to ensure security and efficiency.


These features make ALMM stand out as a benchmark product for Liquidity Management on Sui, helping projects attract liquidity and providing traders with zero slippage, high-efficiency DeFi experience.


TVL Skyrockets as Points Campaign Heats Up


Leading up to the launch of ALMM, Magma Finance has already shown strong momentum. Through early testnet activities, ecosystem partnerships, and integrations, the protocol's TVL has continued to grow. As of early September 2025, Magma ALMM has attracted thousands of users to participate in testing, with the protocol's total TVL exceeding $20 million. The protocol's code has undergone multiple rounds of auditing by top security firms such as Zellic and Three Sigma.


To incentivize community participation, Magma Finance has launched a points campaign where users can earn points by providing liquidity, trading, or completing tasks. These points will be converted into future airdrop rewards and governance rights. Magma Finance has also introduced various community engagement activities on platforms like Galxe, attracting tens of thousands of participants.


For more details, please visit the Magma Finance website.


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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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