Skate, a uniform liquidity platform of which the infrastructure layer feeds a cross-chain virtual machine environment, has launched the first automated market maker protocol that will work on the best block chains.
According to an announcement, Skate AMM allows users to navigate applications in all best virtual machine, or VM, environments, including Ethereum (ETH), Solana (SOL) and Ton Blockchain (Ton). This means that users in an SVM chain can seamlessly communicate with native apps on an EVM or TonVM chain.
It is a milestone for interoperability that could see the decentralized financial ecosystem record fresh, accelerated innovation and acceptance.
On top of EVM, Solanavm and Tonvm, Skate Amm runs over the VM environments of Sui, Movement and Eclips, among other things. Support for the interaction of the Cross-VM takes place while users benefit from uniform liquidity and prices.
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With legacy hindered as a monolithic design means that they are silent in one supported chain. Every new chain is forced to start their own AMM, whereby liquidity providers must split capital, resulting in bad prices and slipping.
Skate AMM seems to tackle thi with a stateless design that means multi-chain and multi-VM support.
Instead of fragmented liquidity and prizes, the AMM brings a canonical liquidity state and hub into the game. Users can use liquidity of one of the supported chains, whereby actively validated services operators offer security through the Economic Trust or Ethereum Resting Protocol Eigenlayer.
According to the skate team, separation of Kern -am -Logica results from the custody of assets in uniform liquidity and better prices. Users’ assets remain in the native chain, which eliminates the bridging of risks.
Although this means “deeper liquidity, fewer slips and better prices” for traders, the implications for LPS include the potential for better reimbursements, greater user experience and higher capital efficiency.
Skate AMM benefits users in Mantle, Hyperliquid, Berachain, Monad, Arbitrum, Story Protocol, Sonic SVM, soon, ZKSYNC and APTOS.
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