LeisureMeta

Preço

(lm)
Nota: Esta plataforma não oferece suporte a serviços de negociação nesta moeda
$0.00085332 -3.1%

      Visão Geral

      lm Dados de Preços ao Vivo

      lm Informações de Preços

      24h Mín./Máx.

      24h Mín. $0.00085281
      24h Máx. $0.00092151

      Máxima Histórica

      US$1.39

      Mínima Histórica

      US$0.00085281

      Preço Alto 7D

      US$0.00109177

      Preço Baixo 7D

      US$0.00085281

      lm Informações de Mercado

      Classificação de Capitalização de Mercado

      2560

      Avaliação Totalmente Diluída

      US$3983194

      Fornecimento Total

      4,668,074,832.13

      Fornecimento Máximo

      5000000000

      Vantagens de Capitalização de Mercado

      0%

      Oferta em Circulação / Capitalização de Mercado Total

      0.100

      Sobre lm

      LeisureMetaverse issued its own utility token, LM token to energize trade of NFTs and increase the valuation of NFTs. LeisureMetaverse operates its own blockchain, but the LM token in LeisureMetaverse and the ERC20 LM token on Ethereum are interchangeable through the gateway between LeisureMetaverse and Ethereum. As an NFT minting & trading DAO platform, the Leisure metaverse platform is designed to overcome limitations of existing blockchain platforms such as scalability, gas fee and awkward UX. Using Tendermint style proof of stake PoS) based Byzantine Fault Tolerant BFT) consensus algorithm, LeisureMeta chain has attained 1,000 TPS and transaction finality at once. The Bloom filter is used to distinguish known transactions between individual nodes to enhance the efficiency of networking by transmitting unknown transactions only. With multiple private key paring system, the UX was improved by assigning individual private keys for user"s each device. LeisureMeta blockchain reduced the block time to 1 sec with Conflict free Replicated Data Type (CRDT) structure to eliminate the ordering between intra block transactions. Consequently, the computing power required for blockmaking process has been significantly minimized.

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