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RedStone

RedStone

RED
#1718
$0.1365下落 0.07 パーセント($0.00)

主要統計

時価総額$81.50M下落 0.07 パーセント
取引高 (24時間)$1.15M
完全希薄化後評価額$81.50M
取引高/時価総額 (24時間)1.41%
総供給量597.00M RED
最大供給量∞
開始日2022-02-07
構築基盤ETH
トークン標準ERC20
スマートコントラクトアドレス0xc43C…B5dE
小数点以下の桁数18

RedStone 情報

ウェブサイト
業界
Cross-Chain Infrastructure

RedStone 価格コンバーター

RedStoneRED
USD

最新 RedStone ニュース

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RedStone マーケット

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インストゥルメント取引所ベンチマークデータ価格24時間変動
RedStoneUSDT logo
RED-USDT
REDUSDT
binance logobinance
AA
0.1366USDT
0.15%
RedStoneUSDT logo
RED-USDT
RED_USDT
whitebit logowhitebit
BB
0.1368USDT
0.00%
RedStoneUSDT logo
RED-USDT
REDUSDT
bybit logobybit
A
0.1366USDT
0.25%
RedStoneUSDT logo
RED-USDT
REDNEWUSDT_SPBL
bitget logobitget
BB
0.1366USDT
0.37%
RedStoneUSD logo
RED-USD
RED-USD
coinbase logocoinbase
AA
0.1366USD
0.07%

RedStone サポートされているプラットフォーム

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取引名トークン標準構築基盤スマートコントラクトアドレス開始日
REDERC20ETH0xc43C6bfeDA065fE2c4c11765Bf838789bd0BB5dE2022-02-07

よくある質問

RedStone (RED) is the native utility token of RedStone, a decentralised oracle network that provides scalable, cost-efficient, and customisable data feeds for blockchain applications. It enables smart contracts to access accurate and frequently updated data across multiple ecosystems, including Ethereum Virtual Machine (EVM) and non-EVM chains.

RedStone introduces a modular architecture that separates data sourcing, processing, and delivery, aiming to improve efficiency and reduce gas costs compared to traditional blockchain oracles.

RedStone provides three distinct oracle models for data delivery:

  1. Push Model
    • Data is stored on-chain and updated periodically.
    • Ensures constant availability and full control over update conditions.
    • Suitable for applications that require persistent on-chain data.
  2. Pull Model
    • Data is fetched on-demand and included in user transactions.
    • Reduces gas costs and storage overhead compared to on-chain models.
    • Designed for low-latency applications, such as liquidations and trading.
  3. Hybrid Model (ERC-7412 Standard)
    • Combines Push and Pull models, allowing applications to fetch data while maintaining an on-chain record.
    • Used for cost-efficiency and security, particularly in DeFi and financial applications. Each model is designed for different use cases, ensuring flexibility and reliability.

RED is the core utility token of the RedStone network, supporting:

  • Data providers stake RED tokens to ensure data accuracy and reliability.
  • RED holders can stake to support the network, contributing to oracle security.
  • Stakers receive rewards in assets such as ETH, BTC, SOL, and USDC.

  • Projects using RedStone pay for data feeds in various assets.
  • Payments are distributed to stakers and data providers.

  • Future governance mechanisms may allow RED holders to influence network upgrades and fee structures.

  • Supports over 70 blockchains, including Ethereum, Arbitrum, Optimism, Polygon, Avalanche, Fuel, and Starknet.
  • Enables cross-chain data access.

RedStone provides specialised financial data, including:

  • Liquid Restaking Token (LRT) feeds.
  • Bitcoin DeFi (BTCFi) derivatives.
  • Traditional financial data (ETF prices, institutional rates).

  • Multi-source aggregation filters manipulated or unreliable data.
  • Cryptographic signatures ensure data authenticity.
  • Decentralised node infrastructure prevents single points of failure.

RedStone was co-founded by:

Marcin Kazmierczak (Co-Founder) Alex Suvorov (Co-Founder) Jakub Wojciechowski (Co-Founder)

RedStone validates data through:

  • Median-Based Aggregation – Reduces the impact of manipulated prices.
  • Time-Weighted Average Price (TWAP) – Filters short-term price anomalies.
  • Liquidity-Weighted Average Price (LWAP) – Ensures pricing accuracy for lower-liquidity assets.

  • Every data feed is signed cryptographically to verify authenticity.
  • On-chain verification ensures data sources remain tamper-resistant.

  • Data is pulled from centralised exchanges (Binance, Coinbase), decentralised exchanges (Uniswap, Curve), and aggregators (CoinMarketCap, Kaiko).
  • Ensures high uptime and minimised risk of incorrect pricing.