资讯
数据来源互联网，有问题可以联系下架。
08/15周六
Lido 上线 NEST 自动化 LDO 回购机制，年回购上限 1000 万美元
Lido 上线 NEST 自动化 LDO 回购机制，当 DAO 质押收入盈余超过 4000 万美元基准线时，50% 的盈余将通过 CoW Swap 自动买入 LDO；若收入不及基准线，缺口需由后续盈余补足，单日购买上限 5 万美元，年度上限 1000 万美元，所购 LDO 归 DAO 所有。
08/14周五
08/13周四
疑似私钥泄露致约2500万美元被盗，2023年曾因钓鱼攻击损失2400万美元
BlockBeats 消息，8 月 13 日，据 ScamSniffer 监测，某加密货币持有者疑似因私钥泄漏，在短短 15 分钟内被清空两个钱包，损失约 2500 万美元。属于同一受害者的两个地址将全部资产——包括 DAI、WBTC、aUSDC、LDO、sUSDe 以及原生 ETH 转移至一个全新地址。 一小时内，被盗资金被兑换为 DAI 和 ETH：其中 2000 万枚 DAI 转入另一地址，约 3000 枚 ETH 仍留在整合地址。此次事件被怀疑为私钥泄露，而非常规钓鱼授权。 值得注意的是，该受害者地址为 2023 年 9 月因签署钓鱼 increaseAllowance 交易而损失 4851 枚 rETH 与 9579 枚 stETH（约 2400 万美元）的同一钱包。当时攻击者最终返还了约 90% 的盗取资金。 <a style=
Assets worth $25.6 million were stolen, with the attacker exchanging assets such as WBTC for DAI and ETH
Odaily News: According to on-chain detective Specter's monitoring, the attacker exchanged all assets, including WBTC, cbBTC, LDO, USDS, and CRV, for DAI and ETH. The same wallet had previously been compromised in September 2023 due to a malicious token approval, resulting in a loss of $24.23 million, with the attacker ultimately returning approximately 90% of the stolen funds. The attacker's address is 0x8fEB...F95Ae.
08/06周四
灰度二季度调整加密基金持仓：GSC基金增持BNB，AI基金移除NEAR，DeFi基金出售UNI
BlockBeats 消息，8 月 6 日，Grayscale Investments 公布 2026 年第二季度多资产基金再平衡结果，根据各指数方法论调整旗下多只加密基金配置。 Grayscale DeFi 基金（DEFG）根据 CoinDesk DeFi Select Index 进行调整，出售 Uniswap（UNI），并将资金按现有基金成分比例重新配置。截至 8 月 3 日收盘，DEFG 基金持仓包括 UNI 34.16%、Ondo（ONDO）25.44%、Aave（AAVE）19.97%、Ethena（ENA）12.19%、Curve（CRV）4.42% 以及 Lido DAO（LDO）3.82%。 Grayscale 智能合约基金（GSC）根据 CoinDesk Smart Contract Platform Select Capped Index 调整组合，出售部分现有资产，并使用资金买入 BNB，使 BNB 成为该基金最大权重资产。截至 8 月 3 日，GSC 基金持仓比例为 BNB 30.6%、以太坊（ETH）29.47%、Solana（SOL）29.15%、Cardano（ADA）4.88%、Hedera（HBAR）2.08%、Avalanche（AVAX）1.92%、Sui（SUI）1.9%。 Grayscale 去中心化 AI 基金（AI Fund）则出售 NEAR Protocol（NEAR），并将资金重新配置至其他基金成分资产。截至 8 月 3 日，该基金持仓包括 NEAR 31.35%、Bittensor（TAO）29.15%、Render（RENDER）21.59% 以及 Filecoin（FIL）17.91%。 <a style=
灰度完成2026年Q2多资产基金再平衡，DeFi基金出售UNI
Odaily星球日报讯 灰度宣布已完成旗下多资产数字资产基金 2026 年第二季度的定期再平衡，对 DeFi 基金、智能合约基金和去中心化 AI 基金的资产权重进行调整。其中，DeFi 基金 DEFG Fund 出售 Uniswap（UNI），并将所得资金按照现有基金成分权重重新配置。截至 8 月 3 日，DEFG Fund 持仓包括 UNI 34.16%、Ondo（ONDO）25.44%、Aave（AAVE）19.97%、Ethena（ENA）12.19%、Curve DAO Token（CRV）4.42%、Lido DAO（LDO）3.82%。\ \ Grayscale Completes Q2 2026 Multi-Asset Fund Rebalance; DeFi Fund Sells UNI
灰度完成多资产基金再平衡，调整 DeFi 等基金权重
据 Globenewswire 报道，灰度完成旗下多资产数字资产基金 2026 年第二季度再平衡，调整了 DeFi 基金、智能合约基金及去中心化 AI 基金的资产权重，其中 DeFi 基金 DEFG Fund 出售 Uniswap（UNI）并将所得资金按现有成分权重重新配置，截至 8 月 3 日 DEFG Fund 持仓包括：UNI 34.16%、Ondo（ONDO）25.44%、Aave（AAVE）19.97%、Ethena（ENA）12.19%、Curve DAO Token（CRV）4.42%、Lido DAO（LDO）3.82%。
08/05周三
Lido DAO 启动 NEST 自动化回购机制投票
Lido DAO 开启 NEST 自动化回购机制链上投票，投票时间为 8 月 5 日至 8 月 8 日 22:00（UTC+8）。NEST 机制通过协议收入或协议控制的流动性在去中心化市场上系统性回购 LDO 代币，将 Lido 协议表现与 LDO 代币价值关联。该机制执行围绕 LDO 与 wstETH 流动性对展开，投票通过后 Lido 将转向自动化价值分配模式。
回购机制转向自动化，Lido DAO启动NEST链上投票
Odaily星球日报讯 Lido Finance 官方发布治理更新，Lido DAO 已正式开启 NEST 自动化回购机制的链上投票，投票主窗口为 8 月 5 日至 8 月 8 日 14:00 UTC。NEST 是一套自动化、基于规则的链上机制，将 Lido 协议表现与 LDO 代币直接关联，相关设计和参数已在 5 月通过 Snapshot 投票获得批准。NEST 的核心逻辑是通过协议收入或协议控制的流动性在去中心化市场上系统性回购 LDO 代币，从而在代币层面持续捕获协议价值增长。机制执行将围绕 LDO 与 wstETH 的流动性对展开，具体实施细节仍在社区论坛持续更新中。此次链上投票若获通过，Lido 将从依赖周期性治理驱动的回购方案转向持续、可预期的自动化价值分配模式。
Lido DAO启动NEST自动化回购链上投票，拟议机制将协议表现与LDO代币关联
BlockBeats 消息，8 月 5 日，Lido Finance 官方发布治理更新，Lido DAO 已正式开启 NEST 自动化回购机制的链上投票，投票主窗口为 8 月 5 日至 8 月 8 日 14:00 UTC。NEST 是一套自动化的、基于规则的链上机制，将 Lido 协议的表现与 LDO 代币直接关联，相关设计和参数已在 5 月通过 Snapshot 投票获得批准。 NEST 的核心逻辑是通过协议收入或协议控制的流动性在去中心化市场上系统性地回购 LDO 代币，从而在代币层面持续捕获协议价值增长。机制执行将围绕 LDO 与 wstETH 的流动性对展开，具体实施细节仍在社区论坛持续更新中。此次链上投票若获通过，Lido 将从依赖周期性治理驱动的回购方案转向持续、可预期的自动化价值分配模式。 <a style=
07/22周三
重要美媒：特朗普批准与沙特达成30年核协议
gh-speed interconnects. Citigroup described this trend as “another Jevons paradox,” where improvements in model efficiency and cost reductions may lead to more application scenarios and higher token consumption. UBS stated that open-source models typically rely more on memory and storage due to longer context windows. Citigroup believes that large-scale deployment of Kimi K3 may require supernodes composed of more than 64 GPUs. Nomura argued that the global competition in large language models will continue to drive investment from frontier labs and cloud platforms, benefiting the AI infrastructure supply chain. However, BofA Securities cautioned that if model efficiency improvements consistently outpace workload growth and actual usage fails to expand correspondingly, AI infrastructure construction could still face downside risks. 1c:T46c, Odaily July 21 news, according to SoSoValue data, the cryptocurrency market sectors have broadly rebounded, with the DeFi sector performing promine…
07/21周二
重要长鑫科技的配售股数“腰斩”，实际认购股数约缩水一半
ication scenarios and higher token consumption. UBS stated that open-source models typically rely more on memory and storage due to longer context windows. Citigroup believes that large-scale deployment of Kimi K3 may require supernodes composed of more than 64 GPUs. Nomura argued that the global competition in large language models will continue to drive investment from frontier labs and cloud platforms, benefiting the AI infrastructure supply chain. However, BofA Securities cautioned that if model efficiency improvements consistently outpace workload growth and actual usage fails to expand correspondingly, AI infrastructure construction could still face downside risks. 1d:T46c, Odaily July 21 news, according to SoSoValue data, the cryptocurrency market sectors have broadly rebounded, with the DeFi sector performing prominently, rising 2.28% in 24 hours. Among them, Hyperliquid (HYPE) rose 3.55%, DeXe (DEXE), Uniswap (UNI), and Lido DAO (LDO) rose 4.96%, 5.32%, and 11.80% respectively…
重要Trade[XYZ] 46% has covered ticker costs on HIP-3 markets, with GOLD generating over $4.6 million in fees
er scale and long-context capabilities will increase KV cache occupancy, thereby boosting demand for HBM, server DDR5, enterprise SSDs, cloud infrastructure, and high-speed interconnects. Citigroup described this trend as “another Jevons paradox,” where improvements in model efficiency and cost reductions may lead to more application scenarios and higher token consumption. UBS stated that open-source models typically rely more on memory and storage due to longer context windows. Citigroup believes that large-scale deployment of Kimi K3 may require supernodes composed of more than 64 GPUs. Nomura argued that the global competition in large language models will continue to drive investment from frontier labs and cloud platforms, benefiting the AI infrastructure supply chain. However, BofA Securities cautioned that if model efficiency improvements consistently outpace workload growth and actual usage fails to expand correspondingly, AI infrastructure construction could still face downside…
快讯由第三方来源发布，本站只做摘录并链接原文，内容不代表本站观点，也不构成投资建议。