Aerodrome Finance 因内幕交易暂停两名贡献者职务

4 月 17 日星期四，美国股市开盘涨跌互现，大盘继续受关税和其他宏观经济消息的影响而波动。 尽管投资者热衷于贸易谈判，但业绩报告影响了道琼斯工业平均指数，该指数开盘走低并迅速下跌 500 点，原因是联合健康集团的股价暴跌。 与此同时，标准普尔 500 指数和纳斯达克综合指数小幅开盘上涨，分别上涨 0.3% 和 0.4%。这与期货市场的前景一致，因为台积电宣布第一季度净利润增长 60%，其股价应声上涨。 然而，由于风险资产市场情绪依然看跌，标准普尔 500 指数和纳斯达克指数面临压力。 您可能还喜欢：鲍威尔提出关税担忧，市场遭受重创，加密货币保持强劲 此前，出现了两件可能提振市场的关键事件或情景。首先，唐纳德·特朗普总统抨击美联储主席杰罗姆·鲍威尔总是“迟到又犯错”。 此前，鲍威尔表示，美国的关税使央行在抑制通胀或促进增长方面面临棘手的局面。 特朗普通过 Truth Social 表示，美联储必须降息，并指出欧洲央行已多次降息，并且即将再次降息。事实上，欧洲央行随后宣布降息 25 个基点，将基准利率降至 2.25%。 特朗普总统在帖子中指出，“鲍威尔的解雇来得太慢了！” With stocks having sold-off this week, led by chipmaker Nvidia, the Dow and S&P 500 were looking at a more than 1% dip on the week. Tech-heavy  Nasdaq has shed 2.5% in the past five days. A shortened trading week sees investors eye a positive close, with tariffs and monetary policy the big factors on most investors’ minds. Bitcoin (BTC) and cryptocurrencies remained largely a reflection of the broader risk-off sentiment, with BTC flat in the past 24 hours near $84,500. Read more:EU alienates from US in the wake of trade war: the latest trends

So far, most crypto trading bots remain black boxes. Oasis Protocol has unveiled a different one, but one that also protects privacy. This move comes amid a broader surge in AI-powered crypto trading tools. However, many of these bots operate without meaningful transparency, raising concerns among retail and institutional users alike. Oasis Protocol unveiled WT3, a new autonomous AI trading agent designed to solve crypto trading’s transparency and trust problems. WT3 operates inside a secure Trusted Execution Environment while producing on-chain cryptographic proofs of its actions, letting users verify the bot’s behavior without exposing its sensitive trading strategies Crypto trading bots face the dual problem of privacy and verifiability. If they run in public, other traders can see all the trades from users. However, if they remain private, users themselves can’t know if the bot is doing what it is supposed to do. For this reason, Oasis Protocol (ROSE) has unveiled a new verifiable AI agent for crypto trading, one that protects privacy while also being transparent for users. It does so through Trusted Execution Environments (TEEs), which remain private while generating cryptographic proofs that can be used to verify their operation. You might also like:Oasis Network Price Prediction as ROSE Transactions Jump The bot will begin trading on April 29, with an initial funding of $100,000 from the Oasis Protocol Foundation. In the future, users will be able to stake stablecoins to participate in strategy yields, while 50% of the returns will support ROSE token buybacks and burns. WT3’s first strategies will incorporate Ocean Protocol’s Predictoor trading signals. Built using Oasis’s Runtime Off-chain Logic Framework, WT3 represents a shift toward confidential, verifiable AI agents in DeFi. Future versions will allow users to stake into strategies or even deploy their own customizable trading bots The launch comes as Oasis positions itself more aggressively at the intersection of decentralized finance and AI, following the broader trend of blockchain platforms embracing confidential computing. In an interview with crypto.news on April 28, Matej Janež, Head of Partnerships at Oasis Protocol Foundation, explained the advantages of these bots and what they mean for users. Recently, there has been a push to promote AI bots to retail users. What is the potential for AI bots in this market, and what’s the appeal for retail users?  The appeal of AI agents/bots for retail users is probably underestimated right now, and they have the highest potential right now in the crypto markets. Crypto always had a problem with onboarding due to the UX of creating wallets and securely storing keys, as well as having funds on the right chains to be able to interact. AI agents are meant to help the users and act on their behalf or based on their intention, simplifying the experience through a known interface. This is a key element that will make a significant change in the onboarding of new users A significant number of people are aware of how LLMs work, and they know that these models make mistakes and hallucinate. Usually, users can correct these mistakes, but with autonomous trading agents, mistakes can cost users a lot of money. How does your agent tackle this issue?  That is correct, LLMs can still make mistakes or can even be tricked, or what we call jailbroken, into doing actions that are against their internal logic. That is why having a fully autonomous agent at this point in time is not the right move yet. For that reason, WT3’s trading and capital management system isn’t connected to an LLM but is rather hardcoded into the agent’s logic. Will the WT3 agent be fully autonomous, or do you reserve the right to intervene directly in the trades at some point?  The agent will be autonomous as we won’t have access to modify things on the go, like modifying or cancelling trades. Although we do retain admin control over the TEE enclave, which means we can update the agent logic, all of that will be visible on-chain through a change in the remote attestation. There’s nothing that we could secretly do or change, everything is tracked and verified on-chain. We know that trust is a key concern for business clients. Do you know what the level of adoption of third-party AI bots is among institutions, and do they consider the lack of transparency a risk? Crypto agents are still black boxes: Oasis Protocol I’d say institutions are still very much used to the reputation trust model, where they trust Anthropic, OpenAI, Google, etc, because of their status and track record, even though there is not a lot of transparency in their AI operations. But as soon as you move into the crypto space, trustlessness becomes a key factor. LLMs had the first round and have become widely accepted and adopted. Agents and frameworks like MCP are the next round of AI adoption. Here is where we’re going to see more of an overlap between Web2 and Web3 agents, which I believe will bring a lot more demand for verifiability and trust minimization from the said institutions. Since most AI crypto trading bots are black boxes for users, this presents a unique risk. In your estimate, how many so-called AI trading bots use actual AI, and how many are just Ponzi schemes riding the AI hype?  That’s quite a spicy question. As you’ve said, the majority of crypto AI agents are black boxes, so it’s very difficult to distinguish between the true AI ones and the ones that try to mimic AI to extract from the community. And this is exactly what we’re working towards changing. Code verifiability and reproducibility are key to being able to have confidence in the agents, and this is what our ROFL framework enables. WT3 is the flagship example of it! You might also like:INTERVIEW: Pontus-X taps Oasis for private, cross-border data sharing in E.U.

美国证券交易委员会已正式承认 Grayscale 提交的现货 XRP 和狗狗币交易所交易基金申请，启动审查流程，这些加密基金可能会在今年晚些时候上市。 2 月 13 日，委员会发布了 Grayscale 19b-4 表格申请通知，这是 240 天审查和决定申请期限开始前的程序步骤。 申请一旦进入联邦公报，倒计时就开始了，这通常在委员会确认申请后的几天内发生。如果尽快处理，最终决定可能会在 10 月中旬做出。 福克斯商业记者埃莉诺·特雷特 (Eleanor Terrett) 在评论这一进展时解释说，虽然承认并不意味着“自动批准”，但它仍然标志着美国证券交易委员会立场的显著转变。 你可能还喜欢：纽约证券交易所的 XRP ETF 灰度文件 她回忆说，去年 12 月，在当时由 Gary Gensler 领导的 SEC 表示不会与交易所合作后，交易所撤回了 Solana ETF 申请。相比之下，在新的领导下，SEC 似乎更愿意考虑此类申请，这增强了人们对这些基于加密货币的产品最终可能推出的希望。 展望未来，Terrett 预计 SEC 将很快将注意力转向其他追随 Grayscale 脚步的发行商的 XRP ETF 申请。另外四家发行商，即 Bitwise、21Shares、Canary Capital 和 WisdomTree，已提交了自己的提案，目前正在等待批准。 纽约证券交易所 Arca 于 1 月 30 日向美国证券交易委员会提交了拟议的规则变更，以列出和交易 Grayscale XRP Trust 的股票，随后于 1 月 31 日为 Grayscale Dogecoin Trust 提交了类似的文件。

币安社区现在将有权决定哪些代币在交易所上市以及哪些代币从平台上删除。 加密货币最大的中心化交易所币安计划使其代币上市和退市程序民主化，以便“为用户在数字资产市场上提供更多机会”。 投票资格要求用户持有至少 0.01 (BNB) 才能为某个项目点赞，使其在 Alpha 观察区上市，或为某个代币点踩，使其通过监测区退市。获得社区支持的项目在上市前仍必须通过币安的尽职调查。据 CEX 称，现有项目将来也可以自我提名。 “对于已经完成TGE（代币生成事件）但尚未进入Alpha观察区的项目，我们将引入自我提名申请方法，详细信息将在稍后公布。” 币安公告 你可能还喜欢：进步的悖论：区块链的真正突破在于其限制 | 观点 去年，币安利用 meme 币热潮在其平台上上架了一篮子代币。由于上架标准不明确，加密货币交易社区内部出现了分歧。 投机者猜测，交易产生的费用激励了多个项目上市。另一个传言称，项目向币安施压，以获得一席之地。该公司在 3 月 6 日表示：“币安不收取上市费用。” 相关新闻称，在 Bybit 创纪录的 14 亿美元漏洞之后，加密货币 CEX 巨头呼吁采取更好的安全措施。此外，美国证券交易委员会暂停了针对该公司的诉讼，以寻求共同解决方案。 阅读更多：特朗普峰会前，贝森特部长呼吁美国比特币和加密货币占据主导地位

即使在 Shibarium 跨越重要里程碑之后，柴犬的价格仍继续下跌趋势并接近关键支撑位。 柴犬（SHIB）是第二大 meme 币，跌至 0.00001215 美元，为 3 月 14 日以来的最低水平，比今年的最高波动幅度低 23%。 在其第 2 层网络 Shibarium 的交易量突破 10 亿大关后，出现了下滑。这一数据值得注意，因为该网络上个月同一天的交易量为 9.48 亿笔。 Shibarium 在地址总数方面也即将达到另一个里程碑。目前地址总数为 1.9459 亿，这意味着本月晚些时候或 5 月份可能会突破 2 亿大关。此外，Shibarium 上累计使用的 gas 已攀升至 38 万亿 BONE，有望达到 40 万亿。 你可能还喜欢：随着纳斯达克等主要指数暴跌，BTC、ETH、XRP 价格暴跌 Shibarium Updates 在 X 上的一篇文章中表示，网络正从试验时代走向成熟、基础设施完善和具有现实价值的“黄金时代”。他将这一演变描述为“从绿色到金色”和“从模因到意义”的转变。 Shibarium：进入黄金时代正如美国的镀金时代和黄金时代以转型、创新和全球定位为标志一样，Shibarium 现在正从实验的“绿色”时代转向成熟、基础设施和现实世界的黄金时代……pic.twitter.com/878myUamrm— Shibarium 更新 📢 (@Shibizens) 2025 年 4 月 3 日 因此，Shibarium 的新“黄金时代”可能导致生态系统更快增长。DeFi Llama 数据显示，该网络的总锁定价值超过 217 万美元，比 Base 和 Berachain 等一些较新的链要小。 Shibarium 的成功对柴犬来说是一件好事，因为网络中的部分 BONE 费用会转换成 SHIB 然后焚烧掉。 柴犬价格技术分析 SHIB 价格图表 | 来源：crypto.news 日线图显示，SHIB 在过去几个月一直处于持续下跌趋势，从 11 月份的 0.00003340 美元高位跌至 0.00001088 美元。 它最近反弹至 0.00001570 美元的高点，目前正接近支撑位 0.00001080 美元，这一水平表明双底形态的形成，这是一种流行的看涨反转信号。 这种形态是在 Shiba Inu 形成下降楔形形态之后形成的，该形态由两条下降和汇合的趋势线组成。当这两条线接近汇合时，通常会形成看涨突破。 因此，一旦加密货币市场持续崩盘，该代币很可能会反弹 由于特朗普的关税结束，SHIB 的涨幅将进一步扩大。如果 SHIB 突破颈线 0.00001570 美元，则将确认进一步上涨。如果发生这种情况，它可能会反弹至 50% 斐波那契回撤位 0.000020 美元，这一走势将代表从当前水平上涨 60%。 你可能还喜欢：微软发布重要新闻后，人工智能代币 Bittensor、Render、Grass 暴跌