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China successfully launched two hyperspectral satellites off its eastern coast — a mission that marks the first integrated “satellite–rocket–vessel–application” breakthrough.

股票市场效率无法像博彩市场那样直接验证，因为股票不存在固定揭晓时间，真实价值始终取决于未来现金流，因此金融学始终存在Joint Hypothesis Problem：任何异常收益都无法证明市场无效，因为也可能只是定价模型本身错误。同时作者区分了“Prices are Right”和“No Free Lunch”两个概念，价格存在偏离，并不意味着能够稳定套利，因为套利成本可能高于错误定价本身。 连续双向竞价（Continuous Double Auction）本身就是市场效率的重要来源。Hayek、Vernon Smith以及Zero-Intelligence Trader研究共同说明，即便参与者并不聪明，只要交易机制合理，市场仍能快速逼近有效价格。因此市场制度的重要性甚至可能超过市场参与者本身的能力。 股票市场真正进入“群体疯狂”的根源，是认知多样性的崩塌。当投资者逐渐形成相同叙事、相同时间框架以及相同交易规则时，市场开始偏离价值。长期投资者倾向于围绕现金流定价，而短周期投资者更容易外推近期价格，因此实验中短周期市场持续形成泡沫。Narrative进一步强化这种过程，使情绪、故事与价格互相反馈，最终形成Boom或Bust，而这种崩塌往往呈现非线性，一点点认知收敛即可引发巨大价格波动。 Michael Mauboussin最终给出的交易框架可以浓缩为一句话：市场绝大多数时间体现的是群体智慧，因此价格通常有效；真正值得交易的机会来自群体智慧失效之后的群体疯狂。交易员真正需要监测的并非价格本身，而是认知多样性是否正在消失。 实践中，极端情绪（Sentiment）、剧烈价格运动（Major Price Move）以及极端估值（Extreme Valuation）同时出现，是认知多样性崩塌最常见的表现，也是市场最容易出现重大反转和超额收益机会的位置。

开发系统最极致高效的Agents.md，没有之一： # AGENTS.md ## Core Principles - Choose the simplest implementation that fully satisfies the current requirements. Avoid unnecessary abstraction, configuration, indirection, or speculative extensibility. - Make the smallest necessary change that fixes the root cause. Do not refactor unrelated modules or change strategy semantics unless explicitly requested. - Grow the system in layers. Start from the smallest working end-to-end version and add new capabilities incrementally. Never replace a working system with unfinished complexity. - Reuse existing project components before creating new ones. Prefer extending proven modules over introducing parallel implementations. - Prefer well-maintained libraries when they reduce overall complexity or improve reliability. Do not reimplement common functionality without a clear benefit. - Keep components modular with clearly defined responsibilities. Avoid unnecessary coupling between strategy logic, execution, accounting, replay, and infrastructure. - Design for long-term maintainability once a feature or strategy has been validated. Do not over-engineer speculative ideas before evidence exists. --- ## Strategy Development - Validate hypotheses with historical replay before introducing forward-only logic whenever historical validation is possible. - Every trading strategy must progress through Replay → Shadow → Canary → Live. Do not skip validation stages. - Base design decisions on measurable evidence rather than intuition. Optimize only after demonstrating that an edge exists. - Treat every strategy as an independent contract. Do not silently alter frozen behavior without explicit authorization. --- ## Existing Systems - Do not break running Shadow or Live systems for unrelated work. - Preserve compatibility only when required by active production or validation workflows. Otherwise, remove obsolete code instead of accumulating compatibility layers. - Reuse existing infrastructure whenever possible, including replay engines, accounting, execution, wallet management, order book handling, logging, monitoring, and daemon frameworks. --- ## Engineering Standards - Prefer deterministic behavior over hidden automation. - Fail loudly when assumptions are violated. Do not silently ignore errors or fall back to unexpected behavior. - Keep configuration minimal. Introduce new configuration only when behavior genuinely needs to vary. - Remove dead code instead of leaving unused paths behind. - Write code that is easy to inspect, replay, test, and reason about. - Keep implementation consistent with existing project architecture unless an architectural change is explicitly requested. --- ## Scope Discipline - Implement only the requested scope. - Do not introduce unrelated optimizations, redesigns, migrations, or feature expansions. - Non-blocking findings outside the requested scope may be noted separately but must not be merged into the current task. - Consider a task complete once its agreed acceptance criteria are satisfied. Treat subsequent improvements as separate work items.

哇，这么猛的吗？！ 一个地址在过去半小时里，从 #OKX# 提了 244 万 U 转进 Hyperliquid，然后直接开空了价值 $1.02 亿的 bitcoin:native ！ 他直接 40x 杠杆拉满了，开空价 $64,202，清算价 $64,889。清算价距离现价只有 $900 刀。 一上来就这么激进的杠杆...这么大的仓位...是真的有点生猛。 地址：

Hot take… isn’t it kinda crazy that nobody is really using AI Agents? I don’t mean software engineers or AI early adopters. I mean “college friends talking about it in group chat,” the feeling you got when everyone started using Instagram or TikTok. These frontier AI models are *insane* (as are the harnesses & tool calls & the like). And every large tech co has an AI agents platform, not to mention all the YC startups doing vertical agents. Yet all of your friends and family outside of tech — who spend all day staring at their iPhones and get paid to work in browser tabs — don’t really care or find themselves using any AI agents yet. Yes ChatGPT, Claude, etc. are extremely popular… but if you look at the engagement data the vast majority of people are still using these aI chat tools like a glorified Google + Grammarly. That’s why the AGI labs are all pushing desktop apps for Codex, Cowork, etc. so hard to non-technical ppl. And yes exceptions for lawyers and customer service but even those have some asterisks and exceptions to rule. Look I’m not saying the ChatGPT moment for AI Agents is not coming… it most definitely is! Remember we pivoted from Arc to Dia precisely because we believe computing is going to be radically reimagined around these AI primitives. No doubt. But that’s my point: it’s just so surprising it hasn’t happened yet because all of the tech you’d need is there. Again if you stop for a second and think about it… for all the press and money and hype and models and crazy ARR numbers… this “AI Agent” moment does not *feel* like the other breakthrough tech moments we’ve lived through (e.g. think the shift to Stories via Snapchat & Instagram, or shift to on-demand via Uber/Airbnb/Doordash). Which is a long way of saying: if you can figure out the answer to “why” most people don’t care about AI agents yet (and have no enduring interest in using them) — especially since the models and harnesses are here and ready — the answer to that question will allow you to capture a lot of marketshare and make a lot of money in 2027. Theoretically, the tech is ready for AI Agents to totally transform how we work and live our lives… but alas the general public dgaf… that’s the generational puzzle to solve for the next 12 months for anyone not working on the models themselves.

喜欢宇树机器人的兄弟们有福了。 Hyperliquid 已经上线宇树合约，$UNITREE 开盘 $75，现在 $66 附近。 按总股本 40,446 万股算，当前市值约 267 亿美元，1800 亿人民币。 市场预估 IPO 价 104 元，这么看还有 4 倍空间。 长鑫已经给过答案了，现在链上盘前基本符合趋势，等一个低点冲进去！

疑似 a16z 的两个地址，在 8 小时前把 97.9 万枚 $HYPE ($5353 万) 转进 Hyperliquid 然后进行了质押。 机构暂时不卖了，是不是得反弹下了？ 地址： -------------------------------------------------------------------------- #Bitget# 来了就是VIP！Crypto、美股、CFD，全球先机一站布局

ROUND 2 of the BattleBots Pro League Group Phase… - Can James and Copperhead keep rolling? - Can Tombstone terminate newcomer Disarray? - And with Bloodsport or HyperShock rebound? FREE worldwide tomorrow on YouTube. Powered by Bright Data.