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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。

Is the AI boom facing its first major credit market warning sign? ⚠️📉 NVIDIA’s 5-year Credit Default Swaps (CDS) surged to a record high of 82 basis points as market concerns mount over massive $750B+ AI infrastructure commitments and vendor financing loops. The latest KuCoin blog breaks down what this credit risk spike means for tech equities and the crypto market: 📉 Credit Default Swaps Surge: Five-year CDS on NVIDIA debt hit a record high of 82 bps—its largest single-day jump—as credit markets aggressively reprice contingent liabilities. 💼 The $750B AI Web: Massive deals including a $500B+ partnership with SK Group and a potential $250B financing backstop for OpenAI are raising concerns over balance sheet complexity. 🔄 Circular Financing Fears: Credit markets are questioning vendor financing feedback loops, where chip demand is partially supported by the supplier's own capital commitments. ⚡ Crypto Market Spillover: As high-beta risk assets, digital assets continue to show tight correlation with technology risk sentiment, reacting directly to credit market signals from the AI complex. Are we seeing the early warning signs of an AI capital bubble, or is this just near-term noise? Read the full analysis here:

Everything was calm… until BOOM. #DJIAvata360# captures the exact moment the volcano wakes up. ⚠️ Filmed by professionals. Do not attempt. 🎥: sebastian_schieren, irvingca #DJI# #Drone#

With its output among the nation's best and orders booked through 2030, Yangzijiang Shipbuilding, located in Jingjiang, Taizhou city, Jiangsu province, is showing the speed, strength and innovation behind China's shipbuilding boom🚢.

Jensen Huang revealed who will run the next decade of the AI race. Here's everything you need to know: Technical intelligence is becoming a commodity. Think about how crazy that sounds coming from the CEO of Nvidia. The company powering the entire AI boom. Jensen said everyone used to think software programming was the ultimate smart profession. AI is automating programming itself. So his definition of "smart" has changed completely. The people who will dominate the next decade are the ones who can: → Combine technical skill with human empathy → Read unspoken signals → Sense problems before they appear → Understand people, not just systems → See around corners Most people still think the future belongs purely to raw IQ and technical ability. Jensen is saying the opposite. As AI improves, the most valuable humans become the ones who can do what machines still struggle with: → Taste → Intuition → Judgment → Leadership → Emotional intelligence He even said the smartest person in the future might score horribly on the SAT. That is a massive mindset shift. The person who wins in the AI era will be the one who's deeply human.