SignalPlus波动率专栏(20240806):黑色星期一

Odaily星球日报Pubblicato 2024-08-06Pubblicato ultima volta 2024-08-06

Introduzione

上周美国非农和以制造业指数为代表的疲弱经济数据引发市场对经济放缓的担忧仍在蔓延。市场的抛售情绪也由传统市场蔓延到了数字货币。

SignalPlus波动率专栏(20240806):黑色星期一

SignalPlus波动率专栏(20240806):黑色星期一

上周美国非农和以制造业指数为代表的疲弱经济数据引发市场对经济放缓的担忧仍在蔓延,全球资产遭受“黑色星期一”带来的抛压。美元对日元汇率一度跌破 142 ,回吐过去一年来的几乎所有涨幅。日本,韩国,土耳其股指触发熔断机制。美股三大指数均收跌在 3% 左右,“七巨头”开盘便蒸发 1.3 万亿美元的市值,期货市场完全定价美联储 9 月将降息 50 个基点,两年期美债收益率于盘中一度结束与 10 年期的倒挂,现报 3.957% 。

SignalPlus波动率专栏(20240806):黑色星期一

Source: TradingView

市场的抛售情绪也由传统市场蔓延到了数字货币。作为与 SP 500 高度相关的风险资产,BTC 于昨日一度暴跌至五万美元下方,引发了市场的恐慌情绪,短期 IV 冲上三位数区间,流动性出现挤兑,Vol Skew 也随着价格一同下跌,Wing 上的需求暴增导致 Fly 的估值快速上扬。

但随着价格逐步反弹回到 55000 美元,期权市场的流动性逐步回归,IV 下行逃离了局部高点,尾部高昂 Vol Premium 也被重新定价,Fly 整体走低。对 Vol Skew 来说,尽管前端的负斜率轻微反弹,但更需要关注的变化是远端 Vol Skew 的进一步大幅下跌,事实上,昨日价格暴跌的时候只有前端做出了反应,流动性较差的远端 Risky 直到今天才被重新矫正了定价。

SignalPlus波动率专栏(20240806):黑色星期一

Source: Deribit (截至 6 AUG 16: 00 UTC+ 8)

SignalPlus波动率专栏(20240806):黑色星期一

Source: SignalPlus,ATM Vol

SignalPlus波动率专栏(20240806):黑色星期一

Source: SignalPlus, 25 dRR,远端 Vol Skew 被重新定价

SignalPlus波动率专栏(20240806):黑色星期一

Source: SignalPlus, 25 dFly

SignalPlus波动率专栏(20240806):黑色星期一

Data Source: Deribit, ETH 交易总体分布

SignalPlus波动率专栏(20240806):黑色星期一

Data Source: Deribit,BTC 交易总体分布

SignalPlus波动率专栏(20240806):黑色星期一

Source: Deribit Block Trade

SignalPlus波动率专栏(20240806):黑色星期一

Source: Deribit Block Trade

SignalPlus波动率专栏(20240806):黑色星期一

您可在 t.signalplus.com 使用 SignalPlus 交易风向标功能,获取更多实时加密资讯。如果想即时收到我们的更新,欢迎关注我们的推特账号@SignalPlusCN,或者加入我们的微信群(添加小助手微信:SignalPlus 123)、Telegram 群以及 Discord 社群,和更多朋友一起交流互动。SignalPlus Official Website:https://www.signalplus.com

Letture associate

Beyond the Model Lies the Harness: Deepseek Enters the Arena, Why Has the Main Battlefield of China's AI Competition Shifted?

In mid-to-late May 2026, Deepseek internally established a new Harness team focused on code agent products, internally benchmarked against Anthropic's Claude Code. This move, marked by the formula "Model + Harness = Agent" in their job postings, signals a major shift in China's AI competition: the main battlefield is transitioning from developing large models to building toolchains and achieving workplace integration. Deepseek's direct involvement in Harness development aims to secure control over interface design and training data feedback loops, moving beyond open-sourcing powerful models. Harness, the runtime infrastructure for AI agents, handles everything beyond model reasoning—task orchestration, tool calling, context management, safety checks, and error recovery. It is crucial because agent products are not just outputs of model capability but also training grounds for it. Real-world task failures recorded by Harness can feed back into model training, creating a flywheel effect. Engineering Harness is more critical than optimizing prompts, as poor context management or error handling can drastically reduce agent success rates in multi-step, real-world scenarios. This shift is not isolated. Other major Chinese tech companies are also pursuing differentiated toolchain strategies. Tencent leverages its enterprise ecosystem (WeChat Work, Tencent Cloud) to build connectors for organizational-level AI collaboration and complex task delivery. Alibaba focuses on lowering automation barriers on the web with a front-end, browser-based GUI Agent framework, PageAgent. This diversification shows the industry recognizes that success lies not in a perfect general agent, but in vertically focused solutions built with robust engineering. The trend is validated by overseas success, such as Poland's Viktor, an AI coworker on Slack achieving $20M ARR by autonomously executing complex, multi-step tasks. This proves a shift in enterprise willingness to pay—from "AI-assisted generation" to "AI-autonomous execution." As Harness matures to provide safety guards and reliability, AI transitions from a human-supervised intern to an independent outsourcer. The competition now faces key engineering challenges: preventing "token explosion" through intelligent context compression, and building "thick frameworks" with features like sandbox isolation and checkpoint recovery for enterprise-grade stability. Geopolitical restrictions on tools like Claude Code further create a significant market vacuum for domestic solutions like Deepseek's Harness. For enterprises and developers, the focus must shift from comparing model benchmarks to evaluating a vendor's engineering capabilities, error recovery mechanisms, context management, and ecosystem compatibility when choosing AI products and platforms.

marsbit54 min fa

Beyond the Model Lies the Harness: Deepseek Enters the Arena, Why Has the Main Battlefield of China's AI Competition Shifted?

marsbit54 min fa

Soaring Export Data for Memory Chips, Market Is Redefining the Valuation Anchor for Memory Stocks

Korean storage export data for the first 20 days of June shows substantial year-on-year increases in both value and price-per-kilogram for categories like DRAM, NAND, and SSDs. This signals a potential shift beyond simple demand recovery, indicating rising prices and a product mix shift towards higher-value items, possibly influenced by AI infrastructure needs. A key point is that the surge in price-per-kilogram is not simply a uniform chip price hike. It reflects a combination of actual price increases and, more importantly, an export structure increasingly dominated by high-value-density products like HBM (High-Bandwidth Memory) and advanced DRAM, which are critical for AI servers. This suggests AI-driven demand may be spilling over from just HBM into broader memory markets. SK Hynix stands to benefit directly due to its leading HBM position. For Samsung and Micron, the implication is potential for greater margin elasticity if the tightness in high-end memory spreads to enterprise SSD and NAND prices. However, the storage sector remains cyclical. Risks include supply expansion, inventory changes, and potential slowdowns in broader AI capital expenditure. Ultimately, while the strong export data supports upward revisions for storage company earnings and fuels discussion of an "AI infrastructure bottleneck premium," a definitive valuation shift from a cyclical to a structural story depends on upcoming quarterly reports. Investors need confirmation from SK Hynix, Samsung, and Micron that improvements in average selling prices, product mix, and, crucially,毛利率 are sustained over multiple quarters.

marsbit2 h fa

Soaring Export Data for Memory Chips, Market Is Redefining the Valuation Anchor for Memory Stocks

marsbit2 h fa

Trading

Spot
Futures
活动图片