SignalPlus波动率专栏(20240115):BTC或遭受抛压,IV再度走高

Odaily星球日报Published on 2024-01-15Last updated on 2024-01-15

Abstract

数字货币方面,BTC价格于12~13日再度走跌约8%并一度下探42000美元关口,现在维持在43000下方震荡。

SignalPlus波动率专栏(20240115):BTC或遭受抛压,IV再度走高

SignalPlus波动率专栏(20240115):BTC或遭受抛压,IV再度走高

上周五(12 JAN)美国 PPI 意外走软引发了美债收益率的短线跳水,其中两年期下破 4.2% 后在低位小幅震荡,现报 4.146% ,十年期一度降至 3.93% 附近后在这几日逐渐收复失地,报 3.974% 。美国三大股指涨跌不一,道指下跌 0.31% ,标普和纳指接近平收(+ 0.08% /+ 0.017% )。

SignalPlus波动率专栏(20240115):BTC或遭受抛压,IV再度走高

Source: SignalPlus, Economic Calendar

数字货币方面,BTC 价格于 12 ~ 13 日再度走跌约 8% 并一度下探 42000 美元关口,现在维持在 43000 下方震荡。分析指出,继 ETF 获批后,GBTC 的成交额以超过总量一半的水平高居榜首,从数据上看,GrayScale 在成功将其从信托转为 ETF 后,曾经一度达到 50% 的负溢价的正逐渐消失,且其高达 1.5% 的高昂管理费用更让人有理由相信持有者会有将其出售或转换成其他 ETF 的意愿,但从 Arkham 的数据中我们看到,当前灰度 BTC 持仓高达 266 亿美金,近几日流出的资金约为 16.7 亿美元,这就意味着灰度或许并没有因为客户持续卖出 GBTC 而紧跟着大量抛售 BTC,尽管同时也有人指出 Arkham 统计的地址可能不够全面,但一如加密货币 KOL Neuner 说的,“ 250 亿美元是一个相当大的数字,即使只有 20% 被赎回,那也意味市场上将有 50 亿美元的成交额”,比特币“可能会面临一段时间的抛压”。

期权方面,随着工作日的到来,隐含波动率曲线前端大幅走高,BTC 近两周的 IV 基本都在 55% ~ 60% ,ETH 曲线相对较陡,中远期仍与 BTC 存在较高的溢价。Vol Skew 仍处在过去三个月的较低位置。

成交方面相对平淡,BTC 中远期 50000-C 仍是买入热点,截止目前该行权价上已有累计 23, 110 BTC 的 OI,远高于其他点位。

SignalPlus波动率专栏(20240115):BTC或遭受抛压,IV再度走高

Source: Bloomberg, ETF 管理费用对比

SignalPlus波动率专栏(20240115):BTC或遭受抛压,IV再度走高

Source: Arkham,灰度持仓变化

SignalPlus波动率专栏(20240115):BTC或遭受抛压,IV再度走高

Source: Binance & TradingView

SignalPlus波动率专栏(20240115):BTC或遭受抛压,IV再度走高

Source: Deribit (截至 15 JAN 16: 00 UTC+ 8)

SignalPlus波动率专栏(20240115):BTC或遭受抛压,IV再度走高

Source: SignalPlus

SignalPlus波动率专栏(20240115):BTC或遭受抛压,IV再度走高

Source: SignalPlus

SignalPlus波动率专栏(20240115):BTC或遭受抛压,IV再度走高

Source: Laevitas

SignalPlus波动率专栏(20240115):BTC或遭受抛压,IV再度走高

Source: Deribit Block Trade

SignalPlus波动率专栏(20240115):BTC或遭受抛压,IV再度走高

Source: Deribit Block Trade

SignalPlus波动率专栏(20240115):BTC或遭受抛压,IV再度走高

您可在 ChatGPT 4.0 的 Plugin Store 搜索 SignalPlus ,获取实时加密资讯。如果想即时收到我们的更新,欢迎关注我们的推特账号@SignalPlus_Web3 ,或者加入我们的微信群(添加小助手微信:xdengalin)、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

Related Reads

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

NVIDIA is set to launch its new Vera AI data center CPU in China as early as August, with high pricing. While this move offers a new option, it highlights China's continued dependence on foreign-controlled Arm architecture. In response, the Chinese semiconductor industry is increasingly turning to RISC-V as a strategic alternative for achieving high-performance computing autonomy. The article explores the concept of the "impossible triangle" in CPU development—balancing prosperity, control, and autonomy—and posits that RISC-V's open-source, modular nature offers a unique path to achieving all three. While RISC-V is already dominant in embedded systems, the focus is now shifting to data centers and AI workloads. China has become a global hotspot for RISC-V development, driven by AI-driven compute demand, supply chain concerns from export controls, cost benefits of open-source, and strong policy support. Multiple Chinese companies have reportedly crossed the key performance threshold of 15 SPECint per GHz, a benchmark for entering the high-performance CPU club. Progress extends beyond single-core benchmarks. Companies are developing complete computing subsystems, including commercial-grade coherent network-on-chip (NoC) technology and server processors with up to 40 cores that strictly adhere to the RVA23 standard to ensure software compatibility. Real-world applications are emerging in areas like video transcoding and edge AI. However, significant challenges remain. The RISC-V ecosystem faces fragmentation, immature toolchains and verification processes, and gaps in single-core performance and energy efficiency compared to mature x86 and Arm architectures. The formidable software moat, epitomized by NVIDIA's CUDA, is a long-term hurdle. In conclusion, while RISC-V cannot immediately replace offerings like NVIDIA's Vera, it represents a viable long-term path for China to develop a self-sufficient, high-performance CPU ecosystem. The journey is acknowledged to be long and arduous, requiring sustained effort to overcome technical and ecosystem challenges.

marsbit1h ago

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

marsbit1h ago

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

The author built a custom monitoring dashboard for Polymarket, a prediction market platform, and tested it with $1,600, achieving over 30% returns. However, the core argument is that Polymarket is not a good venue for traditional arbitrage. The dashboard has two main sections: a "Portfolio Dashboard" for tracking active positions with key metrics like total capital, P&L, and a risk-control module using a tier system (T1, T2, T3), and an "Opportunity Watchlist" for monitoring markets. The article details a critical structural trap in binary markets: a bet with a high perceived probability of success still carries a 100% loss risk if wrong. The author's T1/T2/T3 system is designed to manage this by limiting position sizes based on conviction and time horizon, emphasizing that high confidence should not equal high concentration. A key insight is the danger of "pseudo-diversification"—betting on different markets driven by the same underlying variable. The author concludes that Polymarket offers few true low-risk, arbitrage opportunities. It is instead a high-risk environment where wins can create a false sense of mastery, leading to large losses. The platform is better viewed as a training ground for honing judgment through disciplined, framework-driven betting rather than a reliable income source. The tools help transform intuition into structured, rule-based decisions to mitigate the risk of catastrophic errors.

marsbit4h ago

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

marsbit4h ago

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

**"WeChat AI Card" Practical Test Guide: Has the Era of AI Shopping Arrived?** WeChat has officially launched the "AI Exclusive Card," a feature integrated into its Workbuddy AI assistant. This card is designed to handle payments for AI-initiated purchases. Our hands-on test reveals it's not yet a tool for fully autonomous AI shopping, but rather a controlled payment layer for AI agents. The AI Card functions as an isolated sub-wallet within WeChat Pay. Users must bind the card and transfer funds into it from their main wallet. Crucially, every transaction requires explicit user confirmation via smartphone scan; AI cannot spend autonomously. Currently accessible through the Workbuddy agent, the card targets specific digital consumption scenarios: purchasing paid content (reports, data), calling paid APIs/tools, and subscribing to services. Its design prioritizes security and control by separating funds and mandating approval for each payment. We tested a real-world scenario: ordering bubble tea via Workbuddy using a "Meituan Life Assistant" skill. The process encountered multiple hurdles: high "skill" usage costs (exceeding daily free credits), and most importantly, while a payment was successfully initiated, the AI purchased an incorrect product (a mismatched group-buy coupon instead of the desired drink). This highlights the current limitation: the **AI Card only solves the payment step**. The broader challenge lies in the **AI agent's execution chain**—accurately understanding intent, navigating third-party platforms, selecting the right product, and ensuring proper fulfillment. The payment succeeded, but the purchase failed to meet the user's need. In conclusion, the WeChat AI Exclusive Card is a cautious, early-step experiment in AI commerce. It provides a secure, user-controlled payment method for agent interactions but is not yet capable of reliable, end-to-end complex purchases. For now, it's best used for low-value, low-risk digital services with careful user verification at each step. The vision of AI handling complete shopping tasks remains a work in progress.

marsbit7h ago

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

marsbit7h ago

Trading

Spot
Futures
活动图片