比特币现货ETF批准后5天的行情解读及后续看法

Odaily星球日报Опубліковано о 2024-01-15Востаннє оновлено о 2024-01-15

Анотація

下跌会是最后上车的机会吗?

原创 | Odaily星球日报

作者 | 夫如何

比特币现货ETF批准后5天的行情解读及后续看法

比特币现货 ETF 批准已有 5 天,但比特币的价格并没有如预期般上涨,反而不断下跌,甚至跌破 42000 USDT。

欧易 OKX 行情显示,过去的 5 天,BTC 从 48988 USDT 最低下跌至 41340 USDT 后反弹;截至发稿,BTC 暂报 42636.7 USDT, 24 小时跌幅 0.63% 。

山寨币在比特币 ETF 批准后,价格普遍上涨超过 10% 。其中,ETH 从 2450 USDT 一度上涨超过 2700 USDT,ETH/BTC 汇率一度上升至 0.061 创近 3 个月新高,社区戏称「SEC 通过的是 ETH ETF」,目前 ETH 回落至 2530 USDT。ETH 的走强,来带着以太坊生态 OP、ARB 也在过去一周价格飙升,双双创下历史新高。此外,TIA 持续走强,不断续创新高,目前暂报 20.1 USDT。

Coinglass 数据显示,过去 24 小时全网爆仓 1.17 亿美元,其中多单爆仓 8210.41 万美元,空单爆仓 3453.08 万美元;从币种来看,BTC 爆仓 2841.5 万美元,ETH 爆仓 2383.72 万美元。目前全网 BTC 期权未平仓头寸的名义价值为 140.5 亿美元,ETH 期权未平仓头寸的名义价值为 75.4 亿美元。

比特币现货ETF批准后5天的行情解读及后续看法

利好落地+灰度砸盘,市场重新洗牌

比特币现货 ETF 批准后,BTC 价格不涨下降,原因有两种:

一是利好落地。从 2023 年 10 月开始,现货 ETF 不断传出即将批准的利好,推动 BTC 价格从 27000 USDT 最高涨至 48988 USDT,特别是经历「CT 假新闻」、「SEC 官推被盗」两个假消息后,市场潜力已经被消耗,上涨动力不足。

二是灰度 GBTC 的抛售。灰度的比特币现货 ETF 批准后,GBTC 折价在批准后第二天收窄至 1.9% ,随后灰度向 Coinbase Prime 转移 4000 枚 BTC,或将进行 ETF 赎回活动。后经统计,灰度 GBTC 在两天内流出近 5.79 亿美元。抛压的增大是比特币价格下跌的原因之一。

Robinhood 首席经纪官 Steve Quirk 评价称,大部分 GBTC 卖家将资金投入到了其他比特币现货 ETF。SkyBridge Capital 创始人 Anthony Scaramucci 认为自现货比特币 ETF 获批并开始上市交易之后,比特币价格出现了下跌,造成这种情况的部分原因是 GBTC 抛售。

不过,根据加密资产基金管理公司 EMC Labs 的监测发现,比特币现货 ETF 批准后,比特币面临着 1 年来的最大抛压。但通过下述的相关数据来看,比特币的买方力量完全承接卖方的抛压,后续比特币价格或将出现转机。以下是 EMC 监测的数据标本:

  • GBTC 前两交易日净流出 5.79 亿美金,其他 ETF 净流入 8.19 亿美金;整体净流入 2.4 亿美金;

  • 10-12 日,BTC 连续 3 日创 12 个月最大单日 CEX 存入量,累计超 30 万枚比特币;但是,这几天提出量同步放大,最终净存入只有 1.6 万枚;

  • 13-14 日,BTC 存入量快速下跌至 5.8 万枚,而提出量同步增加,CEX 比特币净流出 2 万枚;所以 10-14 日,反而是净流出状态,可以视为买方顶住了抛压;

  • CEX 里 10-14 日累积了 33-36 亿美金的 Buying Power,这股买方力量并未削减。这个指标是比特币/ETH 净存入/流入和稳定币在 CEX 净值的一个比较;

  • 稳定币铸造过去一周新增 17 亿美金,加上 1 月份第一周的 21 亿美金,新增 38 亿美金。外部资金进入速度保持在过去 3 个月的高位。

综上,比特币目前处于洗盘状态,卖方和买方正在进行全新的调整,调整后似乎才是启航的开始。

下跌会是最后上车的机会吗?

正如 Bitwise 首席投资官 Matt Hougan 所言,市场高估比特币现货 ETF 的短期影响,但也低估 ETF 的长期影响。

比特币现货 ETF 批准不代表比特币立刻会涌入大量资金,这仅仅只是将比特币的购买渠道增多,吸引传统金融的人更方便的参与比特币买卖。 但仅仅过了两天,九家发行机构已经吸收了 14 亿美元的资金,超过 GBTC 5.79 亿美元的流出,净流入总额 8.19 亿美元。贝莱德以 5 亿美元领先,富达紧随其后。

资金的涌入以及选择是需要长时间的布局,短期内的洗盘现象也是正常显现,从批准前后的 BTC 交易量来看,已连续 4 天维持在 400 亿美元。这表示价格虽然在下跌,但交易量的增长,代表市场的交易行为正逐渐增多。

大多数机构也对未来的加密世界持有积极的看法。

21 Shares 总裁兼联合创始人 Ophelia Snyder 表示,像 ETF 这种更广泛的比特币准入通道对市场产生的影响“不可低估”。Matrixport COO Cynthia Wu 在 2024 年的预测中提到,现货 ETF 将为加密市场带来 500-1000 亿美元新增资金。

Coinbase 表示,现货 ETF 获批是加密经济扩张的分水岭。由全球最大的资产管理公司推出的各种比特币现货 ETF 将吸引多元化的新投资者,刺激长期增长和产品创新。同时,这代表全球向数字资产转变的最新一步,有助于推动金融体系本身的革新。现货 ETF 获批为投资者提供一种方便且熟悉的方式来获取现货加密货币,ETF 将为数百万新投资者提供加密货币敞口,并进一步巩固其作为主流资产的地位。

虽然比特币价格在短期内面临着下跌情况,但这可能也是大多数最后上车的机会。

Odaily星球日报提醒,近期行情波动较大,请谨慎投资,提高风险意识。

Пов'язані матеріали

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.

marsbit2 год тому

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

marsbit2 год тому

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.

marsbit5 год тому

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

marsbit5 год тому

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.

marsbit8 год тому

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

marsbit8 год тому

Торгівля

Спот
Ф'ючерси
活动图片