PSE Trading:BTC现货ETF通过后, 下个叙事是什么?

Odaily星球日报Publicado a 2024-01-16Actualizado a 2024-01-16

Resumen

强劲的经济增长和比特币的使用增加的情景相结合,为比特币的价值提升创造了有利的环境。

原文作者:PSE Trading Trader @MacroFang

PSE Trading:BTC现货ETF通过后, 下个叙事是什么?

这一重大决定意味着美国证券交易委员会(SEC)与基金经理们 (Blackrock,Vanguard 等)之间长期僵持结束。这也代表着加密货币行业的胜利。SEC 引用了去年的法院判决,即拒绝现货 ETF 与批准期货 ETF 不一致,澄清这并非对加密货币的背书,因为涉及多项固有风险。该批准引起了混合反应,尽管整个加密货币市场经历了一场涨势,但比特币的表现却落后于以太坊。这与首次推出黄金 ETF 时的商品价格行动相似。尽管得到了开创性的批准,但其他加密货币的 ETF 仍有待解答的问题。分析这个批准对比特币流入意味着什么,以及它在投资组合中可能的作用至关重要。这个批准为巨大的潜在市场敞开了大门。

PSE Trading:BTC现货ETF通过后, 下个叙事是什么?

SEC officially grants spot Bitcoin ETF approval following strong rally in Q4’ 23 

批准后交易急剧增加

SEC 的批准导致 11 个现货比特币 ETF 的推出,交易立即开始。仅第一天就见证了超过 20 亿美元的交易。决策的期待导致了比特币期货和现货的交易量增加,同时还出现了交易所交易产品流入的激增。这突显了市场的渴望,尽管比特币表现不佳,但整体而言仍在大幅上涨。加密货币市场正在热切期待其他加密货币的 ETF 推出。

PSE Trading:BTC现货ETF通过后, 下个叙事是什么?

Bitcoin volumes are clearly trending higher vs. Q3’ 23, but remain below 2021 – 2022 averages

加密货币分配:资产管理人快速购买 BTC 进行投资组合

批准后,比特币可能在投资组合中的地位将更加突出。然而,广泛包含在投资组合中仍是一个遥远的现实。ETF 批准方便了大型金融机构使用比特币。但为了这项新兴技术能够完全成熟,还需要更广泛的应用。人们对于为去中心化资产发行中心化投资工具的推出充满期待。随着加密货币市场的不断发展,它可能仍然是一个周期性的资产,很大程度上受到风险情绪的影响。

PSE Trading:BTC现货ETF通过后, 下个叙事是什么?

Asset managers have continued buying BTC at a fast pace, and open interest has also risen sharply

尽管 SEC 已经批准,但比特币在投资组合中的广泛包含仍需时日。虽然批准扩大了比特币的潜在市场,但大规模冲进这个资产类别是不太可能的。财务顾问需要对 ETF 工具和加密货币作为一种资产类别进行广泛的尽职调查。比特币的周期性,以及它由于高额股权和弱势美元(低利率)而受益的倾向,也削弱了“数字黄金”的叙述。比特币的采取和使用以及其与传统金融服务的整合将继续成为关注的焦点。在我们看来,这个行业最实用的方面是区块链技术的基本用例。

2024 展望:看涨 ETH

PSE Trading:BTC现货ETF通过后, 下个叙事是什么?

像最初的黄金 ETF 推出一样,BTC 在表现上落后于 ETH,尽管整体上加密货币表现良好。在新年的第一周里,出版了一篇研究报告,列举了 SEC 不太可能批准现货 ETF 的原因,此后加密货币大幅抛售(见图 6)。许多人视为加密货币事件的“经典”串联中,推动市场的下一条新闻来自 SEC 在 X(原 Twitter)上的账户,发布了已经获得现货 ETF 批准的消息。

PSE Trading:BTC现货ETF通过后, 下个叙事是什么?

然而,SEC 的人员很快出面反驳这个说法,声称委员会的账户已经被破坏,但在不到 24 小时后,他们再次出来确认黑客发布的信息。在最初的“错误”帖子发布的几天之内,虽然比特币的表现大大落后于以太坊,但加密货币已经开始反弹。

PSE Trading:BTC现货ETF通过后, 下个叙事是什么?

Crypto price action similar to precious metals near launch of gold ETF

这种价格行动类似于 2004 年首次推出黄金 ETF 时贵金属的情况 — 尽管后者的时间表更长 — 我们在这里进行过比较。在我们看来,加密货币市场已经转向下一个叙事,ETH 比 BTC 上涨更多,可能是因为期待加密货币的第二大代币也可能获得 ETF 批准。因此,我们将密切关注 ETH 流入的进度,以及与 BTC 相比,大型 altcoin 的情况,并在尘埃落定后,我们的双周报告中深入研究新的 ETF 流入和流动性。

2024 年宏观展望:经济对比特币的利好

科技股利润回吐:黄金开局

年初,科技股股东开始实现利润,他们推迟了销售,直到 2024 年才开始回避在 2023 年产生的资本利得税。我们的团队处理的投资组合交易中可以看到这种趋势。

PSE Trading:BTC现货ETF通过后, 下个叙事是什么?

NASDAQ Bounced off October-23 lows

较好的经济数据:对联邦利率 hike 保持中立

上周目睹了大量数据的涌入,为市场讲述了一个积极的故事。经济正在以稳定的“金洛克斯”速度前进,既不强劲到需要联邦储备(Fed)实施紧缩政策,也不弱到触发利润放缓。在强劲的失业申请和有利的劳动市场报告中,经济增长的迹象令人鼓舞。尽管报告的结果积极,但是工作时间的小幅下降稍微抵消了实际影响,这意味着总工作时间的下降。

市场反应与通胀

市场对预期中的平均小时工资略高的反应,导致了一开始的债券抛售。工资上涨通常被误认为是通胀的标志。实际上,工资和通胀之间的差距代表了生产力的增长,这一点非常强劲。预计的通胀压力可能会受到中东冲突以及可能影响通过红海的货船的影响。尽管有这些担忧,但石油行业以外的影响微乎其微,其他商品保持稳定或下降。上周发布的消费者价格指数(CPI)和生产者价格指数(PPI)报告显示,通胀主要与预期一致 — — 我们正在看到降温的迹象。

PSE Trading:BTC现货ETF通过后, 下个叙事是什么?

US CPI

利率削减与持续增长

接下来的焦点是联邦储备对利率削减的政策。十二月联储公开市场委员会(FOMC)的会议突出了鲍威尔主席在经济疲软时对利率削减的灵活性。如果实际经济增长保持强劲,联储可能会维持利率,从而导致强劲的股票市场。由于鲍威尔的灵活性,经济衰退的可能性较低,持续增长或软着陆的机会较高。

市场前景和比特币优势

对于 2024 年,预计标准普尔 500 指数将有 8 – 10% 的增长,预计小市值股票将升值约 15% 。2024 年以后的债券市场的长期前景指向将联邦基金利率稳定在 3% — 3.5% ,并有正面的 50 – 75 个基点的期限溢价。

PSE Trading:BTC现货ETF通过后, 下个叙事是什么?

SPX

市场趋势与比特币的潜在优势结合起来,这种加密货币可能会看到显著的升值。经济增长可能推动比特币的使用和价值的提高,因为更多的企业和个人将其用于交易。除了作为一种独立的资产,比特币作为传统法定货币的替代品的潜力也可以大大从持续的经济增长中受益。随着对比特币的教育和认知的提高,其接受度和对经济增长作出有意义的贡献的潜力也会提高。随着越来越多的人接受并使用比特币,这种数字货币的价值就会进一步提高,从而导致更广泛的使用和更大的整合到主流经济市场。因此,强劲的经济增长和比特币的使用增加的情景相结合,为比特币的价值提升创造了有利的环境。

Lecturas Relacionadas

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.

marsbitHace 4 hora(s)

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

marsbitHace 4 hora(s)

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.

marsbitHace 7 hora(s)

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

marsbitHace 7 hora(s)

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.

marsbitHace 9 hora(s)

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

marsbitHace 9 hora(s)

Trading

Spot
Futuros
活动图片