BTC周报 | 比特币白皮书问世15周年;币价触及35000美元高点(10.30-11.5)

Odaily星球日报Pubblicato 2023-11-06Pubblicato ultima volta 2023-11-06

Introduzione

Ordinals铭文交易费用超2150枚BTC,近十日铸币量明显增加。

整理 | Odaily星球日报

编辑 | 0xAyA

BTC周报 | 比特币白皮书问世15周年;币价触及35000美元高点(10.30-11.5)

一、市场交易

1.现货市场

上周 BTC 价格一路高歌猛进,一路攀升至关键的 34000-35000 美元区间。然而,本周 BTC 价格在这一区间内出现了波动和盘整的情况。截至发稿时,BTC 的报价暂时稳定在 35100 美元左右的水平,过去一周涨幅为 1.42% 

BTC周报 | 比特币白皮书问世15周年;币价触及35000美元高点(10.30-11.5)

目前,BTC 价格在 4 h 级别窗口内仍然处于横盘调整状态,市场正在等待进一步的情绪发酵。

BTC周报 | 比特币白皮书问世15周年;币价触及35000美元高点(10.30-11.5)

这一周的价格波动显示出市场对 BTC 未来走势的不确定性,场内外资金仍然在等待如现货 ETF 通过这样的关键信息。尽管价格在关键区间内波动,但我们也可以看到市场对 BTC 的整体趋势仍然持乐观态度,这种波动和盘整是市场在寻找价格的合理定位和市场参与者的买卖力量之间进行平衡的过程。

在本周的 BTC 兑法币交易中,美元依然稳居首位,占据了整个交易市场的 85.9% 的份额,而韩元则排名第二,占据了 6.83% 的市场份额,显示出韩国投资者对 BTC 的兴趣和参与度的上升趋势,其余法币兑 BTC 交易的总额合计占比 7.28% ,其中日元排名第三。

BTC周报 | 比特币白皮书问世15周年;币价触及35000美元高点(10.30-11.5)

2.GBTC 表现

本周 GBTC 依然维持着低负溢价水平,一级市场价格报每股 $ 25.84 ,二级市场价格报每股 $ 22.45 ,折价水平从上周的 17.22% (10 月 27 日)缩窄至 12.77% (11 月 3 日)。宏观层面的矛盾放缓和现货 ETF 的消息为 GBTC 注入了一针强心剂,也是市场为何选择购买 GBTC 的原因。

BTC周报 | 比特币白皮书问世15周年;币价触及35000美元高点(10.30-11.5)

3.期货

BTC 永续合约资金费率方面,dYdX 上的 USDT 合约资金费率最高,达到 0.04% ,Binance 以及 OKX 最低,只有 0.01% ;BitMex 币本位资金费最高,达到 0.021% ,OKX 最低只有 -0.0021% 。

季度交割价格则普遍出现正溢价,价格在 35300-35000 线不等,显示市场上的投资者对未来走势依然保持乐观态度,大多数仓位仍然看多 BTC。

就 BTC 合约的持仓量而言,排名前三的交易所分别是:Binance,其持仓量达到了 39.2 亿美元,位居榜首;其次是 GME,其持仓量为 36.1 亿美元;Bybit 则排名第三,持仓量为 26.5 亿美元。

BTC周报 | 比特币白皮书问世15周年;币价触及35000美元高点(10.30-11.5)

4.期权

本周 BTC 总持仓 为 1087.26 亿美元,同比上周减少 2.60% 。就期权持仓比而言,看涨期权占据了 67.16% ,而看跌期权则占据了 32.84% 。这显示出投资者对 BTC 未来价格的预期依然偏向看涨。具体持仓方面,看涨期权的总持仓为 267, 011.73 BTC,而看跌期权的总持仓为 130, 552.33 BTC,这进一步印证了看涨期权在市场中的主导地位。

BTC周报 | 比特币白皮书问世15周年;币价触及35000美元高点(10.30-11.5)

二、矿业

根据BTC.com数据,本周 BTC 网络算力 474.33 EH/s, 7 天前 BTC 全网难度增加了 2.35% , 6 天后全网难度预计继续增加 2.55% ,如下所示:

BTC周报 | 比特币白皮书问世15周年;币价触及35000美元高点(10.30-11.5)

排名前三的矿池分别为 Foundry USA、AntPool 和 F 2 Pool,占比分别为 28.62% 、 25.63% 和 12.63% 。如下所示:

BTC周报 | 比特币白皮书问世15周年;币价触及35000美元高点(10.30-11.5)

glassnode 数据显示,过去一周 BTC 链上活跃地址数为 7507544 ,同比上涨 3.87% ;矿工收如为 264.764 枚 BTC,同比上涨 43.94 %;开采区块总数为 1071 个,同比上涨 4.18% ;新增地址数为 3002486 ,同比下降 16.09% 。如下所示:

BTC周报 | 比特币白皮书问世15周年;币价触及35000美元高点(10.30-11.5)

综合来看,本周链上数据表现仍然十分强劲,尽管新增地址数有所下降,但铭文生态的火热以及市场的上涨使得矿工收入暴涨,过去两周的矿工收入增长了 109.58% ,而可预见的时间内矿工收入的增长势头依然强劲。

矿企方面,BTC 矿企 Cipher Mining Inc.最近发布了 10 月运营更新,该公司攻击生产了约 428 BTC,平均每日产出 15 枚 BTC,产量比上个月增加了约 3% 。 与此同时, 10 月份平均每月网络哈希率比上个月增加了约 9% 。此外,Cipher 在 10 月份出售了约 466 BTC,截至 10 月底余额约为 516 BTC,月末运行算力 7.2 EH/s。

三、生态进展

(1)Oridnals

数据显示,Oridnals 铸造的铭文总量已达 381.5 万枚,迄今产生的总费用达到 2, 212.5 枚 BTC,折合约 7726 万美元。

BTC周报 | 比特币白皮书问世15周年;币价触及35000美元高点(10.30-11.5)

铭文方面,本周铭文数量暴涨主要还是集中在 BRC-20 的铸造上,且相比两周前的数据有着十分可观的暴涨,大盘的上涨某种程度上也带动了铭文生态的繁荣,而本周铭文收入费用也来到了 220.4 万美元,同比上涨 396.3% 


BTC周报 | 比特币白皮书问世15周年;币价触及35000美元高点(10.30-11.5)

BTC周报 | 比特币白皮书问世15周年;币价触及35000美元高点(10.30-11.5)

UniSat Wallet:brc 20-swap 主网已上线

UniSat Wallet 在 X 平台发文表示,brc 20-swap 主网已上线。 此前消息,UniSat Wallet 发文表示,经过仔细研究,决定将 14 种铭文资产纳入 brc 20-swap 主网上线首批支持名单。 14 种铭文资产分别为.sats、.ordi、.trac、.oshi、.btcs、.oxbt、.texo、.cncl、.meme、.honk、..bit、.vmpx、.pepe 以及.mxrc。 UniSat 表示,在 brc 20-swap 主网上线初期会施行“按需交易”的模式:只有当新的用户向 brc 20-swap 中存入相关资产,提现请求才能使用。

(2)闪电网络

基于 BTC 闪电网络建立的加密支付应用 Strike 宣布推出直接存款、电汇和银行卡支付等新功能。具体包括: 1.支持电汇,允许 Strike 客户转移无限的资金并购买任意数量的 BTC,所有 BTC 都可以立即提取;2.直接存款,用户可通过 Strike 获得以 BTC 支付的任何部分工资;3.扩展了支持的支付方式,包括借记卡和增强的银行连接支持;4.部分客户可将 Strike 与其关联的付款方式一起使用,不再需要先支付押金,使用借记卡进行闪电支付,使用银行账户将 BTC 发送到冷钱包等。

(3)其他项目Atomicals

Atomicals 协议是一种简单而灵活的协议,用于为 BTC 等未花费的交易输出 (UTXO) 区块链铸造、传输和更新数字对象(传统上称为 NFT),简单来说,Atomicals 协议是第一个以 POW 过程来挖代币铭文的协议,人人都可以亲自用 CPU 挖到 代币 / 领域 / NFT。

四、其他消息

BTC白皮书问世 15 周年

2008 年 10 月 31 日,中本聪(Satoshi Nakamoto)发表 BTC 的创世论文:《BTC:一种点对点的现金支付系统》,距今已经 15 周年。

BTC 市值今年增长 110% ,表现明显优于黄金等传统资产

Glassnode 最新链上周报显示,数字资产市场在 2023 年取得令人印象深刻的回报,其中 BTC 的表现已经显著地超过了传统资产的表现,其表现与黄金相比最高时超出了 93% 。 这个主要数字资产的市场修正比以前的周期明显较小,这表明有投资者的支持和积极的资本流入。 Altseason 指标显示了自本周期高点以来对美元的第一次显著升值。然而,值得注意的是,这是在 BTC 主导地位继续上升的背景下发生的,其主导地位已从 2022 年底创下的周期性低点(38% )上升,BTC 的市值今年迄今增长 110% ,而山寨币市值(不包括稳定币)增长 37% 。

BTC周报 | 比特币白皮书问世15周年;币价触及35000美元高点(10.30-11.5)

SynFutures 联创:BTC 有望在 11 月底达到 47000 USDT

去中心化衍生品协议 SynFutures 联创 Rachel Lin 表示,BTC 有望在 11 月底达到 47000 USDT。 Rachel Lin 表示:“上周坐实了 10 月的' Uptober '说法,BTC 上涨近 29% ,更有趣的是,当我们回顾历史数据时, 11 月往往比 10 月更好,BTC 的平均回报率超过 35% 。如果今年 11 月也能实现类似的回报,我们可以看到 BTC 达到 47000 美元左右。” Rachel Lin 指出:“特别值得注意的是现货交易量的飙升,和超过 10 万美元大宗交易的显著增加,这是机构兴趣增强的一个明显迹象,因为大型参与者似乎正在巩固他们在数字资产,特别是 BTC 方面的头寸”。

Coinbase 首席运营官:已做好 BTC 现货 ETF 批准后的运营准备,将市场增强流动性和稳定性

Coinbase 首席运营官 Emilie Choi 在周四的一次电话会议上表示:“已做好 BTC 现货 ETF 批准后的运营准备,它们应该会增加市场的可信度,我们应该会看到流动性和市场稳定性的增加,就像我们在黄金 ETF 等其他资产中看到的那样。”

Letture associate

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

NEAR Returns to AI Origins: From Payroll Struggles to Blockchain, Now Focusing on AI Agents and Privacy NEAR Protocol's journey began not with grand blockchain ambitions, but from a practical hurdle: its AI startup founders, including Transformer paper co-author Illia Polosukhin, couldn't efficiently pay international developers in 2017. This led them to pivot and build a high-performance, scalable blockchain. After years navigating various crypto narratives like sharding and cross-chain interoperability, NEAR is now leveraging its AI roots to re-enter the AI arena. A key driver is its "NEAR Intents" layer, which abstracts complex cross-chain transactions. Users simply state their goal (e.g., swap BTC for ETH), and a solver network finds the optimal route. This system has processed over $20B in cross-chain volume, generating significant fee revenue. A major growth area is private transactions via "Confidential Intents/Swaps," which hide trade details until settlement to protect against MEV and front-running. Remarkably, private swaps recently accounted for over 40% of NEAR's transaction volume, highlighting strong demand but also potential regulatory scrutiny. With its AI-founder pedigree, NEAR is positioning itself at the intersection of blockchain, AI agents, and privacy, aiming to become infrastructure for the emerging agent economy while navigating the challenges of its rapid adoption.

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Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

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From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

In recent discussions, Vitalik Buterin has frequently emphasized the concept of "CROPS," a framework defining core values for Ethereum's development. CROPS stands for Censorship Resistance, Capture Resistance, Open Source, Privacy, and Security. Initially outlined in the Ethereum Foundation's "EF Mandate," it represents a commitment to user sovereignty, ensuring that the network resists external control, remains open, protects privacy, and prioritizes security. The relevance of CROPS extends beyond Ethereum's foundational principles, becoming crucial in the context of AI integration. As AI agents begin handling wallet operations and automated transactions, the risk increases that users may cede control over their digital assets, privacy, and intentions to centralized AI service providers. A "CROPS AI" would therefore emphasize local execution where possible, privacy-preserving remote model calls (e.g., using zero-knowledge proofs), and transparent, verifiable processes to maintain user agency. Vitalik highlights a significant convergence between "CROPS Ethereum access layer" and "CROPS AI." Both address the same fundamental challenge: how users can access powerful services—be it blockchain data via RPCs or AI models—without exposing sensitive information or relinquishing ultimate control. This intersection points toward a future digital entry point that is more private, secure, and user-controlled. Ultimately, CROPS is not merely an abstract ideal but a practical guidepost. It steers development—from protocol resilience and wallet design to AI agent safety—towards a future where users retain self-sovereignty even as digital systems grow more complex and powerful. In an era of accelerating AI adoption, these "slow variables" of censorship resistance, openness, privacy, and security may define Ethereum's enduring value.

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From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

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Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

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Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

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Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

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Token Inefficient, Economy Tokenless

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