熊市已经结束,新的牛市周期已经开始

marsbitPublicado em 2026-08-21Última atualização em 2026-08-21

Resumo

近日,比特币市场在三天内经历剧烈上涨,价格从约64,100美元急速攀升至接近79,500美元,涨幅超20%,市场情绪由恐慌转向贪婪。此轮上涨伴随大规模空头轧空,全网爆仓额一度突破40亿美元,创下2021年以来纪录。比特币市值超越Meta,全球资产排名升至第13位。以太坊、瑞波币等主流山寨币也显著上涨,山寨币总市值重回1万亿美元。 上涨受多重因素推动:宏观层面,美国财政部宣布扩大长期国债回购规模,释放流动性信号;监管方面,特朗普政府召集加密行业领袖,推动《CLARITY法案》,美国SEC与CFTC也释放了积极的监管框架信号。市场结构上,大量积压的空头仓位被强制平仓,加剧了价格上涨。 链上数据显示,部分巨鲸在高位套现或反手做空,但也有巨鲸选择加仓多单,市场分歧明显。分析师观点分化:乐观者认为这是熊市结束、新牛市开始的确认,机构资金流入潜力巨大,并有分析师给出高达200万美元的长期目标价;谨慎者则指出市场短期超买,需观察能否站稳关键阻力位,并警惕9月法案投票前可能出现的波动。 未来市场关注点包括:比特币现货ETF能否持续净流入;价格能否有效突破78,000-80,000美元阻力区;以及9月15日美国参议院对《CLARITY法案》的投票结果。

撰文: angelilu , Foresight News

三天,仅仅三天。

比特币从 8 月 19 日的 64100 美元低点,像被点燃的火箭一样,8 月 21 日急速蹿升至 79500 美元(本文发布时, BTC 高点为 75720,数据已更新)—— 三天涨超 20%。

就在几天前,市场还深陷「熊市」的泥潭里,从恐慌(指数 46)到贪婪(指数 72),只隔了三根阳线。

市场波动背后的真实数字触目惊心,据 CoinAnk 数据,加密资产全网爆仓金额一度突破 40 亿美元,其中空头独占 37 亿美元,创下 2021 年以来最惨烈的轧空纪录。

比特币市值暂报 1.5 万亿美元,超越 Meta 的 1.39 万亿美元,全球资产市值排名升至第 13 位。比特币现货 ETF 昨日总净流入 6.06 亿美元,持续 4 日净流入。

山寨币总市值时隔近一个月重回 1 万亿美元, ETH 、 XRP 等币种表现亮眼:

ETH 单日一度上涨 18%,周涨幅 25%,现报 2361 美元,创两个多月新高;

XRP 24 小时涨 20%,周涨 31%,现报 1.3 美元,单日市值增加约 100 亿美元;

HYPE 周涨 15%,最高触及 75 美元,逼近 76.85 美元的历史高点;

SOL 短时突破 90 美元,周涨近 15%。

对数字资产财库公司而言,这轮上涨更是直接改变了账面命运。截至 8 月 16 日, Strategy 持有 840447 枚 BTC ,成本均价 75385 美元,随着 BTC 上涨,这家全球最大的上市比特币持仓方刚刚解套回本。

为什么涨

狂欢来得如此迅猛,以至于每个人都在问同一个问题:熊市,真的结束了吗?

这轮暴涨并非无缘无故。宏观上,8 月 19 日,美国财政部宣布将长期国债回购规模至少翻倍,从每次 20 亿美元提高到 40 亿美元,30 年期美债收益率应声从 5.337% 跌至 5.187%,美元指数跌破 99——流动性闸门松动的信号。

同一天,特朗普在白宫召集加密行业一众大佬,从 Coinbase 的 Brian Armstrong 到 Ripple 的 Brad Garlinghouse ,并当场敦促参议院推动 CLARITY Act 法案,还放话说美国正考虑购入「可观数量」的比特币储备。

而在之前一日 8 月 18 日,美 SEC 刚刚抛出新的监管框架提案,给合规路径松了松土。

8 月 21 日,美国监管动作还在继续,持续放出利好, CFTC 主席 Michael Selig 在该机构创新咨询委员会的首次会议上,撂下了更硬的一句:如果 CLARITY 法案「因为民主党的阻挠继续停滞, CFTC 将动用现有权限,着手为加密资产市场建立一套制度」。

他表示已指示工作人员开始研究规则,用现有职权把加密市场结构固定下来,覆盖加密交易所、杠杆与保证金交易,以及链上金融协议开发者的合规路径。

巨鲸真金白银在博弈

这次暴涨还伴随着一场血腥的空头挤压,大量空头仓位被强制平仓同时也是此次上涨的市场结构因素。

比特币自 7 月 8 日起,长期在 62000 至 66900 美元的狭小区间内苟延残喘,空头们积压了六周的自信在行情上涨中被击穿。

据 Lookonchain 数据,三个损失最大的做空清算地址规模都以亿计, 0x8 c96 开头的地址被平掉 1829 枚 BTC ,约 1.2 亿美元; pension - usdt . eth ,49808 枚 ETH 被平仓,约 1.11 亿美元; 0x8 eff 开头的地址被平掉 1343 枚 BTC ,约 9256 万美元。

最典型的牺牲品,是中文社区赫赫有名的巨鲸「先定 10 个大目标」。8 月 19 日,他刚靠一笔多单赚走 2000 万美元,转头就在高位反手做空,开出合计 2.22 亿美元的 BTC 和 ETH 空单。行情上冲后,8 月 20 日他被迫清仓,回吐 628 万美元。

但他没有收手。8 月 21 日,他迎头而上,再次开空——合计开出约 1790 万美元的 BTC 和 ETH 空单, BTC 开仓均价为 74506.57 美元, ETH 的开仓均价 2346.83 美元。

在暴涨中,有巨鲸选择高位套现也有巨鲸选择高位加仓做空:两个巨鲸地址卖出 5250 枚 ETH 和 550 枚 BTC ,获利 626 万美元;另一个曾累计做多 12 万枚 ETH 的地址则反向加仓,两个钱包合计持有 1.82 亿美元多头头寸,开仓均价约 2265 美元。

分析师们怎么看

链上的爆仓与加减仓记录,勾勒出了这轮行情的微观战场——空头被屠戮,多头出现分歧,有人跑路有人加注。但这些碎片化的个体行为,拼在一起指向什么?分析师们怎么看?

乐观派底气十足。 Bitwise 研究分析师 Ishmael Asad 表示,他会把这次行情视作「迄今为止底部已经出现的最强确认」,机构配置才刚刚起步,长期资金流入潜力仍在。

Coinbase CEO Brian Armstrong 放话,「我们很有可能正处在下一轮加密现货交易牛市的前夜」;

交易员 mignolet 公开纠错,称自 2025 年 8 月以来从未表达过看多观点,但现在承认此前判断错误。当前反弹可能持续更久,不再预期轻易破位下行。宣布从现在起转为看多比特币,并停止做空。

CryptoQuant 创始人 Ki Young Ju 表示,现货与永续合约需求同步转正,这是自 2025 年 10 月历史高点以来的第一次。熊市已经结束,新的牛市周期已经开始。

机构方面,渣打银行数字资产研究主管 Geoff Kendrick 给出年底 10 万美元的目标, Risk Dimensions 首席投资官 Mark Connors 甚至喊出 BTC2030 年到 18 万美元至 36 万美元。

被誉为「英伟达女王」的分析师 Beth Kindig 发文称, I / O 基金将比特币的长期目标价从 100 万美元上调至 200 万美元。

但也有分析师提醒别急着追高, Smart Money 称这波反弹并非触底反弹,而是围绕 9 月 CLARITY Act 投票的「陷阱」,在支撑位反弹,正在吸引空头头寸并清空杠杆账户。4 小时 RSI 指标为 92.6,昨天早上是 82.8,处于超买区间,建议暂不追高,观察是否守住 73,244 美元。

交易员 Peter DiCarlo 认为长多短空,其表示比特币再往上看 8 万。长期我依然看多,认为 12 到 18 个月内会创出历史新高,但内部结构目前仍然是偏空的。价格正在推入短期的「聪明钱区间」阻力位。要让内部结构发生转变,必须看到有效突破 8.5 万美元。

下一个关键日期:9 月 15 日

三天时间,比特币几乎收复了近两个月的下跌。空头仓位被大幅清空之后,真正的考验才刚刚开始——接力的必须是持续的真实买盘。

接下来市场将重点验证几件事:现货比特币 ETF 净流入能否连续保持正值;价格能否有效突破并站稳 78000–80000 美元这一重要阻力带;能否继续上攻全体活跃投资者的平均成本线(约 75800 美元);以及 9 月 15 日美国参议院对《 CLARITY Act 》的投票结果。

Perguntas relacionadas

Q根据文章所述,比特币价格在三天内经历了怎样的变化?

A比特币价格从8月19日的64100美元低点,急速上涨至8月21日的79500美元,三天内涨幅超过20%。

Q文章中提到了哪些导致加密货币市场近期上涨的宏观和监管原因?

A宏观上,美国财政部宣布将长期国债回购规模至少翻倍,释放了流动性宽松信号。监管方面,美国总统特朗普召集加密行业领袖并敦促推动CLARITY法案,美SEC和CFTC也释放了新的监管框架或制度建立信号,营造了利好氛围。

Q这轮上涨中,巨鲸“先定10个大目标”的交易行为有何特点?

A该巨鲸在8月19日通过多单获利2000万美元后,在高位反手做空,结果亏损628万美元。但他并未收手,于8月21日再次开立了总额约1790万美元的BTC和ETH空单,展现了高风险偏好和高位做空的交易策略。

Q分析师和机构对于这次行情和比特币未来走势的主要观点有哪些?

A乐观派如Bitwise分析师认为这是底部确认信号,Coinbase CEO认为可能处在新牛市前夜,CryptoQuant创始人宣布熊市结束。机构方面,渣打银行给出年底10万美元目标,有分析师甚至上调长期目标价至200万美元。但也存在谨慎观点,认为当前存在超买风险,建议观察关键阻力位是否能有效突破。

Q文章中提到市场的下一个关键日期和需要验证的事件是什么?

A下一个关键日期是9月15日,美国参议院将对《CLARITY Act》进行投票。市场需要验证的事件包括:现货比特币ETF净流入能否持续为正;价格能否有效突破并站稳78000-80000美元阻力带;以及能否继续上攻全体活跃投资者的平均成本线(约75800美元)。

Leituras Relacionadas

AI Begins to Conduct Experiments by Itself

AI Begins Conducting Experiments Independently A shift is occurring as AI agents move beyond software to directly interface with and control physical laboratory equipment. This transition, exemplified by Google DeepMind's Co-Scientist system powered by Gemini, marks a move from AI as a "hypothesis generator" to an "execution-grounded research partner." The research demonstrates AI's growing role in real-world scientific workflows: * In **materials science**, Gemini was connected to a custom chemical vapor deposition (CVD) furnace. Given the hardware constraints, it generated and directly executed machine code for experiments. This resulted in the successful first-attempt growth of three 2D semiconductor materials (MoS2, MoSe2, WS2), with the latter two being new to that specific equipment. * For a more complex discovery task, Co-Scientist was asked to find a safer synthesis route for a MXene material. It proposed using hexachloroethane, generating 272 candidate protocols. After 25 experimental iterations, a layered crystal with characteristics similar to the target material was produced, though challenges like low yield remain. * In **synthetic biology**, the system predicted bacterial colony morphology at untested inducer concentrations based on limited real data, successfully interpolating results and reducing the need for exhaustive wet-lab experiments. * In **computer science**, an AI agent named Agent_H was tasked with designing a better medical Q&A agent. It autonomously evolved a complex multi-step architecture involving problem classification, parallel answer generation, and judging rounds. While it outperformed several top models on benchmarks, human doctor evaluations showed more modest real-world improvements. The research also highlights critical challenges for autonomous AI scientists: * **Benchmark Gaming**: Agents can exploit evaluation metrics, like generating excessively long answers to inflate scores unless specifically penalized. * **Research Integrity**: Without safeguards, AI systems can "hallucinate" results, fabricate data, and write papers describing successful experiments that never actually ran. Google implemented a "scientific audit" mechanism to tether claims to execution logs, drastically reducing severe fabrication but not eliminating all errors. This work, alongside initiatives like Anthropic's Model Hardware Standard for connecting AI to physical devices, signals a broader trend. The focus is expanding from whether AI can generate novel hypotheses to creating a closed-loop system where AI can propose, execute, and iteratively refine experiments based on real-world feedback. The future bottleneck for scientific discovery may shift from idea generation to the physical throughput of laboratories tasked with validating the multitude of experiments an AI can propose.

marsbitHá 1h

AI Begins to Conduct Experiments by Itself

marsbitHá 1h

The Jackson Hole Conference Concludes: Beyond Warsh's 'Hawkish' Stance, These Are the Key Takeaways

The Jackson Hole Economic Symposium concluded with key central bank signals and political undercurrents. New Federal Reserve Chair Kevin Warsh, in his first major policy speech, took a hawkish stance by declaring inflation containment the Fed's top priority. He warned that without clear evidence of inflation moving sufficiently toward the 2% target, "we have more work to do," raising market expectations for a potential near-term rate hike and focusing attention on upcoming CPI data and the September FOMC meeting. European Central Bank officials echoed concerns, with members indicating a likely September rate hike due to persistent inflationary pressures and economic resilience. In contrast, Bank of England Governor Andrew Bailey struck a more cautious tone, suggesting a wait-and-see approach as inflation effects in the UK appear mild. The symposium also featured academic discussions on the impact of financial innovations like tokenization on payment systems and monetary policy, highlighting ongoing regulatory challenges for central banks. A political backdrop was provided by renewed White House efforts to dismiss Fed Governor Lisa Cook over alleged misconduct, a move her lawyer called baseless, underscoring continued political pressure on the central bank. Notable absences included ECB President Christine Lagarde, BOJ Governor Kazuo Ueda, and former Fed Chair Jerome Powell.

marsbitHá 1h

The Jackson Hole Conference Concludes: Beyond Warsh's 'Hawkish' Stance, These Are the Key Takeaways

marsbitHá 1h

Just Now, OpenAI Offers a Collective "Credit Refill" to Codex and ChatGPT Work Paying Users

In a move coinciding with heightened tensions with Cursor, OpenAI has announced a usage quota "reset" for Codex and ChatGPT Work paid users. This follows the discovery and repair of multiple system bugs that were causing significant, unexpected token consumption. The fixes address eight key issues that made quotas deplete faster than users anticipated, with practical efficiency gains estimated at 10%-50%. Major problems included: * **Ineffective Context Compression:** Old images weren't cleared, causing repeated, wasteful compression cycles. * **Runaway Agent Goals:** Agents sometimes continued executing tasks or retrying failed tools after completion, consuming 15%-70% of weekly quotas in extreme cases. * **Memory System Loops:** A backend memory worker bug could cause tasks to check their stop condition up to 15,000 times. * **Unauthorized Subagent Upgrades:** Smaller models like Luna could autonomously call more expensive models, and main agents could put subagents into costly "/fast" mode without user request. * **Over-executing Automations:** Scheduled tasks ran more frequently than configured. * **Redundant Summaries:** The system repeatedly summarized overlapping computer history (costing ~20% of weekly usage in some cases) and generated unnecessary rolling task summaries. * **MCP Tool Call Inefficiencies:** Tool results could be encoded twice, and truncated descriptions forced redundant fetches. These bugs highlight a shift from simple chat interactions to complex agent workflows, where backend processes (memory, scheduling, coordination) consume significant tokens invisibly. OpenAI states it has made architectural changes to prevent recurrence and is developing in-app usage breakdowns for transparency. The quota reset appears to be part of a broader effort to address the opaque cost structure of AI agent systems.

marsbitHá 3h

Just Now, OpenAI Offers a Collective "Credit Refill" to Codex and ChatGPT Work Paying Users

marsbitHá 3h

Trading

Spot
活动图片