终极变盘比特币阴跌竟是烟雾弹山寨血洗周四抄底还是清仓ARB暴涨暴跌

金色财经Pubblicato 2025-07-08Pubblicato ultima volta 2025-07-08

文章来源:公众号佩佩梭哈

比特币今天持续下杀,跌破关键支撑,最低跌至106615,佩佩昨日在文章《紧急!比特币画门暴跌后绝地反击?美国狂撒千亿TGA放水,山寨币暴涨前夜!速看布局清单!》中提醒比特币107706这里我认为不适合做多了,属于刀口舔血,已经到区间上沿了,下方注意107450,跌破开空。

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如果你昨天有看佩佩公众号或者问佩佩每日的开单策略,你应该和佩佩一样是吃到肉的,胜率大家可以明显看到,基本是全中胜率。现在每天吃香的喝辣的!还没吃到肉的,佩佩带你布局,佩佩近期的大方向判断没有出错过。有粉丝发消息我没回的,不是不回,是回不了,可以关注佩佩

BTC

BTC遇到109000的关键趋势线压力位置,目前正在走98100-109000这一段的回调 目标是104700-5800左右的位置,这里支撑走出结构可以向上突破,先关注趋势线压力,如果突破才有机会看到历史新高,小级别下午关注一波反弹做空机会,目前在小通道的底部,做空就2个入场位置 

1,反弹上来空 

2,跌破通道空 

空头下一个阶段目标105K区间,再下就是103.5K  101.5K

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做多机会:目前这个级别的底部还没有走出来,空仓的可以继续观望下,一周内差不多走出来。这里有3个点位只要不跌穿都有机会上拉反弹,1个是106150,1个是103695,1个是102165。

ETH

以太坊从2430反弹2524,又回撤2430形成一个倒v,午夜又来个深v诱惑反弹上去2520一线。

小时图级别在走一个M形态,上方双顶2520,下方底2430。没有空单的,日内依旧可以在2500到2530和2560参与高空,目标下看2460跟2420和2380这里。2380-2520这个区间非常微妙 向上突破就有机会去测试大区间的顶, 向下突破就要嘎了。

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山寨

这几天市场一直再跌,但是各路机构和上市公司买入,ETF的资金流入也一直没断,基本每天都是5亿左右,当然不论是上市公司还是ETF的进场资金都很难流入到二级的山寨上。

(1)ARB

ARB有传言被robinhood看中了,底部反弹上来涨了40%,随即砸盘,甜梦昨日公开推荐0.358可以做空ARB。

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目前ARB结构阻力位附近,高潮反转信号K空头反包 反弹不再新高,形成收敛区间 区间跌破,空头结构 确立,开始波段下跌 --- 不要再下跌一段后追空 反弹遇阻拐头之后再空 要做多最好等下面2个关键支撑(也是空头的目标)。

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(2)swarms

昨日佩佩0.019645推荐做多swarms,最高涨至0.0246833,涨幅逾40%

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目前在关键阻力位,爆量超买 适合底部买上来的多头开始止盈不适合追涨,接下来回调或者在红色区间震荡盘整 属于做多不能做,做空太早的时候。

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(3)Lever

昨天的lever基本上到目标位置了,性价比不是很高了,可以全部止盈了,跟着佩佩混。三天吃九顿,减一次仓,均价给我干到了0.0036,兄弟们吃肉 !继续干下一个。(私我领取)

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    目前佩佩山寨的计划就是逢高就空,抄底买入,下一步我是打算在7月初逢高布局TRUMP和ZRO的做空,有爆拉就建仓一些,没有爆拉就定投低倍空单,这个和抄底很像,只是方向反过来了,拿到解锁那天止盈就好,这些策略和点位咱们每天都是在社群实时更新。

本周变盘点

美国6月失业率和非农数据公布,这个可能会拉响警报,6月的季调后非农就业人口可能骤降到11.6万,失业率也会升高,看市场是否继续丧事喜办,川普关税造成的就业打击正在显现。本周的数据很可能只是第一步,后面几个月的失业率可能还会因为关税继续上升,这才是佩佩担心的。

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本周的非农数据直接决定降息预期,如果数据偏弱,降息预期升温,利好加密, 如果数据超预期,市场恐慌,BTC回调风险上升 ,与此同时,比特币持续震荡下跌,盯紧后续走势,别错过吃肉机会!

Crypto di tendenza

Letture associate

Coldcard Theft Reflection: Source Code Visibility Does Not Equal Security

The article examines the open-source vs. closed-source debate in crypto, prompted by a theft of over $100M in Bitcoin from Coldcard hardware wallets. It clarifies key terminology: true "Free and Open Source Software" (FOSS) grants four essential freedoms (use, study, share, modify), while "source available" code, like Coldcard's firmware, may have usage restrictions. The piece argues that visible source code alone does not guarantee security; actual safety depends on the economic incentives for thorough, ongoing review by skilled individuals. Using Bitcoin Core as a model, the article describes a successful, transparent open-source development culture built on public review and consensus. It contrasts this with the Coldcard case, where a critical bug in a lightly-reviewed, source-available library went undetected for years, highlighting a "tragedy of the commons" scenario where assumed but absent scrutiny creates vulnerability. The economics of licensing are crucial: restrictive licenses can limit the pool of motivated commercial reviewers. Finally, the article explores AI's impact. It cites the Bitcoin Red Team's use of AI to rapidly audit codebases and find vulnerabilities at scale, demonstrating a powerful new tool for security. However, AI also floods projects with low-quality code, straining maintainers. The piece concludes that in high-stakes crypto, only well-audited projects—whether open or closed-source—can withstand evolving threats, with AI both challenging and aiding security practices.

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Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

A mysterious anonymous AI model named "Ox Alpha," nicknamed "Cow is Coming" by Chinese netizens, has appeared on OpenRouter, sparking widespread speculation. The model offers a 1 million token context, supports text, image, and video inputs, can call tools, and is currently free. Its standout feature is strong coding ability. Initial tests on the DeepSWE benchmark, which evaluates real-world software engineering tasks, showed an 80% pass rate on a subset of tasks, reportedly nearing top-tier code models. However, follow-up tests yielded a 63% score, with variations attributed to different task sets and configurations. The model's true developer is a major topic of debate. The prevailing theory points to Zhipu AI's unreleased GLM-5.3 Flash or its multimodal variant. Evidence cited includes identical visual token consumption patterns with GLM-5V-Turbo for videos, a consistent offset in text token counts compared to GLM-5.3, and similar behavioral traits like refusing audio processing. Zhipu has a precedent of anonymous testing. Simultaneously, another anonymous model, "korrine," appeared on Code Arena, with guesses ranging from Moonshot's Kimi K3.1 to models from Qwen or MiMo, adding to the industry's guessing game. This trend of anonymous "undercover" testing allows for unbiased performance evaluation in platforms like Arena and provides real-world, high-pressure testing through tools like OpenRouter before official release. It also serves as an effective marketing tactic, prolonging discussion through suspense. If Ox Alpha is indeed a "Flash" model, its performance raises expectations for the full-scale version's potential.

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