柴犬 (SHIB) 将在 2025 年触底 XRP:有望反弹至 3 美元 比特币尚未跌破 10 万美元

金色财经Pubblicato 2025-09-23Pubblicato ultima volta 2025-09-23

文章来源:公众号佩佩梭哈

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市场已进入长期回调期,估值可能大幅缩水。柴犬币(Shiba Inu)正准备测试2025年0.00001美元左右的底部,而比特币也已瞄准10万美元的水平。但就比特币和瑞波币(XRP)而言,回调可能不会加剧,市场整体仍将保持中性。

 柴犬弱 

有迹象表明Shiba Inu 代币价格正在走弱,这可能会使其跌至 2025 年的最低水平。该资产近期突破了其长期存在的对称三角形结构,使其处于技术面位置,表明接下来可能出现更多跌幅。200 日均线仍然是强劲的上方阻力位,SHIB 代币价格已跌破其 50 日和 100 日移动平均线,目前交易价格约为 0.00001213 美元。

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未能维持在这些水平之上表明买家正在失去市场控制力,看跌势头正在形成。抛售和成交量激增进一步证明,此次下跌是市场情绪更广泛变化的结果,而非仅仅是流动性低下事件。RSI 指标几乎没有出现逆转迹象,已跌至超卖区域附近,表明抛售压力巨大。

未来最可能出现的情况是测试更深层次的支撑位。下一个关键区域在0.00001050美元左右,如果SHIB无法稳定在0.00001200美元上方,这可能意味着2025年出现新的局部底部。跌破该水平将预示SHIB可能开启长期下跌趋势,并可能抹去此前年度涨幅的很大一部分。

由于近期缺乏重大催化剂,且市场环境谨慎,SHIB 的前景依然悲观。未来几周,除非购买兴趣显著回升,或加密货币市场普遍情绪发生重大转变,否则 Shiba Inu 的价格可能会重回甚至创下 2025 年的最低水平。 

XRP:情况还不算太糟 

随着瑞波币跌破近期支撑位,交易员们担心该资产可能进一步下跌。尽管跌破下行阻力线预示着市场即将崩溃,但情况可能并非表面那么明朗。尽管存在技术缺陷,但多项指标表明,此次崩溃可能只是一场骗局,这将为快速反弹提供动力。 

XRP 目前交易价格接近 2.86 美元,触及 100 日均线附近(该水平通常在趋势市场中起到强劲支撑作用),并跌破 50 日均线。缺乏显著的交易所资金流入表明,主要持有者并不急于抛售代币,尽管这一走势最初看似利空。缺乏恐慌性抛售是一个关键指标,表明市场可能仍将趋于平稳。

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交易量也应纳入考量。尽管抛售压力导致XRP暴跌,但交易量激增的幅度并不像过去清算事件中那样剧烈。这说明长期持有者仍有可能恢复,而短期交易者可能已被淘汰。2.80美元至2.85美元的区间在未来将至关重要。 

如果XRP能够迅速收复2.95美元至3.00美元的区间,该代币可能会重返此前的交易通道。但如果未能迅速收复,市场将面临重新测试2.60美元附近更深支撑位的风险。虽然这不应被解读为崩盘的明确信号,但目前仍需谨慎对待此次跌势。 

比特币倒退

 比特币目前价格为112,916美元,在近期从115,000美元至116,000美元区间回落后,明显处于弱势。交易员们担心,由于此次回调,这种顶级加密货币可能会跌破10万美元的六位数心理关口。然而,目前这种风险还很遥远。 

BTC 在日线图上正在 111,800 美元附近盘整,略高于 100 日均线,而 200 日均线则低得多,约为 105,000 美元。除非比特币明显跌破这一关键的长期支撑位,否则现在担心其跌破 100,000 美元还为时过早。200 日均线与当前价格水平之间的差异表明,在任何实际下行风险成为现实之前,比特币拥有相当大的承受波动的空间。

 此次下跌期间成交量下降的事实表明,抛售压力背后可能缺乏强有力的支撑。此外,相对强弱指数 (RSI) 有所回落,徘徊在 45 左右,表明比特币既未超买也未超卖。这种中性动能并非突然下跌,而是暗示可能企稳。然而,整体技术面来看,比特币确实存在看跌倾向。 

在未能创下新高后,市场正在走弱,由于山寨币也表现疲软,比特币可能继续面临压力。200 EMA 位于 105,000 美元,是需要关注的成败关口,如果进一步跌向 108,000-106,000 美元,投资者信心将面临考验。 

综合来看,比特币正在下跌,但目前还没有突破10万美元大关的危险。10.5万美元的结构性支撑位提供了相当大的缓冲。只有跌破这一水平,才会讨论比特币跌至六位数的跌幅;这仍然有可能,但目前的情况并非如此。

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AI Agent Claude Led a Store to Losses and Fired a Human

The AI agent Claude, developed by Anthropic, served as the manager of a real retail store, Andon Market in San Francisco, during an experiment by startup Andon Labs. The experiment aimed to test if a large language model could manage a business, including personnel and financial decisions. Claude ultimately recommended firing an employee for repeated lateness (17 out of 23 shifts), marking a documented case of an AI making such a personnel decision. However, the process revealed significant limitations. Claude initially failed to notice the lateness pattern because company guidelines vanished from its limited working memory, showing it can "forget" crucial information. Furthermore, the AI was generally overly lenient, even telling employees not to worry about being late. The final decision to terminate was not autonomous; a human manager had to prompt Claude to review the guidelines and, after Claude initially suggested a warning, explicitly pointed out that previous talks had failed, effectively guiding the AI to the dismissal recommendation. Financially, the store's funds dropped from about $100,000 to roughly $61,186 over five months, partly attributed to Claude's soft management and questionable business choices. An employee described working under AI management as a nauseating experience, driven by necessity, and expressed hope that AIs don't become human bosses. The experiment concludes that while AI can execute managerial actions, it currently acts more as a tool requiring significant human oversight and prompting rather than a full replacement for a human leader, though the line between assistant and manager is blurring. The case aligns with previous tests showing Claude's systemic leniency and difficulty maintaining business rules without constant human cues, highlighting architectural limits like constrained context windows rather than true "forgetfulness."

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