SHIB 价格大幅下跌, 还有反转吗,

金色财经Pubblicato 2024-08-08Pubblicato ultima volta 2024-08-08

尽管受 BTC 复苏的推动,SHIB 价格略有回升,但其在关键 EMA 处仍面临强大阻力。若要再次反弹,则需要重新进入下降楔形。

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在最近的市场崩盘中,SHIB 价格几乎触及年度低点。然而,比特币的复苏使整个市场呈上行趋势。尽管市场一片绿意,但最新分析显示,未来几天 SHIB 和其他加密资产可能会持续低迷。Shiba Inu 从下降楔形中跌落,这是一种罕见的现象,表明存在极端的看跌压力。尽管复苏幅度很小,但 Shiba Inu 价格走势显示出疲软迹象,可能比当前价格下跌 16%。

SHIB 价格面临拒绝

柴犬价格目前的趋势是下跌。它一直在下跌通道模式中持续下跌,表明看跌势头强劲。然而,8 月 3 日,价格从下跌楔形中跌落,这种情况很少见,因为下跌楔形通常预示着潜在的看涨逆转。

Shiba Inu 的价格走势在 0.000012 美元左右获得支撑,随后在 0.00001 美元获得更强的支撑位。另一方面,50 天(0.00001425 美元)和 200 天(0.00001628 美元)指数移动平均线(EMA) 存在直接阻力。

如果 SHIB 价格未能重新进入下跌楔形,该资产可能下跌 18% 至之前 6 个月低点 0.00001082 美元。

相对强弱指数 (RSI) 为 47.61,接近中立区,表明该资产既未超买也未超卖。Chaikin 资金流 (CMF) 为 0.03,表明资金流略有正向,这可能是买入兴趣的早期迹象。

最近小幅上涨过程中成交量持续下降,表明存在一定的量价背离,除非出现重大突破,否则看跌趋势将继续。

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Shiba Inu 价格预测显示,如果价格超过 0.00001344 美元,它可能会突破下跌楔形,再次使偏向看涨。突破 50 EMA 可能会使其突破下跌楔形,达到 0.00001625 美元和 0.000018 美元。

72.4 亿美元代币的链上风险分析

Coinalyze的数据显示,SHIB 未平仓合约在过去 24 小时内下跌了 4.54%,表明资金正在流出柴犬市场。这表明最近的小幅上涨趋势可能即将结束,随后熊市趋势将继续。

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因此,超过 26,000 名 Shiba Inu 持有者面临危险,因为他们持有的 14.29T(1.9 亿美元)代币可能很快会陷入未实现损失。根据IntoTheBlock的数据,这些代币将加入过去近三周内处于水下的超过 542T(72.4 亿美元)代币。

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如果购买压力和交易量增加,则可能会推翻当前的看跌论点并推动 SHIB 价格走高。

简单来说

在过去 18 天内,71%(542T)的 Shib 持有者陷入亏损。 柴犬图表上的看跌情绪可能会导致这一数字持续增加,如果未来 SHIB 下跌 16%,价值 1.9 亿美元的 SHIB 代币将面临无利可图的风险,从而加入过去近三周内处于水下的超过 542T代币。

我认为 SHIB 小幅上涨趋势即将结束,预计短期内潜力有限,市场支持看跌前景。长期来看需要关注后续市场波动与情绪变化,目前熊市趋势将会持续。

Crypto di tendenza

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A Guide to Grayscale’s ‘Bottom Fishing’: Using Cash Flow to Assess Cryptocurrency Value

**Title:** Grayscale's Guide to Bottom-Fishing: Valuing Cryptoassets Using Cash Flows **Summary:** This report by Grayscale Research presents a fundamental valuation framework for cryptocurrency assets, moving beyond pure speculation to analyze those with underlying cash flows. It distinguishes between "commodity-like" assets (e.g., Bitcoin) and "cash-flow" assets, primarily within DeFi. Using the leading decentralized lending protocol Aave as a case study, the analysis applies traditional financial methodologies like Discounted Cash Flow (DCF) and Price-to-Earnings (P/E) multiples. Key findings indicate that AAVE tokens are currently undervalued. Despite recent challenges, the protocol's strong revenue growth, ~50% net profit margin, and diversified treasury support a fundamental valuation range of $80-$100 per token (compared to a ~$75 market price at the time of writing). In a base-case scenario driven by stablecoin adoption and regulatory clarity, the fair value could rise to around $175 within a year. The report emphasizes that protocol success does not automatically translate to token value. It critically examines the "value capture" mechanisms—such as buybacks, burns, and staking rewards—that channel protocol profits to token holders. Furthermore, it addresses the legal and governance complexities of Decentralized Autonomous Organizations (DAOs), noting their difference from traditional corporate equity but highlighting how robust, transparent governance can align protocol economics with holder interests. The conclusion is that the crypto market is maturing, with capital increasingly flowing towards projects with demonstrable fundamentals, real adoption, and disciplined capital allocation, creating opportunities for value-based investors.

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After US-Iran talks led to a temporary ceasefire and framework for reopening the strategic Strait of Hormuz, U.S. stocks rose on June 18, with the Nasdaq gaining 1.9%. The semiconductor and AI hardware sectors outperformed. This rally stemmed primarily from reduced geopolitical risk, which lowered oil prices and inflation expectations, easing discount rate pressure on high-valuation growth stocks like tech. The key question is not whether tech rebounded, but the nature of the rebound. The market appears to be selectively repricing AI infrastructure plays rather than broadly chasing AI narratives. Gains were concentrated in chips, optical interconnects, memory, and domestic manufacturing—segments tied to tangible data center build-outs and capital expenditure. Intel's ~10% surge, fueled by a Trump statement about potential Apple collaboration, exemplifies this mixed dynamic. It reflects policy catalysts and domestic manufacturing sentiment more than confirmed fundamentals. Meanwhile, strong earnings from companies like Astera Labs (revenue up 93% YoY) provided concrete evidence of AI-driven demand in hardware. In essence, the rally represents a risk-premium recalibration. Lower Middle East tensions opened a valuation repair window, and capital flowed first into AI infrastructure segments with visible near-term revenue streams. The sustainability of this move hinges on upcoming Q2 earnings, specifically continued strength in cloud provider capex, AI server orders, and hardware company guidance. Policy hopes alone are insufficient; the cycle needs validation from orders and financials.

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While the AI community celebrates Noam Shazeer, co-author of the "Attention Is All You Need" paper, joining OpenAI as Head of Architectural Research, the company's audited financials reveal a starkly different reality. In 2025, OpenAI reported $13.07 billion in revenue but a massive $20.92 billion operating loss. Even excluding a one-time accounting charge, the cash burn is severe, with $3.7 billion consumed in Q1 2026 alone. This high-profile hiring occurs against a backdrop of significant internal research talent drain, with key founders and researchers departing as the company's focus shifts from exploratory research to product iteration. Meanwhile, OpenAI's fundamental business model faces a deep crisis. It paid Microsoft $10.59 billion for compute in 2025, while its vast user base of 9 billion weekly actives includes only 50 million paying customers, making growth a direct driver of escalating costs. The article argues Shazeer's recruitment is less about technical necessity and more about crafting a compelling narrative for OpenAI's upcoming IPO, aiming to justify a rumored $1 trillion valuation to future public market investors. It contrasts OpenAI's strategy with Anthropic's reported path to profitability, which relies on a strong enterprise customer base and cost control, rather than star-powered narratives. Ultimately, the piece concludes that while Shazeer's architectural work may take 1-2 years to materialize, OpenAI's financial clock is ticking much faster, with its massive losses undercutting the celebratory headlines.

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505 Totale visualizzazioniPubblicato il 2024.12.11Aggiornato il 2026.06.02

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