山寨币大幅反弹、SUI 生态财富效应良好

币界网Pubblicato 2024-08-09Pubblicato ultima volta 2024-08-09

币界网报道:

比特币在过去 24 小时内上涨了 6.94%,Grayscale 信托新成员的加入和俄罗斯加密挖矿合法促进了整个市场的山寨币上涨幅度扩大。

  • 造富效应强的板块是: SUI 生态、次新币版块;

一、市场环境

比特币在过去 24 小时内上涨了 6.94%,目前交易价格为 61,200 美元。以太坊突破 2,600 美元,同期上涨 9.8%,结束了对 BTC 的连续下跌。

加密资产管理公司 Grayscale 已添加 Bittensor(TAO)和 Sui Network(SUI)到其加密投资产品列表中。同时,俄罗斯总统弗拉基米尔·普京签署了一项法案,使该国的加密货币挖矿合法化。俄罗斯似乎正在采取行动跟上美国的步伐。国家层面的比特币 FOMO 正在升温。多个利好消息促进了整个市场的山寨币上涨幅度扩大。

二、造富板块

1)板块异动:SUI 生态(SUI、SCA、CETUS)

主要原因:

  • 加密资产管理公司 Grayscale 已添加 Bittensor(TAO)和 Sui Network(SUI)到其加密投资产品列表中;

  • 其主网将集成基于 DAG 的共识算法 Mysticeti,将在未来几周内分几个步骤展开升级过程。

上涨情况:SUI、SCA、CETUS 24 小时内分别上涨 30.22%、25.79%、19.12%;

影响后市因素:

  • 未平仓合约量的增减:以 SUI 为例,SUI 的未平仓合约量昨日自从低位开始上涨,说明热钱涌入。通过 tv.coinglass 网站看合约数据了解主力资金的动向,首先看观察合约上净多头的增量有多少;再看合约数据上是否形成合约多头净增加、OI 上涨,且交易量放大的情况。如果是的话,说明主力持续在买涨,可以持续持有。

  • 消息面影响: 关注项目方近期宣传的产品更新、合作关系,如果举行 AMA 可以考虑提前布局相关资产,因为近期大概率会利用流动性转好的环境发布利好消息。

2)板块异动:次新币版块(ZRO、ZK、REZ)

主要原因:

  • 新币超跌反弹,ZRO、ZK、REZ 等高市值新币价格已在市场的负面情绪下远远低于了盘前市场预期。随着市场情绪被逐渐消化,投资和定价逐渐回归理性,ZRO、ZK、REZ 在反弹中快速回升。

影响后市因素:

  • LayerZero、ZKsync、Renzo 等新币项目方是否能有进一步的动作来释放利好持续稳固币价,以及市场的负面情绪被消化的程度将直接影响新币价格。

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 semiconductors lead the gains, are funds buying into AI orders or a macroeconomic rebound?

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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The Entire Internet Hails Noam's Joining, But OpenAI's Loss Bill Just Got Thicker

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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544 Totale visualizzazioniPubblicato il 2024.12.12Aggiornato il 2026.06.02

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