加密货币市场蓄势待发-最新加密货币新闻

币界网Pubblicato 2024-08-19Pubblicato ultima volta 2024-08-20

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随着夏季结束,分析师预计加密货币市场将出现一段时期的重大活动。反思过去的走势,例如中国和埃隆·马斯克引发的2021年下跌的复苏,专家们认为我们可能会看到类似的情况。Mt Gox等主要破坏性因素的消除为加密货币的潜在看涨趋势扫清了道路。那么,接下来会发生什么?

内容隐藏1比特币(BTC)预测2 ETH价格预测3投资者应关注哪些关键因素?

比特币(BTC)预测

在分析时,领先的加密货币比特币的价值为59000美元。尽管最近价格停滞不前,但Glassnode的数据显示,74%的BTC已经六个月没有移动了。Nansen分析师表示,如果这一趋势继续下去,美联储可能会考虑降息,从而可能提振市场。访问COINTURK FINANCE获取最新的金融和商业新闻。

Rekt Capital表示,比特币将在下个月内出现上行突破。尽管它一直在努力突破6万美元大关,但它也设法避免跌至关键的55724美元支撑位。价格一直在SMA50和55724美元之间波动,但突破61425美元可能会使其达到65660美元和70000美元。

相反,如果失去支持,比特币可能会回落到49000美元,引发快速销售,并可能在2024年创下新低,特别是对尚未恢复的山寨币的影响。

ETH价格预测

以太坊已经看到Glassnode ETF的强劲退出,但渠道仍然相对稳定。疲软的市场走势考验了ETH 2500美元的支撑位。保持这一水平和随后的复苏是积极的。EMA20为2729美元,价格为2616美元,突破EMA20可能会重新回到2850美元的水平,引发类似于比特币可能反弹至70000美元的运动。然而,如果ETH失去2500美元的支撑,可能会跌至2309美元。

投资者应该关注哪些关键因素?

对于希望驾驭即将到来的市场走势的投资者来说,应该密切关注几个关键因素:

    美联储对利率调整的立场。比特币突破61425美元阻力位的能力。以太坊在2500美元支撑位附近的稳定性。市场对任何重大破坏性事件的反应。

通过关注这些因素,投资者可以在这个潜在的动荡时期做出明智的决定。

总之,随着夏季的结束,加密货币市场似乎即将出现重大波动。比特币和以太坊显示出上升趋势的潜力,但投资者应该对关键的支撑位和阻力位以及更广泛的经济信号保持警惕。

您可以在Telegram、Twitter(X)和Coinmarketcap上关注我们的新闻。免责声明:本文所含信息不构成投资建议。投资者应该意识到加密货币具有高波动性,因此存在风险,应该进行自己的研究。

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Apple and the Power Rebalancing with 'The Microns': Dissecting the Profit Ledger Behind the iPhone

The article analyzes the shifting profit dynamics and power balance between Apple and memory suppliers like Micron within the iPhone supply chain. It highlights a social media post criticizing Apple for raising iPhone prices while blaming memory chip cost increases, despite historically paying suppliers like Micron very little. An estimated iPhone 18 cost breakdown is referenced. Historically, memory was a minor cost component. In 2017's iPhone X, memory accounted for only about 1.6-2.3% of the price, with Apple capturing nearly 50% net profit. Over time, memory's share of the Bill-of-Materials (BOM) cost has grown significantly, reaching an estimated 12-15% for the iPhone 17 series. The core driver of this change is soaring demand for memory from the AI industry, particularly for High Bandwidth Memory (HBM) and AI servers, which is diverting production capacity and squeezing supply for consumer electronics. Memory manufacturers, after enduring periods of low profits, now hold greater pricing power. This is reflected in their recent strong financials, like Micron's 84.6% gross margin. Apple CEO Tim Cook initially described the memory price pressure as unprecedented in his 40-year career, later calling it a "once-in-a-century flood," before Apple announced price hikes across several product lines, causing a significant stock drop. Elon Musk echoed Cook's sentiment about the dramatic cost surge. The article concludes that the era of memory suppliers being at the mercy of Apple's pricing power has temporarily reversed, thanks to AI-driven demand. It notes Apple is reportedly seeking to diversify its supply chain, including exploring chips from China's CXMT.

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Apple and the Power Rebalancing with 'The Microns': Dissecting the Profit Ledger Behind the iPhone

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Conversation with the Founder of 42 Macro: The Fed's 'Boiling the Frog Slowly' and the K-Shaped Economy

In a conversation with Anthony Pompliano, Darius Dale, founder of 42 Macro, discusses the Federal Reserve's monetary policy and the K-shaped U.S. economy. Dale characterizes new Fed Chair Kevin Warsh as a "dove in hawk's clothing," expecting the Fed to signal or enact policy tightening in the coming quarters to create room for later easing. He argues current economic signals, including high deficit spending, debt monetization, and credit growth, strongly indicate inflation is not on a credible path back to 2%, forcing the Fed to act. The discussion highlights the stark "K-shaped" economic reality. While top earners, buoyed by massive cash savings (up ~$8 trillion since pre-pandemic), continue robust spending, those at the bottom face severe financial strain, with delinquency rates on consumer loans reaching crisis-era highs. Dale attributes much of the current social and political anxiety to this divergence, driven by the "Cantillon effects" of monetary expansion, which disproportionately benefits asset owners. He emphasizes that in this environment of "financial repression," individuals must participate in asset markets to avoid being left behind. On equities, Dale notes a rotation from the "Magnificent Seven" tech giants into broader AI-exposed companies, while warning that the tech giants' massive capital expenditure cycles could eventually puncture over-optimistic cash flow projections. Dale concludes by stressing that the core desire across all economic strata is simply the dignity to provide for one's family, a goal currently undermined by systemic policies that act as a "wealth siphon" from the bottom to the top.

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Conversation with the Founder of 42 Macro: The Fed's 'Boiling the Frog Slowly' and the K-Shaped Economy

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The Domestic Answer to Space Computing Power: Photonics Are More Efficient, Musk and Huang's Approaches Are Too Roundabout

The Space Computing Race: A Photonic Advantage The competition for space-based computing has intensified, with figures like Elon Musk and NVIDIA's Jensen Huang highlighting its potential. Musk predicts solar-powered AI satellites could offer the most cost-effective computing by 2032. However, space presents extreme challenges for traditional electronic chips: radiation from cosmic particles can cause errors, the vacuum environment hinders heat dissipation, and limited solar power constrains energy-hungry systems. Photonic computing, using light instead of electrons, offers a promising solution. Its core advantages for space are threefold: 1) **Radiation Resistance**: Photons are charge-neutral, making them inherently immune to particle interference. 2) **Low Heat Generation**: Light propagation in waveguides generates minimal heat, bypassing critical thermal management issues. 3) **Low Power Consumption**: Photonic chips have near-zero static power draw, aligning perfectly with the energy constraints of satellites. Furthermore, for a given payload weight and volume, photonic systems can potentially deliver higher total compute density. Since they require less bulky cooling and power infrastructure, more space can be allocated to the compute units themselves. While photonic computing holds great promise, current industry approaches face hurdles like the memory-compute bottleneck (separate storage and processing) and challenges in large-scale integration. Engineering for space—withstanding launch vibrations and validating full system operation in orbit—remains a critical step. The path forward resembles the evolution from single GPUs to computing clusters, but via a photonic route. As electronic chips approach physical limits in miniaturization, photonic computing and optical interconnects (光算光联) may provide a key alternative to bypass these constraints and define the next generation of space-based computing capabilities.

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The Domestic Answer to Space Computing Power: Photonics Are More Efficient, Musk and Huang's Approaches Are Too Roundabout

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