SHIB 2024 年最低水平？发生了什么、XRP 获得黄金交叉、ETH 走错路？

金色财经Published on 2024-08-20Last updated on 2024-08-20

市场正在慢慢进入新一轮复苏阶段，但 meme 币却并非如此

XRP 复苏
以太坊仍在推动

目前，柴犬币和其他 meme 币的市场行为非常相似，这种相似性并非偶然。DOGE 和 SHIB 都经历了一段较长的低波动盘整期，这不禁让人想问，市场对这些币的未来前景的总体看法是什么。

SHIB 和 DOGE 一直步调一致，都在各自的支撑位附近徘徊，没有表现出突破或大幅反弹的明显迹象。这种平行走势表明市场对这两种资产的看法相当相似，这可能是由于它们作为模因币的地位所致。

市场的总体状况可能是 DOGE 和SHIB行为协调的原因之一。更广泛的加密货币市场似乎处于不确定状态，比特币和以太坊在近期波动后趋于稳定。

这种不可预测性反映在 SHIB 和 DOGE 的表现上，这两款货币都难以获得关注。人们对模因币的兴趣普遍下降也可能是一个因素。

XRP 复苏

XRP 已达到黄金交叉，这是一项关键的技术基准。当资产价格有上涨潜力时，短期移动平均线穿过长期移动平均线就会形成这种模式。

许多交易员认为黄金交叉是长期看涨趋势的可靠预测指标。随着 XRP 的 50 天移动平均线准备突破其 200 天移动平均线，市场参与者正密切关注这一模式的全面发展。

这种交叉的重要意义在于，它表明当前的价格上涨趋势可能会持续下去，并可能很快带来更多收益。考虑更大的市场背景也很重要。虽然比特币和以太坊仍然是主要关注点，BTC 目前的交易价格约为 60,000 美元，ETH也经历了自己的起伏，但 XRP 等其他代币也开始吸引更多关注。

尽管目前没有明显的方向趋势，但 ETH 和 BTC ETF 的正向流入表明市场环境总体稳定。在黄金交叉确认后，XRP 可能会继续上涨，可能瞄准 0.70 美元至 0.80 美元之间的阻力位。

但如果市场条件发生变化或黄金交叉没有吸引足够的购买兴趣，XRP 可能很难突破这些水平。这可能会导致一段时间的横盘交易，甚至重新测试 0.50 美元左右的较低支撑位。

以太坊仍在推动

以太坊是市值第二大的加密货币，几乎没有市场吸引力，似乎走错了方向。该资产的交易量大幅下降，这种缺乏活动的情况反映在其整个网络中。投资者和开发者都对曾经充满活力的以太坊生态系统使用率突然下降表示担忧。

网络交易费用的下降是以太坊当前问题最明显的指标之一。通常用来衡量网络活动的 Gas 价格已降至不到 1 gwei。

交易量减少、用户参与度降低，当前情况表明网络利用率严重不足。造成这种活动量下降的原因有很多。首先，整个加密货币市场存在很多变动因素，比特币 (BTC) 等主要资产也难以预测。

投资者之所以持谨慎态度，是因为尽管 BTC 的交易价格接近 60,000 美元，但包括 ETH 在内的山寨币市场并没有表现出特别强劲的增长。以太坊生态系统中缺乏有趣的新举措或更新也可能是导致兴趣下降的原因之一。

Trending Cryptos

CitreaCTR

wrapped stUSDTWSTUSDT

Velodrome FinanceVELODROME

BrevisBREV

ZRX（0X）ZRX

PancakeSwapCAKE

A Group of Suzhou Engineers Unexpectedly Attain Financial Freedom

In Suzhou, a group of engineers from Lianxun Instruments, a leader in optical communication testing equipment, have achieved remarkable wealth after the company's IPO. Listed just two months ago on the STAR Market, the company's stock price surged approximately 30 times, making it the only A-share stock priced above 2,000 yuan. This surge created substantial fortunes for nearly 100 technical employees who held a collective 15.91% stake through employee stock ownership platforms, valued at over 36 billion yuan at the current market cap. Among them, nearly 40 became billionaires, while even the smallest holdings exceeded 5 million yuan in value. Founded in 2017 by Hu Haiyang, Yang Jian, and Huang Jianjun, Lianxun Instruments was established to address China's reliance on foreign high-end testing instruments. The company grew rapidly with a strong focus on R&D, where technical staff make up nearly 80% of its workforce. Early implementation of employee stock plans helped retain this core talent. The company's explosive growth is fueled by booming AI computing demand, with clients including major global optical module leaders. Its revenue skyrocketed from 276 million yuan in 2023 to 1.194 billion yuan in 2025, turning a profit in 2024. The IPO has also generated massive returns for early investors, including Suzhou's state-owned capital, which saw a hundredfold return. This story reflects a broader trend in China's markets, where technology firms in AI, semiconductors, and optics are creating new wealth, rewarding engineers and technical teams who are now central to modern capital-driven success stories, marking a shift from previous eras dominated by internet and real estate tycoons.

marsbit26m ago

A Group of Suzhou Engineers Unexpectedly Attain Financial Freedom

marsbit26m ago

NVIDIA's Annual 'Most Dangerous' Paper: AI Self-Replicating Code, Unlimited Leveling and Evolution

NVIDIA's "Red Queen Gödel Machine" (RQGM) paper proposes a potentially groundbreaking AI self-evolution framework. It breaks from the long-stalled concept of the "Gödel Machine," which required mathematically proven beneficial self-modifications, by adopting an evolutionary approach. The core, and most striking, innovation is that the AI does not just evolve its own code in a static environment. Instead, it co-evolves both the "student" (the task-performing agent) and the "examiner" (the evaluation system that judges it). This creates a dynamic, recursive self-improvement loop inspired by the biological "Red Queen Hypothesis"—where continuous adaptation is needed just to maintain relative fitness. The mechanism operates in epochs. Within an epoch, a fixed examiner evaluates all candidate code variants. At epoch boundaries, a new, potentially more rigorous examiner can replace the old one, but only if it proves statistically superior on a held-out "ground truth" dataset. This "controlled utility evolution" aims to ensure progress is measurable and grounded. The paper demonstrates RQGM's effectiveness across three domains: 1. **Code Generation:** It achieved a 71.7% test-set pass rate (improving over a 69.9% SOTA) while using 1.35-1.72x fewer computational tokens. 2. **Paper Writing:** In a subjective task, the co-evolved writer and reviewer achieved a 40.5% acceptance rate by a fixed human panel, up from 21.8%. 3. **Math Proofs:** It evolved more accurate graders (at 3x lower cost) and higher-scoring provers. Notably, RQGM also mitigated a known LLM bias where AI reviewers favor AI-generated content. By specifically rewarding reviewers that correctly rejected AI-written papers from a historical pool, the evolved system achieved impartiality while maintaining 80% accuracy. The research has sparked significant discussion about the acceleration of Recursive Self-Improvement (RSI). Some, like Anthropic's Jack Clark, have predicted a high probability of highly autonomous, self-evolving AI emerging by 2028. The paper suggests that when an AI begins to design its own evaluators and push itself toward ever-higher standards in a recursive loop, it may be taking a fundamental step toward redefining intelligence and autonomy.

marsbit52m ago

NVIDIA's Annual 'Most Dangerous' Paper: AI Self-Replicating Code, Unlimited Leveling and Evolution

marsbit52m ago

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.

Odaily星球日报2h ago

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

Odaily星球日报2h ago

Can BTC whales save Bitcoin after $4.06B ETF outflows?

Institutional demand for Bitcoin shows signs of weakening, with U.S. Spot Bitcoin ETFs experiencing seven consecutive days of net outflows, totaling roughly $4.06 billion in monthly outflows and reducing total ETF assets to $72.82 billion. This decline removes a key source of structural spot buying. However, large Bitcoin holders (whales) have shown increased accumulation activity as prices dipped below $60,000, with a significant spike in high-value transactions, suggesting they view the correction as a buying opportunity. This whale demand could help cushion near-term selling pressure. Conversely, Long-Term Holders are showing signs of capitulation, with metrics indicating realized losses and eroding conviction, which may eventually reduce future selling pressure. For a sustained recovery, broader spot market participation remains essential.

ambcrypto2h ago

Can BTC whales save Bitcoin after $4.06B ETF outflows?

ambcrypto2h ago

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.

marsbit3h ago

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

marsbit3h ago

Trading

Spot

Hot Articles

How to Buy SHIB

Welcome to HTX.com! We've made purchasing SHIBA INU (SHIB) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy SHIBA INU (SHIB) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your SHIBA INU (SHIB)After purchasing your SHIBA INU (SHIB), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade SHIBA INU (SHIB)Easily trade SHIBA INU (SHIB) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

11.1k Total ViewsPublished 2024.03.29Updated 2026.06.02

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of SHIB (SHIB) are presented below.