“错过2021的柴犬暴富潮？SHIB曾暴涨1000万倍 55美元变566万美元的神话能否重演？

金色财经Published on 2025-06-03Last updated on 2025-06-03

柴犬火箭

文章来源：公众号：海绵进化论

柴犬基金 (SHIB) 在 2021 年牛市中表现惊人，足以载入史册。该项目让几位早期投资者成为了千万富翁。从事普通工作的普通人仅用极少的投资就积累了世代相传的财富。SHIB 的白手起家故事巩固了它“百万富翁制造者”的美誉。

只需 55 美元购买一只柴犬，你今天就能成为百万富翁

柴犬钱

无可否认，柴犬（SHIB）在短时间内取得了令人难以置信的成功。该资产的价格在推出后的短短几个月内就飙升。

如果您在2020年8月2日购买了价值55美元的SHIB，那么这笔投资的价值将达到102万美元。您的资金将增长1,867,983.4%（186万%）。

柴犬投资回报率

SHIB 于 2021 年 10 月 28 日创下 0.00008616 美元的历史新高。如果您在 SHIB 资产价格最高时卖出价值 55 美元的 SHIB 代币，您将获得 566 万美元的利润。在这种情况下，您的投资将增长 10,303,317.8%（10.30 百万倍）。

希布·罗伊

购买该资产是否太晚了？

许多人认为，柴犬（SHIB）这艘船已经起航，现在利用这种以狗为主题的加密货币发财为时已晚。另一些人则认为，SHIB 仍有很大的增长空间。SHIB 较 2021 年的峰值下跌了 83.6%。如果该资产能够重回历史高位，那么将会带来丰厚的利润。

SHIB 价格上涨的最大障碍之一是其巨大的供应量。如果项目团队能够大幅减少供应量，我们或许会看到类似 2021 年那样的价格上涨。

减少供应可能还不够。价格上涨需要相当大的需求。供应下降和需求上升可能会将SHIB的价格推向新的高度。

Trending Cryptos

ctr
CitreaCTR
wstusdt
wrapped stUSDTWSTUSDT
apr
aPrioriAPR
ctx
Cryptex FinanceCTX
audio
AudiusAUDIO
mantra
MantraMANTRA
xvs
VenusXVS
waxl
AxelarWAXL
bill
Billions NetworkBILL
pyth
PYTH (Pyth)PYTH
rune
THORChainRUNE
velodrome
Velodrome FinanceVELODROME
brev
BrevisBREV
zrx
ZRX（0X）ZRX
cake
PancakeSwapCAKE

Related Reads

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.

marsbit1h ago

A Group of Suzhou Engineers Unexpectedly Attain Financial Freedom

marsbit1h 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.

marsbit1h ago

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

marsbit1h 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3h ago

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

Odaily星球日报3h 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.

ambcrypto3h ago

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

ambcrypto3h 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

How to Buy SHIB

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.

活动图片

Top Questions