Shiba Inu:我应该等多久才能达到0.01美元?

币界网2024-08-08 tarihinde yayınlandı2024-08-08 tarihinde güncellendi

币界网报道:

Shiba Inu拥有140万持有者,随着新投资者的加入,这一数字在全球范围内迅速增加。SHIB的大多数投资者都是普通人,他们梦想在代币达到0.01美元时成为百万富翁。

等待这种情况发生的时间很长,可能需要数年甚至数十年才能达到1美分的价格点。投资者已经为等待做好了心理准备,因为没有长期游戏,任何事情都无法盈利。

另请阅读:到2025年,比特币将达到20万美元,Shiba Inu将达到0.00005651美元

尽管其价格不断下跌,但唯一能让SHIB投资者感到安慰的是它的可负担性。交易员可以以几美元的价格积累数百万SHIB代币,这有助于他们在市场低迷期间保持理智。SHIB是一种触手可及的水果,它不会在投资者的口袋里烧一个洞。

现在,回到百万美元的问题,Shiba Inu需要多长时间才能达到0.01美元?在本文中,我们将解释令牌需要多长时间才能突破1美分里程碑的情况。

另请阅读:Shiba Inu:福布斯预测SHIB何时上涨670%,达到0.0001美元

SHIB:Shiba Inu什么时候能达到0.01美元?

来源:Instagram/Nickelpack/林健田

阻止Shiba Inu达到0.01美元大关的最重要因素是无休止的流通供应。SHIB目前拥有589万亿代币的流通供应,可供三代或更多代人使用。该代币需要消耗至少90%的流通供应量,才能考虑突破0.01美元。

另请阅读:Shiba Inu:如果SHIB收回0.000086美元,如何赚100万美元?

Shiba Inu需要保持稀缺,以可持续地提高其在指数中的价格。当代币稀缺时,供需会自动上升,导致其价格触及更高的电路。

您应该等待Shiba Inu达到0.01美元多长时间,答案是需要多长时间才能消除90%的流通供应。如果超过500万亿代币被发送到死钱包,投资者可以梦想0.01美元。

İlgili Okumalar

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

NVIDIA is set to launch its new Vera AI data center CPU in China as early as August, with high pricing. While this move offers a new option, it highlights China's continued dependence on foreign-controlled Arm architecture. In response, the Chinese semiconductor industry is increasingly turning to RISC-V as a strategic alternative for achieving high-performance computing autonomy. The article explores the concept of the "impossible triangle" in CPU development—balancing prosperity, control, and autonomy—and posits that RISC-V's open-source, modular nature offers a unique path to achieving all three. While RISC-V is already dominant in embedded systems, the focus is now shifting to data centers and AI workloads. China has become a global hotspot for RISC-V development, driven by AI-driven compute demand, supply chain concerns from export controls, cost benefits of open-source, and strong policy support. Multiple Chinese companies have reportedly crossed the key performance threshold of 15 SPECint per GHz, a benchmark for entering the high-performance CPU club. Progress extends beyond single-core benchmarks. Companies are developing complete computing subsystems, including commercial-grade coherent network-on-chip (NoC) technology and server processors with up to 40 cores that strictly adhere to the RVA23 standard to ensure software compatibility. Real-world applications are emerging in areas like video transcoding and edge AI. However, significant challenges remain. The RISC-V ecosystem faces fragmentation, immature toolchains and verification processes, and gaps in single-core performance and energy efficiency compared to mature x86 and Arm architectures. The formidable software moat, epitomized by NVIDIA's CUDA, is a long-term hurdle. In conclusion, while RISC-V cannot immediately replace offerings like NVIDIA's Vera, it represents a viable long-term path for China to develop a self-sufficient, high-performance CPU ecosystem. The journey is acknowledged to be long and arduous, requiring sustained effort to overcome technical and ecosystem challenges.

marsbit3 saat önce

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

marsbit3 saat önce

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

The author built a custom monitoring dashboard for Polymarket, a prediction market platform, and tested it with $1,600, achieving over 30% returns. However, the core argument is that Polymarket is not a good venue for traditional arbitrage. The dashboard has two main sections: a "Portfolio Dashboard" for tracking active positions with key metrics like total capital, P&L, and a risk-control module using a tier system (T1, T2, T3), and an "Opportunity Watchlist" for monitoring markets. The article details a critical structural trap in binary markets: a bet with a high perceived probability of success still carries a 100% loss risk if wrong. The author's T1/T2/T3 system is designed to manage this by limiting position sizes based on conviction and time horizon, emphasizing that high confidence should not equal high concentration. A key insight is the danger of "pseudo-diversification"—betting on different markets driven by the same underlying variable. The author concludes that Polymarket offers few true low-risk, arbitrage opportunities. It is instead a high-risk environment where wins can create a false sense of mastery, leading to large losses. The platform is better viewed as a training ground for honing judgment through disciplined, framework-driven betting rather than a reliable income source. The tools help transform intuition into structured, rule-based decisions to mitigate the risk of catastrophic errors.

marsbit6 saat önce

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

marsbit6 saat önce

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

**"WeChat AI Card" Practical Test Guide: Has the Era of AI Shopping Arrived?** WeChat has officially launched the "AI Exclusive Card," a feature integrated into its Workbuddy AI assistant. This card is designed to handle payments for AI-initiated purchases. Our hands-on test reveals it's not yet a tool for fully autonomous AI shopping, but rather a controlled payment layer for AI agents. The AI Card functions as an isolated sub-wallet within WeChat Pay. Users must bind the card and transfer funds into it from their main wallet. Crucially, every transaction requires explicit user confirmation via smartphone scan; AI cannot spend autonomously. Currently accessible through the Workbuddy agent, the card targets specific digital consumption scenarios: purchasing paid content (reports, data), calling paid APIs/tools, and subscribing to services. Its design prioritizes security and control by separating funds and mandating approval for each payment. We tested a real-world scenario: ordering bubble tea via Workbuddy using a "Meituan Life Assistant" skill. The process encountered multiple hurdles: high "skill" usage costs (exceeding daily free credits), and most importantly, while a payment was successfully initiated, the AI purchased an incorrect product (a mismatched group-buy coupon instead of the desired drink). This highlights the current limitation: the **AI Card only solves the payment step**. The broader challenge lies in the **AI agent's execution chain**—accurately understanding intent, navigating third-party platforms, selecting the right product, and ensuring proper fulfillment. The payment succeeded, but the purchase failed to meet the user's need. In conclusion, the WeChat AI Exclusive Card is a cautious, early-step experiment in AI commerce. It provides a secure, user-controlled payment method for agent interactions but is not yet capable of reliable, end-to-end complex purchases. For now, it's best used for low-value, low-risk digital services with careful user verification at each step. The vision of AI handling complete shopping tasks remains a work in progress.

marsbit9 saat önce

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

marsbit9 saat önce

İşlemler

Spot
Futures
活动图片