12 月 ETH 价格预测 · 发帖挑战 📈
12 月降息预期升温,ETH 热点回暖,借此窗口期发起行情预测互动!
欢迎 Gate 社区用户 —— 判趋势 · 猜行情 · 赢奖励 💰
奖励 🎁:预测命中的用户中抽取 5 位,每位 10 USDT
时间 📅:预测截止 12 月 11 日 12:00(UTC+8)
参与方式 ✍️:
在 Gate 广场发布 ETH 行情预测帖,写明价格区间(如 $3,200–$3,400,区间需<$200),并添加话题 #ETH12月行情预测
发帖示例 👇
示例①:
#ETH12月行情预测
预测区间:$3,150-$3,250
行情偏震荡上行,若降息如期落地 + ETF 情绪配合,冲击前高可期 🚀
示例②:
#ETH12月行情预测
预测区间:$3,300-$3,480
资金回流 + L2 降费利好中期趋势,向上试探 $3,400 的概率更高 📊
评选规则 📍
以 12 月 11 日 12:00(UTC+8)ETH 实时价格为参考
价格落入预测区间 → 视为命中
若命中人数>5 → 从命中者中随机抽取 5 位 🏆
Bitcoin Mining Costs: Lebanon Emerges as Unlikely Champion in CoinGecko Report
Following the downturn in 2022, the Bitcoin mining industry witnessed a noteworthy resurgence. Nevertheless, the increased energy consumption and mining activities’ costs have ed numerous government concerns. While certain regulatory bodies are devising approaches to improve mining efficiency, others are contending with elevated expenses in producing each Bitcoin.
A notable global disparity is evident in individual Bitcoin miners’ household electricity costs. The expense of generating a single Bitcoin ies significantly across different countries. For instance, the cost of producing one Bitcoin in Italy amounts to $208,560, whereas in Lebanon, it is approximately 783 times more economical, as indicated by a recent study.
Released on August 17th, the report by CoinGecko highlights that just 65 nations offer profitability to solo Bitcoin miners based exclusively on household electricity expenditures. Among these countries, 34 are situated in Asia, while Europe is represented by only five.
Nevertheless, individual Bitcoin miners encounter a divergence from the global mean of household electricity expenses. In the report, Italy was pinpointed as the most expensive nation for domestic Bitcoin mining, costing $208,560 per Bitcoin. At the moment of the report’s release, the expense of producing one Bitcoin in Italy equals the value of around eight Bitcoins. Subsequently, Austria ranked second with a cost of $184,352, followed by Belgium at $172,382.
Meanwhile, the cost of household electricity in Lebanon enables individual miners to create a single Bitcoin for a mere $266. According to this information, the disparity suggests that this expense is roughly 783 times more affordable than the cost of Bitcoin mining in Italy.
Subsequently, Iran came in next, with a manufacturing expense of $532 per Bitcoin. Nevertheless, despite Iran’s legalization of Bitcoin mining in 2019, the nation has intermittently prohibited authorized activities on multiple occasions, citing the strain on energy networks during the winter season.
What is the status of the United States in this regard?
Furthermore, the report from CoinGecko highlighted the United States’ placement within a moderate range. This indicates that the expense of mining the primary cryptocurrency in the U.S. is relatively low. Household Bitcoin mining in the United States averages approximately $46.28K per Bitcoin.
It’s crucial to emphasize cryptocurrency miners’ notable advancements in the United States. According to a recent report, they are actively working to establish a new influence within U.S. policy discussions. This endeavor involves launching the Digital Energy Council, an organization to advocate for favorable policies, particularly when regulatory agencies and Congress are wrestling with the forthcoming stages of cryptocurrency regulation.
Is there a trend toward increased efficiency in Bitcoin mining?
A notable breakthrough has occurred in Bitcoin mining, courtesy of Quantum Blockchain Technologies [QBT], a UK-based firm. They have reached a significant achievement by introducing a notable computational method referred to as Message Scheduling For Cryptographic Hashing [MSFCA], aimed at substantially boosting the efficiency of Bitcoin mining.
Considering the ongoing rise of artificial intelligence and the significance of Bitcoin mining, there exists a potential for the industry to experience an elevation in the effectiveness of mining operations. Over a span of two years, the company has effectively created a iety of patented methodologies.
This achievement resulted from leveraging the expertise of approximately twenty specialists from diverse fields, including quantum computing, machine learning, cryptography, ASIC chip design, and algorithm optimization theory. Notably, two techniques developed by QBT’s machine learning teams stand out.