狗狗币(DOGE)牛市展现实力:为下一步行动积蓄力量

金色财经Published on 2025-01-06Last updated on 2025-01-06

原文来源公众号:豆鲨了

get?code=OWY3ZGNkZjNmY2RiYzhkOGMyMDhhNzA4Mjg0NjlhN2IsMTczNjE1MDAzOTMzNw==

狗狗币价格获得支撑

狗狗币价格从 0.3120 美元的支撑位开始新一轮上涨,就像比特币和以太坊一样。狗狗币能够突破 0.3350 美元的阻力位和 0.350 美元。它甚至在下行修正之前突破了 0.3880 美元的水平。

低点形成于 0.3750 美元,目前价格正在上涨。突破了 0.380 美元的阻力位。此外,在 DOGE/USD 对的小时图上,突破了连接看跌趋势线的阻力位 0.3825 美元。

该货币对攀升至从 0.3986 美元波动高点到 0.3750 美元低点的下行走势的 50% 斐波那契回撤位上方。狗狗币价格目前交易于 0.380 美元上方和 100 小时简单移动平均线上方。

上行方面,直接阻力位在 0.3880 美元附近,即从 0.3986 美元的高点到 0.3750 美元的低点的下行走势的 61.8% 斐波那契回撤位。多头的第一个主要阻力位可能在 0.3920 美元附近。

get?code=MjNhYmZlM2ZiODNmYzcxZDYxZDc0MTBjYzJhM2Y3ZDYsMTczNjE1MDAzOTMzNw==

下一个主要阻力位在 0.40 美元附近。收盘价高于 0.40 美元阻力位可能会使价格跌向 0.420 美元阻力位。如果价格继续上涨,可能会跌向 0.4380 美元。多头的下一个主要止损点可能是 0.450 美元。

DOGE 再次下跌?

如果 DOGE 的价格未能突破 0.3880 美元的水平,则可能会再次下跌。下行的初始支撑位在 0.380 美元附近。下一个主要支撑位在 0.3750 美元附近。

主要支撑位在 0.3650 美元。如果跌破 0.3650 美元的支撑位,价格可能会进一步下跌。在这种情况下,价格可能会在短期内跌向 0.350 美元甚至 0.3420 美元的水平。

Trending Cryptos

Related Reads

Ethereum's Next Decade in the Eyes of Vitalik

"Lean Ethereum" Long-Term Roadmap Unveiled by Vitalik Buterin On July 5, 2026, Vitalik Buterin published the "Lean Ethereum" roadmap, positioning it as Ethereum's third major evolution following the Merge. This multi-year, multi-phase upgrade aims to fundamentally transform Ethereum's core protocol through staged network upgrades extending to 2029. Key goals include achieving 1 gigagas per second L1 throughput (a massive increase from the current ~32 TPS), near-instant finality, and quantum-resistant cryptography. The plan involves transitioning Ethereum's security model from full transaction re-execution by all nodes to native verification via recursive STARK proofs. A major proposed change is replacing the EVM with a proof-friendly architecture like RISC-V or leanISA, though this remains a point of contention, especially with L2s like Arbitrum favoring alternatives like WASM. Other planned upgrades include a restructured state model with a large, cheap "warehouse" storage layer to drastically reduce fees for migrated applications, multi-dimensional gas pricing, and a new focus on making privacy a first-class, native protocol feature. While the roadmap significantly raises Ethereum's long-term technical ceiling, analysts note it does not directly address ETH's mid-term token economics or value capture. The plan's multi-year timeline means near-term price impact will likely depend on observable progress milestones, such as the successful deployment of the upcoming Glamsterdam gas limit increase, growth in L2 activity and blob usage, and trends in L1 fee revenue and ETH burn.

链捕手10m ago

Ethereum's Next Decade in the Eyes of Vitalik

链捕手10m ago

In Just 11 Days, Claude Rewrote Millions of Lines of Code, an Epic AI Engineering Feat Sparks Fury

In just 11 days, Bun's founder Jarred Sumner used Anthropic's Claude AI models to rewrite its million lines of code from Zig to Rust. This move sparked significant controversy, particularly from Zig's creator, Andrew Kelley, who publicly criticized Sumner's engineering practices and the decision to use AI for such a massive rewrite. Bun, a high-performance JavaScript/TypeScript runtime and rival to Node.js, was originally written in Zig. After Anthropic acquired Bun, the team encountered persistent stability and memory safety bugs in the Zig codebase. These issues, combined with Zig's strict policy against LLM-generated code, led to the decision to rewrite in Rust. The rewrite was executed using Claude AI tools at an estimated API cost of $165,000, dramatically reducing the expected time and financial cost. Andrew Kelley's response was scathing. He blamed the original bugs on poor engineering habits, calling Bun's Zig code a collection of "hacks on top of hacks." He expressed relief that Bun was no longer associated with Zig, fearing it would misrepresent the language and attract low-quality, AI-generated contributions. The tech community is divided; some view Kelley's critique as unprofessional, while others see it as a defense of engineering integrity. A major concern about the AI-driven rewrite is the resulting code quality. The translation from Zig left approximately 27,000 lines of unsafe Rust code, raising fears about long-term maintainability and technical debt. The debate centers on whether this project is a milestone in AI-assisted development or a future maintenance nightmare.

marsbit1h ago

In Just 11 Days, Claude Rewrote Millions of Lines of Code, an Epic AI Engineering Feat Sparks Fury

marsbit1h ago

From Auto Finance to Bitcoin to AI Engines: An Analysis of Cango's 'What Not to Do' Strategy

From Auto Finance to Bitcoin and Now AI: Cango's "What Not to Do" Strategy Cango, a Chinese auto finance platform that went public on the NYSE in 2018, is undergoing its third major transformation. After selling its entire auto business in 2024, it pivoted to become a large-scale Bitcoin miner, acquiring 50 exahash of mining rigs from Bitmain. However, its true goal was never Bitcoin, but owning and controlling energy infrastructure. Now, Cango is pivoting again. While most listed Bitcoin miners are leasing power to giant hyperscalers for AI training clusters, Cango is taking the opposite path. It has launched an AI inference subsidiary called EcoHash, focusing not on training but on distributed inference. The company's strategy hinges on the insight that over 70% of mining industry power is controlled by small, independent sites (10-50 MW), which are too small for hyperscalers but ideal for low-latency AI inference. Cango aims to partner with these small operators, providing the AI technology, customers, and financing through its EcoLink software layer, which can distribute workloads across sites for reliability. Cango maintains a hybrid model, running roughly 31.7 EH/s of Bitcoin mining for cash flow while aggressively cleaning its balance sheet—slashing long-term debt by 94.5% to $30.6 million and raising $75 million for its AI venture. Its first AI deployment will be at a 50 MW site in Georgia. The strategy faces skepticism, given the high costs of converting mining sites and the potential for an AI bubble. However, Cango's leadership believes discipline around "what not to do"—avoiding direct competition with hyperscalers in training—positions it to capture the long-tail demand for distributed AI inference power.

Foresight News1h ago

From Auto Finance to Bitcoin to AI Engines: An Analysis of Cango's 'What Not to Do' Strategy

Foresight News1h ago

Strategy's Bitcoin Sales Cap Far Exceeds $1.25 Billion: A Detail the Market Overlooked

The article discusses how MicroStrategy's potential Bitcoin sales go far beyond the announced $1.25 billion "reserve-building capacity." It clarifies a key distinction in the company's "BTC Monetization Program": selling Bitcoin to *build* a new dollar reserve (the $1.25B cap) versus selling to *replenish* the existing USD Reserve after it's used for expenses like preferred share dividends. The recent $216M BTC sale for dividend payments was a "replenishment," leaving the headline $1.25B building quota untouched. The plan actually outlines three potential funding pools from BTC sales: 1) Building the reserve ($1.25B cap), 2) Covering preferred share/ debt costs (no specified cap), and 3) Funding buyback programs (up to $20B). This means the structured sales potential exceeds $30 billion, not including uncapped replenishment sales. The piece argues this marks MicroStrategy's shift from a passive "buy-and-hold" Bitcoin proxy to an actively managed entity using BTC as a balance-sheet tool to manage its complex capital structure (common stock, preferred shares, debt, reserve). This creates new dynamics and potential conflicts, as actions benefiting one part (e.g., selling BTC to pay dividends) may pressure another (e.g., undermining the "never sell" narrative). Investors must now parse the company's specific terminology ("build" vs. "replenish") to understand the true scope of future BTC sales, which is significantly larger than the market initially perceived.

marsbit1h ago

Strategy's Bitcoin Sales Cap Far Exceeds $1.25 Billion: A Detail the Market Overlooked

marsbit1h ago

Goldman Sachs Report Deconstructs the Competitive Landscape of China's AI Large Models: Who Will Be the Long-Term Winner?

Goldman Sachs analyzes China's AI large language model (LLM) landscape, identifying key players and a strategic shift towards efficiency and global expansion. The report highlights that Chinese open-source/open-weight models are closing the performance gap with top global proprietary models at significantly lower cost, driven by architectural innovations like MoE. This enables a "two-tier" market: a high-end segment (e.g., GLM5.2, Qwen3.7 Max) with pricing at ~$1 per million tokens, and a low-end, price-sensitive global segment. Open-source strategies aid adoption but limit monetization, as deployments via third-party platforms (e.g., AWS Bedrock, Alibaba Cloud) may not generate direct revenue for model creators. The industry is thus moving towards "open-weight + community license" models with revenue-sharing to improve unit economics. Internationally, the focus is shifting from "token maximization" to ROI-driven enterprise adoption, particularly in non-U.S. markets. Major cloud platforms are integrating Chinese models (e.g., DeepSeek, MiniMax). Using a competitive framework based on pricing power, cost advantage, and financial strength, Goldman Sachs identifies **Zhipu AI** and **DeepSeek** as leaders in foundational text models, and **ByteDance** (with Seedance) leading in multimodal/video generation. **MiniMax** and **Kuaishou** are also rated favorably. The firm forecasts China's AI model API/subscription revenue growing from ~RMB 35bn (2026E) to RMB 879bn by 2030.

marsbit1h ago

Goldman Sachs Report Deconstructs the Competitive Landscape of China's AI Large Models: Who Will Be the Long-Term Winner?

marsbit1h ago

Trading

Spot

Hot Articles

What is DOGE M

Doge Matrix ($doge m): The New Breed of Community-Driven Cryptocurrency Introduction In the ever-evolving landscape of cryptocurrency, new projects constantly emerge, each aiming to capture the interest of investors and enthusiasts alike. One of the latest entrants to this domain is Doge Matrix, represented by the ticker symbol $doge m. This project has attracted attention thanks to its roots in the popular meme culture surrounding Dogecoin, establishing its place within the web3 space. This article aims to provide a comprehensive analysis of Doge Matrix, covering its overview, creator, investors, functionality, timeline, and notable aspects. What is Doge Matrix ($doge m)? Doge Matrix is a community-driven cryptocurrency project that seemingly builds upon the widespread appeal of Dogecoin, a digital currency known for its Shiba Inu mascot and its meme origins. While the overarching objectives of Doge Matrix are not extensively defined, it is characterized by a commitment to harnessing community involvement and support. Unlike traditional cryptocurrencies that often emphasize utility or intrinsic value through underlying technologies, Doge Matrix positions itself within a space that embraces the cultural phenomenon of cryptocurrencies, particularly appealing to those who resonate with the ethos of meme-based assets. Drawing on the strengths of the Dogecoin community, Doge Matrix operates as part of a broader ecosystem, inviting participation and engagement from users who share an interest in cryptocurrency and the digital landscape. Who is the Creator of Doge Matrix ($doge m)? The identity of the creator of Doge Matrix remains unknown. This lack of transparency is not an uncommon occurrence in the cryptocurrency space, where some projects are launched without revealing the identities of their founders. The absence of information regarding the founding team can raise questions among potential investors about the project’s accountability and direction. Who are the Investors of Doge Matrix ($doge m)? As it stands, there is no publicly available information detailing the investors or investment foundations that back Doge Matrix. The project appears to rely primarily on community support rather than institutional investment. This model aligns with the community-driven nature of the initiative, fostering an environment where the direction of the project is shaped by its participants rather than being dictated by a select few financial backers. How Does Doge Matrix ($doge m) Work? The specifics regarding the operational mechanisms of Doge Matrix are somewhat vague, reflecting a broader trend of projects in the meme coin space where innovative functionalities are not always clearly articulated. Nonetheless, Doge Matrix seems designed to tap into the existing cryptocurrency ecosystem by encouraging user participation while tapping into the familiar cultural references associated with Dogecoin. Its potentially unique characteristics derive from community interactions rather than technological advancements, emphasizing shared experiences and collaboration among token holders. While the exact innovations have not been explicitly outlined, the project appears to create a space where community members can engage, share ideas, and propel the project's potential forward. Timeline of Doge Matrix ($doge m) Reflecting on the project’s timeline reveals notable events that have defined its journey thus far: November 25, 2024: Doge Matrix reached its all-time high value, marking a significant milestone in its early history. January 1, 2025: Conversely, Doge Matrix hit its all-time low value, illustrating the volatility often associated with cryptocurrencies, especially in the early stages of a project's lifecycle. Ongoing: The project continues to be actively traded and supported by its community, although specific future milestones or objectives have yet to be disclosed. Key Points About Doge Matrix ($doge m) Community Focus At the heart of Doge Matrix is a commitment to community engagement. The project thrives on the premise of collaboration and shared objectives among its members, emphasizing the importance of collective effort. Unlike centralized projects that often have a defined leadership structure, Doge Matrix at present showcases a more fluid approach to governance, where every community member's voice matters. Volatility The cryptocurrency market is notorious for its volatility, and Doge Matrix is no exception. Its price history reflects significant fluctuations between high and low values, which is typical of many new cryptocurrencies but underscores the risks associated with investment in emerging tokens. Lack of Detailed Information One of the most striking features about Doge Matrix is the scarcity of detailed information regarding its technological underpinnings and operational mechanisms. This ambiguity necessitates that potential investors conduct thorough due diligence before engaging with the project. Conclusion In summary, Doge Matrix ($doge m) illustrates a new wave of cryptocurrency projects that lean heavily on community engagement and cultural relevance. While lacking in certain specifics—such as clear leadership, defined objectives, and detailed functionality—the project has managed to generate interest within the crypto community, leveraging the established appeal of meme culture. As with any investment in the cryptocurrency space, understanding the inherent risks and conducting comprehensive research is essential for potential participants. Doge Matrix stands as a reminder of the dynamic, sometimes unpredictable nature of the crypto industry, marked by constant evolution and enthusiasm for community-driven initiatives.

4.0k Total ViewsPublished 2025.02.03Updated 2025.02.03

What is DOGE M

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 DOGE (DOGE) are presented below.

活动图片