比特币创新高,但山寨币表现更好!——山寨币季节即将到来?

ambcryptoPublished on 2025-07-11Last updated on 2025-07-11

Abstract

而现在,这一轮熟悉的节奏,似乎又来了。

随着比特币相对于整体加密市场的强势逐步减弱,山寨币的上涨势头正日益增强。这一趋势可能表明,投资者的风险承受能力正在提升,市场中的投机行为也有所回温,尤其体现在对高贝塔资产的偏好上。

在当前阶段,越来越多交易员开始将关注点转向那些具有更大上涨潜力的山寨币。从历史表现来看,当比特币动能减弱时,交易者往往会通过加大对另类加密资产的资金投入,以此对冲风险或捕捉更高的收益机会。

在比特币价格稳定于 11 万至 11.2 万美元区间的同时,山寨币市场却出现了明显的剧烈波动。这种“主稳副动”的行情,往往是山寨币阶段性反弹的典型特征之一。

同时,ETF 的资金流入也在大幅增长。数据显示,比特币的资金净流入达 2 亿美元,而以太坊的流入量则略高,达到 2.11 亿美元。值得一提的是,SOL(Solana)的质押型 ETF 产品也呈现出同步增长的态势。

尽管市场仍存在一定的噪音和质疑声音,但这些数据从侧面印证了一个趋势:如同许多交易者预期的那样,一轮更长周期、更广范围的山寨币季节,或许已经悄然开启。

鲸鱼比你先知道行情?

另一个预示山寨币季节来临的重要信号,来自鲸鱼与散户交易行为的分化。

自 6 月底以来,鲸鱼用户的买入力度持续上升,其活跃度与散户之间的比例一直维持在 1.1 以上,意味着鲸鱼的买入规模远超零售用户。这一现象暗示,大资金正在提前布局山寨币市场。

与此同时,比特币价格也在震荡上行,带动部分主流山寨币同步上涨。这种价格联动,以及鲸鱼持续加仓的行为,表明市场正处于一个相对强势的阶段。

根据 Alphractal 的热力图,近期鲸鱼在多个关键山寨币上的活跃度明显增强,涉及项目包括 Algorand(ALGO)、Chainlink(LINK)和 Uniswap(UNI)。相较之下,散户交易行为更为零散,整体结构较为松散。

这种买盘上的不平衡,或许透露出更大的资金迁移信号。在历史周期中,大型鲸鱼的提前布局,往往预示着关键的市场转折点即将到来。

比特币统治力下滑,山寨币迎来窗口?

最后一个值得关注的核心信号是:比特币市场主导地位的转变。

该指标此前形成了一个“等高点结构”,预示市场短期可能出现反转。此后,该形态被打破,主导率开始走低,趋势线出现下破,形成了明显的“更低的高点”。这是一个典型的市场结构松动信号,意味着比特币相对其他资产的强势正在减弱。

数据显示,比特币的主导率已从近期高点的 66% 回落至 64%。虽然幅度看似不大,但足以说明:资金正在从比特币流出,并开始流向更具弹性的山寨币市场。

投机回归?山寨币正在接棒行情主力

随着比特币相对整体大盘的强势走弱,山寨币的热度逐步升温。这种资金转移背后,往往意味着市场的风险偏好正在提升,投资者的投机意愿也在增强,尤其是在高贝塔系数资产上的布局。

当前,交易者正将目光投向那些具备更大上涨潜力的山寨币标的。从历史经验来看,每当比特币动能减弱,市场中的一部分资金就会主动寻求更高波动性资产,以捕捉更大的收益空间。

而现在,这一轮熟悉的节奏,似乎又来了。

Trending Cryptos

Related Reads

Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

A mysterious anonymous AI model named "Ox Alpha," nicknamed "Cow is Coming" by Chinese netizens, has appeared on OpenRouter, sparking widespread speculation. The model offers a 1 million token context, supports text, image, and video inputs, can call tools, and is currently free. Its standout feature is strong coding ability. Initial tests on the DeepSWE benchmark, which evaluates real-world software engineering tasks, showed an 80% pass rate on a subset of tasks, reportedly nearing top-tier code models. However, follow-up tests yielded a 63% score, with variations attributed to different task sets and configurations. The model's true developer is a major topic of debate. The prevailing theory points to Zhipu AI's unreleased GLM-5.3 Flash or its multimodal variant. Evidence cited includes identical visual token consumption patterns with GLM-5V-Turbo for videos, a consistent offset in text token counts compared to GLM-5.3, and similar behavioral traits like refusing audio processing. Zhipu has a precedent of anonymous testing. Simultaneously, another anonymous model, "korrine," appeared on Code Arena, with guesses ranging from Moonshot's Kimi K3.1 to models from Qwen or MiMo, adding to the industry's guessing game. This trend of anonymous "undercover" testing allows for unbiased performance evaluation in platforms like Arena and provides real-world, high-pressure testing through tools like OpenRouter before official release. It also serves as an effective marketing tactic, prolonging discussion through suspense. If Ox Alpha is indeed a "Flash" model, its performance raises expectations for the full-scale version's potential.

marsbit1h ago

Mysterious "Ox Alpha" Large Model Goes Viral with Limited-Time Free Access

marsbit1h ago

Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

DeepSeek has announced a significant change to its API pricing model, effective August 23. The new policy removes peak/off-peak distinctions on weekends (Saturdays and Sundays), charging the lower off-peak rate for the entire two-day period. This adjustment has sparked mixed reactions within the developer and professional communities. For developers and businesses heavily reliant on DeepSeek's V4-Flash and V4-Pro APIs, this is welcome news. It allows them to schedule bulk processing tasks on weekends without the higher peak-hour costs, potentially halving their API bills for such workloads. Some users have celebrated the move for making weekend work more cost-effective. However, the announcement has also raised concerns among employees. There is apprehension that companies, particularly in cost-sensitive sectors like AI-powered short drama production, might reorganize work schedules to align with these new cost incentives. Instances are already emerging where teams schedule high-token tasks during cheaper nighttime hours or adjust staff shifts. This has led to worries about a potential shift towards weekend workdays and weekday time-off, prioritizing cost savings over traditional work-life balance. Debate has ensued regarding the practicality of such schedule changes, with questions about increased communication overhead and overall efficiency. Speculation about DeepSeek's motives for the change includes theories that peak pricing correlates with internal model training schedules, though others counter that training is largely automated. The new pricing structure is now in effect, prompting users to reconsider their task scheduling strategies.

marsbit2h ago

Breaking News: DeepSeek Announces All-Day Off-Peak Pricing on Weekends, Making Weekend Work More Cost-Effective?

marsbit2h ago

Just Now, The World's First Human vs. Robot Tennis Match Begins, Robot's Desperate Save Leaves Zheng Jie Astonished

Just now, the world's first human vs. robot tennis match began, featuring stunning robotic saves that left tennis star Zheng Jie in awe. This historic event, part of the second World Humanoid Robot Games and broadcast live globally by China Media Group, marked a pivotal moment in Chinese technological innovation and embodied artificial intelligence. The match featured both mixed human-robot doubles and a groundbreaking singles match between Zheng Jie and the "Galaxy Xingzai" humanoid robot developed by Galaxy General. The robot demonstrated impressive skills including serving, forehands, backhands, and strategic court movement, with serves exceeding 100 km/h. It exhibited remarkable adaptability, recovering from a fall to continue play and handling slices and spins. The doubles match highlighted its ability to coordinate dynamically with a human partner. The event's significance extends far beyond a novelty match. Tennis represents an ultimate pressure test for embodied AI, demanding real-time integration of perception, decision-making, full-body motion control, and live博弈 within fractions of a second—a stark contrast to the discrete, contemplative environment of board games like Go mastered by AlphaGo. It directly confronts Moravec's paradox, showcasing AI's move from digital cognition to physical execution. This capability is powered by Galaxy General's proprietary "Galaxy Star Brain" (AstraBrain) model. Its key innovation is a unified architecture that integrates high-level task understanding/tactical decision-making ("brain") and dynamic whole-body motion control ("cerebellum") into a single model, eliminating latency and information loss between separate modules. The model was trained using a two-step process via the "Galaxy Star Workshop" platform. First, it learned foundational movement priors from "imperfect" human motion data (both amateur and professional). Second, it underwent massive-scale evolution in a virtual tennis simulator where multiple AI agents played millions of games against each other. Through this adversarial training, skills like极限救球and recovery from falls emerged autonomously without explicit programming, before being transferred to the physical robot. This "AstraTennis" moment symbolizes a major leap: a decade after AlphaGo conquered the digital world, embodied AI from China has now demonstrated it can operate under the extreme, unpredictable physical pressures of real-world competition.

marsbit2h ago

Just Now, The World's First Human vs. Robot Tennis Match Begins, Robot's Desperate Save Leaves Zheng Jie Astonished

marsbit2h ago

Trading

Spot

Hot Articles

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 ETH (ETH) are presented below.

活动图片