[Key interpretation] $30 billion bet on strong shock in cryptocurrency market, ETH bears took the lead in betting down

HuobiОпубліковано о 2022-10-11Востаннє оновлено о 2022-10-12

Анотація

The BTC price is close to the support level, paying attention to the variable expectations.

1. BTC local turnover rate increased

BTC's 4-hour K chart shows that although the recent price decline is limited, the trading volume has obviously rebounded. That is to say, BTC has a clear volume signal in the local price range, driving the price to lower prices. This shows that investors began to gradually increase the trading frequency at the decline stage, but did not obtain the corresponding low suction returns. Therefore, short-term investors can be the driving factor for BTC to decline.

2. BTC whale selling remains high

Recently, the proportion of BTC's whale sales has remained at a high level, and the value in the shock remained around 0.48, which means that BTC still faces great downward pressure. Although BTC's recent decline is limited, it is already the seventh trading day in the adjustment stage. At the same time, BTC dropped to about 19000 US dollars, and the rebound has not been confirmed. At present, the possibility of effective support under BTC is reduced, and attention is paid to the risk of sign retreat.

3. The trend of ETH is sluggish, seeking for further exploration

In terms of the daily K line, the ETH price continued to fall, and the closing price did not drop much, but the trend of downturn continued. At present, ETH maintains horizontal operation at the platform of 1280 dollars, and the horizontal trading time has reached 20 trading days, indicating that ETH still tends to shrink. In terms of trading volume, the current low trading volume suggests that investors are less enthusiastic about entering the market, and they still need to pay attention to the downside risk when holding currencies.

4. ETH multi empty ratio is still lower than 1

The strength of the long contract relative to the short contract is still low. After the long short ratio reached 0.897 on October 8, the value is still lower than 1. From October 9 to October 11, the long short ratio of ETH was 1.001, 0.951 and 0.932. According to this judgment, the strength of short sellers has obviously occupied an advantage, making it possible for ETH to break its position and fall for some time. Before ETH continues to fall below $1200, we have to pay attention to the position risk.

5. The overall market position rebounded

Recently, although the market is in the adjustment stage, the position data has not dropped significantly, but maintained at a short-term high. Numerically, the overall position data displayed on October 11 remained at $29.98 billion, the highest level since May. According to this judgment, although BTC, ETH and other mainstream currencies are in a weak operation stage, the market is on the eve of change. Therefore, in view of the low volatility of BTC and ETH at present, it may already be an important position for position adjustment to anticipate price fluctuation.

Пов'язані матеріали

Why Does 'AGI Godfather' Ben Goertzel Believe the Future of AI Relies on Blockchain?

Ben Goertzel, known as the "AGI Godfather," argues that the future of Artificial General Intelligence (AGI) must be built on blockchain to prevent its control by a few corporations or venture capital firms. He believes the core AGI code should be free and open-source, but that this alone is insufficient without a decentralized infrastructure to run it affordably. His blockchain project, SingularityNET, and the broader Artificial Superintelligence Alliance aim to create a user-owned, decentralized network for hosting and deploying AGI, contrasting with the closed models of companies like OpenAI and Anthropic. Goertzel criticizes the shift of other labs from open to closed development. He argues that while a closed path is simpler, an open, decentralized model—akin to Linux and the internet—is both possible and ultimately better for humanity. He envisions an "Agent economy" where individuals orchestrate teams of AI agents to perform tasks, including transactions, on an open network rather than corporate clouds. While his current model relies on cryptocurrency, plans include offering paid AI services to businesses with the decentralized blockchain as the backend. Goertzel predicts human-level AGI could arrive by 2029 and warns that a gap in understanding and access to AGI could drastically worsen inequality. The first test of his decentralized approach will be the upcoming release of the Agent Omega Claw.

Foresight News7 хв тому

Why Does 'AGI Godfather' Ben Goertzel Believe the Future of AI Relies on Blockchain?

Foresight News7 хв тому

A Company Once on the Brink of Bankruptcy Just Surpassed Bitcoin in Market Cap

On June 22nd, driven by rising stock prices, SK Hynix’s market capitalization reached $1.35 trillion, surpassing Bitcoin's total market cap of approximately $1.29 trillion. This temporarily made it South Korea's highest-valued company. The core driver of this surge is HBM (High Bandwidth Memory), for which SK Hynix is the primary supplier to NVIDIA, holding over 60% market share. AI's demand for high memory bandwidth has translated into immense profitability, with SK Hynix reporting a 72% operating profit margin in Q1. The company's success follows a 13-year bet on HBM technology, beginning in 2009. It nearly failed after the 2001 dot-com bubble, was acquired by SK Group in 2012, and was subsequently recapitalized to continue its long-term HBM development. The article contrasts this with the Crypto AI narrative. Capital currently favors AI infrastructure players like SK Hynix due to "real orders, physical barriers, and quantifiable profit margins." In comparison, Crypto AI projects, promising decentralized compute and data markets, remain largely conceptual with limited tangible progress. Examples include Bittensor, whose core mechanisms are still under development, and Bitcoin miners transitioning to AI, who face significant funding gaps and execution challenges. The piece cites analysis suggesting the AI sector has absorbed nearly all new market liquidity since 2022, leaving little for crypto. It concludes that the current AI infrastructure红利 is captured by entities with proven technical barriers and supply capabilities, while crypto networks still need to define their concrete role in the value chain.

链捕手47 хв тому

A Company Once on the Brink of Bankruptcy Just Surpassed Bitcoin in Market Cap

链捕手47 хв тому

Bittensor Moves Towards Ultimate Decentralization: The Critical 18 Months for the TAO Ecosystem is Here?

Bittensor, a decentralized AI protocol, is accelerating its transition to full decentralization over the next 18 months, as outlined in a recent post by co-founder Const. The project currently operates in a "semi-decentralized" state: ownership and network participation are open and permissionless, with TAO distribution based on competitive contribution. However, protocol upgrades and governance have remained under core team control to enable rapid iteration in the fast-evolving AI sector. This strategic shift comes as the ecosystem matures, boasting 128 subnets and a large community. Const argues that continued centralization now poses risks, including single points of failure and regulatory scrutiny. The upcoming decentralization roadmap includes optimizing validator competition, opening liquidity pools, introducing governance rights for Alpha holders, and refining economic models. The move could fundamentally reshape TAO's value proposition, adding governance premiums to its existing valuation based on AI narrative and scarcity. It also signals a potential maturation of the AI crypto sector, where competition may shift from hype to sustainable protocol design and real economic activity. Bittensor positions itself not just as another AI token, but as foundational infrastructure aiming to decentralize intelligence production—analogous to Bitcoin's role in decentralizing money—with the goal of creating a resilient "Millennium Intelligence Federation."

marsbit1 год тому

Bittensor Moves Towards Ultimate Decentralization: The Critical 18 Months for the TAO Ecosystem is Here?

marsbit1 год тому

Japan's AI Dark Horse Emerges: How a 7B Small Model Challenges Fable and Mythos?

In June 2026, Sakana AI's new model Fugu caused a stir in the AI community. Its Fugu Ultra variant achieved scores of 73.7 on SWE-Bench Pro and 82.1 on TerminalBench 2.1, surpassing GPT-5.5 and Claude Opus 4.8, and was claimed to be comparable to export-restricted models like Fable 5 and Mythos Preview. Remarkably, the core of this high-performance system is not a massive model, but a small 7B-parameter RL Conductor model. Fugu operates as a multi-agent orchestrator: the 7B model acts as a "foreman," dynamically analyzing user tasks and delegating subtasks to a pool of top-tier global models (e.g., GPT-5, Gemini 3.1 Pro). It then synthesizes and verifies their outputs. This architecture represents a paradigm shift from monolithic models to an expert-team approach. It enhances performance in complex, multi-step engineering tasks like code review and security testing by enabling cross-validation from specialized models, improving long-session stability and token efficiency. However, Fugu's strengths come with trade-offs: it faces inherent latency due to multiple API calls, relies heavily on underlying US model APIs (creating dependency risks), and its benchmark comparisons with Fable/Mythos are based on reported scores, not head-to-head testing. For Japan's AI ecosystem, which lacks the massive compute and data resources of the US or China, Fugu exemplifies an "asymmetric breakthrough" strategy. Instead of competing directly in parameter scale, it focuses on intelligent orchestration of existing global models, offering a degree of AI sovereignty and resilience. While a significant system-level innovation, its ultimate capability is still bounded by the underlying models it coordinates.

marsbit1 год тому

Japan's AI Dark Horse Emerges: How a 7B Small Model Challenges Fable and Mythos?

marsbit1 год тому

Торгівля

Спот
Ф'ючерси
活动图片