[dragon and tiger list] the risk of BTC's high leverage ratio falling sharply increased

Huobi ResearchОпубликовано 2022-04-18Обновлено 2022-04-19

Введение

With the BTC price moving downward, the possibility of further falling below the support line in the near future is very high.

1. Market trend: the leverage ratio of BTC increases, and the risk of price decline increases

With the BTC price moving downward, the possibility of further falling below the support line in the near future is very high. Judging only from the trading volume and price performance, BTC does not support a new round of rebound. Compared with the trading volume in June 2021, the current weekly trading volume of BTC is sluggish, which may be the reason why it is difficult for BTC to rebound in the short term after breaking the position. At the beginning of July 2021, the weekly trading volume of BTC was relatively mild, especially more than twice the trading volume of BTC at the same point. Of course, not only the trading volume is shrinking, but also the number of active addresses on the BTC chain is running at a low level. Therefore, we can pay more attention to the long-term low absorption opportunities after withdrawal rather than short-term profit opportunities.

Among the important data changes of estimated leverage ratio, it can be seen that the index has reached the position of 0.254 on April 17, the highest value in two years. If BTC bulls fail to raise the price in the near future, under the premise of such a high leverage ratio, the downward movement of the price is bound to fall below the contract cost price of more investors and expand the scale of position explosion. Accordingly, the increase in the scale of position explosion will also quickly push the price down.

2. Interpretation of panic index:

The recent performance of the panic index is weak. It has been lower than 50 since April 5, which indicates that investors' trading enthusiasm is not high. Compared with the performance of the panic index in the second half of 2021, the current panic index is more panic, so it can not be radical in the trading direction.

In the calculation of the panic index, the trading volume, volatility and bitcoin market value have 25%, 25% and 10% weights respectively. The current trading volume maintains a long-term contraction trend, limiting the rebound of the panic index. And the short-term BTC decline continues to expand, and the volatility is not high. In the position where the panic index is lower than 30, any change in price is worth the vigilance of bulls.

3. Dragon and tiger list:

BTC led the continuation of the correction trend of mainstream currencies, and most sectors showed downward performance. In the increase list, the top currencies are STX, xcn and FXS. Among the falling rankings, waves, fil and ZIL have a large 24-hour decline of more than 10%.

Considering the continuation of the adjustment trend of mainstream currencies such as BTC and eth, the overall market is still dominated by callback. Most of the top gainers are the concept of stable currency. It is difficult to rebound in the near future. Pay more attention to the confirmation of the bottom, and then the low suction market.

STX

Stacks is a new Internet with decentralized applications, equipped with a complete set of open source development tools to build and guide the decentralized application and protocol ecosystem. Users have their own data, and the browser is everything they need to start. Stacks is the "Google" of the blockchain, in which the architecture is divided into three layers: the bottom layer of the blockchain - peer-to-peer network - data layer. The business model of stacks is very clear. Its goal is to become a blockchain browser. On this browser, users can create basic todo applications and build single page JavaScript applications.

In terms of price, STX rebounded during the period of high-volume short-term pulse, with a short-term 24-hour increase of 7.4%, and the trading volume increased by more than 7 times. While the short-term main force pulls the market, there is great uncertainty in the price performance. To catch up, you can choose to trade at a low suction point.

XCN

Chain is a cloud blockchain infrastructure that enables organizations to build better financial services from scratch. Chain launched chain core, a licensed and open source blockchain and sequence, whose ledger is a service product.

As a new currency listed on the fire currency exchange, xcn's short-term performance is still strong, and the price fluctuation intensity within the day has reached 4%. Xcn trading volume will remain relatively stable due to the shock.

FXS

FraX aims to become "the world's first decentralized stable coin, with some of its supply tokens supported by collateral and some stabilized by algorithms."

FraX protocol implements a dual token system: stable token FraX and protocol governance token FXS.

In the fourth quarter of 2021, with the release of FraX V2, FraX was adopted on a large scale and linked with the whole defi system. As of January 25, the FraX project fund pool earned an average of $500000 per day (annualized about $180 million) through the amo (algorithmic market making program) launched by the team in the early fourth quarter of 2021. During the same period, the supply of FraX climbed from less than $500 million to a staggering $2.6 billion.

In terms of price, FXS retreated after the platform token Luna, which followed Terra algorithm to stabilize the currency, rebounded in the early stage, and the price is in the adjustment stage recently. Despite the 24-hour rise of 1.9%, FXS has not effectively left the adjustment area. In terms of lock up, FXS locked up $2.3 billion, with little change. Next, we can focus on the supporting effect of BTC stabilization on FXS. FXS is expected to have a strong price again after the overall market stabilizes.

Decline list

Among the decline list, waves and ZIL led the decline, with a 24-hour decline of 10.8% and 10.5%.

Wave has a large decline and expanded the decline space under the condition of large volume, indicating that the main force has typical shipping signs.

After ZIL released meta universe platform Metapolis, the price continued to rise strongly. It is reported that on April 2, ZIL will hold an event in Miami for the purpose of the Metapolis platform. Perhaps, the development of ZIL market is related to the good expectations of investors for its participation in metauniverse.

In terms of price performance, ZIL also rose and fell, but the decline in volume is more typical. In other words, ZIL may usher in a technical rebound after adjustment and expansion. Especially with the positive blessing, ZIL's massive rise since March 26 can not be ignored. This was the strongest bull rally ever.

Похожее

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbit5 мин. назад

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbit5 мин. назад

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbit9 мин. назад

Token Inefficient, Economy Tokenless

marsbit9 мин. назад

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

In 2026, a historic shift occurred in AI as major cloud providers' inference spending surpassed training spending for the first time, signaling a move from "building large models" to "using large models." This shifts the core challenge from computing power to the "memory wall"—the bottleneck of data movement (model weights, activations, KV Cache) between external DRAM and processors, where energy and latency from data transfer far exceed computation itself. Companies like Nvidia face GPU idle time due to bandwidth limits. In contrast, Cerebras Systems adopts a radical "wafer-scale" approach with its Wafer-Scale Engine (WSE). Instead of cutting a silicon wafer into many chips, Cerebras uses almost the entire wafer as one massive chip (WSE-3). This design provides 44GB of on-chip SRAM, delivering memory bandwidth thousands of times higher than traditional HBM (e.g., 21 PB/s vs. Nvidia B200). For LLM inference, weights are streamed layer-by-layer from external MemoryX storage to the chip, avoiding HBM bottlenecks. This results in token generation speeds 1.5–5 times faster than Nvidia's B200 in some models and significant advantages in first-token latency and long-context tasks. Additionally, Cerebras's architecture offers much lower interconnect power consumption (0.15 pJ/bit vs. GPU's ~10 pJ/bit). However, Cerebras faces challenges: SRAM scaling has slowed with advanced nodes, limiting future capacity gains; the chip requires specialized liquid cooling and custom software stacks; and its external I/O bandwidth (150 GB/s) is low compared to NVLink, hindering multi-system scaling for very large models. Competition is intensifying. Major players are pursuing three paths: 1) Developing proprietary inference ASICs (e.g., Google TPU, Microsoft Maia), 2) Leveraging advanced packaging (e.g., TSMC's SoW) to democratize wafer-scale-like integration, potentially eroding Cerebras's process advantage within a few years, and 3) Exploring optical interconnects for ultimate bandwidth. Commercially, Cerebras is transitioning from a hardware vendor to a service provider, facing the immense challenge of building high-power, specialized data centers to meet large contracts (e.g., 250MW/year from 2026–2028). In conclusion, the AI inference era presents a fundamental architectural trade-off. Cerebras opts for extreme physical optimization for low-latency, single-task performance, while Nvidia prioritizes versatility and massive cluster throughput. The path forward remains uncertain, with technology and business models still evolving in the race toward advanced AI.

marsbit15 мин. назад

Crossing the 'Memory Wall': The Wafer-Level Revolution and Computing Power Routes in the AI Inference Era

marsbit15 мин. назад

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

**Title: Has Bitcoin's Rebound Ended, Entering the Late Bear Market Phase?** **Summary:** Bitcoin's price has declined by 13% this week, signaling a potential return to late-stage bear market conditions. The price fell to around $67k, positioned between the Realized Price and Realized Cap Weighted Average. For the first time since early 2022, the Short-Term Holder cost basis has dropped below this key average, confirming a hallmark of late-cycle bear markets. Profitability metrics have collapsed sharply. The 7-day average of the Realized Profit/Loss ratio plummeted from a local high of 3.16 to 0.29, mirroring the February panic sell-off. Critically, the 90-day average never breached the threshold of 2, indicating the recent rally to $82k was a bear market bounce, not a structural shift. Realized losses surged to $1.35 billion daily, with $770 million coming from Long-Term Holders selling at a loss. This accelerating redistribution of supply from weak to strong hands is a necessary but ongoing process for a market bottom. The rally stalled almost precisely at the aggregate cost basis (~$83k) of US spot Bitcoin ETF investors, turning that level into strong resistance and leaving the average ETF holder underwater again. Spot market flows have turned decisively negative, showing sellers are dominating order books despite the price drop. While a significant futures long liquidation event cleared over $400 million in leverage, providing a potential reset, sustained spot demand is yet to materialize. Options markets continue to price in higher future volatility (Implied Volatility) than recent price action (Realized Volatility) has shown, with a persistent skew towards put options, indicating ongoing demand for downside protection. In conclusion, multiple metrics point to a fragile market structure. Resistance at the ETF cost basis, accelerating realized losses, dominant spot selling, and cautious options pricing all suggest the bear market trend persists. A sustainable recovery likely requires a resurgence of spot demand, ETF holders returning to profit, and a clear reduction in selling pressure.

marsbit15 мин. назад

Has Bitcoin's 'Rebound Ended', Officially Entering the Late Bear Market Phase?

marsbit15 мин. назад

TechFlow Intelligence Agency: Anthropic Calls for Global Pause in AI Development While Preparing for Trillion-Dollar IPO; SpaceX IPO Roadshow Heats Up, But S&P 500 Rejects Fast-Track Inclusion

In today's TechFlow Intelligence Briefing, several major tech stories highlight a growing theme of trust and credibility gaps across AI, crypto, and finance. AI company Anthropic has publicly called for a global pause in AI development, citing risks from Claude's "recursive self-improvement." Ironically, this coincides with reports the company is preparing for a massive IPO targeting a near $1 trillion valuation. This perceived hypocrisy, coupled with widespread user complaints about Claude's declining performance, is sparking debate over whether the safety warning is genuine or a competitive tactic. Meanwhile, in a substantive security move, Anthropic open-sourced a framework for AI-powered vulnerability discovery. In the crypto market, Bitcoin's price drop below $61,000 triggered over $1.16 billion in liquidations, flipping the market into a state where more BTC is held at a loss than at a profit, a historical bearish signal. On the corporate front, SpaceX's highly anticipated IPO is generating immense Wall Street excitement, with Goldman Sachs projecting 100x revenue growth by 2030. However, the S&P 500 has refused to fast-track the company's inclusion post-IPO, potentially limiting immediate institutional demand. Separately, ByteDance's AI app Doubao lost over 6 million monthly active users after introducing a subscription model, highlighting the challenges of AI monetization. Other notable developments include Nvidia certifying HBM4 memory from Samsung, SK Hynix, and Micron; Cloudflare's acquisition of front-end tooling company VoidZero; and its CEO warning that bot traffic now exceeds human traffic online. The underlying narrative connects these events: a trust crisis. From AI firms' contradictory actions and crypto volatility to the clash between SpaceX's hyped narrative and institutional rules, a pattern is emerging where stated intentions and actual practices are increasingly misaligned.

marsbit31 мин. назад

TechFlow Intelligence Agency: Anthropic Calls for Global Pause in AI Development While Preparing for Trillion-Dollar IPO; SpaceX IPO Roadshow Heats Up, But S&P 500 Rejects Fast-Track Inclusion

marsbit31 мин. назад

Торговля

Спот
Фьючерсы
活动图片