Research Perspective: The Bull Market Persists, The Agent Wave Has Arrived

marsbitPublicado em 2026-02-03Última atualização em 2026-02-03

Resumo

The market experienced significant volatility, with a historical $2.5 billion liquidation event causing BTC to briefly drop below $75K. However, this is viewed not as the end of the bull market but as a structural adjustment driven by institutional deleveraging and macro risk-off sentiment. Key factors include macro events like potential U.S. government shutdowns and geopolitical developments, but the deeper driver is AGI (Artificial General Intelligence), which is expected to boost AI-related stocks and influence risk assets. Technologically, the launch of ERC-8004 and protocols like x402 enable trustless AI agent operations on-chain, with ecosystems like Base chain’s Claw-themed memes and projects such as Moltbook signaling the practical arrival of AI agent applications. The convergence between traditional tech (e.g., OpenAI, Anthropic) and crypto is accelerating, with agents enabling micro-trading, arbitrage, and social propagation at unprecedented speed. Despite recent sell-offs and exchange controversies (e.g., criticism targeting Binance), agent-related narratives and technologies are positioned to lead the next wave of market growth. The conclusion emphasizes long-term holding of technology-driven assets, identifying the agent trend as a major alpha opportunity.

Over the past week, the market experienced an extreme 'moment of terror': the total network liquidation volume surged to $2.5 billion on January 31st - February 1st, ranking as the 10th largest liquidation event in crypto history, with BTC briefly falling below the 75K mark, touching MicroStrategy's cost basis. Although the market was filled with 'zeroing out' and 'deep bear market' theories shouted by many bloggers and KOLs, from a macro analysis and technological evolution perspective, this is not the end of the bull market, but rather a deep structural adjustment triggered by the resonance of institutional deleveraging and macro risk-off sentiment.

First are the two core protagonists of this liquidation: one is the rumored 10.11 insider whale, allegedly the son of Trump, who was fully liquidated for over $700 million in a single trade on Hyperliquid, with cumulative losses exceeding $128 million since operations began in October 2025. The other is Yi Lihua's Trend Research, which high-profile leveraged built a position in ETH starting from 2700 and has been continuously selling over the past two days to supplement margin, admitting defeat and surrendering. With these two surrendering, the on-field leverage is pretty much cleaned up.

Macro-Level Driving Factors

On the macro level, the partial US government shutdown, Trump's negotiations with Iran, and Russia-Ukraine entering substantive ceasefire talks are all short-term disturbances. But the deeper driver is AGI (Artificial General Intelligence), which will pump the US stock AI sector again (NVIDIA, MSFT, GOOG, etc.). The precious metals sector serves two main purposes: hedging against the decline of the US dollar + hedging geopolitical risk. When these two risks are removed (Russia-Ukraine peace, temporary USD stabilization), gold and silver won't plummet sharply but will enter a stagnant state.

Of course, some views suggest that a certain major mysterious nation's massive purchases of gold are to back the internationalization of the RMB, and purchases of silver are a hard demand for high-tech (photovoltaics, electronics, AI chips). This logic is solid, but it doesn't change the震荡 (zhèndàng - oscillating/volatile) pattern of precious metals in the short term. The crypto market is strongly tied to US stocks. The narrative US stocks can borrow is AI, and this time AGI is particularly crucial. Otherwise, after Russia-Ukraine peace, much capital might withdraw from the US back to Europe, which is bearish for risk assets.

Technical Level, The Underlying Support and Application Landing of the Agent Wave

Then, on the technical level, the most underestimated event in the past two days is the official launch of ERC-8004. This is an Ethereum protocol specifically designed for 'trustless AI agents', providing three main modules: on-chain identity registration, reputation scoring, and a verification registry. Combined with the x402 payment protocol promoted by Coinbase, AI Agents can finally achieve 'trustless discovery, seamless payment, and autonomous collaboration'.

In the past two days, Moltbook (a social network for AI Agents derived from OpenClaw/Clawdbot) has been trending, with millions of Agents socializing, posting, and even creating 'religions' (Crustafarianism). Agent-themed memes like $CLAW, $MOLT, $CLAWNCH on the Base chain surged over 10x in the short term, then corrected, but trading volume and on-chain activity far exceeded traditional memes.

Unlike Shitcoins on BSC, this is not a one-wave炒作 (chǎozuò - hype/speculation), but a signal that the era of Agent applications has truly arrived. The new market cycle will be led by 'technology drive' rather than 'narrative drive'. The Claw concept sector on the Base chain is becoming a testing ground for Agent implementation: low fees, high throughput, native Agent toolchain, avoiding the hollowing-out trap of Solana memes. Emotional narratives still exist, but they lean towards real落地 (luòdì - landing/implementation).

Resonance Effect Between Traditional AI Circle and Crypto Circle

Simultaneously, resonance between the traditional AI circle (OpenAI, Anthropic, etc.) and the crypto circle is happening. The approach of AGI is smoothing out the gap that existed over the past two years between stagnant crypto technology and the traditional tech circle. The arrival of zero technical barriers means vertically integrated market function applications will be widely promoted. The past phenomenon of 'bad money driving out good money' in the crypto circle will change. Because Agent emotional reactions are faster than humans, spread wider, and execute more decisively. Even for memes, humans can't outrun Agent quantitative charges.

The era of micro-quant trading has truly arrived: Agents can monitor 24/7, perform micro-transactions, automatic arbitrage, and social propagation. x402 and ERC-8004 are no longer just narratives; they are entering the application era of a technological explosion. Projects like Virtuals Protocol and the Claw ecosystem on Base will be the first to benefit after this decline. The Claw concept sector belongs to an emerging track: they rise with incremental funds when the大盘 (dàpán - general market) rebounds; they反而 (fǎn'ér - instead) become a避险 (bìxiǎn - risk-off) narrative sector when the market falls. This is also why memes never die; narratives are always iterating.

On-Field Interlude: The Six Major Sects Siege the Bright Summit

Then, besides the great cleansing, the hottest gossip is undoubtedly the infighting among CEXs. After Cathie Wood (木头姐 Mùtou jiě) fired shots at Binance during a Fox Business live broadcast, directly pointing out that 10.111's culprit was Binance, it caused an uproar and骂声 (màshēng - cursing/swearing) in the overseas community. Subsequently, OKX founder Star Xu posted long threads, accusing Binance of using USDe's 12% high-yield marketing + zero risk control margin循环放大 (xúnhuàn fàngdà -循环循环 recycling amplification) leverage, which led to a chain liquidation 'more severe than FTX'. The public opinion suppressed by 10.11 erupted, followed by collective condemnation from the entire crypto circle. It was indeed a scene of the six major sects besieging the Bright Summit, quite a spectacle.

Referencing Lei Jun's (雷布斯 Léi bùsī) years of dominating through fever fans, hunger marketing,刷屏 (shuāpíng - screen flooding), and cost-performance narrative; once technological iteration arrived, the traffic红利 (hónglì - dividend) faded, all the suppressed technical doubts反弹 (fǎndàn - rebounded).

The crypto circle is the same. Those deeply bound with Agents will have the advantage of proximity when the technology narrative returns.

Final Thoughts

Regarding whether to buy the dip, my view is simple: if you didn't buy at 80k last time, you might slap your thigh seeing 98k, but feel庆幸 (qìngxìng - relieved/fortunate) seeing 75k; but as Livermore said, to know if you win or lose, you have to place a bet to find out.

Spot + long-term holding of technology narrative assets is the correct solution to穿越周期 (chuānyuè zhōuqī - traverse cycles).

This Agent wave is the most certain Alpha opportunity in the past five years.

Perguntas relacionadas

QWhat were the main reasons behind the recent market liquidation event mentioned in the article?

AThe liquidation was primarily caused by institutional deleveraging and macro risk-off sentiment, amplified by large-scale liquidations from specific entities like a rumored 'whale' and Yi Lihua's Trend Research.

QHow does the article link the AGI (Artificial General Intelligence) narrative to the financial markets?

AAGI is expected to boost the AI sector in U.S. stocks (e.g., NVIDIA, Microsoft, Google), driving market momentum and serving as a key narrative for risk assets, especially if traditional tech and crypto convergence accelerates.

QWhat technological developments support the rise of AI Agents in the crypto space according to the article?

AERC-8004, designed for trustless AI agents, and Coinbase's x402 payment protocol enable decentralized identity, reputation scoring, and seamless payments, facilitating autonomous AI agent collaboration and application.

QWhy does the article suggest that Agent-themed memes on Base chain are different from typical meme coins?

AUnlike short-lived hype-driven meme coins, Agent-themed projects on Base are backed by real technological infrastructure, low fees, high throughput, and native tooling, signaling actual utility and adoption rather than pure speculation.

QWhat is the article's final investment advice regarding the current market cycle?

AThe article recommends long-term holding of spot assets with strong technological narratives, particularly those aligned with the Agent ecosystem, as a strategy to navigate market cycles and capture alpha opportunities.

Leituras Relacionadas

To C, To B, and the Next Big Thing Called To A

After To C and To B, the Next Wave is To A: Serving AI Agents In a recent quarterly earnings call, Meituan's Wang Xing introduced a new concept: To A (To Agent), signifying that future business services will increasingly target AI Agents as primary clients, not just consumers or merchants. This shift implies that internet giants must now consider how to make their services more appealing for AI Agents to recommend, fundamentally altering traditional distribution logic. This "To A era" is prompting an unusual trend of alliances among major tech companies. Unlike previous competitive battles, firms like Meituan, Tencent, JD.com, Huawei, OPPO, and OpenAI are rapidly forming partnerships. The reason is strategic: as AI Agents become the primary user interface, handling tasks from a single command (e.g., "Book a Japanese restaurant for tomorrow"), the risk for platforms is being bypassed entirely. Companies are positioning themselves within this new value chain. Three primary strategies are emerging: 1. **Super-Entry Points + Service Providers:** Platforms like Tencent's Yuanbao, WeChat, and ChatGPT aim to be the first-stop Agent, integrating various services (food delivery, shopping, travel) from partners like Meituan and JD.com. 2. **Apps as Callable Services:** Companies like Meituan, JD.com, and Uber are ensuring their core services remain accessible and callable by external Agents, shifting from front-end apps to back-end capabilities. 3. **System-Level Agent Entry Points:** Smartphone makers (Huawei, Honor, OPPO) are leveraging their OS-level AI assistants to control the initial user command, redistributing it to relevant service apps. While alliances offer mutual benefit—entry points gain service capabilities, and service providers gain traffic—inherent conflicts of interest exist. A dominant Agent platform could eventually attempt to connect directly with suppliers (restaurants, hotels), bypassing current aggregators like Meituan or Ctrip. Other unresolved challenges include the potential for Agent recommendations to become a new form of paid ranking and unclear accountability for faulty recommendations. The current rush to form alliances is a defensive move by service providers to secure their position before the landscape solidifies. In this To A-driven restructuring, the greatest risk is not losing the race but failing to hear the starting gun.

marsbitHá 5m

To C, To B, and the Next Big Thing Called To A

marsbitHá 5m

The More Lifelike the Robot, the More Terrifying? Unveiling the 'Uncanny Valley Effect' in the Era of Humanoid Robots

As humanoid robots become increasingly lifelike, they confront a significant psychological barrier known as the "Uncanny Valley Effect," a concept proposed by Japanese roboticist Masahiro Mori in 1970. This phenomenon describes a dip in human comfort and acceptance when robots appear almost, but not perfectly, human. Minor imperfections in facial expressions, eye movements, or skin texture trigger a subconscious sense of unease, as the brain detects something trying, yet failing, to mimic a person. Examples range from the controversial human-like robot Sophia to animated characters in films like *The Polar Express*. The effect poses a key design challenge for robotics companies. Some, like Boston Dynamics, avoid it entirely by creating highly capable but visibly mechanical robots. Others, like Hanson Robotics, push for greater human likeness despite the risk. For consumer robots, especially in homes, most manufacturers opt for stylized or clearly mechanical designs to ensure broader acceptance. While the Uncanny Valley remains a powerful force, its impact may diminish over time through technological advancements that achieve near-perfect realism or through generational familiarity as people grow accustomed to interacting with humanoid machines. Ultimately, navigating this psychological frontier requires as much understanding of human perception as of robotics technology itself.

marsbitHá 6m

The More Lifelike the Robot, the More Terrifying? Unveiling the 'Uncanny Valley Effect' in the Era of Humanoid Robots

marsbitHá 6m

WeChat Agent Issues a 'Heroic Summons,' Half of the Internet Responds

WeChat AI Agent is on the horizon. The WeChat Open Platform has issued a guide for developers, offering them ways to integrate into the WeChat AI ecosystem. This will enable mini-programs to be discovered and invoked by the AI. Meituan has already announced its integration, allowing users to access services like food delivery through WeChat AI. Other platforms like Ctrip and Tongcheng have followed suit. Furthermore, WeChat is collaborating with major smartphone manufacturers to enable their native AI assistants to perform actions within WeChat, such as initiating calls or sending messages, through a controlled protocol called Agent-to-Agent (A2A). Reports indicate the WeChat AI Agent will be accessible by swiping right on the main interface. It aims to understand user intent within the rich context of chats, groups, and past interactions, then automatically call upon relevant mini-programs to complete tasks like ordering coffee or booking restaurants. This positions it as a potential "super app" with direct access to WeChat's vast ecosystem of services, social connections, and payment systems. Technically, this is a complex endeavor. It requires advanced natural language understanding, a "world model" to predict interactions within mini-programs (UI-Oceanus), multi-model orchestration for cost efficiency, and careful coordination with millions of third-party service providers. Tencent's development follows a "Co-Design" approach, where product teams and the Hunyuan model team collaborate closely, allowing capabilities honed in other AI products (like Yuanbao for chat, ima for search, WorkBuddy for office tasks) to be transferred to the WeChat Agent. Tencent is strategically opting for the A2A protocol over GUI-based automation (which it has blocked in the past), maintaining control over its ecosystem. To manage the immense scale and cost of serving 1.4 billion monthly active users, Tencent is deepening its ties with DeepSeek, known for its cost-effective training, to secure a low-cost inference backbone. The ultimate goal is to solve practical, everyday problems for users within the WeChat ecosystem, moving beyond technical benchmarks to deliver real utility, which Tencent sees as the key to winning in the long-term AI game.

marsbitHá 1h

WeChat Agent Issues a 'Heroic Summons,' Half of the Internet Responds

marsbitHá 1h

Trading

Spot
Futuros
活动图片