Huobi Growth Academy | Macro Research Report on the Crypto Market: U.S. Government Shutdown Leads to Liquidity Contraction, Crypto Market Faces Structural Turning Point

1. Current Market Macro Background Overview

In November 2025, the global cryptocurrency market is at a structural turning point: it is neither a full-blown new bull market nor a passive defense against a downward abyss, but rather a critical window of "moving from virtual to real, returning from narrative to technology, and shifting from pure speculation to structural participation." The root cause driving this turning point lies not in a single price or policy, but in an overall shift in the macro paradigm. Over the past two years, the post-pandemic era, dominated by fiscal spending and balance sheet expansion, has gradually receded. The neutral-to-tight monetary policy cycle has significantly peaked, the government's direct traction on liquidity has weakened, and the private sector has regained the dominant power of capital allocation. The reassessment of new technology narratives and production functions has begun to influence the underlying logic of asset pricing. The focus of policy has shifted from "subsidies and transfer payments driving nominal demand" to "efficiency and technological progress driving potential growth." In this transition, the market is willing to pay a premium for assets with "verifiable cash flows and technological expansion curves," while being more cautious towards targets characterized by "high leverage, strong pro-cyclical behavior, and reliance solely on valuation expansion."

According to the latest data, the current total market capitalization of the cryptocurrency market is approximately $3.37 trillion, showing a pullback from previous highs, indicating that funds are temporarily withdrawing and risk appetite is decreasing; coupled with the fear index landing at 20 (fear), it shows that sentiment is weak. Overall, the market is still in a mid-term correction within a long-term upward structure: the upward trend from 2023 to 2025 remains intact, but in the short term, due to macroeconomic uncertainty, profit-taking, and liquidity contraction, the market has entered a phase of consolidation and digestion. In general, the trend is not broken, sentiment has turned cold, and it is in a "fear correction zone," resembling a turnover and divergence period within a bull market.

The current cryptocurrency market sentiment index (Fear & Greed Index) is 20, clearly in the fear zone, continuing to weaken compared to last week and last month. As seen in the chart: Bitcoin's price has experienced a high-level pullback over the past few months, with market sentiment shifting from "greed" to "fear," accompanied by a decline in trading volume, indicating that funds are on the sidelines and risk appetite is decreasing. However, this area has also returned to historically corresponding mid-term bottoms or value layout zones— the worse the sentiment, the more likely long-term funds are to begin accumulating. In other words: short-term pessimism and increased volatility; in the medium to long term, for contrarian funds, the fear zone often breeds opportunities.

From a macroeconomic perspective, taking the United States as an example, after the Federal Reserve's aggressive interest rate hikes from 2023 to 2025, although inflation has not fully returned to long-term anchors, the marginal stickiness of core prices has weakened, and the combined effects of supply-side recovery and inventory cycle decline have driven structural easing of inflation. Policy communication has gradually shifted from strong signals of "higher for longer" to a path of "data-dependent observation—slight easing," with the interest rate expectation curve loosening downward. Meanwhile, the U.S. Treasury is making a "second correction" on the legacy of large-scale deficits and short-duration bond issuance during the pandemic: budget constraints are tightening, the term structure is being optimized, and the marginal reduction of interest subsidies and transfers means that liquidity is flowing back from the public sector to the private sector, but not in an unconditional flood; rather, it is entering more efficient and growth-oriented asset classes through the redistribution of market-based credit and risk premiums in stocks and bonds. On the other hand, the U.S. government shutdown has created a historical record, with the Treasury General Account (TGA) only seeing inflows due to the shutdown issue, swelling from about $800 billion to over $1 trillion, equivalent to withdrawing about $200 billion in liquidity from the market, exacerbating the funding tension in the banking system. This explains why high-leverage cyclical traditional market assets are under pressure, while underlying technology, AI chains, and digital infrastructure receive higher "valuation tolerance": the former relies on low interest rates and high nominal demand, while the latter depends on improvements in production functions and leaps in total factor productivity, shifting the benefits from "price-driven" to "efficiency-driven."

This macro switch manifests as structural differentiation in risk assets: on one hand, the tail effects of high interest rates are still present, credit spreads have not converged to extreme lows, and funds maintain distance from targets with no profit support, uncertain future cash flows, and high leverage on balance sheets; on the other hand, sectors with visible cash flows, high demand elasticity, and synchronous technological curves receive proactive allocation of funds. In terms of cryptocurrency assets, this means shifting from the previous "Bitcoin's unilateral blood-sucking rise" single-core logic to a "Bitcoin stabilization—funds sinking—narrative rotation accelerating" multi-core logic. With the increase in institutional holdings, the improvement of spot ETF channels, and the optimization of on-chain derivatives structure, Bitcoin's volatility has significantly converged, gradually assuming the role of "risk-free collateral base": not in the sense of absolute risk-free, but relatively speaking, it is the "most liquid, most transparent, and most stable collateral across cycles." Ethereum has not experienced an explosion comparable to Bitcoin, but its systemic importance in the settlement layer and developer ecosystem allows it to take on more of the role of "risk liquidity conduit"—when market risk appetite rises, funds no longer stay in large-cap assets but flow through ETH and L2 to earlier, more elastic ecological assets. Thus, the most prominent structural trend in November can be summarized by three sets of inequalities: rotation > clustering, active participation > passive holding, hotspot capture > large-cap waiting. The behavior of funds has shifted from "waiting for opportunities" to "organized pursuit," with the key trading capabilities shifting from "value discovery" to "narrative identification + liquidity tracking + mechanism anticipation." Among all narratives, those that can simultaneously meet "technology-driven and attention momentum" will gain the most substantial new increments: Layer-2 has become the most effective "innovation distribution channel" due to its density of new launches, cost advantages, and incentive designs; AI/Robotics/DePIN has high "curve convexity" the earlier it is; InfoFi, as a financial exploration of knowledge and data value, aligns with the era's rule that "attention is a scarce resource"; Memecoin is the ultimate interpretation of "monetizing attention," carrying rapid monetization of emotions and social capital with extremely low friction costs; NFT-Fi has transformed from "avatar popularity" to a more practical paradigm of "on-chain rights and cash flows," releasing new collateral, leasing, and profit-sharing scenarios through financial structured tools; while Presale is in the "low valuation—weak distribution—convex returns" sweet spot, becoming the most cost-effective high-volatility factor in risk budgets. The common core running through these directions is the "four forces unification" of attention, developer contribution, incentive mechanisms, and narrative consistency: attention provides visibility and chip relay, developer contribution determines the sustainability of the supply curve, incentive mechanisms solve the cold start in the early stages of expansion, and narrative consistency aligns expectations with realization paths, thereby reducing discount rates.

From a broader perspective, the medium to long-term return space of traditional financial assets is constrained in two dimensions: first, although government bond yields have peaked, they remain high, compressing the valuation elasticity of equity assets; second, global real growth momentum is weaker than in previous cycles, and corporate profit expansion relies more on efficiency than on price. In contrast, the advantage of crypto lies in the "synchronization of technology cycles and financial innovation cycles": on one hand, the full-chain improvement of on-chain infrastructure from performance, costs to development tools significantly reduces the marginal cost of applications and the radius of trial and error; on the other hand, tokenization mechanisms and incentive engineering provide a consensus coordinator for "capital—users—developers," thus addressing the cold start problem of the internet era with measurable, iterable, and distributable solutions on-chain. In other words, the risk compensation of crypto assets is no longer driven solely by volatility and leverage, but increasingly depends on "whether mechanisms can turn attention, data, and computing power into realizable cash flows." When this point overlaps with the structured release of macro liquidity, the risk-adjusted return curve of crypto shows a relative advantage over traditional assets. In terms of the monetary environment, the market is experiencing a transition from "nominal easing expectations" to "actual neutrality" and then to "structural localized easing." The direction of policy rates is no longer unilaterally tightening, the supply structure of government bonds is becoming more refined, and the marginal improvement of credit conditions is driving down private financing costs, alleviating refinancing pressures on existing assets, with technology and innovation chains becoming the primary beneficiaries of capital inflows. This rhythm indicates that crypto is entering the early to mid-stage of "risk appetite recovery"—unlike the previous rapid market driven solely by quantitative easing, this round resembles a marathon jointly propelled by "technological progress + narrative evolution + mechanism optimization": the upward trend is not "one spike through the clouds," but rather "multi-core driven, segmented advancement." Therefore, the most intuitive market manifestation is not "Bitcoin skyrocketing alone," but "BTC stabilizing the base, ETH maintaining the hub, and L2/AI/InfoFi/NFT-Fi/Memecoin rotating in clusters." In this pattern, "early layout—phased realization—rotation again" is the main theme, and the clustering logic of "holding one track until the end of time" is marginally ineffective; funds need the strategic capability of "fighting to sustain fighting."

In summary, the macro transmission chain at this stage can be expressed as: fiscal retreat and deficit management → liquidity returning to the private sector → downward interest rate expectations and credit condition recovery → fund preference for "efficiency and curve convexity" → technological narratives gaining higher discount rate tolerance → the cryptocurrency market transitioning from single-core to multi-core → structural rotation becoming dominant. Standing at the point of November, our judgment is: the global macro has not fully transitioned to easing, but structured incremental liquidity is being released. Coupled with critical breakthroughs in the technology cycle and the maturity of distribution mechanisms, cryptocurrency assets are moving from "single market-driven" to a "coexistence of collective narratives" mid-term pattern, characterized by "local bulls and structural bulls"—its sustainability does not rely on the weekly chart of a single asset, but on the mutual verification of multiple subsystems within the ecosystem: developer retention and toolchain improvement verify supply, user growth and cost curves verify demand, incentive budgets and governance improvements verify mechanisms, and cross-chain settlement and compliance channels verify funding sources. Under the condition of these variables continuously providing positive feedback, the market is healthier, more decentralized, and more in need of specialized and disciplined "active participation." Therefore, grasping the key of this stage is not about guessing "which coin will be the next hot spot," but about establishing an integrated framework of "macro—narrative—mechanism—liquidity—distribution": identifying directional changes in interest rates and deficits at the macro level, judging whether the technology curve and demand side are in sync at the narrative level, examining whether incentive designs are sustainable at the mechanism level, tracking the real migration of costs, market making, and social flow at the liquidity level, and assessing the comprehensive efficiency of presales—airdrops—rankings—points—NFT-Fi—social media matrices at the distribution level. Only under the premise of a closed-loop framework can the three sets of inequalities of "rotation > clustering, active > passive, hotspots > large caps" avoid becoming mere slogans and instead transform into executable, trackable, and reusable strategic methodologies.

2. Track Analysis and Macro Outlook

Entering the 2025-2026 cryptocurrency market, the most critical driving force has quietly undergone a structural transformation. Interest rates and macro variables still constitute the underlying beta of the market, but the true sources of substantial excess returns have shifted from "macro sentiment → asset pricing" to a triple resonance of "narrative × technology × distribution mechanisms." The characteristics of the new cycle are accelerated evolution of the technological base, shortened narrative dissemination links, and more decentralized capital distribution, thus bringing unprecedented price elasticity and speed of style rotation. Against this backdrop, Presales, Memecoins, AI × Robotics × DePIN × x402, InfoFi, and DAT (Digital Asset Treasury-type quasi-listed companies) have become the main lines with the most certain direction for the next 6 to 18 months.

Presales will be the clearest and most structurally rewarding opportunity window in the coming year. Its advantage does not stem from traditional notions of "undervaluation," but from time structure and distribution structure. Due to tokens having relatively low valuations in the early stages, market information is relatively opaque, and entry barriers are high, resulting in a huge information gap and execution gap. Many people know about a project but cannot get an allocation; they get an allocation but do not know how to complete distribution or reinvest after the TGE; they know how to exit but cannot find a new entry in the next round. The real alpha lies not in "knowing," but in the complete chain of "knowing → getting → exiting → flowing back." Whether it is L2 new asset issuance, AI native projects, InfoFi builders, or Meme original language experiments, their early stages will release a return potential of 20×~50× during the presale phase. The key to presales is not "hitting the mark," but deeply embedding into information networks, capital networks, and distribution networks, transforming information advantages into executable profit cycles. This means that in the new cycle, excellent participants are not just researchers but also executors. Accompanying presales is the eternal narrative of Memecoins. Memes have never been value investments but are the embodiment of attention economy and narrative arbitrage, the most agile alpha carriers in the crypto space. In the past two rounds, we have clearly seen the transition of the main battlefield: in 2021 it was on BSC, in 2023-2024 it was on Solana, and in 2025 it enters a bipolar era of Solana and Base. The logic is extremely simple: the faster, cheaper, and more community-mobilizing the chain, the more suitable it is for Meme execution. The core of Memes is not "what it is," but "who is speaking, who is pushing, who is distributing," forming a high-speed cycle of "narrative → attention → liquidity → pullback → reconstruction." Once a breakout narrative is formed, assets can achieve significant increases within weeks and quickly complete distribution. Its essence is the market reaching a consensus on a certain symbol in a short time and completing tangible speculative behavior on-chain. Although the risks are extremely high, high agility, high iteration, and high explosion make it an expression that cannot be ignored in each cycle.

In contrast to the above tactical tracks, AI × Robotics × DePIN × x402 represents the most certain technological mainline of the new cycle, which will give rise to a long-term trend similar to that of Bitcoin in its early years. The value of AI has never been limited to cognition itself, but lies in its entry as an economic entity into the production system. When AI models evolve into autonomous agents capable of executing tasks, signing transactions, settling, and self-maintaining on-chain, machines will become economic units, thus forming a "machine-to-machine (M2M)" economic structure. Blockchain provides machines with identity, settlement, and incentive systems, granting them the authority to participate in the economic cycle. The importance of x402 lies in creating an automation payment and settlement infrastructure aimed at internet-native applications, allowing value exchange between AIs, thus deriving new asset forms such as machine wallets, on-chain leasing markets, robot asset rights, and automatic yields. The current stage is still very early, and business models have yet to be defined, but precisely because of this, the expectation gap is enormous, making it the most promising "technology × finance" intersection in the coming years. Key assets such as CODEC, ROBOT, DPTX, BOT, EDGE, PRXS, etc., are all building around machine identity, computing power incentives, and AI agency economy. AI × Crypto is essentially unaffected by regulatory cycles because it is driven by technological expansion rather than policy will. This means it will become a structural trend on the level of "the birth of the internet" or "the popularization of smartphones." Meanwhile, InfoFi (knowledge finance) has become the most creative narrative of the new cycle. It is not simply "selling information," but transforming knowledge contribution, validation, and distribution into measurable and incentivized economic behavior. In the traditional internet, the economic returns of information are more captured by platforms, while in InfoFi, contributors, validators, and distributors can all gain rights, thus forming a "three-way win" structure. Its core mechanism is: Create → Validate → Rank → Reward. Once value is expressed on-chain, it becomes a tradable and combinable asset form, leading to a new market structure of Crypto version TikTok (traffic) × Bloomberg (analysis) × DeFi (incentives). It addresses the high noise and distorted incentives of Web2 information and opens up the possibility for analysts, judges, and organizers to profit. Typical platforms include wallchain, xeetdotai, Kaito, cookie3, etc., transforming information from "private intellectual assets" to "public digital rights," making it a narrative intersection worth paying attention to.

It is important to emphasize that the DAT (Digital Asset Treasury) direction, commonly referred to as "Crypto-equity," will become one of the structural investment themes in the next 6 to 18 months. The core logic of DAT does not rely on business operations but on introducing the valuation of on-chain assets into traditional capital markets through the shell of a listed company + crypto asset positions. Its principle is: companies allocate cash assets to mainstream cryptocurrencies such as BTC, ETH, SOL, SUI, and manage assets through market value, staking income, derivative strategies, etc., reflecting the market value in the company's stock price, thus forming a cross-market price transmission from "on-chain assets → secondary stock market." MSTR (MicroStrategy) is the earliest example, and starting in 2025, the SUI treasury company SUIG will become a new representative, holding over 100 million SUI, with a market value of about $300-400 million, providing investors with a new asset allocation method through the combination of "listed company + treasury strategy" and ecological narrative. The advantage of DAT lies in: on one hand, it can provide a compliant bridge for traditional funds to enter the crypto market; on the other hand, it can map the Crypto Narrative to the TradFi pricing system, thus forming a new type of two-way capital cycle from "Web3 assets → Nasdaq consensus." In the next 6 to 18 months, DAT will focus on "SUI, SOL, and AI Narrative," with potential directions including treasury structure optimization, staking income growth, asset diversification (BTC, ETH), and collaboration with L1/L2 strategies. Such assets possess the composite attributes of "longing for ecology + longing for tokens + longing for risk premiums," making them a powerful new capital tool.

In summary, the main theme of the future cryptocurrency market is "narrative rotation × distribution efficiency × execution capability." Presales and Memecoins provide high-frequency alpha, AI × Crypto provides long-term beta plus structural alpha, InfoFi reconstructs the value capture mechanism, while DAT establishes a capital bridge between Web3 and traditional finance. The winners of the new cycle will not be "those who know the most," but "those who can complete the most effective distribution within the correct narrative." Information is not an asset; execution and flow are the assets. The real growth model is to continuously participate in the early stages, binding the distribution system, and completing capital compounding within the narrative cycle. In the next 6 to 18 months, the cryptocurrency market will shift from "macro-driven" to "technology and narrative-driven." This is not a cycle that only requires patience, but one that requires action. Narrative × Technology × Distribution will shape the next generation of winners, and the acceleration of structure has already begun.

3. Risks and Challenges

Looking ahead to the next year, while the structural opportunities in the cryptocurrency market are clear, the macroeconomic environment still presents unavoidable external risks and systemic challenges; these variables not only determine the pace of liquidity release but will also profoundly affect narrative strength, asset valuation, and the boundaries of industry expansion. The greatest uncertainty comes from regulation, the complexity of on-chain operations, multi-chain fragmentation, user cognitive costs, the rhythm of narratives, and the asymmetry of information structures, which also imply a cyclical mismatch between institutions and retail investors, forming inherent barriers to strategic competition. Under the long-term structural bull context, these risks do not necessarily block the trend, but they will determine the steepness of the yield curve and the radius of volatility.

Regulation remains a key variable affecting the medium to long-term resilience of crypto assets. Although the trend of policy loosening represented by spot ETFs in the U.S. has released some positive signals, the regulatory framework still exhibits fragmentation, multi-centrality, and lagging characteristics, making it difficult for legislative efforts to keep pace with the growth of asset scales. For institutions, regulatory clarity determines the upper limit of allocation; for retail investors, the direction of regulation affects confidence and risk appetite. There are still frictions in Europe and the U.S. regarding exchange regulation, anti-money laundering, custody standards, and DeFi compliance responsibilities, making it difficult to form a unified stance in the short term, which may trigger local policy headwinds or breakpoints. On the other hand, the Asian market is relatively proactive in advancing licensing systems and regulatory sandbox systems, but structurally it is also in a cycle of "increasing openness—regulatory exploration—institutional caution—application exploration." It is foreseeable that regulatory uncertainty will continue to affect cross-border capital flows, maintaining the market's pricing stratification of "compliant assets—gray assets." This means that although there will not be a systemic regulatory shock in the coming year, the gradual constraints of regulation will become a force for valuation suppression, especially for high-volatility, untraceable, and structurally unclear return assets.

The complexity of on-chain operations also limits large-scale adoption. Despite significant improvements in development tools and user experience over the past two years, on-chain interactions still involve multiple steps and thresholds: signing, authorization, cross-chain, gas management, and risk assessment still require users to actively understand; although wallet logic has improved, it has not yet reached the implicit process experience of Web2. For on-chain applications to reach "internet-level scale," they need to allow the vast majority of users to access without feeling it, rather than relying on a highly knowledgeable group. Currently, the interaction between wallets and protocols still leans towards engineering language, needing to cross multiple steps of "wallet—signing—gas—risk—execution"; any error in one link can lead to losses, and the existing protection systems are still difficult to fully cover. In other words, operational complexity leads to an underestimation of the actual number of market participants; this means that under narrative-driven conditions, real funds cannot quickly convert into active users, forming a bottleneck in the transformation of "traffic—value." For project parties, this is a limitation on growth and distribution capabilities; for investors, it is a delaying factor for narrative realization; for institutions, it is a source of increased difficulty in compliance operations and user protection. Multi-chain parallelism accelerates competition but also accelerates fragmentation. The explosion of L2 has brought ecological prosperity, but at the same time, it has led to the dispersion of funds and users across multiple execution environments, with inconsistent standards between ecosystems, data that cannot be fully interoperable, and cross-chain assets facing bridge risks, ultimately increasing systemic uncertainty. Due to liquidity being in a fragmented state, single-chain ecosystems struggle to form an "acceleration cycle of scale—depth—innovation," while cross-chain bridges bring security gaps to the market. In recent years, many major hacking incidents have been related to cross-chain components, making it difficult for institutions to use cross-chain assets and retail investors reluctant to bear the risks of liquidity cross-chain migration, resulting in structural inefficiencies. Meanwhile, multi-chain brings narrative overload, making it difficult for users to quickly judge the real connections between "ecosystem—assets—mechanisms," leading to scattered attention and high research costs, further increasing the degree of information asymmetry.

User understanding costs remain an inherent barrier to industry development. From payment logic, asset management, risk models, incentive designs to narrative judgments, crypto not only requires users to have financial literacy but also to understand multiple elements such as cryptography, game theory, and economic mechanisms. The industry still lacks mature financial education and mechanism transparency, leading most participants to enter with a "speculative mindset," making it difficult to form a stable participation structure. In the context of rapid narrative iteration, user education often lags, causing high-cognition individuals to benefit while low-cognition individuals are more likely to become liquidity grave diggers. The heavier the cognitive burden, the greater the concentration risk. Funds cannot be evenly distributed, leading to a barbell structure: one end consists of elite executors, while the other end consists of blindly participating individuals lacking knowledge, resulting in a severe imbalance in return distribution.

The short narrative cycles and highly competitive emotions make the market exhibit a tendency towards "ultra-short-term trading." In an environment of rapid information transmission, the speed of main narrative updates significantly outpaces the actual development pace of projects, causing a disconnect between project value and price, with narrative peaks prematurely exhausting expectations, making it difficult to convert into long-term results. Projects are forced to chase narratives to attract attention, even exchanging high incentives for short-term activity rather than building structural value. Emotional competition causes user behavior to degrade from "research—judgment—action" to "following trends—speculation—escaping," resulting in a pulsing rotation in the market. Although excess returns can be generated in the short term, it can harm the developer ecosystem and capital accumulation in the long term, thus affecting the industry's fundamentals. Unequal distribution of alpha information is one of the industry's most core structural challenges. On-chain data is transparent, but the information structure is highly layered. High-level players possess complex information including capital flows, incentive structures, distribution paths, development progress, and social expectations, while ordinary participants can only rely on secondary dissemination and social media noise to make judgments. With the rise of presales, points, airdrops, and leaderboard competition mechanisms, information asymmetry has not only not narrowed but has deepened: on-chain capital flows are becoming faster, layout rhythms are increasingly advanced, and the chain of "research—participation—realization" is constantly being pulled forward. Those who can understand mechanisms, master distribution strategies, and insight into capital structures are more likely to enter while projects are still in their infancy; while ordinary users often only become aware during the narrative amplification phase, forming structural disadvantages. It is evident that information inequality is not a technical issue but a game theory issue, and it will continue to expand in the future. A deeper challenge arises from the "cyclical mismatch" between institutions and retail investors. Institutional funds prefer stable, safe, and sustainable cash flows; retail investors prefer volatility, narratives, and quick realizations. Due to the different behavioral models of the two, the market volatility structure presents a "long-short split": institutions steadily allocate to collateral layer assets like Bitcoin, while retail investors chase L2, AI, memecoins, and emerging applications in the medium to short term. The two are not pursuing the same set of assets, nor the same mechanisms, nor the same timelines. When macro liquidity fluctuates, institutions steadily buy while retail investors frequently exit, resulting in unequal returns; when narratives rise, institutions often do not participate, leading the market to ultimately return to calm. This structure causes retail investors, if lacking strategic capabilities, to often be at a disadvantage.

Returning to the market itself, Bitcoin's role is shifting from "speculative asset" to "stable collateral layer." This is not a negative signal of slowing growth but a sign of maturation: convergence of volatility, deepening liquidity, and increasing institutional proportions make BTC closer to the positioning of "risk-free on-chain collateral," with its long-term goal being to become a value anchor across ecosystems. ETH occupies a core settlement layer role in structural growth but struggles to outperform high-momentum narratives; true excess returns come from earlier, lighter structures, and faster distribution tracks, including L2 ecosystems, AI machine economy, presales, short-cycle Memecoins, InfoFi, and NFT-Fi. The market is entering a structural bull rather than a comprehensive bull, with liquidity showing directional release, no longer universally lifting all assets; this means that in the coming year, competition will shift from "holding positions" to "track selection + rotation execution." Future funds will favor mechanism design, liquidity distribution, attention structures, and real adoption rather than merely products, white papers, or imagination. Narrative creates liquidity, liquidity brings opportunity, and opportunity can be transformed into alpha. In other words, narrative is not the goal; narrative is the channel that guides liquidity into mechanisms; what truly generates sustained returns is the synergy of structural design, ecological accumulation, and user adoption. Therefore, risks and opportunities always coexist. The uncertainty of the macroeconomic environment will continue to test the endogenous resilience of the crypto industry. Those who truly understand structure, master liquidity, and possess execution capabilities will gain an advantage in the future rotation cycle.

4. Conclusion

In November 2025, the cryptocurrency market is at a structural turning point. The U.S. government shutdown has led to liquidity contraction, withdrawing about $200 billion from the market, exacerbating the funding tension in the venture capital market, and the macro environment is not optimistic. On the other hand, the cryptocurrency market has transitioned from "single-core driven" to "multi-line advancement," with structural rotation replacing comprehensive frenzy, and narrative, mechanism, and distribution capabilities becoming dominant forces. While BTC remains the underlying reserve, it no longer monopolizes growth dividends; new curves such as AI, L2, InfoFi, machine economy, and Memecoins bear the main elasticity, shifting the market focus from the assets themselves to ecosystems, scenarios, and distribution systems. Presales, AI, InfoFi, and Memecoins will become the four main engines of the future cycle. In the next three years, AI × Crypto, M2M machine economy, and knowledge finance will jointly constitute the underlying logic of a new round of long-term growth. The winners of this round will not be those with the most information or the largest funds, but those who can complete the most effective distribution within the correct narrative. The market has shifted from "holding" to "executing," from "emotional speculation" to "structural delivery." With the end of the U.S. government shutdown and the recovery of macro liquidity, a structural bull market may begin, and it will continue to accelerate with innovation and capital collaboration.