Crypto Market Macro Report: US Government Shutdown Leads to Liquidity Contraction, Crypto Market Ushers in Structural Turnaround | Bee Network

Crypto Market Macro Report: US Government Shutdown Leads to Liquidity Contraction, Crypto Market Ushers in Structural Turnaround | Bee Network Login Berita Trending Meme Launchpad Agen AI DeSci Penjelajah Rantai Atas Untuk Newbee 100x Koin Permainan Lebah Situs Web Penting APLIKASI yang Harus Dimiliki Selebriti Kripto DePIN Pemula Penting Detektor Perangkap Alat Dasar Situs Web Tingkat Lanjut Pertukaran Alat NFT Hai, Keluar Alam Semesta Web3 permainan DApp Sarang lebah Platform Berkembang IKLAN Mencari Bahasa inggris Isi Ulang Koin Gabung Unduh Universitas Web3 permainan DApp Sarang lebah IKLAN rumah-Analisis-Teks utama Laporan Makro Pasar Kripto: Penutupan Pemerintah AS Menyebabkan Kontraksi Likuiditas, Pasar Kripto Mengalami Perubahan StrukturalAnalisis4 bulan yang lalu更新Wyatt 18,043 2 I. Overview of the Current Pasar Macroeconomic Background

According to the latest data, the current total market capitalization of the kripto market is approximately $3.37T, a decline from previous highs, indicating a phase of capital withdrawal and reduced risk appetite. Coupled with the fear index falling to 20 (fear), this suggests weak sentiment. Overall, the market remains in a mid-term correction within a long-term upward structure: the upward trend from 2023 to 2025 is still intact, but short-term uncertainties in macroeconomic expectations, profit-taking, and liquidity contraction have led the market into a consolidation and digestion phase. In general, the trend hasn’t broken down, but sentiment has cooled, placing it in a “fear correction zone,” more like a period of turnover and divergence within a bull market.

The current crypto market sentiment index (Fear & Greed Index) is 20, clearly in the fear zone, and has continued to weaken compared to last week and last month. As the chart shows, Bitcoin prices have experienced a pullback from their highs over the past few months, with market sentiment shifting sharply from “greed” to “fear,” accompanied by declining trading volume, indicating that funds are adopting a wait-and-see approach and risk appetite is decreasing. However, this area also coincides with historically significant mid-term bottoms or value entry points—the worse the sentiment, the more likely long-term funds are to accumulate. 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 its long-term anchor, the weakening marginal stickiness of core prices, supply-side recovery, and the decline in the inventory cycle have jointly driven a structural easing of inflation. Policy communication has gradually shifted from a strong signal of “higher and longer” to a path of “data-driven observation—micro-easing,” resulting in a downward shift in the interest rate expectation curve. At the same time, the US Treasury is making a “second correction” to address the aftereffects of the large deficit and short-duration debt issuance during the pandemic: stricter budget constraints, optimized maturity structure, and marginal reduction in interest subsidies and transfers mean that liquidity is flowing back from the public sector to the private sector, but not unconditionally. Instead, it is flowing into more efficient and growth-oriented asset classes through market-based credit and the redistribution of equity and bond risk premiums. On the other hand, the US government shutdown set a historical record. Due to the shutdown, the US Treasury’s general account (TGA) saw its balance balloon from approximately $800 billion to over $1 trillion, effectively withdrawing about $200 billion in liquidity from the market and exacerbating the tightness in the banking system. This explains why highly leveraged cyclical commodities in traditional markets are under pressure, while underlying technology, AI chains, and digital infrastructure are receiving higher valuation tolerance: the former relies on the tailwinds of low interest rates and high nominal demand, while the latter relies on improvements in the production function and leaps in total factor productivity, shifting the driving force from “price-driven” to “efficiency-driven.”

This macroeconomic shift manifests as structural differentiation in risk assets: on the one hand, the tail effects of high interest rates persist, credit spreads have not converged to extreme lows, and funds remain away from assets without profit support, with uncertain long-term cash flows, and high leverage on balance sheets; on the other hand, sectors with visible cash flows, high demand elasticity, and synchronized with the technology curve are attracting active allocation from funds. Mapped to crypto assets, this means a shift from the previous single-core logic of “Bitcoin’s one-sided, capital-driven rise” to a multi-core logic of “Bitcoin stability—capital flowing into lower-tier markets—accelerated narrative rotation.” With the combined effects of increased institutional holdings, improved spot ETF channels, and optimized on-chain derivatives structure, Bitcoin’s volatility has significantly converged, gradually assuming the function of a “risk-free collateral base”: not absolutely risk-free in the true sense, but rather, relative to the entire market, “the most liquid, most transparent, and most stable collateral across cycles.” Ethereum did not experience the same explosive growth as Bitcoin, but its systemic importance in the settlement layer and developer ecosystem has led it to primarily act as a “risk liquidity driver”—when market risk appetite recovers, funds no longer linger on large-cap stocks, but instead migrate through ETH and L2 to earlier, more resilient ecosystem assets. Therefore, the most prominent structural trend in November can be summarized by three sets of inequalities: rotation > herding and active participation > passive holding and hotspot capturing > waiting for large-cap stocks. The behavior of funds has shifted from “waiting passively” to “organized pursuit,” and the key trading capabilities have shifted from “value mining” to “narrative recognition + liquidity tracking + mechanism prediction.” Among all narratives, the tracks that can simultaneously satisfy “technology-driven and attention momentum” gain the most substantial new growth: Layer-2, due to its high density of new product launches per unit time, cost advantages, and incentive design, has become the most effective “innovation distribution channel”; AI/Robotics/DePIN, due to its connection with real-world production functions and its relationship with the closed loop of the machine economy (M2M), possesses higher “curve convexity” in its earlier stages; InfoFi, as an exploration of the financialization of knowledge and data value, conforms to the era’s law that “attention is a scarce factor”; Memecoin is the ultimate interpretation of “attention monetization,” carrying the 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 flow,” releasing new scenarios for collateralization, leasing, and revenue sharing through financial structured tools; and Presale, situated in the sweet spot of “low valuation – weak distribution – convex returns,” has become the most cost-effective high-volatility factor in risk budgeting. The common core that runs through these directions is the “four forces in one” of attention, developer contribution, incentive mechanism, and narrative consistency: attention provides visibility and leverage, developer contribution determines the sustainability of the supply curve, incentive mechanism solves the cold start in the early stage of expansion, and narrative consistency makes the expectation match the realization path, thereby reducing the discount rate.

From a broader perspective, the medium- to long-term return potential of traditional financial assets is limited in two dimensions: first, while government bond yields have peaked, they remain high, compressing the valuation elasticity of equity assets; second, global real growth momentum is weaker than in the previous cycle, and corporate profit expansion relies more on efficiency than price. In contrast, Crypto’s advantage lies in its “synchronization of technology cycles with financial innovation cycles”: on the one hand, the end-to-end improvement of on-chain infrastructure, from performance and costs to development tools, significantly reduces the marginal cost and trial-and-error radius of applications; on the other hand, tokenization mechanisms and incentive engineering provide a consensus coordinator for “capital-user-developers,” thereby finding a measurable, iterative, and distributable solution to the cold start problem of the internet era on-chain. In other words, the risk compensation of crypto assets is no longer solely driven by volatility and leverage, but depends more on “whether attention, data, and computing power can be transformed into realizable cash flow through mechanism design.” When this is combined with the structured release of macro liquidity, Crypto’s risk-adjusted return curve shows a relative advantage over traditional assets. In terms of the monetary environment, the market is undergoing a transition from “nominal easing expectations” to “real neutrality” and then to “structural and localized easing.” Policy interest rates are no longer unilaterally tightening; the supply structure of government bonds is becoming more refined; marginal improvements in credit conditions are driving down private financing costs; refinancing pressure on existing assets is easing; and the technology and innovation chain is becoming the primary beneficiary of capital inflows. This pace means that Crypto has entered the early to mid-stage of “risk appetite recovery”—unlike the rapid rallies of the past that relied solely on quantitative easing, this round is more like an endurance race driven by “technological progress + narrative evolution + mechanism optimization”: the rise is not a “single surge,” but rather “multi-core driven, segmented advancement.” Therefore, the most intuitive market manifestation is not “Bitcoin’s solitary surge,” but rather “BTC stabilizing its base, ETH maintaining its hub, and L2/AI/InfoFi/Memecoin rotating in groups.” In this landscape, the main theme is “early planning, phased realization, and rotation again.” The logic of sticking to one track until the end of time is becoming ineffective, and funds need the strategic ability to “fight for survival.”

In summary, the macroeconomic transmission chain in this phase can be described as follows: fiscal retreat and deficit management → liquidity returning to the private sector → declining interest rate expectations and credit condition repair → capital preference for “efficiency and curve convexity” → higher discount rate tolerance for technological narratives → crypto market shifting from single-core to multi-core → structural rotation becoming dominant. Looking at November, our assessment is that while the global macroeconomy has not fully transitioned to easing, structured incremental liquidity is being released. Coupled with the critical breakthrough of the technological cycle and the maturity of distribution mechanisms, crypto assets are moving from a “single-market driven” to a medium-term pattern of “coexistence of collective narratives,” characterized by a “local bull market and structural bull market”—its sustainability does not depend 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 fee curves verify demand, incentive budgets and governance improvements verify mechanisms, and cross-chain settlement and compliance channels verify the source of funds. Under these conditions of continuous positive feedback from these variables, the market is healthier, more diversified, and requires more professional and disciplined “active participation.” Therefore, the key to grasping this stage is not to guess “which coin will be the next breakout star,” but to establish an integrated framework encompassing “macroeconomics—narrative—mechanism—liquidity—distribution”: at the macro level, identify directional changes in interest rates and deficits; at the narrative level, determine whether the technology curve and demand are in sync; at the mechanism level, examine the sustainability of incentive designs; at the liquidity level, track the real migration of fees, market making, and social flows; and at the distribution level, evaluate the overall efficiency of pre-sales—airdrops—leaderboards—points—NFT-Fi—social media matrix. Only under the premise of a closed-loop framework can the three sets of inequalities—”rotation > herding, active > passive, hot topics > large market capitalization”—avoid becoming mere slogans and instead be transformed into executable, traceable, and reusable strategic methodologies.

II. Track Analysis and Macro Outlook

Entering the crypto market in 2025–2026, the most critical driving force has quietly undergone a structural shift. Interest rates and macroeconomic variables still constitute the underlying beta of the market, but the source of substantial excess returns has shifted from “macroeconomic sentiment → asset pricing” to a triple resonance of “narrative × technology × distribution mechanism.” The new cycle is characterized by accelerated evolution of the technological foundation, shortened narrative propagation links, and more decentralized fund distribution, thus bringing unprecedented price elasticity and the speed of style rotation. Against this backdrop, Presales, Memecoin, AI × Robotics × DePIN × x402, InfoFi, and DAT (digital asset treasury-type quasi-public companies) have become the most certain directional themes in the next 6–18 months.

Presales will be the clearest and most structurally profitable opportunity window in the coming year. Its advantage doesn’t stem from traditional “undervaluation,” but rather from its time and distribution structure. Because tokens have lower valuations in their early stages, market information is relatively opaque, and entry barriers are high, resulting in significant information and execution gaps. Many people know about a project but can’t get an allocation; even if they do, they don’t know how to distribute or reinvest after TGE; they know how to exit but can’t find a new entry point in the next round. True alpha lies not in “knowing,” but in the complete chain of “knowing → getting → exiting → returning.” Whether it’s L2 new asset issuance, AI-native projects, InfoFi builders, or Meme primitive experiments, their early stages will release 20x to 50x potential returns during the presale phase. The key to presales isn’t “hitting the jackpot,” but deeply embedding information, funding, and distribution networks to transform information advantages into an executable profit cycle. This means that in the new cycle, excellent participants are not only researchers but also executors. Accompanying the pre-sale is Memecoin’s enduring narrative. Memes are never value investments, but rather a manifestation of the attention economy and narrative arbitrage, the most agile alpha carrier in the crypto space. In the past two rounds, we’ve clearly seen a shift in the main battleground: 2021 in BSC, 2023–2024 in Solana, and 2025 will see a bipolar era of Solana and Base. The logic is extremely simple: the faster, cheaper, and more community-mobilized the chain, the more suitable it is for Meme execution. The core of Memes isn’t “what it is,” but “who is talking, who is pushing, and who is distributing,” forming a high-speed cycle of “narrative → attention → liquidity → drawdown → reconstruction.” Once a narrative breaks through the circle, assets can achieve huge gains within weeks and quickly complete distribution. Its essence is the market reaching consensus on a certain symbol in a short period and completing the on-chain speculative behavior. Although extremely risky, its high agility, high iteration, and high explosiveness make it an undeniable mode of expression in each cycle.

Compared to the aforementioned more tactical tracks, AI×Robotics×DePIN×x402 represents the most certain technological theme of the new cycle, which will give rise to a long-term trend similar to Bitcoin’s in its early days. The value of AI has never been limited to cognition itself, but lies in its entry into the production system as an economic agent. When AI models evolve into autonomous agents capable of performing tasks, signing transactions, settling accounts, and maintaining themselves on the blockchain, machines will become economic units, forming a “machine → machine (M2M)” economic structure. Blockchain provides machines with identity, settlement, and incentive systems, granting them the right to participate in the economic cycle. The importance of x402 lies in creating an internet-native automated payment and settlement infrastructure, enabling value exchange between AIs, thereby giving rise to new asset forms such as machine wallets, on-chain leasing markets, robot asset rights, and automatic income. Currently, it is still in its very early stages, and business models are not yet finalized, but precisely because of this, the expectation gap is huge, making it the most promising intersection of “technology × finance” in the coming years. Key assets such as CODEC, ROBOT, DPTX, BOT, EDGE, and PRXS are all being developed around machine identity, computing power incentives, and AI agent economies. AI×Crypto is essentially unaffected by regulatory cycles because it is driven by technological expansion, not policy will. This means it will become a structural trend similar to the “birth of the internet” or the “widespread adoption of smartphones.” Meanwhile, InfoFi (knowledge finance) has become the most creative narrative of this new cycle. It’s not simply about “selling information,” but rather transforming knowledge contribution, verification, and distribution into measurable and incentivized economic activities. In the traditional internet, the economic returns of information are largely captured by platforms, while in InfoFi, contributors, validators, and distributors all receive benefits, forming a “win-win-win” structure. Its core mechanism is: Contribution (Create) → Verification (Validate) → Ranking (Rank) → Incentive (Reward). Once value is expressed on the blockchain, it transforms into a tradable and composable asset form, leading to a new market structure: a Crypto version of TikTok (traffic) × Bloomberg (analysis) × DeFi (incentives). This solves the problems of high information noise and distorted incentives inherent in Web2, and opens up the possibility for analysts, judges, and organizers to profit. Typical platforms include Wallchain, Xeetdotai, Kaito, and Cookie3, transforming information from “private intellectual assets” into “public digital rights,” making it a narrative intersection worthy of close attention.

It’s worth emphasizing the DAT (Digital Asset Treasury) sector, also known as the “Crypto-equity” track, which will become one of the structural investment themes in the next 6-18 months. The core logic of DAT doesn’t rely on business operations, but rather on using a listed company shell combined with cryptocurrency holdings to import the valuation of on-chain assets into the traditional capital market. The principle is that the company allocates its cash assets to mainstream crypto assets such as BTC, ETH, SOL, and SUI, managing these assets through methods such as holding market value, staking rewards, and derivative strategies, and reflecting this market value in the company’s stock price, thus forming a cross-market price transmission from “on-chain assets to the 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 tokens with a market value of approximately $300-400 million. Through a combination of a “listed company + treasury strategy” and an ecosystem narrative, it provides investors with a new asset allocation method. DAT’s advantages lie in two aspects: firstly, it can provide a compliant bridge for traditional funds to enter the crypto market; secondly, it can map Crypto Narratives to the TradeFi pricing system, thereby forming a new two-way capital cycle of “Web3 assets → Nasdaq consensus.” Over the next 6–18 months, DAT will focus on “SUI, SOL, and AI Narratives,” with potential directions including treasury structure optimization, staking yield growth, asset diversification (BTC, ETH), and synergy with L1/L2 strategies. This type of asset possesses a composite attribute of “going long on the ecosystem + going long on the token + going long on the risk premium,” making it a highly penetrating new capital tool.

In summary, the main theme of the future crypto market is “narrative rotation × distribution efficiency × execution capability.” Presales and memes provide high-frequency alpha, AI × Crypto provides long-term beta plus structural alpha, InfoFi reconstructs the value capture mechanism, and DAT builds 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 “complete the cycle from cognition → participation → distribution → reinvestment.” Information is not an asset; execution and circulation are. The true growth model is to achieve compound interest in capital within the narrative cycle through continuous early participation and binding to the distribution system. In the next 6–18 months, the crypto market will shift from “macro-driven” to “technology and narrative-driven.” This is not a cycle that only requires patience, but a cycle that requires action. Narrative × Technology × Distribution will shape the next generation of winners, and the acceleration structure has already begun.

III. Risks and Challenges

Looking ahead to the next year, while structural opportunities in the crypto market are clear, the macroeconomic environment still presents unavoidable external risks and systemic challenges. These variables will not only determine the pace of liquidity release but will also profoundly impact narrative strength, asset valuations, and the boundaries of industry expansion. The greatest uncertainties stem from regulation, on-chain operational complexity, multi-chain fragmentation, user cognitive costs, narrative pace, and information asymmetry, which implicitly contain a cyclical mismatch between institutional and retail investors, constituting an inherent barrier to strategic competition. In the context of a long-term structural bull market, these risks will not necessarily halt the trend but will determine the steepness of the yield curve and the radius of fluctuation.

Regulation remains a key variable affecting the long-term resilience of crypto assets. While the easing of policies in the US, exemplified by spot ETFs, has released some positive signals, the regulatory framework remains fragmented, multi-centric, and lagging, with legislative efforts struggling to keep pace with asset growth. For institutions, regulatory clarity determines allocation limits; for retail investors, regulatory direction influences confidence and risk appetite. Friction persists in Europe and the US regarding exchange regulation, anti-money laundering, custody standards, and the determination of compliance responsibilities in DeFi, making a unified stance unlikely in the short term and potentially triggering localized policy headwinds or disruptions. On the other hand, the Asian market is relatively proactive in advancing licensing and regulatory sandbox systems, but structurally it is also in a cycle of “increased openness – regulatory testing – institutional caution – application exploration.” It is foreseeable that regulatory uncertainty will continue to influence cross-border capital flows, maintaining market stratification between “compliant assets” and “gray assets.” This means that while a systemic regulatory shock is unlikely in the coming year, the gradual nature of regulation will exert downward pressure on valuations, particularly posing risks to highly volatile, untraceable assets with no clear structured returns.

The complexity of on-chain operations also hinders large-scale adoption. Despite significant improvements in development tools and user experience over the past two years, on-chain interactions still involve multiple stages and hurdles: signing, authorization, cross-chain operations, gas management, and risk assessment still require active user understanding; while wallet logic has improved, it still hasn’t achieved the implicit workflow experience of Web2. For on-chain applications to reach “internet-scale” adoption, they need to be seamlessly integrated by the vast majority of users, rather than relying on a highly knowledgeable group. Currently, wallet-protocol interactions still lean towards engineering language, requiring navigating multiple steps: “wallet—signing—gas—risk—execution.” Errors at any stage can lead to losses, and existing protection systems are insufficient to fully mitigate these risks. In other words, operational complexity leads to an underestimation of the true scale of market participants; this means that, driven by narratives, real funds cannot be quickly converted into active users, creating a bottleneck in the “traffic-value” conversion. For project teams, this limits growth and distribution capabilities; for investors, it delays narrative fulfillment; and for institutions, it increases the difficulty of compliant operations and user protection. The parallel development of multiple chains accelerates competition and fragmentation. The surge in L2 blockchains has brought about ecosystem prosperity, but it has also led to the dispersion of funds and users across multiple execution environments. Inconsistent standards across ecosystems, incomplete data interoperability, and bridging risks in cross-chain asset transfers ultimately increase systemic uncertainty. Due to the fragmented nature of liquidity, single-chain ecosystems struggle to achieve an accelerated cycle of “scale-depth-innovation,” while cross-chain bridges create security gaps in the market. Many large-scale hacking incidents in recent years have been related to cross-chain components, making it difficult for institutions to use cross-chain assets and discouraging retail investors from taking on the risks of cross-chain liquidity migration, resulting in structural inefficiency. Simultaneously, the multi-chain nature of blockchains leads to narrative overload, making it difficult for users to quickly determine the true connections between “ecosystem, assets, and mechanisms,” resulting in scattered attention, high research costs, and further exacerbating information asymmetry.

User understanding costs remain an inherent obstacle to the industry’s development. From payment logic, asset management, risk models, and incentive design to narrative judgment, encryption not only requires users to possess financial literacy but also to understand cryptography, game theory, economic mechanisms, and many other elements. The industry still lacks mature financial education and transparent mechanisms, leading most participants to enter with a “speculative mentality,” making it difficult to form a stable participation structure. In the context of rapid narrative iteration, user education can lag behind, making those with high awareness the beneficiaries, while those with low awareness are more likely to become liquidity gravediggers. The heavier the cognitive burden, the greater the risk of centralization. Uneven distribution of funds creates a barbell structure: one end is elite executors, and the other end is blindly participating without knowledge, resulting in a severe imbalance in profit distribution.

The short narrative cycle and intense emotional involution have led to a “short-term” market trend. In an environment of rapid information transmission, the main narrative updates significantly faster than the actual development pace of projects, causing a disconnect between project value and price. Narrative peaks prematurely exhaust expectations, making it difficult to translate into long-term results. Projects are forced to chase narratives to attract attention, even using high incentives and subsidies to gain short-term activity, rather than building structural value. Emotional involution causes user behavior to degenerate from “research-judgment-action” to “following the trend-speculation-escape,” resulting in a pulse-like market rotation. While this may generate excess returns in the short term, it damages the developer ecosystem and capital accumulation in the long run, thus affecting the industry’s fundamentals. Uneven distribution of Alpha information is one of the industry’s core structural challenges. On-chain data is transparent, but the information structure is highly hierarchical. High-level players possess complex information, including fund flows, incentive structures, distribution paths, development progress, and social expectations, while ordinary participants can only make judgments based on secondary dissemination and social media noise. With the rise of pre-sales, points, airdrops, and leaderboard competition mechanisms, information asymmetry has not only failed to diminish but has deepened: on-chain fund flows are accelerating, and the pace of deployment is becoming increasingly earlier, with the “research-participation-realization” chain moving forward continuously. Those who understand the mechanisms, master distribution strategies, and have insight into capital structures are more likely to enter projects when they are still in their infancy; while ordinary users often only become aware of the projects during the amplified narrative phase, resulting in structural inferiority. It is clear that information asymmetry is not a technical problem but a game theory problem, and it will continue to expand in the future. A deeper challenge stems from the “cycle mismatch” between institutional and retail investors. Institutional funds prefer stable, safe, and sustainable cash flow; retail investors prefer volatility, narratives, and rapid realization. Due to their different behavioral models, the market volatility structure exhibits a “long-short split”: institutions allocate to collateralized assets such as Bitcoin over the medium to long term, while retail investors chase L2, AI, memecoins, and emerging applications in the short to medium term. They are not pursuing the same set of assets, the same mechanisms, or the same timeline. When macro liquidity fluctuates, institutions steadily buy while retail investors frequently exit amidst volatility, creating unequal returns. When sentiment is high, institutions often don’t participate, causing the market to eventually cool down. This structure puts retail investors at a disadvantage if they lack strategic capabilities.

Returning to the market itself, Bitcoin’s role is shifting from a “speculative asset” to a “stable collateral layer.” This isn’t a negative signal of slowing growth, but rather a sign of maturation: converging volatility, increased liquidity, and higher institutional participation bring BTC closer to its positioning as a “risk-free on-chain collateral,” with its long-term goal of becoming a cross-ecosystem value anchor. While ETH plays a core settlement layer role in structural growth, it struggles to outperform high-momentum narratives; true excess returns come from earlier-stage, lighter-structured, and faster-distribution sectors, including L2 ecosystems, AI machine economy, pre-sales, short-cycle Memecoins, InfoFi, and NFT-Fi. The market is entering a structural bull market, not a broad-based one, with liquidity being released in a targeted manner, no longer universally inflating all assets; this means that in the coming year, competition will shift from “holding positions” to “sector selection + rotational execution.” Future funds will favor mechanism design, liquidity distribution, attention structures, and real adoption, rather than simply products, white papers, or imagination. Narrative creates liquidity, liquidity brings opportunity, and opportunity can then be transformed into Alpha. In other words, narrative is not the goal; it’s the channel through which liquidity enters the mechanism. What truly generates sustainable returns is the synergy between structural design, ecosystem building, and user adoption. Therefore, risk and opportunity always coexist. Macroeconomic uncertainty will continue to test the inherent resilience of the crypto industry. Those who truly understand the structure, control liquidity, and possess the execution capabilities will have an advantage in future cycles.

IV. Kesimpulan

In November 2025, the crypto market will be at a structural turning point. The US government shutdown will lead to a liquidity contraction, withdrawing approximately $200 billion from the market and exacerbating the tight funding situation in the risk capital market, creating a less than optimistic macroeconomic environment. On the other hand, the crypto market has shifted from a “single-core driven” model to a “multi-pronged approach,” with structural rotation replacing widespread frenzy. Narrative, mechanisms, and distribution capabilities will become the dominant forces. While BTC remains the underlying reserve, it no longer exclusively reaps the growth benefits; new growth drivers such as AI, L2, InfoFi, machine economy, and Memecoin will provide the main elasticity, and the market focus will shift from the assets themselves to the ecosystem, scenarios, and distribution systems. Presale, AI, InfoFi, and Memecoin 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 in this round will not be those with the earliest information or the largest capital, but those who can achieve the most effective distribution within the correct narrative. The market has shifted from “holding” to “executing,” and from “emotional speculation” to “structural delivery.” With the end of the US government shutdown and the restoration of macro liquidity, a structural bull market may be about to begin, and it will continue to accelerate with the synergy of innovation and capital.

Artikel ini bersumber dari internet: Crypto Market Macro Report: US Government Shutdown Leads to Liquidity Contraction, Crypto Market Ushers in Structural TurnaroundRecommended Articles

Related: Vitalik’s full speech at the summit: Ethereum’s new progress and future applications The following is the full text of the speech: Hello everyone, welcome to this blockchain event. In the past 10 years, the blockchain and cryptography industries have developed a lot. Blockchain technology was very early in its development, and its value proposition is much greater now than it was 10 years ago. The topic of my speech today is to think about blockchain and cryptography. If blockchain and ZK, FHE, and all these other technologies are scalable, developer-friendly, and inexpensive, and if these technologies don’t have many shortcomings, what can we do with them? (Katon) Cryptography actually has many parts. The two on the left are already established in the world: signatures and encryption. Encryption is the difference between APGB and ACBS. You should remember that 20 years ago, there…

Analisis #Tetesan Udara ## bitcoin# kriptoDefinisi ## ethereumPertukaran #Pasar ## Sandbox# TandaAlat ## web3© 版权声明Array 上一篇 Analisis mendalam mengenai kebenaran di balik de-pegging xUSD: Krisis domino yang dipicu oleh kejatuhan 11 Oktober. 下一篇 With the League of Legends S15 finals approaching, which team are players betting on in the prediction market? 相关文章 Ketika Binance secara intensif meluncurkan kontrak koin lama, bagaimana pengguna biasa dapat memperoleh manfaat paling banyak? 6086cf14eb90bc67ca4fc62b 39,313 1 More than just interest rate cuts? Former New York Fed expert: Powell may announce a $45 billion bond-buying program. 6086cf14eb90bc67ca4fc62b 15,660 2 24-Hour Hot Cryptocurrencies and News | Trump May Appoint New Fed Chair in First Week of January; Fed Governor Milan: Necessity for 50 Basis Point Rate Cut Has Diminished (December 23) 6086cf14eb90bc67ca4fc62b 18,316 South Korean investors flock to crypto-to-equity, with BitMine becoming a new favorite.Recommended Articles 6086cf14eb90bc67ca4fc62b 42,290 4 The token plummeted 91% in 3 hours. How did Hailey Welch go from Meme Queen to Meme Coin Victim? 6086cf14eb90bc67ca4fc62b 36,873 3 Airdrop Weekly Report | Monad plans to hold TGE on November 24; Ethena opens applications for Q4 airdrops (November 3-9) 6086cf14eb90bc67ca4fc62b 16,279 Tidak ada komentar Anda harus login untuk meninggalkan komentar! Segera masuk Tidak ada komentar... Bee.com Portal Web3 terbesar di dunia Mitra KoinCarp binance KoinMarketCap KoinGecko hidup koin Armor Unduh Aplikasi Bee Network dan mulai perjalanan web3 Kertas putih Peran Pertanyaan Umum © 2021-2026. Semua Hak Cipta Dilindungi Undang-Undang. Kebijakan pribadi | Ketentuan Layanan Unduh Aplikasi Jaringan Lebah dan memulai perjalanan web3 Portal Web3 terbesar di dunia Mitra CoinCarp Binance CoinMarketCap CoinGecko Coinlive Armors Kertas putih Peran Pertanyaan Umum © 2021-2026. Semua Hak Cipta Dilindungi Undang-Undang. Kebijakan pribadi | Ketentuan Layanan Mencari MencariDi dalam SitusDi RantaiSosialBerita 热门推荐： Pemburu Airdrop Analisis data Selebriti Kripto Detektor Perangkap Bahasa Indonesia English 繁體中文 简体中文 日本語 Tiếng Việt العربية 한국어 हिन्दी اردو Русский Bahasa Indonesia