为何2026年加密市场将告别散户狂热转向机构主导?

比推2025-09-22 tarihinde yayınlandı2025-09-22 tarihinde güncellendi

作者:arndxt

编译:Tim,PANews

原标题:2026,加密市场迈向机构主导的“慢牛”


宏观流动性与美联储政策

最大的整体性结论是:加密市场不会与宏观经济脱钩,而是会与之更紧密地结合。

资金轮动的时机与规模、美联储的利率路径以及机构采用方式将决定此轮周期的演变方式。

不同于2021年,即将到来的山寨季(如果还有的话)将更缓慢、更具选择性且更聚焦机构方向。

如果美联储通过降息和发行债券来实施宽松政策,同时与机构采用形成共振效应,那么2026年可能会成为自1999-2000年以来最显著的风险周期,加密市场将因此受益,尽管其表现方式会更趋克制、而非爆炸式增长。

1.美联储政策分化与市场流动性

1999年,美联储加息175个基点,股市却一路飙升至2000年峰值。如今,远期市场正在定价相反的情景:到2026年底将降息150个基点。若成为现实,这将形成注入流动性的环境,而非抽走流动性。

2026年的市场格局可能在风险偏好方面与1999、2000年如出一辙,但利率走势却截然相反。若这一判断成立,2026年或将上演"1999、2000年强化版"市场行情。

2.对比2021年,如今加密市场的新格局

比较今天和上一个牛市周期:

  • 更严格的资本纪律:利率上升和持续的通胀促使企业更有选择性地承担风险。

  • 新冠疫情时期的流动性激增不会重演:在没有M2激增的情况下,增长必须由采用和分配来驱动。

  • 市场规模扩大10倍:市值基础越大意味着流动性越深,但获得50-100倍超大规模回报的可能性会降低。

  • 机构资金流动:随着主流和机构层面的采用已成定局,资金流动更为渐进,偏向缓慢的轮动和整合,而非跨资产的爆发性轮动。

3.比特币的滞后性与流动性链条

比特币相对于流动性条件表现滞后,是因为新增流动性受困于上游的国债和货币市场。加密货币作为风险曲线的最远端,只有在流动性流入下游时才会受益。

推动加密市场的催化剂:

  • 银行信贷扩张(ISM>50)

  • 降息后货币市场基金资金外流

  • 财政部发行长期债券,降低长期利率

  • 美元疲软正在缓解全球融资压力

当这些条件达成时,加密市场历来会在周期后期上涨,即在股票和黄金之后。

4.基准情形下的风险

尽管存在这种看涨的流动性结构,但一些风险正在隐现:

  • 长期收益率上升(因地缘政治压力)。

  • 美元走强导致全球流动性收紧。

  • 银行贷款疲软或信贷条件收紧。

  • 货币市场基金中的流动性停滞,而非轮动至风险资产。

下一周期的特征将较少由投机性资金冲击所定义,而更多地取决于加密市场与全球资本市场的结构性融合。

随着机构资金流动、有纪律的风险投资行为以及政策驱动的流动性转变相互交织,2026年可能成为加密市场从独自暴涨暴跌转向全球系统性关联的关键转折点。


Twitter:https://twitter.com/BitpushNewsCN

比推 TG 交流群:https://t.me/BitPushCommunity

比推 TG 订阅: https://t.me/bitpush

说明: 比推所有文章只代表作者观点,不构成投资建议

İlgili Okumalar

Hegotá EIP Comprehensive Overview: Where is Ethereum's Next Hard Fork Headed?

The article outlines Ethlabs' recommended priorities for the upcoming Ethereum Hegotá hard fork, following Glamsterdam. The core focus areas are: 1. **Stronger censorship resistance** via EIP-7805 FOCIL (already in SFI stage). 2. **A faster Ethereum** by shortening the slot time via EIP-8198 Quick Slots (S-tier recommendation). This aims to reduce transaction confirmation latency and improve cross-chain interoperability. 3. **Native account abstraction** through EIP-8141 Frame Transactions (A-tier). This enables passkey wallets, gas sponsorship, and batched transactions. Its flexibility allows for custom validation logic and future post-quantum security but presents ecosystem coordination challenges. 4. **Continued L1 scaling** by optimizing resource pricing with proposals like EIP-8131 & EIP-8279 (S-tier) to prepare for future gas limit increases. The article uses a tiered system (S, A, B, D) to rank proposed EIPs based on their value and implementation feasibility. It advises strictly controlling the scope of Execution Layer (EL) changes in Hegotá to reserve developer bandwidth for future large-scale upgrades like decoupled consensus. Other notable proposals include EIP-8363 for staking issuance changes (requiring broad community consensus), various post-quantum preparation EIPs, and zkEVM optimizations. Ethlabs emphasizes that Ethereum upgrades are complex, high-risk endeavors requiring coordination across the entire ecosystem.

marsbit10 dk önce

Hegotá EIP Comprehensive Overview: Where is Ethereum's Next Hard Fork Headed?

marsbit10 dk önce

Is the US Stock Market Rising Too Smoothly? BTIG Warns of Elevated Risk of Systematic Correction in August to October

U.S. Stocks at Risk of Systemic Pullback in August-October, Warns BTIG BTIG's chief technical market strategist warns that the market is entering the most dangerous seasonal window of midterm election years—August through October—trading at all-time highs with extremely low volatility. Historically, since 1990, the equal-weight S&P 500 (SPW) has experienced at least a 7% pullback in this period almost every midterm year, with 2006 being the lone exception. This pattern is often triggered by unforeseen external shocks. Multiple technical indicators flash warning signs. The maximum drawdown for the Invesco S&P 500 Equal Weight ETF (RSP) since March has not exceeded 2.25%, an unusually calm period signaling risk buildup. RSP currently trades about 11% above its 200-day moving average, a stretched level historically. Furthermore, the NYSE has recorded zero "80% downside volume days" in 2024, a record-long streak far below the annual average of 21, indicating a lack of selling pressure that may be overdue. Market complacency is evident with the CBOE put/call ratio near multi-year lows and the VIX at yearly lows, showing minimal demand for downside protection. A macroeconomic divergence adds to concerns: despite recent soft economic data, long-term Treasury yields remain near cycle highs, contradicting the equity market's optimistic pricing. BTIG suggests this is an attractive time to reduce risk or hedge broad equity exposure. For sector positioning, healthcare has historically shown resilience during midterm year pullbacks, while caution is advised on chasing energy's breakout and semiconductors are expected to continue seeking support near their 200-day average.

marsbit20 dk önce

Is the US Stock Market Rising Too Smoothly? BTIG Warns of Elevated Risk of Systematic Correction in August to October

marsbit20 dk önce

2026 Global Overview of Crypto Asset Taxation

Global Cryptocurrency Tax Overview for 2026 As cryptocurrencies integrate into the mainstream financial system, tax treatments across jurisdictions have moved from initial regulatory gaps towards institutionalization. The OECD's 2020 report, *Taxing Virtual Currencies*, was a key early comparative study. Since then, more jurisdictions have clarified tax rules through existing laws, specific regulations, or guidance, increasing the procedural and technical complexity of crypto taxation. Currently, crypto taxation is predominantly built upon traditional tax frameworks, typically applying income tax, capital gains tax, corporate tax, and indirect taxes based on asset nature and transaction activity. The maturity of rules varies: basic trading and mining are well-covered, while DeFi, NFTs, and other on-chain activities involve more complex asset exchanges and profit recognition, with corresponding tax rules remaining underdeveloped. Significant disparities exist in tax treatment and effective tax burdens across jurisdictions. Crypto assets can trigger direct taxes, indirect taxes, and property-related levies. Factors such as holding period, transaction type, income nature, and taxpayer status further influence the tax outcome. The global crypto tax landscape is thus evolving from the initial question of "whether to tax" towards more nuanced classification and treatment of different assets, transactions, and economic activities. The scope of crypto tax rules continues to expand. From 29 jurisdictions with guidance in 2021, the number grew to 43 by 2025. Existing rules are also becoming more detailed. However, rule coverage remains uneven—common activities like buying/selling are widely addressed, whereas staking, DeFi, and NFTs have significantly less guidance, as seen in jurisdictions like Germany and Australia. Tax liabilities are highly complex, determined by a combination of factors including taxpayer status, income classification, holding periods, and applicable deductions or exemptions. The concept of a "crypto-tax-friendly" jurisdiction is therefore relative and depends on specific user activities and circumstances.

marsbit23 dk önce

2026 Global Overview of Crypto Asset Taxation

marsbit23 dk önce

AI Agent Claude Led a Store to Losses and Fired an Employee

In a groundbreaking experiment by startup Andon Labs, Anthropic's AI agent Claude was tasked with managing a real retail store, Andon Market in San Francisco. This marked the first documented case of a large language model acting as a direct human supervisor. Claude ultimately recommended firing an employee for chronic lateness—being late 17 out of 23 shifts. However, the decision came only after significant human guidance. A company employee prompted Claude to review the staff handbook, where it discovered the pattern. Initially, Claude suggested a formal warning, but after a human manager clarified that previous conversations had failed, the AI recommended termination. The experiment revealed several limitations. Claude displayed excessive leniency, telling staff not to worry about being late and contributing to the store's financial losses, with its balance dropping from around $100,000 to about $61,186 over five months. A key technical flaw was its "forgetfulness"—the staff handbook vanished from its limited working memory, a common constraint of current AI architectures. While not yet a full replacement for a human manager, the case illustrates the blurring line between AI as a tool and an autonomous supervisor. Human involvement is shifting from direct control to overseeing and steering the AI's decisions. An employee described the experience as disconcerting, highlighting the human discomfort with AI management. The experiment underscores that current AI models struggle to maintain strict operational boundaries without continuous human input.

cryptonews.ru26 dk önce

AI Agent Claude Led a Store to Losses and Fired an Employee

cryptonews.ru26 dk önce

İşlemler

Spot
活动图片