Global liquidity hits ATH at $130T – Is 2026 the payoff for risk assets?

ambcryptoОпубліковано о 2025-12-14Востаннє оновлено о 2025-12-14

Анотація

Global liquidity, as measured by the M2 money supply, has reached a new all-time high of nearly $130 trillion, creating a bullish macro backdrop for risk assets heading into 2026. This expansion is largely driven by China, which accounts for 37% of the total. Concurrently, major economies, including the U.S. with its Treasury measures, are synchronously easing funding conditions through rate cuts and liquidity injections. Despite these supportive tailwinds, risk assets like crypto have remained cautious, with the total market cap down 21% in Q4 2025. However, the rising global money supply may set the stage for a potential rebound in the coming months.

Heading into 2026, liquidity signals are starting to lean bullish.

Beyond the three consecutive rate cuts in the second half of the year that marked the start of the easing cycle, the broader liquidity backdrop continues to improve, putting a supportive tailwind behind risk assets.

From a macro perspective, when global liquidity metrics like Global M2 start trending higher, risk assets often follow as investors move further out on the risk curve. Notably, a similar pattern appears to be emerging now.

According to Alphactral data, Global M2 Supply has reached new all-time highs, now approaching $130 trillion.

At the same time, this expansion has been uneven across regions, with China emerging as the primary driver.

Data showed China accounting for roughly 37% of the total, with M2 standing at USD 47.7 trillion. However, several other economies are experiencing M2 contraction, including Japan, India, Argentina, Israel, and South Korea.

Against this setup, the U.S. government’s $40 billion Treasury plan doesn’t look like a one-off.

Instead, major economies appear to be competing on liquidity provision, setting the stage for risk assets heading into 2026.

Liquidity is building, but risk assets stay cautious

Across the globe, liquidity easing seems to be moving in sync.

In the U.S., the $40 billion Treasury plan is designed to inject cash into the banking system by issuing government debt. In turn, this move helps keep funding conditions smooth, indirectly providing a tailwind for risk assets.

Combined with Global M2 hitting ATH and the Fed easing through rate cuts and Treasury measures, the macro setup is clearly favoring risk assets. That said, how much upside we see will depend on investor appetite.

Notably, the macro tailwinds haven’t yet supported gains in this space.

Despite three rate cuts, the TOTAL crypto market cap is down 21% for the quarter, ending 2025 on a bearish note. As a result, risk assets remain well below late-Q3 peaks, keeping investors cautious heading into 2026.

Against this backdrop, the impact of liquidity growth on risk assets isn’t easy to predict. That said, with global money supply rising, it could set the stage for a rebound, making it a key metric to watch in the months ahead.


Final Thoughts

  • Global M2 hits a record, led by China, while major economies ease funding conditions through rate cuts and Treasury measures.
  • Despite easing, crypto is down 21% for Q4 2025, keeping investors cautious, but liquidity trends could set the stage for a rebound in 2026.

Трендові криптовалюти

Пов'язані матеріали

Gate Research Institute: The 'Wall Street-ization' Wave of Crypto Financial Products – Competition or Integration?

The article titled "Gate Research Institute: Are Crypto Financial Products Sparking a 'Wall Street' Wave—Competition or Convergence?" explores the evolving relationship between the crypto ecosystem and traditional finance (TradFi). The piece begins by reflecting on Bitcoin's original 2009 vision of decentralization, disintermediation, and moving away from banks. It then contrasts this with the 2024 landscape, where key crypto assets like Bitcoin are increasingly held through Wall Street products like ETFs issued by giants like BlackRock. The article questions whether this signifies that TradFi is systematically taking over the rights to issue, price, custody, and distribute crypto financial assets. The core argument is that this is not a zero-sum takeover but rather a bidirectional convergence where each side addresses the other's weaknesses. Crypto offers 24/7 global markets, programmable settlement, and open access but lacks compliant channels, institutional-grade custody, deep fiat liquidity, and mainstream distribution. TradFi possesses these but is constrained by legacy systems, limited operating hours, and slow settlement. Two primary convergence paths are highlighted: * **Path A (CEX to TradFi):** Exemplified by Gate, which has progressed from offering tokenized stocks and CFDs to providing direct, real stock trading (US, Hong Kong, South Korea) within its platform, using USDT. * **Path B (TradFi to Crypto):** Exemplified by Robinhood, which has integrated crypto trading, acquired exchanges like Bitstamp, and is moving traditional assets like stocks onto the blockchain via tokenization and its own Layer 2. Both paths are ultimately competing to become the next-generation, unified financial account—a "super account" where users can seamlessly trade cryptocurrencies, stocks, ETFs, RWA (Real World Assets), and tokenized treasury products in one interface. The growth of RWA and tokenized treasuries (e.g., BlackRock's BUIDL) is presented as the asset-layer fusion, providing stable, yield-bearing assets on-chain and acting as a bridge between the two worlds. In conclusion, the "Wall Street-ization" of crypto is framed as a mutual transformation. Decentralized ideals persist in the protocol layer, while at the application layer, a more efficient, global, and accessible unified capital market is emerging from this convergence. The future competition lies not between crypto exchanges and stockbrokers, but between platforms vying to offer the most comprehensive asset coverage, liquidity, and user experience within a single account.

marsbit5 хв тому

Gate Research Institute: The 'Wall Street-ization' Wave of Crypto Financial Products – Competition or Integration?

marsbit5 хв тому

Claude's Major New Feature: Screen Recording + Voice, Distilling Your Skills into AI Tasks in One Click

Claude has introduced a major new feature called "Record a Skill," available for Pro, Max, and Team users. This function, found in the Claude desktop app's CoWork menu, allows users to create reusable AI skills simply by recording their screen and providing voice narration while performing a task. Claude then automatically analyzes the recording and generates a functional Skill. A hands-on test confirmed the feature works seamlessly. Users start recording via the Skills manager, perform their workflow while verbally explaining the steps and logic, and avoid including sensitive information. After recording, Claude processes the content and creates the Skill, which can be saved and later invoked with a slash command (/). This eliminates the need for manual adjustments or writing complex instruction files. The innovation goes beyond mere efficiency. Previously, creating a Skill required writing a detailed SKILL.md file in Markdown—a significant barrier for non-technical users. "Record a Skill" bypasses this by directly capturing both actions and the implicit reasoning shared in the narration. This lowers the barrier to knowledge transfer and automation, addressing a core challenge in corporate knowledge management: the difficulty of getting experts to write and maintain documentation. However, the feature also highlights a shift in the nature of work. A case study from March 2026 showed a freelancer whose five-year client relationship was effectively replaced by a hand-coded Claude Skill automating their content workflow. With the even lower barrier of screen recording, the ability to distill personal expertise into automatable skills accelerates this trend. The "moat" for work is moving from simply knowing how to do a task to mastering tasks that are difficult or impossible to automate.

marsbit9 хв тому

Claude's Major New Feature: Screen Recording + Voice, Distilling Your Skills into AI Tasks in One Click

marsbit9 хв тому

Feeding AI "Noise" Can Also Boost Scores, This Work Enables Positive Transfer with Noise

Feeding "Noise" to AI Can Improve Performance: A Method Enables Positive Transfer from Noise This work, Semi-Supervised Noise Adaptation (SSNA), introduces a Noise Adaptation Framework (NAF) that challenges traditional transfer learning. Instead of requiring a labeled source domain of real data (e.g., images, text), NAF uses randomly generated Gaussian noise as the source. For a target task with C classes, it constructs C noise clusters by sampling from Gaussian distributions. Although this synthetic noise contains no semantic meaning, NAF trains it to form a discriminative class structure in a shared representation space—clustering same-class noise and separating different classes. The key is aligning this learned structure from the noise domain to the real, sparsely labeled target domain. A small number of target labels are still essential to establish the correspondence between noise clusters and actual classes. The training objective combines: 1) supervised loss on the few labeled target samples, 2) classification loss for the noise to build its structure, and 3) a distribution alignment loss (using Negative Domain Similarity) to minimize the gap between the noise and target domains in the shared space. Experiments show significant gains in few-label settings. With just 4 labels per class, NAF with a ResNet-18 backbone improves accuracy over a standard supervised baseline (ERM) by +12.35% on CIFAR-10, +7.61% on CIFAR-100, +4.38% on DTD-47, and +2.74% on Caltech-101. It also benefits fine-grained datasets and scales to ImageNet-1K (with 100 labels/class) and text classification (AG News). NAF can be integrated into existing semi-supervised methods like FixMatch for further gains. Ablation studies confirm the transferred benefit comes from the discriminative structure of the noise, not randomness itself. Collapsing all noise into a single point causes negative transfer, while increasing separation between noise cluster centers improves performance. The amount of noise per class is less critical once a basic structure forms. In conclusion, this work demonstrates that for positive transfer, the semantic content of source data may not be necessary. What can be effectively transferred is the *organizational structure* of categories within a representation space. This offers a promising alternative for scenarios where real source data is unavailable due to privacy, copyright, or procurement constraints.

marsbit11 хв тому

Feeding AI "Noise" Can Also Boost Scores, This Work Enables Positive Transfer with Noise

marsbit11 хв тому

Торгівля

Спот

Популярні статті

Як купити T

Ласкаво просимо до HTX.com! Ми зробили покупку Threshold Network Token (T) простою та зручною. Дотримуйтесь нашої покрокової інструкції, щоб розпочати свою криптовалютну подорож.Крок 1: Створіть обліковий запис на HTXВикористовуйте свою електронну пошту або номер телефону, щоб зареєструвати обліковий запис на HTX безплатно. Пройдіть безпроблемну реєстрацію й отримайте доступ до всіх функцій.ЗареєструватисьКрок 2: Перейдіть до розділу Купити крипту і виберіть спосіб оплатиКредитна/дебетова картка: використовуйте вашу картку Visa або Mastercard, щоб миттєво купити Threshold Network Token (T).Баланс: використовуйте кошти з балансу вашого рахунку HTX для безперешкодної торгівлі.Треті особи: ми додали популярні способи оплати, такі як Google Pay та Apple Pay, щоб підвищити зручність.P2P: Торгуйте безпосередньо з іншими користувачами на HTX.Позабіржова торгівля (OTC): ми пропонуємо індивідуальні послуги та конкурентні обмінні курси для трейдерів.Крок 3: Зберігайте свої Threshold Network Token (T)Після придбання Threshold Network Token (T) збережіть його у своєму обліковому записі на HTX. Крім того, ви можете відправити його в інше місце за допомогою блокчейн-переказу або використовувати його для торгівлі іншими криптовалютами.Крок 4: Торгівля Threshold Network Token (T)Легко торгуйте Threshold Network Token (T) на спотовому ринку HTX. Просто увійдіть до свого облікового запису, виберіть торгову пару, укладайте угоди та спостерігайте за ними в режимі реального часу. Ми пропонуємо зручний досвід як для початківців, так і для досвідчених трейдерів.

486 переглядів усьогоОпубліковано 2024.12.10Оновлено 2026.06.02

Як купити T

Обговорення

Ласкаво просимо до спільноти HTX. Тут ви можете бути в курсі останніх подій розвитку платформи та отримати доступ до професійної ринкової інформації. Нижче представлені думки користувачів щодо ціни T (T).

活动图片