RWAs grow by 8% in 30 days – More than just a ‘safe’ bet?

ambcryptoОпубликовано 2026-03-19Обновлено 2026-03-19

Введение

Real World Assets (RWAs) have demonstrated significant growth, increasing by 8% in the past 30 days despite broader crypto market struggles. The total RWA market has surpassed $27 billion, with non-Treasury assets like commodities, credit, and tokenized stocks now accounting for $15.8 billion and becoming the primary growth driver. A key development is the shift toward fully on-chain issuance, settlement, and management of these assets, leading to better integration with the crypto ecosystem and improved functionality and liquidity. This growth, including a record $3 billion TVL on BNB Chain, indicates the sector is maturing beyond low-risk instruments into a diversified, multi-asset market focused on real yield and utility.

Real world assets (RWAs) are one of the most interesting parts of crypto right now. Even when the market feels shaky, this sector just keeps moving.

At its core, it’s the simple idea of bringing real-world value onto the blockchain. Lately, that idea’s been catching on!

RWAs weather the storm

While most other crypto sectors struggle to find their footing, the RWA sector has grown by roughly 8% over the past 30 days! This, on the back of the overall market performance struggling under pressure.

Source: X

Simply put, RWAs are traditional financial assets (like bonds, commodities, or credit) brought onto the blockchain. However, unlike earlier versions that merely “represented” these assets, newer RWAs are issued and managed directly on-chain.

Source: Artemis

The change is helping its performance. While a majority of sectors have been deep in the red YTD, RWAs have held up fairly decently.

What’s causing this growth?

These days, RWAs are increasingly being built directly on the blockchain. Rather than relying on off-chain systems, key processes like issuance, settlement, and even collateral management are happening on-chain!

As a consequence, there’s better integration with the crypto ecosystem. This has made RWAs more functional, liquid, and accessible.

Source: X

The numbers make that evident. The total RWA market has now crossed $27 billion, with non-Treasury assets accounting for $15.8 billion; overtaking U.S. Treasuries and emerging as the primary growth driver. This includes categories like commodities, asset-backed credit, and specialty finance, alongside tokenized stocks, which have now reached the $1 billion-mark.

Additionally, RWAs are surging on BNB Chain as well! Total value locked (TVL) there alone has climbed to an ATH of $3 billion.

The bottom line is that the sector is diversifying beyond low-risk instruments. It is now attracting attention as a fully formed, multi-asset market.


Final Summary

  • RWAs cross $27 billion as capital moves to real yield and utility-driven crypto sectors.
  • Non-Treasury RWAs at $15.8 billion prove that many are moving beyond “safe” assets, and deeper into on-chain markets.

Связанные с этим вопросы

QWhat is the growth rate of the RWA sector over the past 30 days, and how does it compare to the overall market?

AThe RWA sector has grown by roughly 8% over the past 30 days, while the overall crypto market has been struggling under pressure.

QWhat is the fundamental concept behind Real World Assets (RWAs) in crypto?

AThe core idea is bringing real-world value, such as traditional financial assets like bonds, commodities, or credit, onto the blockchain.

QWhat key change in how newer RWAs are managed is contributing to their improved performance?

AUnlike earlier versions that merely 'represented' assets, newer RWAs are issued and managed directly on-chain, with key processes like issuance, settlement, and collateral management happening on-chain.

QWhat is the total value of the RWA market, and which segment has emerged as the primary growth driver?

AThe total RWA market has crossed $27 billion. Non-Treasury assets, valued at $15.8 billion, have overtaken U.S. Treasuries as the primary growth driver.

QWhat does the growth of non-Treasury RWAs indicate about the sector's evolution?

AIt indicates that the sector is diversifying beyond low-risk 'safe' assets and is becoming a fully formed, multi-asset market that is attracting deeper interest in on-chain markets.

Похожее

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

OpenAI engineer Weng Jiayi's "Heuristic Learning" experiments propose a new paradigm for Agentic AI, suggesting that intelligent agents can improve not just by training neural networks, but also by autonomously writing and refining code based on environmental feedback. In the experiment, a coding agent (powered by Codex) was tasked with developing and maintaining a programmatic strategy for the Atari game Breakout. Starting from a basic prompt, the agent iteratively wrote code, ran the game, analyzed logs and video replays to identify failures, and then modified the code. Through this engineering loop of "code-run-debug-update," it evolved a pure Python heuristic strategy that achieved a perfect score of 864 in Breakout and performed competitively with deep reinforcement learning (RL) algorithms in MuJoCo control tasks like Ant and HalfCheetah. This approach, termed Heuristic Learning (HL), contrasts with Deep RL. In HL, experience is captured in readable, modifiable code, tests, logs, and configurations—a software system—rather than being encoded solely into opaque neural network weights. This offers potential advantages in explainability, auditability for safety-critical applications, easier integration of regression tests to combat catastrophic forgetting, and more efficient sample use in early learning stages, as demonstrated in broader tests on 57 Atari games. However, the blog acknowledges clear limitations. Programmatic strategies struggle with tasks requiring long-horizon planning or complex perception (e.g., Montezuma's Revenge), areas where neural networks excel. The future vision is a hybrid architecture: specialized neural networks for fast perception (System 1), HL systems for rules, safety, and local recovery (also System 1), and LLM agents providing high-level feedback and learning from the HL system's data (System 2). The core proposition is that in the era of capable coding agents, a significant portion of an AI's learned experience could be maintained as an auditable, evolving software system.

marsbit29 мин. назад

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

marsbit29 мин. назад

Your Claude Will Dream Tonight, Don't Disturb It

This article explores the recent phenomenon of AI companies increasingly using anthropomorphic language—like "thinking," "memory," "hallucination," and now "dreaming"—to describe machine learning processes. Focusing on Anthropic's newly announced "Dreaming" feature for its Claude Agent platform, the piece explains that this function is essentially an automated, offline batch processing of an agent's operational logs. It analyzes past task sessions to identify patterns, optimize future actions, and consolidate learnings into a persistent memory system, akin to a form of reinforcement learning and self-correction. The article draws parallels to similar features in other AI agent systems like Hermes Agent and OpenClaw, which also implement mechanisms for reviewing historical data, extracting reusable "skills," and strengthening long-term memory. It notes a key difference from human dreaming: these AI "dreams" still consume computational resources and user tokens. Further context is provided by discussing the technical challenges of managing AI "memory" or context, highlighting the computational expense of large context windows and innovations like Subquadratic's new model claiming drastically longer contexts. The core critique argues that this strategic use of human-centric vocabulary does more than market products; it subtly reshapes user perception. By framing algorithms with terms associated with consciousness, companies blur the line between tool and autonomous entity. This linguistic shift can influence user expectations, tolerance for errors, and even perceptions of responsibility when systems fail, potentially diverting scrutiny from the companies and engineers behind the technology. The article concludes by speculating that terms like "daydreaming" for predictive task simulation might be next, continuing this trend of embedding the idea of an "inner life" into computational processes.

marsbit31 мин. назад

Your Claude Will Dream Tonight, Don't Disturb It

marsbit31 мин. назад

Торговля

Спот
Фьючерсы

Популярные статьи

Как купить ONE

Добро пожаловать на HTX.com! Мы сделали приобретение Harmony (ONE) простым и удобным. Следуйте нашему пошаговому руководству и отправляйтесь в свое крипто-путешествие.Шаг 1: Создайте аккаунт на HTXИспользуйте свой адрес электронной почты или номер телефона, чтобы зарегистрироваться и бесплатно создать аккаунт на HTX. Пройдите удобную регистрацию и откройте для себя весь функционал.Создать аккаунтШаг 2: Перейдите в Купить криптовалюту и выберите свой способ оплатыКредитная/Дебетовая Карта: Используйте свою карту Visa или Mastercard для мгновенной покупки Harmony (ONE).Баланс: Используйте средства с баланса вашего аккаунта HTX для простой торговли.Третьи Лица: Мы добавили популярные способы оплаты, такие как Google Pay и Apple Pay, для повышения удобства.P2P: Торгуйте напрямую с другими пользователями на HTX.Внебиржевая Торговля (OTC): Мы предлагаем индивидуальные услуги и конкурентоспособные обменные курсы для трейдеров.Шаг 3: Хранение Harmony (ONE)После приобретения вами Harmony (ONE) храните их в своем аккаунте на HTX. В качестве альтернативы вы можете отправить их куда-либо с помощью перевода в блокчейне или использовать для торговли с другими криптовалютами.Шаг 4: Торговля Harmony (ONE)С легкостью торгуйте Harmony (ONE) на спотовом рынке HTX. Просто зайдите в свой аккаунт, выберите торговую пару, совершайте сделки и следите за ними в режиме реального времени. Мы предлагаем удобный интерфейс как для начинающих, так и для опытных трейдеров.

651 просмотров всегоОпубликовано 2024.04.12Обновлено 2025.06.06

Как купить ONE

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на ONE (ONE) представлены ниже.

活动图片