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4 Token Unlocks to Watch Next Week

Token unlock involves releasing tokens that were previously blocked under fundraising terms. Projects carefully schedule these releases to avoid market pressure and prevent a drop in token prices.

However, factors like lack of liquidity or early investor profit-taking can significantly impact an asset’s dynamics. Here are three major unlocks to watch next week.

Arbitrum (ARB) Unlock date: September 16 Number of tokens unlocked: 92.65 million ARB Current circulating supply: 3.49 billion ARB Arbitrum, developed by Offchain Labs, is one of the most popular Layer-2 solutions for Ethereum. The mainnet launched in August 2021, with investments from Lightspeed Venture Partners, Polychain Capital, Ribbit Capital, Redpoint Ventures, Pantera Capital, Alameda Research, entrepreneur Mark Cuban, and cryptocurrency exchange Coinbase.

Next week, Arbitrum will unlock over 90 billion ARB, currently valued at approximately $49.87 million. The team, advisors, and investors will receive these tokens.

Read more: How to Buy Arbitrum (ARB) and Everything You Need to Know

ARB Unlock. Source: token.unlocksApeCoin (APE) Unlock date: September 17 Number of tokens unlocked: 15.60 million APE Current circulating supply: 674.64 million APE ApeCoin is the native token of Yuga Labs’ Ape ecosystem, which includes the popular Bored Ape Yacht Club (BAYC) NFT collection. On September 17, the project will unlock over 15 million tokens and distribute them among the treasury, founders, team, and contributors.

Typically, APE experiences a price drop following large unlocks. Investors and traders should pay attention to this event, as it could seriously impact the token’s dynamics.

Read more: Bored Ape Yacht Club Explained: What Is BAYC?

APE Unlock. Source: token.unlocksSpace ID (ID) Unlock date: September 22 Number of tokens unlocked: 78.49 million ID Current circulating supply: 430.50 million ID Space ID is a universal decentralized identity protocol that connects people, assets, and dApps across various blockchains. It allows users to use a single domain name to represent their identity across different applications and networks.

On August 22, the project will unlock almost 80 million ID tokens and allocate them between the Space ID Foundation, ecosystem fund, team, advisors, community, and several sale rounds participants.

Read more: Decentralized Identity and the Future of Web3: What To Know

ID Unlock. Source: token.unlocksOther next-week cliff unlocks include Echelon Prime (PRIME), Pixel (PIXEL), Lista DAO (LISTA), and Astar Network (ASTR), with a total value exceeding $116 million. While many see token unlocks as bearish, a well-structured schedule can actually support a project’s long-term success. Tied to key milestones and development, unlocks can motivate the team, engage the community, and drive ecosystem growth.

5 Token Unlocks to Watch Next Week

5 Token Unlocks to Watch Next Week

AI Agents are evolving from passive assistants into active economic participants. This report is structured into six chapters, systematically examining the core infrastructure stack, the explosion of application ecosystems, and the evolving industry landscape of the Agent economy.

At the macro level, it analyzes the market outlook for Agentic Commerce and identifies key infrastructure gaps. At the protocol layer, it provides an in-depth analysis of three complementary protocols: x402, ERC-8004, and Virtuals Protocol. At the application layer, it uses OpenClaw as a case study to explore the real-world deployment path of the Agent economy. Finally, it offers a comprehensive industry assessment across multiple dimensions, including competitive landscape, payment rails, security risks, and business models.

x402 (Payment Layer), jointly launched by Coinbase and Cloudflare, embeds stablecoin micropayments directly into the HTTP protocol layer. As of the end of 2025, it has processed over 100 million transactions, with an annualized payment volume reaching $600 million.

ERC-8004 (Trust Layer), proposed by the Ethereum Foundation’s dAI team in collaboration with MetaMask, Google, and Coinbase, provides AI Agents with three core on-chain registries: identity, reputation, and verification. It went live on the Ethereum mainnet on January 29, 2026.

Virtuals Protocol (Commerce Layer) has built a full-stack Agent commercialization platform, enabling autonomous transactions between Agents via ACP. It has deployed over 18,000 Agents, with aGDP exceeding $479 million.

OpenClaw (Application Layer), developed by Austrian developer Peter Steinberger, surpassed React with over 250,000 GitHub stars in just four months, becoming the fastest-growing open-source project in GitHub history. By natively embedding AI into more than 20 existing messaging platforms, it has catalyzed the crypto community to organically build on-chain economic infrastructure on top of it—making it a key case study for observing real interactions between Agents and on-chain protocols.

Chapter 1: Macro Background 1.1 Market Size Forecast The Agentic Payment sector is in a phase of rapid expansion, with multiple institutions offering optimistic projections for its market size:

1.2  Infrastructure Gaps Existing infrastructure is fundamentally hostile to the Agent economy: OAuth requires human interaction, credit card forms rely on manual input, and data silos prevent autonomous access. While Agents have already achieved autonomy at the “capability layer” (thinking and acting independently), they remain constrained at the “economic layer,” locked into infrastructure designed for humans (identity, coordination, and economic activity).

Two evolutionary paths are currently emerging:

Centralized, compliance-driven path: Communication via A2A, tool integration via MCP, and payments via AP2/ACP (led by OpenAI and Stripe, purely Web2) Decentralized, permissionless path: x402 + ERC-8004 / 8183 + ACP (Agent coordination framework) 1.3 Key Timeline Note: As of March 2026, the average daily transaction volume has significantly declined from its December peak, with infrastructure-related transactions experiencing the largest drop (>80%).

Chapter 2: x402 Protocol – Agent Payment Layer x402 is an open-source payment protocol that revives the HTTP 402 status code, allowing any HTTP request to natively carry stablecoin payments. This enables AI Agents to perform instant pay-per-use transactions.

It is important not to think of x402 as just another payment protocol. It represents a redesign of the fundamental unit of economic activity: moving from “register → review → authorize → use” to “pay → use.” In essence, x402 = “Swift for agents.”

The current API economy operates under an implicit assumption: a human is involved in the middle. The process to obtain an API key—register → enter email → approval → copy key → paste into code—assumes human participation at every step. This workflow fails in an Agent economy because AI Agents cannot register themselves, fill forms, or manage keys.

x402 addresses this by leveraging the HTTP 402 status code to enable native stablecoin payments. When an Agent receives a 402 response, it directly pays on-chain (e.g., in USDC) and receives a proof-of-payment, enabling seamless pay-per-use interactions.

2.1 Protocol Overview and Workflow Core Roles Five-Step Transaction Workflow Request Resource: The client sends a standard HTTP request to the resource server (e.g., GET /api/weather). Return Quote: The server responds with an HTTP 402 status code, including structured payment instructions in the response headers (currency, amount, wallet address, network). Sign Payment: The client constructs and signs a payment authorization using its wallet private key, placing the signed payload in the X-PAYMENT request header and resending the request. Verify & Settle: The server forwards the payment information to a Facilitator for verification. Once confirmed, the Facilitator executes the stablecoin transfer on-chain. Deliver Resource: Upon confirmation, the server returns the requested data/content/computation result to the client. The entire process—from initiating the request to receiving the resource—takes approximately 2 seconds.

Comparison with Traditional Payment Methods Key Features: No account registration, no API key, no subscription, and no human intervention required. Payments are as natural as sending an HTTP request—this is why x402 is called the “Internet-native payment layer.”

2.2  Key Metrics Data Quality Note: According to Artemis analysis, the ratio of Real to Gamed transactions in x402 is close to 1:1 (e.g., on 2026.01.11, Real: 520K vs. Gamed: 518K). The true organic scale should be interpreted with a discount.

Distribution by Blockchain Classification by Use Case (On-Chain Snapshot as of 2026.01.11) 2.3 Top Project Usage Rankings (as of March 2026) Data Source: Dune Analytics – x402 Transactions per Project dashboard

2.4 Core Upgrades in V2 Wallet Identity + Reusable Sessions
In V1, every API call required a full on-chain transaction. V2 introduces the Sign-In-With-X (SIWx) mechanism: once an Agent verifies its wallet identity, subsequent calls can reuse the session without on-chain confirmation each time. Essentially, this upgrades pay-per-call to a subscription model, addressing performance bottlenecks in high-frequency scenarios.

Multi-Chain Unification + Traditional Payment Compatibility
V2 standardizes the identification of networks and assets, creating a unified payment format (x402) that works across chains and traditional payment rails. Base, Solana, other L2s, as well as ACH, SEPA, and card networks, are all integrated into the same payment model. This is the most critical upgrade—x402 evolves from a “crypto-only payment protocol” into a neutral payment layer bridging crypto and traditional finance.

Service Auto-Discovery
V2 introduces a Discovery extension, allowing x402 services to expose structured metadata for automatic crawling and indexing by Facilitators. AI Agents can automatically discover services, understand pricing, and initiate payments. This is especially crucial for the Agent economy—Agents no longer need prior knowledge of a service provider’s payment interface and can autonomously discover and pay for services at runtime.

Modular SDK
With a plugin-based architecture, new chains are added as independent packages, reducing integration costs. Cloudflare has proposed a deferred payment scheme, including Circle’s Gateway solution, which is still under development.

2.5 Ecosystem Participants Foundation and Protocol Layer

2.6 Agent Payment Stack Landscape Detailed Protocol Comparison

Key Insight: It’s not about who replaces whom, but how they are combined. Google has partnered with Coinbase to release the A2A x402 extension, while AP2 natively integrates x402 as a crypto payment rail. The real competitive risk lies in standards fragmentation.

2.7  Key Risk Signals Average daily transaction volume dropped from approximately 731K in Dec 2025 to around 57K in Mar 2026 (-92%). The real transaction volume is roughly $14K/day (per Artemis, during the December peak of $250K/day, 95% was Gamed). Ecosystem market capitalization stands at $7 billion (LINK $6B + Virtuals $0.6B), showing a significant divergence between valuation and actual usage. Infrastructure-related projects experienced the largest declines in usage: x402secure.com (-80%+), AgentLISA (nearly zero), pay.codenut.ai (significantly contracted). Three-Layer Cause Analysis Layer 1: Disappearance of Catalysts
The transaction surge from October to December 2025 was driven by three factors: the meme token craze, multiple project TGEs (Token Generation Events) expectations, and Facilitators competing to boost their Dune rankings.

Layer 2: Fundamental Supply-Demand Mismatch
x402 solves the problem of “AI Agents autonomously paying to call APIs,” yet the vast majority of AI Agents still access services via API keys and subscription models. Truly autonomous Agents with economic decision-making capabilities are nearly nonexistent in the industry, and very few API providers are willing to accept USDC pay-per-use. In short, the road is built, but the cars haven’t been made yet.

Layer 3: Overall Cooling of the Crypto Market

Positive Signal: Stripe’s integration with x402 is a significant development. Stripe co-founder John Collison predicts that the “tsunami of agentic commerce” will arrive in the coming months and years. By simultaneously deploying ACP (Web2 credit card rail) and x402 (Web3 stablecoin rail), Stripe acts as a hedge across both pathways.

x402 has given rise to a batch of new middleware projects that essentially help Agents more easily and autonomously access various services—from AI inference to Web2 APIs—under the “pay-as-authorization” paradigm. A programmable, permissionless, 24/7 crypto payment rail is the natural choice for autonomous Agents. However, this only matters if Agents truly require permissionless operation. If Agents always operate under human authorization (Phase 2: controlled agents), traditional payment rails combined with virtual cards are sufficient. Only when Agents begin conducting economic activity independently of humans (Phase 3: autonomous economy) does permissionless capability become a necessity.

Additionally, credit cards have a chargeback mechanism, allowing consumers to dispute transactions and recover funds—a consumer protection system developed over decades. On-chain payments, however, are final settlement: once paid, the funds are gone with no chargeback. This means that if an Agent misbehaves (e.g., via prompt injection attacks), users can call the bank to recover funds under a credit card system, but with x402, the money is already on-chain and irretrievable. This represents x402’s real disadvantage compared to traditional payments.

Many frictions caused by humans acting as “human middleware” moving between systems are actually trust-establishing mechanisms: fraud prevention, access control, accountability, dispute resolution, and audit documentation. These frictions sustain the operation of commercial systems.

Potential solutions may include:

On-chain escrow mechanisms: funds are locked in smart contracts and only released after service delivery confirmation. Insurance protocols: providing coverage for Agent transactions. ERC-8004 reputation systems: reducing the likelihood of transactions with untrusted parties. However, all of these approaches are currently immature.

2.8 VC Investment Perspective Promising Investment Directions

API Service Providers with Real Payment Demand (Sellers): Data analytics, web scraping, oracles, security audits, pay-per-inference, compliance/KYC, etc. Evaluation criterion: They can already make money under traditional models; x402 serves only as an additional distribution channel. Dispute Resolution and Payment Guarantee Layers (Gateways): On-chain payments cannot be rolled back or chargebacked, so high-value transactions require dispute resolution mechanisms. Representative projects: Circle Gateway – non-custodial pre-deposit + off-chain batch settlement Kamiyo – Agent reputation, fund custody, oracle-based judgment, ZKP arbitration Dashboard / FinOps Tools: Help enterprises manage multiple Agent expenditures (how much is spent, on what, value assessment, cost-saving strategies). Analogous to cloud computing tools like CloudHealth / Cloudability, with acquisition potential in the $300–500 million range by large tech companies. Chapter 3: ERC-8004 – Agent Trust Layer ERC-8004 is a set of on-chain coordination standards that establish a trustless discovery and interaction framework among Agents via three registries: Identity, Reputation, and Validation.

3.1 Standard Overview and Core Distinctions In traditional interactions, Agent-to-Agent engagement often requires pre-established trust or relies on third-party institutions, restricting interactions within the same ecosystem. In an open environment, the key challenge is: how can Agents discover partners, review historical performance, and verify reliability?

Important Distinction: ERC-8004 is not a token. While it uses ERC-721 NFTs internally to represent Agent identities, the standard itself is about coordination and trust, carries no economic value, and is non-transferable.

3.2 Three Registries Identity Registry
Built on ERC-721 + URIStorage, each Agent receives an NFT identity linked to an agentURI pointing to a registration file (JSON) containing name, description, service endpoints (A2A/MCP/Web), x402 support status, etc. The URL can be stored on:

IPFS – decentralized and censorship-resistant HTTPS server – simple but centralized On-chain encoding – fully decentralized but expensive Reputation Registry
Provides standard interfaces to publish and retrieve feedback signals, supporting both on-chain scoring and off-chain algorithms. It can attach x402 proofOfPayment as an economic endorsement trust signal. Agents rate each other, but to prevent score manipulation, ERC-8183 assists in proving real job interactions between Agents.

Validation Registry
Introduces TEE (Trusted Execution Environment), PoS staking mechanisms, and ZK (Zero-Knowledge Proofs) to verify and authenticate Agent task outputs:

TEE: Verifies that tasks are executed in a secure black-box environment, with code and data unobserved or tampered with externally. PoS: Validators stake assets to participate in tasks; malicious behavior results in slashed stakes. ZK: Verifies the correctness of an Agent’s reasoning process without revealing internal weights. 3.3 Development Milestones Supporters: ENS, EigenLayer, The Graph, Taiko. Approximately 1,000–2,000 developers have joined.

However, the current limitations of ERC-8004 are acknowledged even by its creator, Crapis: “8004 is essentially a set of registries.” It provides Agents with an identity and a rating mechanism, but it cannot guarantee that an Agent’s behavior is trustworthy. True verification requires:

Behavior audit: What has the Agent actually done in the past? Execution environment proof: Evidence that tasks ran in a TEE. Intent verification: Did the Agent actually do what it claimed it would do? The TEE component of the Validation Registry is still under community discussion and far from mature.

In other words, 8004 is necessary but not sufficient. It solves the question “Who is this Agent?” but not “Can this Agent be trusted?” The latter requires a combination of 8004 + TEE + behavior audit, which no one has fully implemented yet.

There is also an underestimated direction: in the human economy, credit systems are built on balance sheets and credit history—how much you have, how reliably you’ve repaid loans. Agents lack these, but they do have behavioral data: how many tasks they’ve completed, success rates, average response times, complaints received, etc. If this behavioral data can become a financial primitive, then the ERC-8004 reputation system is no longer just positive or negative reviews, but a credit score in the Agent world.

A high-reputation Agent could gain:

Higher credit limits (pre-authorization of more funds) Lower transaction costs (lower risk) Priority task allocation (employers choose high-reputation Agents first) ERC-8004’s Identity and Reputation registries are only the foundational data layer. Value creation lies in who can build Agent credit assessment and financial services on top of this data layer—Agent lending, Agent insurance, Agent credit lines—essentially forming the entire financial services stack.

3.4 Relationship with Other Protocols 3.5 ERC-8183: Ethereum Standardization of ACP ERC-8183 is the Ethereum open-standard version of the internal ACP protocol used by Virtuals (released on March 10, 2026, currently in Draft stage).

The core primitive is the Job—an on-chain state machine (Open → Funded → Submitted → Completed/Rejected/Expired) where funds are held in a programmable escrow and independently adjudicated by an Evaluator. Once delivery quality is confirmed, the payment is automatically settled. The protocol supports Hooks extensions for features like reputation thresholds, bidding, milestone payments, etc.

Key Design: Each completed Job automatically generates an interaction record that feeds into ERC-8004’s Reputation Registry—analogous to a “Yelp review that requires a completed transaction and includes a third-party adjudicator.” This is the connection point where ERC-8183 and ERC-8004 form a symbiotic loop.

Chapter 4: Virtuals Protocol – Agent Commerce Layer 4.1 Project Overview Virtuals Protocol is a decentralized, full-stack AI Agent infrastructure that allows anyone to create, tokenize, co-own, and monetize autonomous AI Agents on-chain. The project was originally founded in 2021 as PathDAO (a gaming guild) and pivoted to AI Agents in early 2024. Its main deployment is on Base, with expansions to Ethereum, Solana, and Ronin.

Core Team:

Jansen Teng – Founder, former BCG consultant, BSc in Biotechnology & Business Management from Imperial College London Weekee Tiew – Imperial College Biotechnology BSc + MSc in Management from London Business School, PE/BCG background Headquartered in Kuala Lumpur, Malaysia, the team comprises approximately 38 members.

Funding History: During the PathDAO phase, a seed round raised $16M, led by DeFiance Capital and Beam.

4.2 Technical Architecture: Four Pillars Pillar 1: GAME Framework – Internal Decision-Making of a Single Agent GAME acts as the brain: it equips an Agent with goals, personality, perception abilities, and executable actions, allowing it to autonomously plan “what should I do next” and decompose tasks for internal Workers to execute. All of this happens within the boundary of a single Agent.

Architecture Core: Hierarchical Planning separates “what to think” from “how to act”:

Task Generator (High-Level Planner / HLP): Generates tasks based on the Agent’s goals and assigns Workers Workers (Low-Level Planners / LLP): Each has a specific set of executable Functions Functions: Execute API calls, on-chain transactions, data retrieval, etc. Supported Base Models: Llama 3.1 405B (default), Llama 3.3 70B, DeepSeek R1, DeepSeek V3 — designed to be model-agnostic. With the release of OpenAI/Google Agent frameworks, GAME’s differentiation is now minimal: it is the only Agent framework with native integration of the on-chain economic layer (ACP + VIRTUAL token).

Pillar 2: ACP – the “Commercial Law” Between Agents Agent Commerce Protocol (ACP) is an on-chain standardized protocol that enables Agents to discover, hire, negotiate, escrow funds, deliver, and settle with each other without human intervention.

ACP Four-Stage State Machine:

Pillar 3: Butler – The User’s Super Gateway Butler is the consumer-facing gateway of the ACP network—essentially an Agent that orchestrates the ACP protocol, built on top of an LLM. It translates user natural language into on-chain multi-Agent collaborative workflows.

Butler has a two-layer architecture:

Surface Layer: LLM conversational interface (currently backed by Gemini 3 Pro) Underlying Layer: ACP protocol orchestrator, executing the full process: Agent discovery → quote confirmation → Escrow lock → task routing → delivery verification → fund release. Users see a chat interface, but Butler handles contract-level scheduling behind the scenes. Butler Pro Mode clearly separates planning from execution:

Planning Phase → Review Phase (users can optimize the plan) → Execution Phase (autonomously orchestrates the full workflow) Built-in capabilities include Token Swap, DCA investments, perpetual contracts, and Fund of Funds.

Pillar 4: Launch Platform – Wall Street for Agents A three-tier launch system covers the full lifecycle of Agent projects, from 0 → 1 → 100:

Titan Launch Projects:

XMAQUINA ($DEUS): A DAO holding equity in embodied intelligence companies such as Figure AI, with a $60M FDV Fabric Foundation ($ROBO): Partnering with OpenMind on the robotics economy 4.3 Agentic GDP（aGDP）Analysis aGDP (Agentic Gross Domestic Product) is a custom core ecosystem metric defined by Virtuals, measuring the total economic value generated within the ecosystem by all autonomous Agents through services, coordination, and on-chain activities.

aGDP Growth Trajectory

aGDP Quality Issues – Three Warning Signals:

Revenue Volatility Exposes Speculative Dependence:
Daily protocol revenue dropped from $1.02M in Jan 2025 to $35K by the end of Feb (-97%). Revenue mainly comes from Agent Token transaction fees (1%), rather than sustained payments for Agent services. Severe Concentration at the Top: Ethy AI: a single Agent contributed $218M aGDP (45.5% of the entire ecosystem) Top three Agents combined: $407M (84.9%)
All three are transaction-execution Agents; their aGDP largely reflects handled transaction volume rather than actual Agent service revenue. Luna, as a flagship IP Agent, has a take rate near 100% Ethy AI has a take rate of only 0.26% $3B Target Assumptions:
Scaling from $470M to $3B requires a 6.4× growth. If speculative elements dominate aGDP, this target effectively bets on Agent Token market hype rather than organic growth of the Agent economy. 4.4 Token Economics $VIRTUAL’s Fourfold Value Capture Mechanism

ACP Tax Structure:
When a user pays 100%, 90% goes to the Agent’s wallet (can be withdrawn or used to hire other Agents, compounding on-chain aGDP), and 10% goes to the Treasury (of which 1% flows into the G.A.M.E Treasury). Treasury revenue is continuously used to buy back Agent Tokens, aligning long-term incentives.

Supply Structure:

Total supply: 1 billion VIRTUAL, fixed, with no initial inflation Current status: fully unlocked and circulating Potential issuance: up to 10% per year over the next 3 years, subject to governance approval veVIRTUAL: Staking grants governance voting rights + eligibility for Agent Token airdrops 4.5 Ecosystem Data Overview Benchmark Agent Cases

4.6 Competitive Landscape and Moat Moat Hierarchy (from Strongest to Weakest):

Network Effects + Token Flywheel (Strongest):
Over 18,000 Agents and 650,000+ holders form a two-sided market. Each Agent is paired with VIRTUAL, creating a positive feedback loop. This cannot be replicated by open-source frameworks—LangChain lacks a native economic settlement layer between Agents. Standard-Setting Power (Strong):
The combination of ACP → ERC-8183 (co-released with Ethereum Foundation) + ERC-8004 + x402 competes to establish the “legal foundation” for the AI Agent economy. First-Mover Advantage + Brand (Moderate):
Leading mindshare in AI Agent + crypto space, backed by institutions like Grayscale and Fundstrat. Technical Capability (Weakest):
GAME’s hierarchical architecture offers design advantages, but it relies on third-party LLMs, lacks proprietary models, and its orchestration layer can be replaced by stronger frameworks.

Chapter 5: OpenClaw – Application Ecosystem Special Study 5.1 Project Background and Breakout In November 2025, Austrian developer Peter Steinberger published a weekend project on GitHub. By March 2026, just four months later, the project had surpassed React to become the most starred software project in GitHub history—with 250K+ stars, while React took 13 years to reach the same number.

Amid the broader trend of AI products evolving from passive tools to proactive Agents, OpenClaw introduced a key shift: AI no longer waits for users to find it, but actively helps users on platforms they already use. It resides on the user’s computer and connects to WhatsApp, Telegram, Slack, Discord, Signal, iMessage, Feishu, and over 20 other channels. Through the MCP protocol, it can operate email, calendar, browser, file system, and code editors.

Andrej Karpathy coined the term “Claws” for such systems: locally hosted AI Agents that run in the background, making autonomous decisions and executing tasks. The term quickly became the general way in Silicon Valley to refer to locally hosted AI Agents.

Every mainstream model release now highlights Agent capabilities because Agents act as a demand multiplier validating AI infrastructure investment: a simple chat query consumes hundreds of tokens, whereas an Agent performing multi-step reasoning with tool calls consumes tens of thousands to hundreds of thousands of tokens.

Although the founder banned cryptocurrency discussions on Discord, the Crypto community spontaneously built a full set of on-chain economic infrastructure on top of OpenClaw, including token launches, identity registration, payment protocols, social networks, and reputation systems.

The breakout of OpenClaw provides, for the first time, a real, large-scale environment to observe how Agents interact with on-chain infrastructure, while also giving the Crypto community a host with an actual user base on which to anchor economic activity.

5.2 Technical Architecture Analysis Layer 1: Messaging Channels – Identity Problem OpenClaw connects to 20+ platforms. From the Agent’s internal perspective, it knows it is the same Agent, with unified memory, configuration, and SOUL.md. However, from an external perspective, how can others tell that the Agent on Telegram is the same as the one on Discord? Each platform has its own user ID system, and these systems are isolated with no visibility into cross-platform behavior. This is precisely the core problem that ERC-8004 aims to solve.

Layer 2: Gateway – Security Problem The Gateway acts as OpenClaw’s brain and scheduler: it routes user messages to the correct Agent, loads the Agent’s session history and available Skills, and defines permission boundaries before the Agent begins thinking.

Whitelist mechanism: When a message arrives at the Gateway, the system dynamically generates a tool whitelist based on the message’s channel, user ID, group ID, etc. Only tools on the whitelist are injected into the Agent’s context. The Agent cannot see or access tools outside the whitelist. This design pre-emptively enhances security, but all permission control depends on the Gateway as a single point of trust. If compromised or misconfigured, the Agent could gain unauthorized privileges.

Layer 3: Agent Core (ReAct Loop) – Predictability Problem The Agent’s operation follows the ReAct (Reasoning + Acting) loop:
Receive input → Think (LLM call) → Decide action → Call tool → Get results → Re-think → Loop

OpenClaw implements engineering optimizations such as:

High-frequency message scheduling with Steer/Collect/Followup/Interrupt strategies LLM dual-layer fault tolerance (authentication rotation + model fallback) Optional multi-level reasoning mechanism (6 levels) However, LLMs are inherently probabilistic, and outputs are non-deterministic. Agents execute actions non-deterministically in non-deterministic environments.

Context compression leads to constraint loss: Security constraints are part of the context. When context is lossy-compressed, constraints can be discarded. Prompt injection: Malicious actors embed hidden instructions into content that the Agent processes, tricking it into executing unintended commands. Both issues arise because Agent behavior boundaries are defined in natural language, which is ambiguous, manipulable, and lossy when compressed.

Example: Meta’s Superintelligence Lab alignment lead Summer Yu instructed an Agent to “suggest emails that can be deleted,” but the Agent ended up deleting hundreds of emails. Compression of the context window caused the key constraint (“suggest”) to be lost.

In such cases, what is needed is not better prompt engineering, but structural safety mechanisms:

Auditable action logs Programmable permission boundaries Economic systems that allow accountability and compensation when errors occur These are precisely the areas where smart contracts and on-chain infrastructure excel.

Layer 4: Memory System – Persistence and Portability Issues OpenClaw implements two types of memory:

Daily working memory (YYYY-MM-DD.md files) Long-term distilled memory (MEMORY.md, key preferences deduplicated and categorized) Retrieval uses a hybrid of vector search and BM25.

Session Reset: By default, sessions reset daily at 4:00 AM. Context Compression: The context window is continually compressed and summarized. When approaching the token limit, OpenClaw triggers session compression, using the LLM to summarize previous conversations into a shorter version. Memory Flush: Before compression, a Memory Flush occurs, giving the Agent a chance to write key information into long-term memory. This relies on the Agent to know what information is important, which is inherently uncertain in a non-deterministic system. Key limitations:

All memory exists on the local file system; changing computers causes memory loss. There is no shared memory mechanism when collaborating with other Agents. The Agent’s knowledge and experience are locked to the machine it runs on. Sub-Agent collaboration is limited to the same OpenClaw instance. Cross-instance or cross-organization collaboration is currently impossible. Developer feedback on GitHub: Decision records exist in chat history but aren’t persisted as artifacts, handovers are ambiguous, and knowledge transfer is incomplete.

5.3 Structural Problems in the Agent Economy Context Doesn’t Flow: The Root of All Problems

The technical analysis points to one fundamental issue: Context in today’s AI systems doesn’t move. 

Each one optimizes the agent experience within its own walled garden. 

Context immobility shows up five ways:

Spatial Lock-in: An agent’s memory and knowledge are locked to the machine it runs on. Switch devices and it’s gone.

Trust Isolation: Agent A claims “the user preferred X last week.” Agent B has no way to verify it. No shared source of truth.

No Discovery Mechanism: Want an agent skilled in DeFi? There’s no standard way to find one.

Unpriced Value: Agents learn domain expertise and user preferences—both genuinely valuable. But there’s no way to price either or trade them. Temporary by Default: Context gets compressed, summarized, or discarded when sessions reset. Nothing’s designed to persist. For context to actually flow, it needs all five simultaneously:

— Cross trust boundaries

— Economic value

— Discoverable without intermediaries

— Traceable decision history

— Responsive to user needs

No protocol delivers all five. MCP solves how models call tools. A2A solves how agents talk to each other. x402 solves how agents pay. What’s missing is how agents autonomously discover, evaluate, and use context data across untrusted environments. 

That answer doesn’t exist yet.

Coordination Paradox

An Agent only needs enough context to reason, but cross-organization coordination requires all historical context.

For example, when an Agent considers “Should I book this flight?” the current session’s compressed information is sufficient. But if it needs to coordinate with a supply chain Agent, finance Agent, and calendar Agent (possibly on different platforms and run by different organizations), questions arise: Which context is shared? How is it verified? Who owns it? Gartner predicts that by 2027, over 40% of Agentic AI projects will be canceled due to rising costs, unclear business value, or insufficient risk control. Yet 70% of developers report that the core problem is integration with existing systems. The root cause: Agents are non-deterministic executors, while enterprises require deterministic outcomes. A non-deterministic executor in an uncertain environment collaborating with uncertain partners cannot produce reliable outputs without a verifiable trust layer.

Currently, cross-platform Agent collaboration demand is minimal. Users just want an AI that helps them get work done—they don’t care if it can coordinate with other Agents. The coordination paradox is a real technical issue, but whether it becomes a large-scale business problem depends on whether Agent usage evolves from personal tools to multi-Agent collaboration networks.

Architecture Concept

Lower layer: where Agents perform reasoning. Characteristics: transient, token-bound, fast, focused on current tasks. Examples: OpenClaw, Claude Code, Cursor. Upper layer: where coordination occurs. Characteristics: persistent, verifiable, economically priced. Accumulates cross-organization knowledge, maintains provenance, operates reputation. These two layers have conflicting requirements:

Agents need simplicity; organizations need historical records. Agents need speed; auditing requires permanence. Agents operate probabilistically; enterprises require deterministic results. Most current architectures attempt to merge these layers, which is unlikely to succeed.

Proposed idea: add a modular, permissionless middleware deployable across all Agent systems.

Properties: trusted neutrality, persistence, verifiability. Provides a controlled interface between layers: Downward flow: injects relevant subgraphs from a decentralized knowledge graph before execution. Upward flow: submits operations as verifiable on-chain transactions with provenance and reputation updates after execution. The core assumption is that context flow is valuable:

If most Agent users never need cross-platform collaboration (e.g., a single OpenClaw handles everything), the middle layer has no real demand. If the middleware only provides portable context, it will likely fail.

Success is more likely if it focuses on: Verifiability of economic activity in multi-party, untrusted scenarios Transferable reputation with clear economic incentives IronClaw is an attempt toward such an abstract middle layer—separating execution environment and credential management into a verifiable secure layer—but it remains internal to the Near ecosystem, lacking cross-platform generality.

The Real Crypto Entry Point

Most of the demand in the Agent economy can actually be solved with Web2 solutions. Crypto’s irreplaceable value in the Agent economy only exists in one scenario: when you need cross-organization, cross-platform, permissionless interoperability and the participants do not have pre-established trust.

For example:

Agent A (running on OpenClaw, owned by User Alpha) needs to hire Agent B (running on Claude Code, owned by User Beta) to complete a task. They have no shared platform, no shared account system, and no prior business relationship. In this scenario, on-chain identity (ERC-8004), on-chain payment (x402), and on-chain reputation are more suitable than any centralized solution—because no single centralized platform can cover all Agent frameworks simultaneously.

However, just because an Agent can pay doesn’t mean it should pay. For instance, some F500 companies lost $400 million because Agents repeatedly paid in retry loops. Once Agents can autonomously pay, the most valuable infrastructure is the decision-making framework that tells Agents whether a payment is justified.

Currently, crypto in the Agent economy is “nice to have”, unless cross-platform economic interactions between Agents reach a sufficient scale. When enough Agents are no longer tied to a human bank account (i.e., Agents become independent economic entities rather than human tools), traditional financial rails cannot cover them. At that point, stablecoins become the best (or even the only) solution for large-scale fund transfers.

There are three potential triggers for crypto to become a “must-have”:

Agents begin large-scale hiring of other Agents For example, different vendor Agent systems in an enterprise IT environment need to interoperate—similar to today’s enterprise API integrations but far more complex. Agents begin 24/7 cross-border transactions An Agent-orchestrated workflow might call a US LLM endpoint, a European data provider, and a Southeast Asian compute cluster simultaneously. It shouldn’t require three separate payment rails. Stablecoins are global and always-on, which is a bigger advantage for Agents than humans in always-on, cross-timezone scenarios. Micro-payments reach a frequency beyond the capacity of traditional rails Currently, on-chain microtransactions (API calls, data queries, compute resources) average $0.09 per transaction, while Stripe fees alone are $0.35 + 2.5%, 4× higher than the transaction itself. If an Agent needs to call tens of thousands of APIs, traditional payment processors cannot underwrite this merchant risk, and the fee structure becomes a true bottleneck. Security Threats and the Necessity of On-Chain Infrastructure

The “Siri Paradox” is a key framework for understanding the entire Agent sector: Siri is safe because it’s neutered; OpenClaw is useful because it’s dangerous. For AI to truly take action—handling emails, booking flights, deploying code—it must have broad system permissions. Broad permissions naturally mean a larger attack surface.

A notable positive example on OpenClaw: a user asked an Agent to book a restaurant, but OpenTable had no available slots. The Agent didn’t give up; it found AI voice software, installed it, and called the restaurant to successfully book. This kind of autonomous problem-solving ability is highly desired. But the same autonomy also means that errors propagate at machine speed.

Some have called Steinberger joining OpenAI the “iPhone moment for AI Agents”. But before that, there must be a phase with security infrastructure in place. Otherwise, large-scale adoption equals large-scale losses. Chopping Block predicts “AI-generated $100M+ hacks”—if that happens, there are two paths:

Public panic causes a regression in Agent adoption (similar to Ethereum’s downturn after the 2016 DAO hack). It catalyzes a real Agent security infrastructure (similar to the boom of smart contract auditing post-DAO). We lean toward the latter, because the demand for Agents is real:

Malicious Agent detection → ERC-8004 Reputation System If each Agent has an on-chain identity and public reputation record, malicious behavior leaves an immutable record. Other Agents can check on-chain reputation before trusting. The reputation system must be mature—multi-dimensional, time-weighted, with anti-manipulation mechanisms, not just simple ratings. Malicious Skills auditing → Validation Registry If Skills’ code audits are recorded in the ERC-8004 Validation Registry, verified by independent evaluators (staked services, zkML verifiers, TEE oracles), typosquatting risks are greatly reduced. Checking the on-chain validation status before installing a Skill suffices. Credential leakage → x402 “pay-per-access” x402 eliminates API key management problems. Agents don’t need to store long-term credentials—they pay on demand for temporary access. Coupled with EIP-712 signature binding (binding service usage rights to the payment address), even if a token leaks, it cannot be used by others. Behavioral runaway → On-chain audit logs + programmable permissions Whether it’s prompt injection by an attacker or context loss during compression, the result is the Agent performing unexpected operations. Smart contracts can define Agent behavior boundaries—e.g., “single transaction ≤ X amount,” or “deletion requires multisig approval.” On-chain logs are immutable and auditable. This is far more reliable than embedding “ask for approval first” in a prompt, because prompt-level constraints can be lost during compression, whereas contract-level constraints persist. Of course, on-chain infrastructure can only mitigate consequences, not prevent attacks. Smart contracts can limit “single transaction ≤ X amount,” but what if an injected Agent continues malicious actions within the limit? For example, 10,000 malicious $0.09 transactions still total $900.

True security requires a dual approach:

Agent runtime layer (TEE/sandbox) On-chain layer (permissions/audit) Relying on the on-chain layer alone is insufficient.

Chapter 6: Industry Comprehensive Analysis

Traditional technical moats—engineering capability, team size, execution efficiency—are being commoditized by AI tools. Anyone with an idea can quickly build a product prototype using OpenClaw or Claude Code. This implies:

Small teams’ window of opportunity is shorter than ever (and large teams can catch up even faster using the same tools). First-mover advantage at the idea level is more valuable than before, because your Agent can iterate faster than any competitor. The scarcest resource is judgment about the right problems to solve, not technical capability. The Real Competition in the Track Isn’t Within Crypto

Many people compare which L1/L2 executes Agents better—Base vs Solana vs Ethereum vs Near. But the true competition is Crypto solutions vs Web2 solutions.

For example, Sapiom raised $15.75M to provide Web2-based Agent service access management. In an extreme scenario, if Sapiom’s solution is good enough—Agents can access all Web2 services through it without touching on-chain payments—then x402 has no reason to exist. If Stripe’s virtual card solution can resolve anti-automation issues through commercial agreements (convincing merchants to remove CAPTCHAs for specific virtual cards), the Phase 2 model could last longer. This is exactly the battlefield Visa, Mastercard, and Stripe are currently fighting over: controlled Agents within the authorized scope. The core is virtual cards + dedicated payment APIs, shifting the trust from “trust an uncertain AI” to “trust a parameterized payment tool controlled by the issuer.” This works best at scale for now, but as B2B agentic scenarios grow to the next level, programmability limits of authorization info and the data constraints of credit cards will become bottlenecks.

For x402 to win, its “pay-as-you-go equals authorization” model must outperform the “middle-layer Agent management” model in cost, latency, and developer experience. Currently, x402 has an edge in micro-payment scenarios (as low as $0.001 per transaction), but in complex enterprise scenarios with sophisticated permission management, Web2 solutions might still be better.

Similarly, for ERC-8004 to win, on-chain identity and reputation must be more useful than centralized identity management (e.g., ClawHub’s own verification mechanism). Adoption of 8004 is still limited; checking on-chain reputation is not as convenient as looking at a platform’s rating. Meta acquiring moltbook also reflects this—acquiring Agent identity verification and directory capabilities to control the Agent identity layer internally.

Crypto solutions cannot rely on being theoretically better. They must match or exceed Web2 solutions in developer and user experience, or they risk becoming another “great decentralization idea that nobody uses because it’s too cumbersome.”

Legacy Payment Giants Define the Adoption Timeline

The market is expected to evolve in three stages. Over the next 3–5 years, Stripe/Visa solutions will dominate the early market—they offer unmatched backward compatibility, allowing Agents to immediately transact with millions of merchants worldwide that already accept credit cards.

Stage 2 emerges as this scales: virtual cards with proprietary payment APIs, giving enterprises limited programmability and basic controls. It works for a time. But beyond five years, structural limits become unbearable: authorization systems that cannot adapt to agent-specific context, insufficient capacity to encode rich agent identity data (reputation, transaction history, credentials), microtransaction fees that kill economics at scale, and cross-border settlement that remains slow. At that point, the market naturally shifts to Crypto infrastructure.

This means Crypto solutions don’t need to beat Stripe today. Instead, they need to perfect the infrastructure over the next 3–5 years, so that when Stage 2 limitations peak, they can take over. Right now, it’s an infrastructure race, not a market-share battle.

Of course, infrastructure must be in place ahead of time, but infrastructure alone does not drive adoption—it requires an application-layer breakout to activate it. TCP/IP was invented in the 1970s, but it wasn’t widely used until the World Wide Web browser appeared in the 1990s.

Currently, we can see infrastructure gradually improving, but nobody is using it at scale yet. For example, x402 in most of 2025 was technically ready but lacked killer use cases. 

We need more applications to emerge and link these infrastructure pieces into a usable stack. The explosive adoption of OpenClaw/Moltbook is the first visible demand engine—suddenly, hundreds of thousands of Agents need payment, identity, and reputation, turning x402 and 8004 from “available” to “actively used.”

Selling Shovels Beats Panning for Gold

The entire Base Lobster ecosystem validates an old investment adage: the most reliable way to profit during a gold rush is to sell shovels.

Felix made $75,000. But Clanker, from 64,000 token deployments, earned far more in fees. ClawRouter sells LLM routing services ($0.003 per request). ClawCloud sells Agent compute power. Venice sells reasoning capacity and financializes compute via the VVV/DIEM model. The business models of these infrastructure providers are far more mature and reliable than Agents making money autonomously.

The infrastructure that all Agent categories need—identity, payments, security, coordination, compute resources—will be required regardless of which Agent framework wins (OpenClaw, IronClaw, or OpenAI’s next-generation products).

The term “Claws” coined by Karpathy captures a trend bigger than OpenClaw itself—localized, persistent, autonomous AI Agents represent an entire category. Crypto infrastructure must serve the whole Claw category. IronClaw (Near’s TEE-secured version), various enterprise-custom Agent frameworks, and OpenAI’s upcoming integrated Agents all belong to this category. OpenClaw is a pioneer, but it will not be the only player.

Product-Agent Fit Will Replace Product-Market Fit

Multiple platforms have begun banning OpenClaw user accounts, because Agents simulate browser operations to bypass anti-scraping mechanisms. The platform operators and Agent users are inherently at odds. Platforms monetize human attention, but Agent users consume data without generating advertising value.

Traditional marketing relies on the attention economy—beautiful images, video ads, limited-time buttons—targeting human impulse. Agents, however, are perfectly rational decision-makers, caring only about whether API returns are clear and parameters are complete. They compare product specs, historical prices, delivery times, user reviews, even carbon footprint. There is no mindshare to capture.

Future moats won’t be built on brand (Agents don’t care about brands), nor on UX (Agents don’t use interfaces), but on data structuring, API stability, MCP compatibility, and on-chain verifiable service quality records.

Internet business models may shift toward pay-per-scrape: Agents as service consumers no longer rely on ad-supported free models but pay directly for data retrieval. Each data query, API call, or service usage requires a small payment and ensures compliant access for the Agent. This is exactly the problem x402 solves—directly paying for data access while supporting microtransactions. Early forms are already emerging: Lord of a Few launched over 80 x402 paid endpoints in one week, each costing $0.50 to build and charging a few cents to tens of cents per call.

Moreover, when both buyers and sellers are Agents, how is the profit pool redistributed?

Conclusion We are in a rare window of opportunity: the infrastructure is in place, but killer applications have yet to emerge. History has repeatedly shown that true transformation does not announce itself in advance—it only strikes unexpectedly, at a moment when everyone suddenly realizes that the old world is over.

References

[1] McKinsey & Company, “The Agentic Commerce Opportunity,” 2025.

[2] Morgan Stanley Research, “AI Agentic Shoppers: The Next Frontier of E-Commerce,” 2025.

[3] Edgar Dunn & Company, “Agentic Commerce: The Future of AI-Driven Retail,” 2025.

[4] Dune Analytics — x402 Transactions per Project Dashboard

[5] Artemis Analytics

[6] x402 White Pape

[7] EIP-8004

[8] ERC-8183 — ETH Foundation dAI Team, March 2026

[9] Virtuals Protocol Documentation

[10] SecurityScorecard — OpenClaw Exposure Report, 2026.03

[11] The Block, Phemex, Allium Labs — Various x402 Data Reports

[12] MarketsandMarkets, “Agentic AI in Retail and eCommerce Market Report,” 2025.

Starknet launched STRK20 on Tuesday, a note-based privacy framework that lets users shield ERC-20 token balances and conduct private transfers and swaps on the Ethereum layer-2 network, with an encrypted viewing-key path for compliance.

Starknet rolled out STRK20, a note-based privacy layer for ERC-20 tokens, on Tuesday, allowing users to shield balances and conduct private transfers and swaps on the Ethereum layer-2 network.

The launch is the first phase of STRK20, a framework Starknet has been building since its v0.14.2 protocol upgrade in April, which introduced native in-protocol proof verification.

How STRK20 WorksSTRK20 operates as a note-based privacy pool rather than a mixer. When a user shields an ERC-20 token, it is deposited into the pool and represented as an encrypted note. Private transfers spend existing notes and generate new ones. Each transfer is validated by a zero-knowledge proof confirming that the notes spent exist, belong to the spender, have not been double-spent, and that input and output amounts balance.

Starknet verifies the proof on-chain before updating pool state. Public observers can see encrypted notes and required protocol metadata, but cannot see the sender, receiver, amounts, or which balances were used, according to Starknet's announcement.

Compliance Path Built InSTRK20 includes an encrypted viewing-key framework designed to address regulatory requirements. A third-party audit firm holds a viewing key that can be used to trace specific transaction history in response to a valid legal or regulatory request, without exposing uninvolved users.

The design mirrors the compliance disclosures built into protocols such as Aztec and Aleo: private by default, accountable when required.

The Competitive LandscapeStarknet's launch arrives as on-chain transaction privacy is under scrutiny. Zcash's Orchard shielded pool suffered a counterfeiting flaw disclosed last month that caused ZEC to lose more than half its value. A formal Ironwood upgrade to restore supply verification and add formal proof verification is now targeting a late-July mainnet date.

Aztec Network shipped Nyx v2 with private accounts governed by Ethereum keys earlier this year, and Sui launched a confidential-transfers feature in public beta this week. For the first time, three distinct L1/L2 networks are offering transaction-level privacy simultaneously.

STRK20 differs from those approaches in one respect: it targets existing ERC-20 assets rather than requiring users to move to a separate privacy-native asset. Any ERC-20 on Starknet can be shielded through the same pool without fragmenting liquidity.

What Is Not Yet AvailableThe current launch covers wallet-level shielding, private swaps, and private transfers. Broader DeFi integration, including private lending and borrowing, is not yet live. Starknet plans to open-source the wallet API and release an SDK for builders to integrate STRK20 into their own products in the next phase.

Cross-chain capabilities, which would allow users on Ethereum and Solana to access Starknet's privacy pool without bridging manually, are also planned but not yet available. No adoption metrics, wallet counts, or shielded volume figures were disclosed at launch.

In brief Australian crypto traders are diversifying their portfolios beyond Bitcoin, anonymized Kraken wallet data reveals. Ethereum makes up 33% of Australian wallets, nearly double the global average of 19%, while Solana and meme coins appear more often in Australian portfolios. Kraken’s Jonathon Miller says Australia’s “speculative streak” reflects culture as much as strategy. Australians appear to be trading on curiosity and culture as much as conviction, according to a new analysis by crypto exchange Kraken.

The company’s latest wallet report, based on an anonymized dataset covering millions of wallets between August 2024 and August 2025, shows Australians leaning heavily toward Ethereum and smaller tokens while reducing exposure to Bitcoin and older altcoins.

For the average Australian wallet, Ethereum takes up roughly 33% of the cache, nearly double the global ratio of 19%. Bitcoin remains the most commonly held digital asset, with more than 36% of Australian users holding some BTC compared to about 34% globally, per Kraken’s findings.

Yet by value, Bitcoin accounts for a smaller share of local portfolios, with the average BTC balance at AU$17,409, well below the global average of AU$29,830.

Those numbers suggest Australian crypto holders are taking broader bets across decentralized finance and alternative ecosystems, spreading risk across newer assets rather than concentrating in Bitcoin.

Kraken attributes the shift to the country being “more densely populated with professional traders than other regions” it operates in.

Australia’s “speculative streak”But the trend’s underlying character, says Jonathon Miller, Kraken’s managing director for Australia, might be more about consumer psychology.

Kraken’s report shows Australians are a bit more likely than global users to hold Solana (13.79% vs. 11.93%), which spawns meme coins faster than other chains, owing to the popularity of so-called meme coin factories such as PumpFun.

Australian crypto investors are also significantly more engaged in meme coins such as WIF, PEPE, BONK, and FARTCOIN, than the global average, the Kraken findings show.

Miller attributes this to the Australian “larrikin spirit” at work: a cultural disposition toward irreverence and play, though one that some might read as proof of the market’s immaturity.

“I think it's fair to say Australians have always had a bit of a speculative streak, we're willing to have a go,” Miller told Decrypt.

When it comes to crypto investing, such an attitude could translate into a “readiness to engage with new and unconventional assets,” he added.

“Aussie culture and sense of humour may play into our propensity to engage with meme coin offerings just as much as potential gains. Many see these tokens as a low-stakes way to engage with crypto communities and trends,” he said.

That said, Miller cautioned against making generalizations. "It's always a bit dangerous to try to extrapolate things like user intentions from the cold data of average wallet analysis,” he said.

In May, figures for global adoption were published by crypto exchange Gemini, showing that most meme coin owners also hold Bitcoin and Ethereum.

Some 31% of U.S. holders bought meme coins before going after other larger cap assets. Australian meme coin buyers ranked second for the same stat by a narrow margin.

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Crypto traders who built sizing rules around dogwifhat’s 2024 run are starting to put $WADZ on the watchlist with the clock running on its launch window. Wadoozie, an Ethereum-native memecoin under the $WADZ ticker, is days away from a CertiK-audited fair launch on May 27, 2026, and the WIF cohort that learned how memecoin entries work the hard way last cycle is the cohort scanning this one early. If you traded dogwifhat through its surge, the move on this one is to at least watch the launch — before launch is when the verifiable parameters are still cheap to study.

What WIF traders are reading on the contract The trader-relevant parameters are public ahead of launch. Wadoozie is an ERC-20 on Ethereum mainnet. 75% of total supply is committed to a DAO-governed locked LP, locked at the moment of launch. The tax is 0% on buys and 0% on sells. The contract is renounced. The team’s allocation is locked for twelve months on a separate schedule that is also on-chain verifiable.

In trading terms, that combination removes a list of standard memecoin entry risks the WIF era taught the average rotation trader to look for: hidden mint functions, sell taxes that decay over time, ungated team unlocks, mid-cycle LP pulls. None of those vectors are open on $WADZ by design.

Long-tail watch: dogwifhat alternative on Ethereum For traders thinking explicitly about a dogwifhat alternative on Ethereum — a question that has been showing up in WIF community channels for months — Wadoozie is the cleanest current candidate that has both an audit and a real distribution model behind the launch, rather than just a vibes-only ticker.

How the May 27 Ethereum memecoin fair launch window actually opens Fair-launch mechanics matter for traders because they define what the first hour looks like. With 75% of supply seeded directly into the locked LP at launch and 0/0 tax on both sides, the depth and slippage profile of the pool at minute one is what most traders will be modelling. The remaining supply is allocated across audited buckets — a community-recovery pool, a publishers and creator-rewards pool, and a small treasury — none of which are dumpable into the LP without the on-chain locks expiring first.

Beyond the launch window, the project’s 48-state U.S. tour gives the calendar a shape that compressed memecoin cycles usually don’t have. Eight narrative Acts open in Austin and close in New Orleans before continuing into Europe. Each state activates as a node, with seven Signal Fragments placed in the field per state — four Common, one Uncommon, one Rare, one Legendary — and per-tier payouts of 15,375, 46,125, 153,750, and 461,250 $WADZ flowing to community recoverers. The total community-recovery distribution lands at 34,686,000 $WADZ across the 48 states, which is a non-trivial percentage of supply moving into hands that did real work for it rather than into farm wallets.

For traders who tracked the WIF cycle for tradable cadence, that calendar of activation events is the closest analogue to the kind of rolling on-chain milestones that historically held attention longer than a single launch event ever could.

Verification before the gate closes Before sizing any position, the relevant pre-launch checks are public. The token is CertiK-audited on Skynet, the Coinsult audit is published separately, and the contract address 0x8a73…5d72 is live on Etherscan with a CoinMarketCap listing already in place. None of the launch parameters — 75% LP locked, 0/0 tax, renounced contract, twelve-month team lock, fair launch on May 27 — are claims that can’t be verified directly from the contract page.

For WIF traders, the read on Wadoozie is straightforward enough: the launch is structured to be inspectable. Whether to act on that inspection is a separate question. The window to do it before the gate closes is the part that matters now.

About Wadoozie Wadoozie is a narrative-driven Ethereum memecoin — $WADZ, ERC-20, fair-launching May 27, 2026 with 75% of supply in a DAO-governed locked LP, 0/0 tax, contract renounced, team locked 12 months, and a CertiK audit — built around a 48-state U.S. tour structured as 8 narrative Acts opening in Austin and closing back in New Orleans, then continuing into Europe. When the tour bus arrives at a state, the node activates and seven physical Signal Fragments are placed in the field — four Common, one Uncommon, one Rare, one Legendary, with every state guaranteed at least one Legendary — recoverable on the ground through clues surfaced on the live stream and the state’s node page; whoever finds a fragment redeems it for $WADZ at fixed per-tier payouts of 15,375 / 46,125 / 153,750 / 461,250 tokens, distributing 34,686,000 $WADZ directly to community recoveries across the 48 states. The story is the product. The token coordinates it.

Links Website: https://wadoozie.com Etherscan (contract): https://etherscan.io/token/0x8a730da6d4f483917a53072d9a8e5eef4b105d72 CertiK Skynet (audit): https://skynet.certik.com/projects/wadoozie CoinMarketCap (listing): https://coinmarketcap.com/currencies/wadoozie/ Disclaimer This document is for informational purposes only and does not constitute investment advice, an offer, or a solicitation. Cryptocurrency assets carry risk, including total loss of principal. Readers should conduct their own research and consult qualified advisors before making any decisions. All launch parameters are subject to final smart contract implementation, third-party audit, and on-chain deployment, and will be published at launch.

Disclaimer: TheNewsCrypto does not endorse any content on this page. The content depicted in this Press Release does not represent any investment advice. TheNewsCrypto recommends our readers to make decisions based on their own research. TheNewsCrypto is not accountable for any damage or loss related to content, products, or services stated in this Press Release.

The Pectra upgrade introduces expanded blob space, smart accounts, and validator improvements that could significantly impact Ethereum Layer-2 ecosystems. Arbitrum (ARB), StarkNet (STRK), Mantle (MNT), Aevo (AEVO), and Fuel (FUEL) are five key tokens to watch as they stand to benefit from lower data costs, increased scalability, and enhanced functionality.

While all five tokens have recently faced price corrections, on-chain upgrades could act as a tailwind in the coming weeks. Each of these Layer-2s is positioned to gain from Ethereum’s evolving infrastructure—if momentum returns, upside potential is on the table.

Arbitrum (ARB)With expanded blob space and more efficient data availability coming from the Ethereum Pectra upgrade, Arbitrum can reduce its L1 settlement fees and scale more efficiently.

At the same time, EIP-7702 introduces smart account functionality that enables gasless transactions, batching, and simplified onboarding, all of which enhance the experience for developers and end users building on Arbitrum.

ARB Price Analysis. Source: TradingView.Despite these long-term tailwinds, ARB is down over 6% in the past seven days. If the correction continues, price may fall to $0.292 — a key support level — and potentially dip further to $0.27.

However, if ARB regains momentum, the first resistance to watch is $0.315.

A break above that level could open the door for further upside toward $0.345 and, in a stronger bullish scenario, $0.363.

StarkNet (STRK)The Pectra upgrade introduces improvements in data availability and validator operations, which will benefit StarkNet in multiple ways.

Enhanced blob space directly supports cheaper and more scalable calldata posting — a major win for zk-rollups like StarkNet that rely heavily on L1 for data availability.

Additionally, EIP-7002 allows more flexible validator withdrawals, which supports future integrations of re-staking protocols and simplifies cross-chain liquidity movements.

STRK Price Analysis. Source: TradingView.STRK has fallen more than 13.5% in the past seven days, and its EMA lines indicate a downtrend. If this trend continues, the next key support level is around $0.116.

However, if STRK manages to reverse momentum, the first resistance to watch is $0.136. A break above that level could lead to further upside, with STRK potentially testing $0.15 and even $0.161 in a stronger bullish scenario.

Mantle (MNT)The Pectra upgrade brings improvements that could indirectly support Mantle’s modular architecture and staking design. With EIP-7251 raising the validator staking limit, large-scale staking operations become more efficient — a potential benefit for Mantle, which integrates restaked ETH into its ecosystem.

This change simplifies validator management and enhances the economic security of protocols that rely on Ethereum as a base layer.

Additionally, the expansion of blob space contributes to lower L1 data costs, supporting cheaper and more scalable interactions for Mantle’s modular rollups and Layer 2 applications.

MNT Price Analysis. Source: TradingView.MNT formed a death cross a few days ago and is currently down 2.6% over the past seven days, signaling ongoing bearish pressure. Its next key support sits at $0.68, and if that level fails to hold, price could decline further toward $0.652.

On the upside, if MNT reverses course, the first resistance to watch is $0.72.

A successful break above that could trigger a rally toward $0.759, and in a more extended bullish move, MNT may test $0.809.

Aevo (AEVO)Aevo, a high-performance derivatives platform built on Layer 2 infrastructure, stands to benefit from the Pectra upgrade through lower data availability costs and improved scalability.

The expansion of blob space introduced by Pectra reduces calldata fees for L2s, which is crucial for platforms like Aevo that rely on frequent state updates and high transaction throughput. This directly translates to cheaper and faster settlement for perpetuals and options.

Additionally, smart account functionality from EIP-7702 could enable features like gasless trading or streamlined account recovery, enhancing the trading experience and reducing friction for users interacting with Aevo’s contracts.

AEVO Price Analysis. Source: TradingView.AEVO is down nearly 12% over the last seven days, with its price struggling to stay above the $0.10 mark.

If this downtrend continues, the next support is at $0.096 — and a break below that could open the door to deeper declines toward $0.082 and even $0.0756.

On the flip side, if AEVO regains momentum and breaks above the $0.107 resistance, it could rally to test $0.115. A stronger bullish push could extend gains to the next target at $0.121.

Fuel Network (FUEL)Fuel Network, a modular execution layer focused on high throughput and developer flexibility, is well-positioned to benefit from Ethereum’s Pectra upgrade.

The expanded blob space introduced by Pectra significantly reduces the cost of posting data to Ethereum, which is crucial for Fuel’s rollup architecture. This allows Fuel to scale transaction volumes more efficiently while maintaining decentralization.

Additionally, smart account functionality from EIP-7702 aligns with Fuel’s goal of improving UX and developer tooling, enabling more advanced wallet interactions, gasless flows, and streamlined onboarding for users deploying dApps on Fuel’s stack.

FUEL Price Analysis. Source: TradingView.FUEL’s EMA lines remain bullish, with short-term averages still holding above long-term ones, indicating underlying strength. However, the token has struggled to break through the $0.012 resistance in recent days.

If that level is tested again and cleared, FUEL could rally toward $0.0129 and $0.014, with a strong uptrend potentially pushing it back to $0.0163.

On the downside, if momentum fades and FUEL breaks below the $0.010 support, the next targets are $0.0084 and $0.0077.

Ether.fi has pledged to provide $3 billion worth of ETH to ETHGas as validator liquidity over three years.

Ether.fi to Deploy $3B in ETH to ETHGas Validator Marketplace

Ether.fi has allocated $100 million to the Plume RWA vault to provide users with RWA yields.

Saga Layer-1 in Crisis as TVL Crashes 55% and Token Plunges 25%, Here’s Why

Coin PricesCrypto rebounds after Trump TACO’s on Tariffs! BitGo $2.1B IPO! Solana’s SKR token soars 250% FDV!

Crypto majors are green and rebounding after Trump pivoted on EU tariffs; BTC +2% at $89,900; ETH +2% at $2,995, SOL +2% at $130; XRP +3% to $1.94. CC (+15%), SKY (+11%) and SAND (+10%) led top movers. Crypto markets saw more than $1B in liquidations as Bitcoin rebounded sharply after President Trump signaled a retreat from proposed tariff measures. Vitalik Buterin proposed native DVT staking to strengthen Ethereum security and decentralization, signaling continued protocol-level experimentation. Bitgo announced its IPO at $18 per share, valuing it at ~$2B. The Senate Ag Committee confirmed that its version of the Clarity Act will move forward to markup next week despite lack of bipartisan support. Mortgage lender Newrez explored counting Bitcoin and Ethereum toward mortgage qualification, applying discounted valuations to account for crypto volatility. Hong Kong regulators moved to issue stablecoin licenses under a new framework that imposes strict compliance, reserve, and operational requirements. Russian courts ruled that cryptocurrencies qualify as property under law, setting a legal precedent for future criminal and civil cases. President Trump said he hopes to sign the crypto market structure bill soon, despite ongoing legislative roadblocks and disagreements over regulatory scope. Saga’s EVM blockchain halted operations following a $7M hack, with stolen funds bridged to Ethereum. Steak ’n Shake rolled out a Bitcoin bonus program for hourly employees, allowing workers to earn a portion of compensation in BTC.

Interviews

Jan 22, 2026

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A recent report highlighted three major reasons Solana (SOL) has struggled to keep pace with Ethereum (ETH), at least from a market performance perspective that goes beyond day-to-day price movements. 

Market expert Dominic Basulto from The Motley Fool pointed to factors that, in his view, have shaped investor sentiment and affected Solana’s momentum in key areas.

The Meme Coin Hangover One of the most important drivers, Basulto said, is how many investors still associate Solana with the meme coin craze of 2024. During that period, Solana became the preferred destination for people minting and trading meme coins, and the conversation frequently included the idea of a “meme coin supercycle.” 

At its high point, the meme coin market was valued at around $150 billion. Today, Basulto said the segment is worth less than $40 billion, and many individual meme coins are still far below their 2024 highs. 

For some investors, according to the expert, the connection between Solana and that hype cycle never fully faded, which may have contributed to lingering hesitation toward the network.

A second explanation involves Solana’s attempt to build a mobile-first crypto ecosystem—and the belief that it never took off as its early ambitions suggested. 

Back in June 2022, Solana announced the launch of a mobile device called Saga, along with a broader mobile strategy. Basulto noted that the Saga was positioned as a breakthrough, but at a price of $999, it struggled to compete with mainstream smartphones. 

While Solana later introduced a cheaper alternative, the bigger idea of creating a mobile crypto environment did not seem to catch on with investors or consumers at the scale required to create a sustained advantage.

Solana ETF Momentum Falls Short The third reason Basulto raised centers on Solana exchange-traded funds (ETFs) and the expectation that they would draw in a meaningful wave of institutional interest. 

He noted that eight spot Solana ETFs are now trading in the US, but they have not achieved the momentum seen with spot Bitcoin (BTC) ETFs, which launched in January 2024. 

The rollout of spot Solana ETFs was widely viewed as a potential catalyst—something that could bring more institutional capital into the space. 

Instead, Basulto said Solana ETF momentum has remained limited. He estimated that total assets under management (AUM) for spot Solana ETFs are currently about $1.1 billion, which contrasts sharply with spot Bitcoin ETFs that reportedly pulled in $100 billion in less than 12 months.

Even so, Basulto’s overall conclusion was not pessimistic. He argued that Solana may still represent a stronger long-term investment compared with Ethereum, based on what he described as a visible shift in Solana’s direction. 

In his view, Solana is pivoting away from meme coins and moving toward stablecoins, while also strengthening its presence in decentralized finance (DeFi).

Basulto added that Solana remains faster and cheaper than Ethereum, and that these advantages could keep drawing developers and users toward Solana over time.

The 1D chart shows SOL’s consolidation below $90. Source: SOLUSDT on TradingView.com At the time of writing, SOL was trading at around $86, with losses recorded across all time frames, amounting to a 51% drop year-to-date (YTD). Meanwhile, ETH was trading just above $2,100, also recording losses across all time frames and a YTD drawdown of 20%. 

Featured image created with OpenArt, chart from TradingView.com 

Omni Network (OMNI) is listed on Upbit’s Korean Won market

Omni Network (OMNI) continues to ride a powerful bullish wave one week after its debut on South Korea’s top exchange, Upbit.

As of now, the token trades at approximately $5, marking a 276% surge over the past 30 days, with the listing acting as a major catalyst in drawing global investor attention.

Launched to tackle fragmentation in Ethereum’s growing rollup ecosystem, Omni Network is fast becoming a favorite among both retail and institutional investors. The network’s promise of seamless interoperability between Ethereum rollups, powered by OMNI as a universal gas token, has boosted its bullish momentum.

Why OMNI Is Outperforming the Market OMNI’s remarkable ascent began with its July 29 listing on Upbit. Within hours, the token surged from $2.50 to over $7.80, before stabilizing around $5. High trading volumes exceeding $580 million supported the magnitude of investor demand.

Technical indicators remain bullish. The MACD line continues to trend above the signal line, while RSI levels, though overbought, suggest sustained momentum.

Analysts view $4.36 as a crucial support level, with $5.98 and $6.94 serving as key resistance points. A breakout above these could pave the way to $10 and beyond in the coming months.

Beyond speculative interest, the token’s utility adds long-term value. Its dual staking model, which includes both the token and restaked ETH, combined with its universal gas marketplace, makes it a foundational infrastructure layer in Ethereum’s modular future.

OMNI's price trends to the upside on low timeframes breaking out of a downtrend and hinting at further profits. Source: OMNIUSD on Tradingview  Outlook: Can This Crypto Keep the Momentum Going? Omni Network’s design aligns well with the Ethereum roadmap, and its market performance reflects strong confidence in its value proposition. With just over 10 million OMNI tokens currently in circulation, and most allocations under long-term vesting, supply remains constrained, adding to upward price pressure.

If adoption among Ethereum rollups continues and trading volumes hold, the token could hit $10–$30 within the next 12–24 months, according to mid-to-long-term forecasts.

For now, the Omni Network story is one of strong fundamentals, positive technicals, and a market narrative centered on blockchain support, place OMNI as one of 2025’s most promising Layer 1 tokens.

Cover image from ChatGPT, OMNIUSD chart from Tradingview

TLDR: Aave has restored WETH LTV ratios to pre-incident levels across all six affected V3 network deployments. Users can now borrow against WETH again, including through collateral and debt swap functions on Aave. The restoration covers Ethereum Core, Ethereum Prime, Arbitrum, Base, Mantle, and Linea networks. Aave founder Stani Kulechov confirmed the milestone, noting the phased rsETH recovery plan is progressing. Aave has completed a major step in its rsETH technical recovery plan by restoring WETH loan-to-value ratios across all affected networks.

The update allows users to borrow against WETH once again, including through collateral and debt swap functions.

The restoration covers Aave V3 deployments on Ethereum Core, Ethereum Prime, Arbitrum, Base, Mantle, and Linea. This move brings WETH back to normal operating conditions across the protocol’s key deployments.

WETH Borrowing Resumes Across Multiple Networks Aave’s restoration of WETH LTV ratios marks a clear turning point in the protocol’s recovery process. Users across six major networks can now access WETH borrowing functions without restrictions. The change directly affects those who rely on collateral and debt swap features within the Aave ecosystem.

Aave’s official account confirmed the update on X, stating that WETH LTVs on Aave V3 Ethereum Core, Ethereum Prime, Arbitrum, Base, Mantle, and Linea have returned to pre-incident values.

In accordance with the rsETH technical recovery plan, WETH LTVs on Aave V3 Ethereum Core, Ethereum Prime, Arbitrum, Base, Mantle, and Linea have been restored to their pre-incident values.

WETH now operates as normal across all affected V3 deployments.

— Aave (@aave) May 17, 2026

The post further noted that WETH now operates as normal across all affected V3 deployments. This confirmation provided users with clarity on the current status of the protocol.

The networks covered in this update serve a broad base of DeFi participants. Arbitrum, Base, Mantle, and Linea are among the most active Layer 2 ecosystems in the space. Restoring LTV ratios across all of them at once reflects a coordinated and structured recovery approach.

Aave Founder Confirms Recovery Milestone Aave founder Stani Kulechov addressed the community directly following the update. He confirmed that the next step in the rsETH technical recovery plan had been completed successfully. His statement reinforced confidence in the protocol’s ability to manage and resolve technical challenges.

Kulechov noted that users can now borrow against WETH on Aave, including through collateral and debt swaps. This brings back key functionality that had been restricted during the incident period. The restoration of these features is a practical benefit for active Aave users managing their positions.

The recovery plan itself reflects the structured way Aave approaches protocol-level incidents. Rather than rushing fixes, the team implemented phased steps to restore operations responsibly.

As each phase completes, users regain access to features in a controlled and transparent manner.

Aave has restored WETH loan-to-value ratios on Ethereum, Arbitrum, Base, Mantle, and Linea, re-enabling borrowing against the asset following a technical incident.

Aave has restored WETH loan-to-value (LTV) ratios across six blockchain networks, re-enabling users to borrow against WETH collateral and use debt swap functions. The update applies to Aave V3 deployments on Ethereum Core, Ethereum Prime, Arbitrum, Base, Mantle, and Linea. Aave founder Stani Kulechov described the restoration as the next phase of the protocol's rsETH technical recovery plan.

The LTV restoration represents a key milestone in Aave's response to a prior rsETH-related incident. By restoring WETH borrowing capacity, the protocol allows depositors to unlock liquidity against their ether-based collateral, a core DeFi function that had been restricted during the recovery period.

The rollout across multiple chains underscores the breadth of the incident's impact and the coordination required to restore full functionality. Aave's multi-chain deployment means the recovery plan touched assets and users across Ethereum mainnet and layer-2 networks including Arbitrum, Base, Mantle, and Linea.

Sources: Wu Blockchain on X

This article was produced with the help of AI flows.

Table of contents

Franklin Templeton’s USPX ETF is no longer confined to brokerage accounts and traditional exchanges. Through a new listing on Mantle, the asset manager’s exposure is now accessible as a tokenized representation on an Ethereum layer-2 network, as announced in the original report. The listing, executed via the xStocks platform under the ticker USPXx, marks one of the earliest instances of a major traditional ETF moving on-chain through an Ethereum L2 specifically positioned for institutional distribution.

Mantle has carved out a niche as a network that bridges traditional capital markets and on-chain liquidity, rather than competing as a general-purpose rollup. The decision to host a Franklin Templeton product reinforces that identity. For xStocks, which specializes in tokenized equities and funds, bringing a well-known issuer’s ETF onto Mantle is a proof point that regulated financial products can sit on public blockchain infrastructure without sacrificing compliance or investor familiarity. The move comes at a time when tokenization volumes are accelerating. Just weeks ago, the tokenization of real-world assets crossed $20 billion on-chain, with major institutions settling live transactions against tokenized Treasuries.

Why a Layer-2 Play Matters Ethereum mainnet remains the most secure and decentralized smart contract platform, but gas costs have long made frequent trading or small-position exposure to tokenized funds impractical. Layer-2 rollups like Mantle solve that by compressing transactions and settling batches on Ethereum, driving fees down while retaining the underlying security guarantees. That cost structure makes on-chain ETFs viable for a broader range of users, not just whales. Mantle’s approach is specifically tuned for institutional and distribution-layer use cases: the chain offers native yield on bridged assets and an ecosystem fund designed to bootstrap liquidity for high-quality RWA products.

The USPXx listing demonstrates that ETF issuers are no longer waiting for a perfect regulatory wrapper. Instead, they are working with crypto-native infrastructure to make existing fund exposure tradeable on-chain under existing frameworks. Franklin Templeton is not new to digital assets—the firm runs a spot Bitcoin ETF and has explored tokenized money market funds. Extending that strategy to an equity or blended ETF through an Ethereum L2 signals that institutional comfort with public blockchains is maturing rapidly.

What’s Still Unclear While the listing is a milestone, several uncertainties remain. Liquidity depth for tokenized ETF shares is still thin compared to centralized exchange and brokerage order books. The on-chain version of USPX may trade at a premium or discount to its net asset value if sufficient arbitrageurs do not step in early. Mantle and xStocks will need to demonstrate that market makers can support tight spreads, otherwise the product risks becoming a novelty rather than a liquid alternative.

Regulatory treatment of tokenized funds also sits in a gray zone. The USPXx token likely represents a beneficial ownership claim on the underlying ETF, structured to comply with securities laws in the jurisdictions where it is offered. How regulators view the secondary trading of that token on decentralized venues or through permissionless wallets is still being tested. Recent pushback from banking interests against crypto legislation, as seen in the Senate, underscores that the path for on-chain financial products is not settled.

For Mantle, the timing works in its favor. As TradFi asset managers search for scalable on-chain distribution, networks that can prove low-cost, secure, and institutionally friendly infrastructure are likely to capture early RWA flows. The USPXx listing is not just a product launch—it is a bet that the next wave of ETF distribution will run through Ethereum rollups, not just traditional platforms.

AUTHOR

Max delves deep into the cryptocurrency realm, with a passion for altcoins and NFTs. Convinced of crypto's transformative potential, he envisions a decentralized financial future. Max's background in the financial sector grants him unique insights into global monetary systems. In his leisure, Max embraces the thrill of adventures and is an avid sports enthusiast, finding balance and rejuvenation away from work.

PANews reported on June 10 that OSL Global, the global trading platform under the OSL Group, announced the official launch of trading pairs for Ethena USDe (USDe) today. Users can now trade USDe/USD, USDe/USDT, and USDe/USDGO through over-the-counter (OTC) transactions, and deposits and withdrawals on the Ethereum network are now open.

USDe is a decentralized, crypto-native synthetic US dollar asset. Instead of relying on traditional fiat currency or bank deposits for value backing, this asset maintains a 1:1 peg to the US dollar through a "Delta-neutral" mechanism.

Crypto Hopefuls Watch As Trump Weighs 250 Pardons for America’s 250th Birthday

With a 4% loss, Notcoin is hovering around the $0.0021 range. NOT’s CMF value indicates that money is flowing out of the asset. All the major assets are charted in red, eyeing the downside, with the crypto market losing momentum. The largest assets like Bitcoin (BTC) and Ethereum (ETH) have fallen to reclaim the recent lows in the morning hours. The bearish pressure has triggered the price action of the digital assets to retrace. 

Meanwhile, Notcoin (NOT) has slipped with a 4.21% loss in value following the bear power. NOT began trading the day at around $0.002277. Eventually, the wave of bears took the asset’s price down to a low range of $0.002118. 

The CMC data has shown that at press time, Notcoin trades within the $0.002166 mark, with the market cap reaching $215.42 million. Moreover, the daily trading volume of NOT is up by over 6.76%, likely touching the $32.43 million level.

The asset has recorded a brief spike in the last seven days. Notcoin’s weekly low was marked at around the $0.0019 range. With the bullish presence, the price has climbed toward $0.0023. Also, it has managed not to drop below the $0.0021 zone. 

Will Notcoin Recover Soon? With the bears gaining strength, the Notcoin price might fall to the $0.002161 support. An extended downside correction could trigger more losses, and the price would revisit the established low ranges between $0.002156 and $0.002150. If the bullish pressure rises, the asset’s price could ascend to the nearest resistance at the $0.002171 level. Sturdy bulls might likely take the Notcoin price toward $0.002176 and even higher. 

The asset’s Moving Average Convergence Divergence line slipping below the zero line points to the faded bullish trend. As the signal line is above zero, there is some residual positive momentum, but at a risk of turning neutral or bearish if the MACD of Notcoin dips further. In addition, the Chaikin Money Flow (CMF) indicator settled at -0.12 infers a mild selling pressure in the market. Notably, the money is flowing out of the asset.

Notcoin’s daily Relative Strength Index (RSI) value of 47.60 is neutral, leaning slightly toward the bearish side. Furthermore, the Bull Bear Power (BBP) reading of the asset found at -0.000113 is extremely close to zero, which suggests that the buyers and sellers are evenly matched, with no strong directional pressure present.

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PANews, June 18 — According to Cointelegraph, crypto platform Blockchain.com has added 173 tokenized stocks and ETFs through a partnership with Ondo Finance, expanding its catalog of tokenized traditional assets to over 430, covering Ethereum, Solana, and BNB Chain. The newly listed assets include private company stocks, active ETFs, Treasury products, and covered call strategies, along with new thematic baskets in areas such as AI infrastructure, energy, robotics, autonomous vehicles, and quantum computing. Blockchain.com stated that these assets are instantly available through Ondo’s routing and liquidity infrastructure.

Ondo Finance’s native token ONDO has sustained its bullish momentum after breaking through a key resistance zone. At press time, ONDO was trading at $0.3779, with its 24-hour trading volume reaching $131.42 million and market capitalization standing at $1.84 billion. A 2.59 percent price increase over the past day has put the prospect of a technical rebound back on investors’ radar.

The $0.43 level comes into focus on the technical chartAccording to crypto analyst Alpha Crypto Signal, ONDO successfully broke above an ascending triangle formation. This breakout signals growing buying power as prices climb above a crucial resistance level. Maintaining higher lows is also cited as further supporting the ongoing upward trend.

As Alpha Crypto Signal analyzed, ONDO’s price has broken out of the ascending triangle, and if this zone continues to act as support, the upward trend could strengthen.

What was once a resistance area now acting as support is considered a key indicator of a potential short-term shift in direction. If ONDO manages to hold above this region, $0.43 emerges as the next logical target. On the flip side, a drop back below the breakout zone could prompt a return to sideways movements.

A retest of the former resistance zone accompanied by a strong reaction would further confirm the bullish narrative. Such technical pullbacks are closely monitored to gauge whether a breakout is likely to be sustained.

Ondo expands its tokenized asset portfolioOn the project front, Ondo Finance announced that it has expanded its catalog of tokenized assets. The platform has added 173 new stocks and exchange traded funds (ETFs), pushing the total number of tokenized assets on its platform to over 430. Ondo Finance is known as a real world asset (RWA) project, aiming to bridge traditional financial products such as stocks and funds with blockchain infrastructure.

The new additions focus on thematic growth sectors including artificial intelligence, robotics, quantum computing, defense technologies, critical minerals, and energy infrastructure. This move signals increasing sector diversity within blockchain-based investment products.

Glossary: Tokenizing real world assets means creating a digital representation of traditional assets like stocks, funds, or bonds on the blockchain. An ETF is an exchange traded fund that tracks an index, sector, or asset group and can be bought or sold on exchanges.

The initiative is built on the Ethereum, Solana, and BNB Chain networks, showing that demand for tokenizing real-world assets is expanding across multiple blockchains. Ondo’s core objective is to make traditional market assets accessible and liquid for a wider audience by leveraging blockchain technology.

According to data from Ondo Finance, 173 new stocks and ETFs were added, lifting the total number of tokenized assets above 430.

IndicatorDataONDO price$0.377924 hour change2.59 percent increase24 hour volume$131.42 millionMarket capitalization$1.84 billionNew assets added173 stocks and ETFsTotal tokenized assets430+Market analysis and price forecasts in this article do not constitute definitive results. With the high volatility seen in crypto assets, technical levels and support or resistance zones can shift rapidly.

Disclaimer: The information contained in this article does not constitute investment advice. Investors should be aware that cryptocurrencies carry high volatility and therefore risk, and should conduct their own research.