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3 Token Unlocks to Watch in the Final Week of May 2026

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XPL Crypto Token Unlock in May

The crypto market will welcome tokens worth more than $655 million in the final week of May 2026. Three major projects, Huma Finance (HUMA), Plasma (XPL), and Sahara AI (SAHARA), will release previously restricted tokens into circulation.

Token unlocks are crucial events in the crypto market, influencing liquidity, price volatility, and overall investor sentiment. So, here’s a breakdown of what to watch.

1. Huma Finance (HUMA)

  • Unlock Date: May 26
  • Number of Tokens to be Unlocked: 458.75 million HUMA
  • Released Supply: 2.29 billion HUMA
  • Total supply: 10 billion HUMA

Huma Finance is a PayFi (Payment Finance) network. It enables global payment institutions to settle transactions 24/7 using stablecoins and on-chain liquidity.

On May 26, the protocol will unlock 458.75 million tokens. The tokens are worth $11.64 million and account for 20.04% of the released supply.

HUMA Crypto Token Unlock in May
HUMA Crypto Token Unlock in May. Source: Tokenomist

The team will split the released supply three ways. Investors will receive 171.67 million altcoins. Furthermore, the team and advisors will get 160.83 million HUMA. Finally, Huma Finance will allocate 126.25 million altcoins to the protocol treasury.

2. Plasma (XPL)

  • Unlock Date: May 25
  • Number of Tokens to be Unlocked: 88.89 million XPL 
  • Released Supply: 2.41 billion XPL
  • Total supply: 10 billion XPL

Plasma is a Layer 1 blockchain platform built to enhance the efficiency and scalability of stablecoin transactions. It enables zero-fee USDT transfers, supports custom gas tokens, enables confidential payments, and delivers the throughput required for global-scale adoption.

Plasma will release 88.89 million crypto tokens on May 25. The XPL stack is worth $7.24 million. Moreover, the tokens account for 3.69% of the released supply.

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XPL Crypto Token Unlock in May
XPL Crypto Token Unlock in May. Source: Tokenomist

The team will direct all of the 88.89 million XPL to the ecosystem and growth.

3. Sahara AI (SAHARA) 

  • Unlock Date: May 26
  • Number of Tokens to be Unlocked: 132.93 million SAHARA
  • Released Supply: 3.27 billion SAHARA
  • Total supply: 10 billion SAHARA

Sahara AI is a full-stack, AI-native blockchain platform built to democratize the development and monetization of artificial intelligence. The network combines data services, AI tools, and a marketplace into one ecosystem.

On May 26, Sahara AI will unlock 132.93 million SAHARA. The supply is worth $4.56 million. The tokens represent 4.06% of the released supply.

SAHARA Crypto Token Unlock in May
SAHARA Crypto Token Unlock in May. Source: Tokenomist

Sahara AI will direct 53.02 million tokens to ecosystem development. In addition, the team will allocate 48.67 million SAHARA to airdrops and 31.25 million tokens for community incentives.

In addition to these, other prominent unlocks that investors can look out for in the final week of May include Venom (VENOM), Sophon (SOPH), Sign (SIGN), and more.

The post 3 Token Unlocks to Watch in the Final Week of May 2026 appeared first on BeInCrypto.

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Quantum Computing and AI: The Growing Threat to Cryptocurrency Security

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Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

Key Takeaways

  • The convergence of artificial intelligence with quantum computing is shortening the timeline for potential threats to blockchain encryption systems.
  • Adversaries are employing “harvest now, decrypt later” tactics, collecting encrypted blockchain data today for future decryption when quantum technology matures.
  • The majority of blockchain platforms, from Bitcoin to Ethereum, depend on elliptic curve cryptography that quantum machines could eventually compromise.
  • Machine learning technologies serve dual purposes: attackers leverage them to discover vulnerabilities while defenders deploy them for security audits and verification processes.
  • Major blockchain ecosystems including NEAR, Ethereum, Solana, and additional networks are actively developing quantum-resistant migration roadmaps.

Security professionals and blockchain researchers are sounding alarms that machine learning advancements are propelling quantum computing capabilities forward at an unprecedented pace. This technological convergence is compelling cryptocurrency platforms to fundamentally reconsider their approach to safeguarding digital assets and sensitive information.

What once seemed like a distant hypothetical scenario—quantum computers posing genuine risks to blockchain infrastructure—now appears to be approaching faster than the industry anticipated, according to leading researchers.

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Understanding the Fundamental Risk

The overwhelming majority of cryptocurrency networks, notably Bitcoin and Ethereum, depend fundamentally on elliptic curve cryptography to maintain wallet security and transaction integrity. A quantum computer with adequate processing capability could potentially reverse-engineer private keys from their corresponding public keys, creating pathways for malicious actors to compromise and empty vulnerable cryptocurrency wallets.

According to Alex Pruden, CEO of Project Eleven—a firm specializing in quantum-resistant blockchain infrastructure—the landscape is transforming rapidly. “Between quantum and AI, we’re going to go into a world where security, you simply cannot count on the way you’ve always done things,” he said.

What was once purely academic speculation has evolved into a concrete concern. Security professionals now highlight a troubling tactic called “harvest now, decrypt later”—where well-resourced adversaries systematically capture encrypted information in the present, banking on future quantum computing breakthroughs to unlock it.

Illia Polosukhin, co-founder of NEAR Protocol and former AI researcher at Google, expressed stark concerns about the timeline. “Everything we’re putting on the internet, if you’re identifiable as a person of interest, you can assume will be decrypted in two years,” he said. “It’s most likely happening already.”

The Dual Role of Artificial Intelligence

Artificial intelligence isn’t merely hastening quantum threats—it’s actively being deployed in current-day offensive and defensive cybersecurity operations across the cryptocurrency landscape.

From an attack perspective, AI models are demonstrating increasing sophistication in identifying security weaknesses within software systems. Pruden anticipates that machine learning will dramatically increase the frequency of successful exploits within the industry, as these systems grow more adept at discovering cryptographic implementation flaws and potentially compromising weaker security protocols entirely.

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Conversely, blockchain developers are harnessing artificial intelligence for protective purposes, including automated code reviews, formal verification processes, and comprehensive testing of quantum-resistant cryptographic systems. These methodologies can identify and neutralize security vulnerabilities before malicious actors can exploit them.

Polosukhin, whose AI research work at Google dates back to 2016, emphasizes the accelerating nature of machine learning breakthroughs. “The rate of research is going to accelerate from here, and we have already seen progress that people didn’t expect would come this early,” he said.

He further highlighted a concerning cyclical pattern: artificial intelligence facilitating the development of more sophisticated quantum computers, which could subsequently enable the creation of even more advanced AI architectures.

How Blockchain Platforms Are Responding

Numerous cryptocurrency projects have moved beyond planning stages and are actively implementing countermeasures. NEAR Protocol recently unveiled initiatives to embed post-quantum cryptographic standards directly into its account architecture. This architectural decision would enable users to upgrade their cryptographic protections seamlessly without requiring asset migration to entirely new wallet addresses.

Polosukhin revealed this was an intentional design consideration from inception. “Back in 2018, when we were designing NEAR, we were like: hey, quantum will come, we should have an easy way to do it,” he said.

Ethereum, Zcash, Solana, and Ripple are similarly engaged in researching and deploying their respective post-quantum security frameworks.

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The migration pathway presents significant technical challenges. Existing post-quantum cryptographic standards generally require substantially more data storage and computational resources. “The cryptography that’s currently standardized for post-quantum is very big and slow,” Polosukhin said.

Pruden articulated the paradigm shift facing the industry: cryptographic security can no longer operate on decade-long update cycles. Instead, it demands continuous monitoring, assessment, and evolution.

“Nothing is going to be as static as it’s been in the future,” he said.

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AI Agent Economy Sees $73M Settled Through Stablecoin Payments

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AI Agent Economy Sees $73M Settled Through Stablecoin Payments

Artificial intelligence agents settling payments have gone from concept to reality in the last 12 months, with $73 million settled across 176 million transactions from May last year through April 2026, according to crypto investment firm Keyrock.

In a report released Thursday, written in collaboration with crypto exchange Coinbase and the blockchain Tempo, Keyrock researcher Ben Harvey said that “in the past 12 months, machine-to-machine payments have gone from concept to a developed ecosystem.”

“Agents have settled over $73 million across 176 million transactions, and incumbents have deployed more than $8 billion in acquisitions to secure their position in what is emerging as an entirely new payment stack,” Harvey added.

Source: Keyrock

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AI agents are becoming increasingly popular among crypto users. Some crypto executives have speculated that AI agents settling transactions could drive adoption and transaction volumes, with Circle CEO Jeremy Allaire predicting in January that billions of AI agents will operate with stablecoins on users’ behalf within five years.

Traditional payment rails too slow and expensive

By the end of the first quarter this year, there were more than 104,000 agents registered across 15 or more directories and registries, according to Harvey. The average transaction size was about 31 cents.

“That number tells you almost everything about why traditional payment rails can’t serve this market. A fixed processing fee of roughly 30 cents per transaction makes sub-dollar payments uneconomical. An agent paying three cents for a weather API call can’t route through Visa,” Harvey said.

“Stablecoins won the settlement layer for machine commerce almost by default; they were the only instrument that could handle sub-dollar transactions without the economics collapsing.” 

Related: Exodus launches AI agent-focused stablecoin on Solana  

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AI agents are also used to build Web3 applications, launch tokens and interact with services and protocols autonomously, with some platforms exploring AI for trading. Last April, a CoinGecko survey of 2,632 crypto users found that most are comfortable with AI trading on their behalf; 87% said they would let AI agents manage at least 10% of their crypto portfolio.

USDC the leading settlement option

More than 98% of settlements by AI agents were in Circle’s USDC (USDC), according to Harvey, who said this serves as both a “validation and a vulnerability” because the entire ecosystem depends on one company, carrying significant risks.

“This is a lot of dependence on a single stablecoin issuer’s reserve management, regulatory standing, and technical infrastructure. If Circle faces a regulatory challenge, a de-peg event, or even sustained downtime, the agent economy has no fallback,” he added.

“This is a systemic risk that nobody in the space is publicly discussing, and one we believe warrants serious attention as volumes scale.”

Magazine: Crypto scammers face death, Aussie CGT makes Asian hubs attractive 

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‘Clock Is Ticking,’ ECB Warns Banks Over Mythos and AI Cyber Risks

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‘Clock Is Ticking,’ ECB Warns Banks Over Mythos and AI Cyber Risks

The European Central Bank has summoned banks to a Tuesday session over cybersecurity risks posed by Anthropic’s Claude Mythos and other advanced AI models.

Frank Elderson, vice-chair of the ECB’s supervisory board, said the regulator wants banks to accelerate the rollout of software patches to address vulnerabilities.

Why Advanced AI Models Have Banks on Edge

Anthropic released the Claude Mythos Preview in April under Project Glasswing, a restricted program. Recent evaluations show the scale of what Mythos uncovers. 

The UK’s AI Security Institute (AISI) found Mythos Preview cleared 73% of expert-level Capture the Flag (CTF) challenges. No AI model could pass that benchmark before April 2025.

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Mozilla shipped Firefox 150 with 271 patches for vulnerabilities found by the model, far above prior Opus 4.6 results.

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Elderson said banks must accelerate patch deployment because attackers can now reverse-engineer fixes within 30 minutes. He warned that ‘andante’ tempo is no longer enough.

“There is a whole range of issues on cyber security that we have been engaging on with the banks for years, which are all still valid, but given the progress in AI, they need to be dealt with faster,” he told FT. “In musical terms, I would say andante may have been good enough, but we need to go to presto.”

The ECB supervises 111 of the largest banks in the Eurozone. Most European lenders sit outside Project Glasswing and lack direct access to frontier models like Mythos.

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Elderson wants US institutions attending Tuesday’s meeting to share testing insights with their Eurozone counterparts. He called the access gap ‘unfortunate’ but said it cannot justify inaction.

Whether finance can patch as quickly as frontier AI surfaces new exploits may determine how institutions protect client funds in the near future.

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The post ‘Clock Is Ticking,’ ECB Warns Banks Over Mythos and AI Cyber Risks appeared first on BeInCrypto.

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Netflix 2026: Reversal on the Deal, Pullback on Earnings

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Netflix 2026: Reversal on the Deal, Pullback on Earnings

Fundamental Background

At the end of February, Netflix withdrew from the bid for Warner Bros. Discovery assets after WBD’s board deemed Paramount Skydance’s $31-per-share offer more attractive. Netflix chose not to raise its own bid of $27.75 per share and received compensation of $2.8 billion. The market reacted positively to the company’s exit from the months-long M&A battle, as the threat of adding more than $40 billion in debt to the balance sheet was removed.

The second key event was the company’s Q1 2026 earnings report, released on 16 April. Revenue reached $12.25 billion (+16% year-on-year), while earnings per share came in at $1.23, exceeding consensus forecasts. However, guidance for Q2 fell short of analysts’ expectations for both revenue and EPS, while company founder Reed Hastings announced plans to step down from the board in June. Together, these factors triggered a sharp negative market reaction in April.

Technical Picture

The long-term downtrend in Netflix shares began in July 2025, when the stock was trading near historic highs around $134. The period from 13 November 2025 to 23 February 2026 marked the final phase of this trend, during which the price declined towards $75.

The gap on 27 February 2026 — a direct consequence of the company’s withdrawal from the WBD deal — broke the descending trendline and was accompanied by an abnormal surge in vertical trading volume. The subsequent rally pushed the stock towards $109, which may now act as a resistance zone on any renewed advance. The gap on 17 April reversed the move lower, also on elevated volume, returning the price to the range of the current volume profile.

At present, the shares are trading slightly above the lower boundary of the profile, while the Point of Control (POC) zone lies around $94.50–$96.00 and may serve as a reference point in the event of a recovery. The $85.00 area could become the nearest significant support below the profile. RSI with moving averages currently shows readings of 47 / 46 / 42 — all three lines remain below the 50 mark and have yet to form any impulsive structure.

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Key Takeaways

Netflix’s technical structure reflects two polar opposite events within the same year: the breakout of the long-term downtrend following a corporate event, and the subsequent correction after disappointing guidance. The stock’s next direction will largely depend on whether the market can hold above the lower boundary of the profile and how convincing the company’s operational progress proves to be in Q2.

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This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.

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Brian Armstrong says finance must move on-chain or fall behind

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Source: TradingView

Coinbase CEO Brian Armstrong said the financial system still needs eight key upgrades before crypto-based finance can reach wider use. 

Summary

  • Brian Armstrong said finance still needs eight upgrades across tokenization, stablecoins, AI, access, and regulation.
  • Coinbase has recently expanded stablecoin tools, AI payments, and on-chain infrastructure across several products.
  • Related reports show RWA tokenization and stablecoin payments remain key crypto growth areas in 2026.

His list covered RWA tokenization, 24/7 global trading, stablecoin payments, AI tools, self-custody wallets, easier capital formation, sound money, and better regulation.

Armstrong said the future system will become more global, more automated, and more on-chain. He wrote that the work is not complete until these systems serve more users, adding, “Jobs not done until we get these working for all.”

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RWA tokenization leads Coinbase CEO’s upgrade list

Armstrong placed tokenization of real-world assets at the top of his list. He said real estate, stocks, bonds, and funds can move on-chain to support faster settlement, wider distribution, and fractional ownership.

The comment comes as tokenization remains a leading crypto theme in 2026. Related reports said the tokenized RWA market grew 263% year over year in 2025 and about 30% in the first quarter of 2026.

Coinbase has also tied its public strategy to this shift. In its Q1 2026 earnings call, the company said stablecoins had passed $300 billion in market value, while tokenized real-world assets were expected to reach $16 trillion by 2030.

Stablecoins and AI payments gain ground

Armstrong also named next-generation payments as a needed upgrade. He pointed to near-instant, low-cost global transfers using stablecoins, including payments made by AI agents.

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That view matches Coinbase’s recent work around machine payments. Related coverage said Coinbase’s x402 protocol became native to Amazon Bedrock AgentCore, letting AI agents pay for services in USDC without human input. The report said transactions settle on Base in about 200 milliseconds.

Separate coverage said Coinbase launched Agentic.market, a marketplace where AI agents can find and buy services using USDC through x402. At launch, the system had settled about 165 million transactions across more than 480,000 agents.

Regulation and access remain central themes

Armstrong also called for innovation-friendly regulation. He said rules should move away from one-size-fits-all systems and toward risk-based models that support competition.

The point follows Coinbase’s support for the CLARITY Act. Related reports said Armstrong backed the bill before a Senate markup, after lawmakers adjusted language on stablecoin yield, DeFi, tokenized stocks, and the CFTC’s role in crypto markets.

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The Senate Banking Committee later advanced the CLARITY Act in a 15 to 9 vote. Related reports said Coinbase stock rose 8% after the vote, while the bill still needed a full Senate vote and reconciliation with the House version.

Meanwhile, Coinbase stock was trading at $184.99, down 4.43% over the past 24 hours, with the session range between $184.60 and $195.59, according to TradingView market data.

Source: TradingView
Source: TradingView

Coinbase expands stablecoin infrastructure

Armstrong also named expanded access as part of the financial upgrade. He pointed to open protocols, fewer middlemen, and self-custody wallets for users with smartphones.

Coinbase has moved in that direction through new stablecoin tools. Related coverage said Coinbase and Flipcash launched USDF, a Solana-based custom stablecoin fully backed by USDC. Coinbase said the product helps businesses issue branded stablecoins without building the full reserve and settlement system.

The broader message from Armstrong is clear: Coinbase sees future finance as faster, more open, and more automated. His post links tokenization, stablecoins, AI, and regulation into one roadmap for on-chain finance.

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Bitcoin ETFs Bleed $1.25B as Memory Chip ETF Becomes Wall Street’s New Obsession

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Last week saw heavy outflows in crypto-related exchange-traded funds, while a memory chip ETF became one of the fastest-growing funds in history.

Bitcoin’s price failed to chart notable gains in the interim and is up by 0.6%. Many altcoins saw similar price action, with a few exceptions, such as Hyperliquid’s HYPE, which soared by around 40%.

Crypto ETFs Face Heavy Redemptions as Investors Rotate Risk

From May 18 to May 22, spot Bitcoin ETFs saw a whopping $1.257 billion in net outflows, according to data from Farside Investors.

Screenshot 2026-05-25 090703
Source: Farside Investors

This signals a shift in investor appetite. At the same time, Ethereum-based ETFs also struggled, posting around $216 million in net outflows for the same period. The pullback suggests that investors are either taking profits, reducing risk exposure, or rotating capital into other sectors, which may be more appealing at the moment.

That said, not all crypto-associated exchange-traded funds suffered. Spot SOL ETFs attracted slightly over $15 million in net flows, while spot XRP ETFs brought in $22 million.

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HYPE funds saw even stronger demand, attracting $72.38 million in net inflows – a move that was largely reflected in the token’s price.

Fund flows show that while Bitcoin and Ethereum may have faced selling pressure, investors are still taking bets across the broader crypto market, focusing on select altcoins instead.

DRAM’s Record-Breaking Rise Suggests a New ETF Frenzy

The Memory ETF, which trades under the ticker DRAM, has officially become the fastest-growing exchange-traded fund in history. It launched on April 2 and managed to accumulate upwards of $6.5 billion in assets in just 27 trading sessions.

With this, it beat the previous record, held by the BlackRock IBIT Bitcoin ETF. It took 30 trading sessions to cross that level.

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DRAM has now surged by more than 84% since its launch and topped $10 billion in assets within 30 trading sessions. This has also made it one of the top 10 US ETFs by year-to-date inflows out of more than 5,000 listed funds.

The explosive rise in the DRAM ETF shows that investor excitement around memory chips is mounting. The product is now among the top 20 most traded ETFs by volume, showing that the memory chip and AI infrastructure trade is not just gaining attention – it is becoming one of the hottest momentum plays on Wall Street.

The post Bitcoin ETFs Bleed $1.25B as Memory Chip ETF Becomes Wall Street’s New Obsession appeared first on CryptoPotato.

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Bitcoin Price Prediction: Half a Trillion Dollars on the Line, Says Glassnode

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Bitcoin price is still flying low below $80,000, holding a cautious prediction during its recovery stance, as fresh on-chain data from Glassnode puts a staggering figure on the table. $469 billion in BTC is theoretically exposed to quantum computing attacks.

The number is enough to rattle confidence, but the full picture is more nuanced. Glassnode’s latest research confirms BTC’s demand is not collapsing. The price floor, however, is not yet confirmed.

Published at the end of this week, Glassnode’s blockchain analysis identified 6.04 million BTC, or 30% of the entire circulating supply, already having their public cryptographic keys exposed on-chain. At current prices, this represents around $500 billion in potentially vulnerable holdings.

The exposure breaks into two categories: 1.92 million BTC in structural exposure (legacy pay-to-public-key outputs, early Satoshi-era coins, Taproot outputs) and 4.12 million BTC in operational exposure caused by address reuse.

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The mechanism of risk is Shor’s algorithm, or a quantum computing method that could, in theory, derive a private key from a known public key, making any coin with an exposed public key immediately targetable without requiring a new transaction.

Critically, many structurally exposed coins may be permanently immovable, which limits the real-world attack surface somewhat. But the operational exposure category of 4.12 million BTC is both large and, in principle, avoidable.

Discover: The Best Crypto to Diversify Your Portfolio

Bitcoin Price Prediction: Is Quantum The Reason Behind BTC Downtrend?

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At the current price, BTC sits in a compression zone between two well-defined technical boundaries. Near-term resistance is pegged at $78,000, with a clean break above that level needed to confirm momentum resumption.

Support is layered with its immediate defense at $74,000, and a higher-timeframe structural base at $80,000.

Bitcoin (BTC)
24h7d30d1yAll time

ETF inflows returning is the most important variable right now. Institutional flows drove this entire cycle’s upside; their return stabilizes spot demand at scale. On-chain analyst Willy Woo has said BTC is “currently attempting a bottom,” though he flagged the next three to six weeks as the decisive window.

This caution is warranted with Middle East tensions and U.S. macro data that remain live catalysts. Both metrics could invalidate any technical setup overnight.

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Discover: The Best Token Presales

Bitcoin Tests Critical Resistance as Hyper Continues Recording Presale Milestones

Bitcoin upside to its all-time high is real on paper, but it’s a huge move from current levels. It is also dependent on macro cooperation, ETF flows, and no quantum-narrative-driven panic.

For those who want Bitcoin ecosystem exposure without waiting on that entire journey, the infrastructure layer beneath Bitcoin is where leverage on the thesis actually lives.

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Bitcoin Hyper ($HYPER) is positioned squarely in that gap. It’s the first Bitcoin Layer 2 with Solana Virtual Machine (SVM) integration that delivers smart contract execution at speeds that exceed Solana, while settling on Bitcoin’s security layer.

The project has raised more than $32 million in its presale, with tokens currently priced at just $0.0136. A Decentralized Canonical Bridge handles BTC transfers natively, and staking is live with a high 36% APY for early participants.

The core use case is simple: Bitcoin is slow, expensive, and not programmable. Bitcoin Hyper targets all three limitations at once.

Research Bitcoin Hyper here.

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SEC delays tokenized stock exemption after exchanges raise ownership concerns

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Total RWA market value.

The U.S. Securities and Exchange Commission has reportedly delayed plans to introduce a proposed exemption for tokenized stock trading after exchanges and market participants raised concerns over investor protections and how blockchain-based ownership would function in practice.

Summary

  • SEC has reportedly delayed its tokenized stock exemption proposal after exchanges raised concerns over shareholder rights and ownership verification.
  • Hester Peirce said the proposed framework would likely support only issuer-backed digital versions of publicly traded equities.
  • Crypto executives, including Securitize CEO Carlos Domingo, backed the delay and warned against rushing tokenized stock rules.

According to a Bloomberg report published Friday, SEC staff had already reviewed a draft framework tied to the agency’s proposed “innovation exemption,” which was expected to be released earlier this week before discussions slowed.

People familiar with the matter told Bloomberg that feedback from stock exchange officials and other market participants centered on whether tokenized equities could preserve the same legal and economic rights attached to traditional shares. 

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Questions were also raised over how ownership records would be verified on semi-pseudonymous blockchains and whether unauthorized firms could issue stock-linked tokens without approval from the underlying public companies.

Under the proposal reviewed by the SEC, platforms offering tokenized equities would need to ensure investors retain rights typically associated with common stock, including dividend access and shareholder voting privileges.

Earlier in the week, SEC Commissioner Hester Peirce had already signaled

 that any exemption under consideration would likely remain narrow in scope. 

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In comments posted to X on Thursday, Peirce said she expected the framework to support only “digital representations” of equity securities that already trade in public secondary markets.

SEC discussions narrow focus to issuer-backed equities

At the same time, the latest delay has drawn support from several crypto industry executives who argued that the SEC should avoid rushing a framework for tokenized securities.

Carlos Domingo, the CEO of tokenization platform Securitize, wrote on X that regulators should ensure the exemption “applies to the right instruments,” adding that delaying the proposal would be preferable to introducing rules that create operational or legal problems.

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Separately, Tom Farley, the CEO of crypto exchange Bullish, said on X that the SEC appeared to be recognizing that only public companies themselves should be permitted to issue blockchain-based versions of their shares.

Behind the discussions, the SEC has continued drawing a distinction between different forms of tokenized securities. In guidance released in January, the agency classified such products into “custodial” and “synthetic” categories.

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Custodial tokenized securities are issuer-backed shares held through regulated intermediaries and provide investors with shareholder rights tied to the underlying stock. Synthetic tokenized securities, by contrast, only offer price exposure to equities without transferring ownership of the underlying shares.

Growing interest in tokenization from Wall Street firms and crypto companies has coincided with the SEC taking a more crypto-friendly stance under the Trump administration. Data from RWA.xyz shows that tokenized real-world assets have reached roughly $34 billion, including about $1.55 billion tied to tokenized equities.

Total RWA market value.

Total RWA market value. Source: RWA.xyz

Despite that growth, adoption has remained below earlier industry projections. According to a McKinsey & Company report published in 2024 tokenization could grow into a multi-trillion-dollar market by the end of the decade.

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Bitcoin options are coming to Nadaq. Here’s what it means for you.

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Bitcoin options are coming to Nadaq. Here's what it means for you.

Nasdaq has moved closer to offering cash-settled bitcoin index options, a move set to democratize crypto risk management and eliminate legacy operational barriers.

Last week, the U.S. Securities and Exchange Commission granted Nasdaq PHLX conditional approval to list European-style options under the ticker QBTC. These will be cash-settled, European-style options tracking the CME CF Bitcoin Real Time Index (BRTT).

Cash-settled means the options are settled in U.S. dollars. At expiration, the exchange credits or debits the cash difference between the strike price and the final index value and no actual bitcoin is delivered or received.

For the average market participant, the new product, still pending approval from the Commodity Futures Trading Commission (CFTC), removes operational friction. QBTC options will trade on the same Nasdaq platform as popular technology stocks, allowing participants to execute hedging strategies and bitcoin volatility bets directly through their existing brokerage accounts without needing a separate futures or derivatives account.

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By contrast, CME’s bitcoin options, which have been available since 2020, are also cash-settled but track Bitcoin futures rather than the spot index. They also require a dedicated derivatives account, adding operational complexity.

The story doesn’t end there.

Each Nasdaq QBTC option contract delivers exposure equivalent to exactly 1 BTC, using a 1/100th index scaling factor with a standard $100 multiplier. By comparison, the CME’s standard Bitcoin option is sized at 5 BTC, often representing hundreds of thousands of dollars in notional exposure.

This much smaller contract size opens the door for precise hedging by smaller institutional managers and more affordable volatility trading for retail participants.

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Options are derivative contracts that give the purchaser the right to buy or sell the underlying asset at a predetermined price on a later date. A call option gives the right to buy and represents a bullish bet, while a put offers protection against price slides.

Think of it like paying a small non-refundable deposit to lock in the right to buy/sell a house at today’s price anytime over the next few months. If property prices rise/fall, you can still purchase/sell at the pre-agreed price and benefit from the gain. If you change your mind, you simply walk away, losing only the initial deposit.

Crypto options, led by bitcoin contracts, have seen explosive growth in recent years, as institutionalization of the market triggered demand for sophisticated risk management and yield-enhancing strategies.

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Huawei unveils new smartphone chips this fall as rivalry with Nvidia and Apple heats up

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Huawei unveils new smartphone chips this fall as rivalry with Nvidia and Apple heats up

Tingbo He, president of Huawei semiconductor, presents at an industry conference in Shanghai on May 25, 2026.

Huawei

SHANGHAI — Chinese tech giant Huawei on Monday touted a new approach to developing advanced semiconductors despite U.S. sanctions, as Nvidia struggles to sell its high-end chips in China.

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Huawei said it developed a new engineering approach called “LogicFolding” to manufacture its Kirin smartphone chips this fall.

That breakthrough comes as Nvidia faces U.S. export restrictions in China and Apple contends with renewed competition from Huawei in the world’s second-largest consumer economy.

Huawei’s Mate 60 smartphone, launched in 2023, included 5G connectivity powered by an advanced chip that helped the company regain market share from Apple.

While U.S. restrictions have kept Nvidia from selling its most advanced chips to China in recent years, Beijing has pushed to support homegrown technology instead. Last week, Nvidia CEO Jensen Huang told CNBC the U.S. chipmaker had “conceded” the Chinese market to Huawei.

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“For Nvidia, this means the window to sell advanced chips such as the H200 into China is narrowing,” said George Chen, partner and co-chair of digital practice at The Asia Group.

“This trajectory will likely heighten concerns in Washington, where Huawei remains emblematic of U.S. export restrictions,” he said.

Huawei said that by 2031, its new chip technology could deliver capabilities equivalent to 1.4-nanometer process technology — while global chip leader TSMC has begun volume production of 2-nanometer chips.

Nanometer processes refer to chip manufacturing technology, with smaller nodes typically enabling faster and more efficient semiconductors.

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​​​​Paul Triolo, head of technology, Asia and Americas, at DGA Group, was skeptical of Huawei’s 1.4-nanometer claim.

“A stacked/folded design can produce effective density gains, but it does not mean Huawei has solved the full process, yield, power, thermal, and device-performance problems associated with true 1.4 nm-class manufacturing,” he said.

Academic ambitions

Huawei is also seeking greater academic recognition for its semiconductor research. On Monday, the company described its findings as the “Law of Tau,” or “τ scaling,” and claimed it addresses challenges faced by the semiconductor industry.

Semiconductor development has, for decades, relied on “Moore’s Law,” an observation that the number of transistors would double roughly every two years — delivering more computing power while lowering costs. However, even Nvidia’s Huang has said Moore’s Law is no longer applicable to future chip development.

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“Huawei is turning an engineering strategy into a quasi-‘law,’” Triolo said.

The new principle “is more a systems-level optimization doctrine: shorten wires, stack logic, improve memory semantics, and co-design chips, packages, software, and clusters,” he said.

Still, challenges remain around heat management and manufacturing at scale, Triolo said.

Huawei’s new chip architecture expands the layout from one layer to two, significantly increasing power efficiency, according to Tingbo He, president of Huawei’s semiconductor business.

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This structure allows transistors to interact with each other at more points, He, who is also a director of the company’s scientist committee, said at the Institute of Electrical and Electronics Engineers’ International Symposium on Circuits and Systems.

However, she acknowledged that challenges remain, as Huawei is only just beginning a decade-long development path for the new technology.

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