cryptohackshit207inh1withlosses$972m

🚨 #CryptoHacksHit207InH1WithLosses$972M 🚨
A new report from blockchain forensic firm TRM Labs reveals that while the frequency of crypto hacks has reached an all-time high in the first half of 2026, the total amount of stolen funds has actually decreased significantly. Here is the breakdown of the
📉 The Numbers
Record Incidents: Attackers carried out 207 separate hacks in H1 2026, more than doubling the 83 incidents recorded during the same period last year.Total Losses Drop: Despite the surge in attacks, total losses reached $972 million, less than half of the $2.3 billion stolen in the first half of 2025.Q2 Surge: The second quarter alone set a new record with 123 incidents.Average Loss: The typical hack now results in approximately $219,000 in losses.
🔍 The Attack Vectors
Smart Contract Exploits: These accounted for the majority of incidents, making up 125 of the 207 total attacks. However, they represented only a small share of the total money stolen.Infrastructure Compromises: While infrastructure and operational compromises made up only about 15% of incidents, they drove roughly 76% of the total stolen value.
🇰🇵 The North Korea Factor
Major Thefts: North Korea-linked actors accounted for approximately $643 million, representing roughly 66% of all funds stolen in the first half.Concentrated Losses: Nearly all of that came from two massive April attacks: Drift Protocol lost about $285 million, and KelpDAO lost around $292 million.
The Takeaway: The expanding attack surface of DeFi protocols and smart contracts is driving a steady rise in the sheer number of hacks. However, the drop in overall financial losses reflects the absence of mega-hacks on the scale seen in 2025 rather than a reduction in overall risk.
#CryptoSecurity #BlockchainNews #KospiRises2.7%OnChipRally #TLM
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Michael Saylor has once again captured the crypto community's attention with a simple but powerful statement:
"Bitcoin is Digital Energy.
Although the post contains only a few words, many long-term Bitcoin supporters believe it reflects Saylor's continued confidence in $BTC despite recent market volatility.
This isn't the first time Saylor has used strong language to describe Bitcoin. Over the years, he has repeatedly referred to it as digital property, digital capital, and now digital energy. To many investors, these statements reinforce the idea that Bitcoin is more than just another cryptocurrency it's a long-term store of value.
The timing of this message is also interesting. Bitcoin is currently trading near an important technical zone, and sentiment across the market remains divided. Whenever influential figures like Michael Saylor publicly reaffirm their conviction, it often boosts market confidence, even if it doesn't immediately move the price.
However, it's important to separate market sentiment from trading signals. A bullish statement from a well-known Bitcoin advocate does not guarantee that the market will continue higher. Price action will still depend on liquidity, macroeconomic conditions, institutional demand, and overall investor sentiment.
That said, Saylor's consistent messaging reminds investors why many institutions continue to view Bitcoin as a strategic long-term asset rather than a short-term trade.
Whether "Bitcoin is Digital Energy" becomes another memorable quote or simply reinforces existing conviction, one thing is clear: Michael Saylor remains one of Bitcoin's strongest public supporters.
Do you think Saylor's latest statement strengthens long-term confidence in $BTC , or is price action still the only signal that matters?#CryptoHacksHit207InH1WithLosses$972M #SouthAfricaReleasesDraftCryptoTaxGuide #VitalikOutlinesLeanEthereumRoadmap #BOKWarnsSingleStockLeveragedETFRisks #BrazilCentralBankSaysStablecoinsElectronicMoney $TLM $VANRY

#kospirises2.7%onchiprally 🚨 🚨
South Korea's Kospi index experienced a powerful surge on Monday, fueled by momentum in the semiconductor sector. Here is the breakdown of the market action:
📈 The Market Action
The Surge: The Kospi jumped by 2.7% during Monday's trading session.Key Levels: The benchmark index briefly broke above the historic 8,300 mark before experiencing a pullback later in the session.Regional Contrast: Unlike the Kospi's big rally, Japan's Nikkei 225 didn't share the bullish momentum, trading lower on the day and hovering in the 69,000 range.
💻 The Catalysts
Chip Leadership: The massive rally was heavily driven by market heavyweights Samsung Electronics and SK Hynix.Earnings Anticipation: Investors pushed chip stocks higher ahead of closely watched upcoming Q2 earnings reports later this month.SK Hynix $28B US Listing: Adding major fundamental fuel to the fire, SK Hynix advanced plans for an historic, approximately $28 billion US listing aimed at aggressively expanding its capacity to meet booming global AI demand.
#KOSPI #stockmarketnews #SKHYNIX #CryptoHacksHit207InH1WithLosses$972M
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AI is becoming part of almost every crypto conversation, but one question keeps coming back to me. How do we know an AI agent is actually doing what we asked it to do?
That's one reason I started looking into Newton Protocol (NEWT). Instead of treating AI as something users should simply trust, the project focuses on making automated actions verifiable. I think that's a much bigger challenge than building another AI trading assistant.
Newton Protocol is developing a secure infrastructure where AI agents can execute on-chain actions using permissions set by users. The interesting part is how it combines Trusted Execution Environments (TEEs) with zero-knowledge proofs (ZKPs). TEEs provide a protected environment where computations can run securely, while ZKPs allow the network to verify that the correct rules were followed without revealing sensitive information. That combination could make AI-powered automation much safer for wallets, DeFi, and digital assets.
What I like is that Newton isn't limited to automated trading. The protocol is designed for developers building AI applications, institutions that need policy controls, and users who want to delegate blockchain tasks without giving unlimited access to their funds. Smart contracts normally can't understand off-chain information such as compliance checks or AI decision-making. Newton tries to bridge that gap through programmable policies that can be verified before transactions are executed.
The NEWT token also has a practical role inside the ecosystem. It is planned to secure the network through delegated proof-of-stake, pay transaction fees, manage permissions for AI agents, and participate in governance as the protocol matures. The documentation also states that the token has a fixed maximum supply of 1 billion NEWT with no planned inflation after launch, which makes its supply easier to understand.
One thing that caught my attention is Newton's focus on developers. The project aims to support an ecosystem where builders can create AI-powered applications instead of relying on one flagship product. If developers actually build useful tools, network activity could become much more important than short-term market excitement.
Of course, there are challenges. AI infrastructure has become one of the most competitive sectors in crypto. Newton isn't only competing with AI projects but also with automation platforms, Layer 2 networks, and blockchain security solutions. Strong technology alone doesn't guarantee adoption. Developers need to choose it, users need to trust it, and real applications need to generate consistent activity.
I also think investors should avoid focusing only on the AI narrative. The real questions are whether developers continue building, whether users adopt permission-based automation, and whether transaction volume grows over time. Those factors are likely to matter much more than social media hype or short-lived price moves.
If I were creating visuals for this article, I'd use Newton Protocol's official architecture diagrams, documentation screenshots, on-chain analytics dashboards, or a TradingView chart showing NEWT market activity. Those give readers useful context without exaggerating the project's progress.
For now, I'm watching Newton Protocol because it's trying to solve a trust problem instead of simply adding AI to crypto. If the team can attract developers, prove that its security model works in practice, and build an active ecosystem around verifiable AI agents, I'll have a much stronger reason to keep following NEWT in the months ahead.#Binance #CryptoHacksHit207InH1WithLosses$972M #BrazilCentralBankSaysStablecoinsElectronicMoney #BOKWarnsSingleStockLeveragedETFRisks #UKFCAPublishesCryptoRegFramework $TLM $VANRY $ALICE

There I am, focused like never before, drawing perfect Fibonacci retracements on the $BTC M15 chart, convinced I've cracked the market's code. I feel like a master of the universe. 🧘‍♂️
...And then, 5 minutes later, I realize I forgot to check the economic calendar and that a Fed announcement just crashed everything. 📉💥
The lesson of the day: Technical analysis is great, but it doesn't replace knowing the broader macro-economic context.
👇 How often do you find yourself feeling like a... "donkey" (like me in this photo) after a losing trade? Be honest! 😂
#cryptouniverseofficial #TradingMindset #CryptoHacksHit207InH1WithLosses$972M #LearnToTrade #BOKWarnsSingleStockLeveragedETFRisks

#CryptoHacksHit207InH1WithLosses$972M $TSLAB According to the weekly chart analysis, when $ESPORTS first started its trading journey, the initial four weekly candles closed in red, reflecting early selling pressure and market uncertainty.
Now, if we look at the most recent four weekly candles, we can observe a very similar pattern developing. These candles are also attempting to close in red, which could indicate that the market is completing another accumulation phase before a potential trend reversal.
Another important point is that the market has already swept the lower liquidity zone, suggesting that weak hands may have been shaken out. Historically, after liquidity is grabbed and selling pressure begins to weaken, the probability of a bullish move increases—provided buyers step in with sufficient volume.
Based on this price action and historical pattern, there is a possibility that the coming week could print a green weekly candle, signaling the beginning of a recovery. If momentum does not arrive immediately, then August could become the month where the next significant move begins, InshaAllah.

I’ve spent enough late nights staring at wallet screens, tweaking parameters for some half-baked automation idea, to know the quiet dread that comes with it. You want the system to run smoothly while you step away, but handing @NewtonProtocol over any real power always feels like tempting fate. That’s the tension Newton Protocol seems built to ease—not with grand declarations about revolutionizing finance, but through careful, practical scaffolding around AI agents and automated strategies.
The core idea is straightforward in concept, trickier in execution. Instead of giving an agent broad access to your funds, you define tight permissions that live on a specialized rollup—the Newton Keystore. These permissions are granular: certain actions under specific conditions, with clear limits on amounts, timing, or risk exposure. Revoking them should be simple when needed. The system blends trusted execution environments for running computations securely and zero-knowledge proofs to verify that everything stayed within bounds, all without exposing sensitive details. It’s less about blind trust and more about creating an auditable boundary.
Developers can publish models in an onchain registry—basically templates that spell out trigger-action logic. One might watch market conditions and rebalance a portfolio; another could handle recurring buys or shift assets toward better yields when opportunities arise. Users pick what fits, link it to their intent under the Keystore rules, and the network,#Newt backed by staked NEWT, helps coordinate execution. Operators running these agents put up collateral in the token, which creates real consequences if something slips. Validators secure the rollup through delegated staking. It forms a small economy where incentives align around reliable behavior rather than unchecked speed.
What I appreciate is how this grows from observed pain points. Crypto has scaled in volume, with enormous flows in stablecoins and tokenized assets, yet the everyday reality for many users remains fragmented and high-maintenance. Constant monitoring eats time. Existing shortcuts often involve risky bots or centralized services that have failed people before. Newton doesn’t pretend to eliminate market risks or poor strategy choices, but it tries to make delegation feel contained and checkable. That matters especially as AI tools get better at spotting patterns but still need human-defined guardrails.
The team at Magic Labs brings some relevant history here. They’ve focused on making Web3 access simpler for a while, onboarding a lot of users through better wallet experiences. Newton feels like an extension of that thinking—moving from easy entry to manageable ongoing participation. The associated foundation has pushed for transparent token distribution, with a fixed billion-token supply for NEWT and heavy emphasis on community allocations and vesting schedules that discourage short-termism. The token handles gas fees on the rollup, staking for security, collateral requirements, and future governance input. Nothing flashy, just functional roles.
Of course, it’s still infrastructure in progress. Cross-chain moves add complexity. Proof systems need to stay fast and affordable. Adoption will hinge on whether the models developers create prove genuinely useful and whether the permission interface feels natural rather than cumbersome. Early roadmaps talk about expanding multichain support and bringing in more independent validators, which could strengthen the decentralization story over time.
In the end, Newton doesn’t strike me as hype-driven. It reads like a response to genuine limitations many of us have bumped into: wanting automation without surrendering control entirely. In a space where stories swing between utopian visions and sobering failures, this kind of focused, permission-first approach feels refreshingly level-headed. It won’t transform every portfolio overnight, but if it helps more people confidently explore strategies beyond constant manual oversight, that alone would be a meaningful step forward. The real measure will be how it holds up as usage grows and edge cases emerge. For now, it’s one of the more thoughtful efforts I’ve seen at bridging human caution with machine capability.
#SpaceXToJoinNasdaq100OnJuly7 #SouthAfricaReleasesDraftCryptoTaxGuide #BOKWarnsSingleStockLeveragedETFRisks #CryptoHacksHit207InH1WithLosses$972M
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@NewtonProtocol Artificial intelligence is gradually moving beyond answering questions or generating content. It is beginning to perform tasks that involve decision-making, automation, and interaction with financial systems. As this transition continues, a new challenge emerges: how can autonomous software operate in environments where transparency, accountability, and security are essential? The answer is unlikely to come from AI alone. It requires infrastructure that ensures every action follows clear rules and can be independently verified.
For years, blockchain technology has focused on decentralization, security, and immutable records. At the same time, artificial intelligence has evolved toward greater autonomy and efficiency. Bringing these two technologies together creates exciting possibilities, but it also introduces new responsibilities. An AI agent capable of managing digital assets or interacting with decentralized applications should not simply be trusted because it is intelligent. Instead, its actions should be governed by verifiable permissions, predictable execution, and transparent records that anyone can inspect.
This is where infrastructure becomes more important than individual applications. While many discussions revolve around the latest AI models or decentralized finance platforms, the underlying systems that allow these technologies to work together safely often receive less attention. Yet these foundational layers are what determine whether advanced automation can scale without compromising trust or reliability.
One approach attracting attention is Newton Protocol, which focuses on creating an environment where AI-driven financial actions can operate under transparent and verifiable conditions. Rather than replacing human judgment, the goal is to establish clear frameworks that define what automated systems are allowed to do and how those actions can be validated on-chain. This shifts confidence away from assumptions and toward observable, cryptographic verification.
A notable aspect of this approach is its emphasis on accountability. Traditional financial platforms often rely on centralized oversight, while decentralized ecosystems expect users to manage their own security and understand increasingly complex tools. Newton Protocol attempts to bridge this gap by enabling execution that follows predefined rules, making automated interactions more transparent and easier to audit. This balance between automation and verification could become increasingly valuable as AI takes on more responsibilities.
Another important consideration is interoperability. #Newt Digital ecosystems continue to expand across multiple blockchains, decentralized applications, and financial services. Infrastructure that supports communication between these environments while maintaining consistent security standards can reduce unnecessary complexity for both developers and users. Instead of building isolated solutions, the focus shifts toward creating a connected foundation that supports innovation across the broader ecosystem.
The success of any infrastructure also depends on its ability to adapt. Technology changes rapidly, and long-term relevance requires flexibility. Protocols designed with modular architecture and open participation can evolve alongside developer needs, emerging standards, and new forms of digital interaction. Community contributions, continuous research, and practical implementation all play important roles in strengthening that foundation over time.
Equally important is the user experience.#Newt Most people do not adopt technology because of sophisticated architecture. They adopt it because it makes everyday activities simpler, safer, or more efficient. If advanced infrastructure remains invisible while consistently improving security, reducing unnecessary trust assumptions, and supporting seamless automation, it becomes far more valuable than technology that attracts attention but lacks practical impact.
The future of decentralized finance may involve thousands of intelligent software agents interacting with digital assets, applications, and services every second. If that future becomes reality, systems capable of verifying permissions, recording actions transparently, and enforcing predefined rules could become essential components of the digital economy rather than optional additions.
Ultimately, lasting innovation is rarely defined by complexity alone. It is defined by reliability, usefulness, and the confidence it creates among everyone who depends on it. By exploring infrastructure that combines artificial intelligence with verifiable blockchain execution, Newton Protocol contributes to a broader conversation about how autonomous technology can evolve responsibly. Whether this vision becomes mainstream will depend not only on technical excellence but also on its ability to solve real-world challenges in ways that are practical, trustworthy, and beneficial for developers, businesses, and everyday users alike.@NewtonProtocol #newt $NEWT
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#CryptoHacksHit207InH1WithLosses$972M

Brothers, when I read the technical documentation for Newton’s Mainnet Beta, my first reaction was: finally, someone isn’t just making things up about how AI will help you make money.
The clearest thing about this project is that it pulls the AI Agent back to a life-or-death issue. The on-chain world already has no shortage of automation—what’s missing is the authorization boundary. To put it plainly, what it’s doing with the authorization layer is putting a tight control on the Agent: permissions scope, operation records, and accountability mechanisms must be crystal clear. What does the on-chain world fear the most? It fears an AI going out of control and charging in randomly. Staying alive comes first. That’s far more pragmatic than those who only know how to pile on chat boxes.
On the data side, quick glance: total supply is $NEWT , i.e., 1 billion. The circulating market cap is roughly around 10 million USD. FDV is about 47 million. The 24-hour trading volume is a bit over 5 million. It’s not huge in size, but the lineage is fairly decent. Binance Alpha was listed first, and later it also entered HODLer Airdrops—so it has gotten into mainstream attention. But brothers, don’t get carried away yet. During the Mainnet Beta period, whether it can produce real authorization scenarios is the key to determining the next trajectory.
I tried their AI agent myself yesterday. The configuration page offers several strategies: arbitrage, trend tracking, grid trading, and dollar-cost averaging. In practice, you still need to manually set safety bhoundaries and trigger conditions, and you also need to stake NEWT as margin. It’s friendly enough for beginners, but not to the point of being mindless FOMO. Once they optimize for one-click configuration later, the experience should become much smoother.
My current take is that Newton isn’t telling the old, stale stories. It’s adding a security structure to bring AI Agents into on-chain economics. If this direction works, DeFi, payments, and identity verification can all connect. The project is still early don’t YOLO into it all at once. First, observe the real data from the mainnet Beta.
@NewtonProtocol $NEWT #Newt #SpaceXToJoinNasdaq100OnJuly7 #KospiRises2.7%OnChipRally #CryptoHacksHit207InH1WithLosses$972M $ATM

The market appears to have become more confident that the CLARITY Act will progress in the U.S. Senate. Prediction platform Polymarket shows that odds the bill’s passage have surged beyond 50%. The rise comes as lawmakers get close to revealing the next version of the bill on July 4 and submit it to public comment.CLARITY Act Approval Probability Grows
The increased likelihood comes after months of discussions with lawmakers, regulators and industry participants. Also, new comments by Senator Cynthia Lummis hint that the negotiations are in the last stages. Under this backdrop, the CLARITY Act approval odds soared to 53% onIn an interview with Fox Business’ Maria Bartiromo, Lummis showed how much effort has been put into crafting the legislation. “We’ve been negotiating on the CLARITY Act hardcore since last Labor Day,” she said. Lummis also described the process as “an arduous process.”
The senator said the lawmakers had put “thousands of hours” into working out this bill. It took into account the feedback from the banking industry and concerns raised during the debates of the GENIUS Act. Now, senators are working on the final public draft of the new text of the legislation, she added.
“We’re finally to the point where we’re going to put out a text over the July 4th and give people one last really thorough look at the bill,” Lummis said. She also confirmed, “And then we’re moving in July.” She even indicated that the CLARITY Act has a chance to be presented to the Senate.
In addition, the crypto market structure bill has made an important jump forward as the Major County Sheriffs of America (MCSA) has revised its stance to a neutral one on the decentralized finance (DeFi) clause of the CLARITY Act. After dropping to the lowest point earlier this week, odds of President Donald Trump signing the legislation into law this year have picked up again after the development.
##SpaceXToJoinNasdaq100OnJuly7 #CryptoHacksHit207InH1WithLosses$972M $XRP
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