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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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

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Recently, Ethereum’s development direction has once again become a topic of interest in the market. More and more people are discussing whether, in the future, blockchain necessarily needs to keep adding new features, or whether the underlying architecture should instead become simpler and more efficient.
For Ethereum today, the network already supports multiple ecosystems such as DeFi, NFTs, and Layer2. Functionality is becoming richer, but at the same time, the protocol itself is becoming more complex. Complex systems can provide more capabilities, but they also make development, maintenance, and upgrades more difficult.

#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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A +9.16% PNL looks impressive—but the chart tells a very different story. Here's what every leveraged trader should learn before chasing the next $DOGE rally.
$DOGE Long Squeeze: Breaking Down a 10X Perp Call That Played Out — and What Traders Can Learn From It
A trader on Binance Square (@Tradechovui8668) recently posted a bullish call on DOGEUSDT, entering a 10X leveraged perpetual long at 0.076789, targeting a 5–20% move. The position was eventually closed at an average price of 0.077492, locking in a +9.16% PNL (+2,417.97 USDT). On the surface, it looks like a clean win — but there's more worth unpacking here than the green number.
The Setup
Entry: 0.076789
Avg. Close: 0.077492
Leverage: 10X Perpetual
Result: +9.16% (on margin, not on DOGE's actual price move)
Close time: July 5, 2026, 04:04
It's important to separate the underlying asset move from the leveraged PNL. DOGE itself moved roughly 0.9% between entry and exit (from ~0.0768 to ~0.0775). The 10X leverage is what turned that modest move into a 9%+ return on margin. That distinction matters — the same trade with 2X leverage would have returned closer to 1.8%, and with no leverage, under 1%.
What the Chart Tells Us
The price path shows DOGE grinding higher in a choppy uptrend after entry, peaking well above the close price before pulling back. The trader closed near the tail end of that pullback — meaning a chunk of the run-up wasn't captured. This is a common pattern with leveraged spot-adjacent moves: the target range (5–20%) was hit and exceeded intraday, but the exit landed closer to the low end because leverage compresses the margin for error. A pullback that would be a rounding error unleveraged can trigger a stop-out or a nervous close on a 10X position.
The Bigger Picture: Why This Matters for Anyone Reading These Calls
Posts like this are common on social trading platforms, and they can be genuinely informative — but a few things are worth keeping in mind before treating any single "buy now" call as a blueprint:
Survivorship bias. You're seeing the trade that closed green. Influencers who post trade ideas typically don't headline the losing ones with the same enthusiasm.
Leverage cuts both ways. A 10X position that returns +9% on a 0.9% favorable move also means a 0.9% adverse move wipes out roughly the same percentage — and moves against you compound toward liquidation much faster than moves in your favor compound toward profit.
"Target 5–20%" is a wide, vague range. A target band that broad isn't really a thesis — it's a way to claim success whether the trade moves a little or a lot.
Timing exits under leverage is hard. Even in a winning trade, the chart shows the exit happened after the peak had already passed — a reminder that leveraged positions often get closed on fear or margin pressure rather than a pre-set plan.
Takeaway
This particular call worked out for the poster. But the real lesson isn't "DOGE was a good buy at 0.0768" — it's a reminder of how leverage transforms small, ordinary price moves into headline-grabbing percentage returns, and how that same mechanic can just as easily produce headline-grabbing losses. Anyone following social trading signals should look past the PNL screenshot and ask: what would this trade have looked like without leverage, and what was the actual risk taken to get there?
This article is for informational and educational purposes only and does not constitute financial advice. Perpetual futures and leveraged trading carry significant risk of loss. Always do your own research and consider your risk tolerance before trading.
$ELON
#ElonMuskTalks #doge⚡ #CryptoHacksHit207InH1WithLosses$972M #MonadTVLTops$447.9MSurpassingSui #Dogecoin‬⁩

DeFi has grown exponentially, with curated vaults now holding billions in assets. But there's a critical gap: risk limits, compliance rules, and security policies live in offchain, fragmented processes — not onchain where they actually need to be enforced.
Newton Protocol solves this. Think of it as Visa's authorization network for crypto — a decision happens before the money moves. Every transaction is checked against an active policy BEFORE settlement, and Newton returns a signed pass/fail attestation recorded permanently onchain.
Other tools tell you what happened after the fact. Newton records what it enforced before the transaction ever settled. That's the difference between reporting and enforcing — and it's exactly what institutional DeFi needs to scale.
Four Enforcement Domains, One Unified Layer
Newton's onchain enforcement layer spans four critical domains:
· Compliance — OFAC sanctions screening and regulatory alignment
· Identity — verification and eligibility checks
· Security — real-time threat blocking
· Risk — counterparty analysis, APY limits, leverage caps, and oracle health monitoring
$NEWT
#CryptoHacksHit207InH1WithLosses$972M #SouthAfricaReleasesDraftCryptoTaxGuide #BOKWarnsSingleStockLeveragedETFRisks #VitalikOutlinesLeanEthereumRoadmap #EthicalHackersFindAptosFlawRisking$70B

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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