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Bitcoin and Ethereum Climb While PawFury Targets 50x Returns – Don’t Miss Out!

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Popular meme coins like Dogecoin, Shiba Inu, and PEPE face notable price drops, while newcomer PawFury garners attention with a successful presale and promising future outlook. Amidst the volatility in the meme coin market, PawFury stands out as an innovative and community-focused investment option.

In the past weeks, holders of the top meme coins Dogecoin, Shiba Inu, and PEPE have experienced significant price declines. Dogecoin and Shiba Inu, established players in the meme coin market, along with the newer PEPE, have all seen losses exceeding 20%.

According to data from IntoTheBlock, Dogecoin dropped by 24% in the last seven days and 41.8% over 30 days. Shiba Inu lost 23.5% and 49% in the same periods. PEPE faced declines of 34.5% and 45.6%.

Profitability metrics indicate that 54.05% of Dogecoin addresses remain profitable, compared to 20.47% for Shiba Inu and 58% for PEPE. Current trading prices are $0.09535 for Dogecoin, $0.00001321 for Shiba Inu, and $0.000007991 for PEPE.

Amidst the turmoil among traditional meme coins, PawFury (PAW) emerges as a beacon of hope. With its successful presale raising $4.2 million and the current presale price at $0.01040, PawFury has already captured significant attention. Analysts predict that PawFury could reach $1 by the end of 2024, offering a potential 100x return. The excitement is further fueled by the upcoming listings on major exchanges. Once PawFury gets listed, the token will become more accessible to the broader masses, leading to a potential price increase.

PawFury’s blend of innovation and community engagement makes it a standout choice for investors looking to diversify and capitalize on new opportunities in the crypto market. Nonetheless, while PawFury seems promising, it is important to do your own research and understand the risks involved in cryptocurrency investments. To celebrate PawFury’s success, for a limited time, you can use the promo code BONUSGAIN10X to get a 10% extra bonus.

For further details on Pawfury, please visit:

Website: https://www.pawfury.com/

Twitter: https://x.com/Paw_Fury

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Crypto Currency

LAB Token Collapses 99% From All-Time High as ZachXBT Links Crash to Insider Selling

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LAB has become one of the most closely watched collapse stories in crypto this month — and not in a way that flatters the project. The token hit an all-time high of $27.30 in June 2026, briefly pushing its fully diluted valuation toward $14 billion. Today it’s trading around $0.32, down 98.8% from that peak, with a market cap of approximately $104 million and 24-hour volume of $175 million — a trading volume nearly double its market cap, reflecting the kind of chaotic, panic-driven activity that follows a catastrophic unwind.

The story of how LAB got here is one the broader crypto market needs to understand clearly.

What Happened on July 8

LAB plunged over 80% on July 8, falling from a market cap exceeding $5 billion to roughly $390 million by day’s end. The drop triggered forced liquidations on Binance’s futures market, erased billions in value in hours, and sent 24-hour trading volume surging 162% to nearly $317 million as holders scrambled to exit.

The team’s initial response was to attribute the crash to “significant selling pressure from large market participants” and “independent trading firms,” while stating the product roadmap remained unchanged. That explanation landed poorly — and on-chain evidence provided by blockchain investigator ZachXBT complicated it significantly.

ZachXBT had been tracking LAB since May 2026, when he first alleged that insiders control more than 95% of LAB’s circulating supply. His analysis described coordinated market-making activity on centralized exchanges including Binance, Bitget, and Gate.io that artificially supported the price — a structure he argued was always fragile once confidence wavered.

The July 12 Dump That Made It Worse

Just as the market was trying to assess the July 8 crash, a second major on-chain event arrived. ZachXBT identified an 18.4 million LAB token sale worth approximately $18.3 million executed over two days on the Aster decentralized exchange by a wallet cluster that had received tokens directly from the LAB team in April 2026 — routed through Bitget deposit addresses beforehand. The selling entity still held another 81.5 million LAB tokens at the time of the report, representing ongoing supply overhang with no clear resolution.

That second leg down — a 54% drop from $1.20 to $0.55 in a single day — brought the cumulative decline from the June all-time high to over 98%.

The Team’s Response and Why It Hasn’t Been Enough

On July 9, the LAB team burned 1% of total supply and described it as “the beginning of a broader initiative to strengthen LAB.” A 24% price bounce followed. The rebound didn’t hold — trading volume fell more than 40% during the recovery, a divergence that indicated the bounce was technically driven rather than reflecting genuine demand returning to the market.

On July 10, the team announced a permanent 1% token burn of total supply and expanded support to Robinhood Chain. The burn drew mixed reactions. Critics argued that 1% was too small relative to the scale of the collapse, and that symbolic gestures don’t address the underlying supply concentration problem ZachXBT had documented on-chain.

The July 14 unlock event, which began releasing approximately 27 million additional LAB tokens, arrived into this already damaged market structure — adding fresh supply at the worst possible moment for holders still hoping for a recovery.

What LAB Actually Builds

The product underneath the token turmoil is a multi-chain AI trading ecosystem — an all-in-one terminal enabling spot, limit, and perpetual trades across Solana, Ethereum, and BNB Chain, with a viral incentive layer where active traders earn LAB through referral and points-based rewards. The platform had genuine traction: LAB surged over 160% to 500% in early May 2026 on catalysts including a mobile app launch, with FDV briefly touching $6 billion. Robinhood Chain integration was announced as a product expansion even as the price was collapsing.

The product has real features. The token distribution does not. That’s the gap at the center of this story — and it’s the gap that ZachXBT’s on-chain work made impossible to ignore once the selling started.

The LAB situation reinforces a lesson that reappears consistently in crypto: supply concentration analysis isn’t optional due diligence. Tools like Arkham, Nansen, and BubbleMaps exist precisely to flag the kind of insider-heavy structures that precede these collapses. When 95% of a token sits in addresses linked to insiders and coordinated market makers, retail buyers entering on momentum are effectively providing exit liquidity regardless of how compelling the product narrative is.

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Crypto Currency

Canton (CC) Sits at $5.4B Market Cap as DTCC Treasury Tokenization Goes Live and $300M Raise Signals Long-Term Confidence

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Canton has built something that most blockchain projects spend years promising and never deliver: a live institutional network where some of the world’s largest financial institutions are actually settling real assets. As of today, CC is trading at $0.1395 with a market cap of $5.45 billion and a CoinMarketCap ranking of #17 — a position that places it among the top 20 digital assets globally and ahead of names like SUI and AVAX by market capitalization.

DTCC has selected Canton as one of two networks for a soft launch of its tokenization service in July 2026, involving tokenizing a subset of DTC-custodied U.S. Treasury securities, marking a shift from testing to production-grade trades. A full-scale rollout is expected in October 2026, with over 50 major institutions — including BlackRock and JPMorgan — expected to participate following SEC no-action relief granted in December 2025.

The Institutional Roster That No Other Chain Can Match

Canton’s partner list reads less like a crypto project’s partnership announcements and more like a roll call of global financial infrastructure. Major institutional partners include DTCC, J.P. Morgan, HSBC, Visa, and Franklin Templeton. Each has gone beyond signing MOUs: HSBC completed a tokenized deposit pilot on Canton in April 2026, demonstrating institutional deposit workflows on the network. Nomura, Mizuho, and the Japan Securities Clearing Corporation began trialing tokenized Japanese government bonds on Canton, aiming to test the efficacy of blockchain for 24/7 real-time collateral transactions.

Nasdaq has joined the Canton Network as a Super Validator — a move that provides a major credibility boost, given Canton’s design to support large-scale institutional settlement and regulated financial workflows. Moody’s has also launched a Token Integration Engine to bring credit analysis on-chain, starting with Canton — an integration that speaks to the breadth of what the network is being used for beyond simple asset transfers.

Digital Asset, the developer behind the Canton Network, is reportedly seeking to raise $300 million in new funding at approximately a $2 billion valuation, led by a16z crypto. That fundraise, if completed, would accelerate both development and ecosystem expansion at a moment when institutional demand for Canton’s rails is visibly accelerating.

A Token Model That’s Structurally Different

The CC token has no pre-mine, founder allocation, or VC distribution — every token enters circulation by being earned for network utility. Users pay fees denominated in fiat but settled in CC; all fees are burned. New CC is minted every 10 minutes and rewarded to Super Validators, validators, and application builders based on the activity they generate.

That burn-and-mint equilibrium model directly links token supply to real network usage — a design philosophy that’s the opposite of most crypto projects, where tokens are pre-allocated to insiders and distributed as incentives regardless of whether the network is used. More than 450 million CC tokens have been burned so far this year, introducing a deflationary dynamic that intensifies as network activity expands.

Daily on-chain asset movement has been exceeding $350 billion, a 25% increase from the prior quarter. That’s not a metric that fits the typical crypto project narrative — it’s a number that belongs in a discussion of clearing and settlement infrastructure.

The Price-Utility Disconnect That’s Frustrating Holders

Despite the institutional traction, Canton’s CEO has acknowledged flat price despite massive on-chain activity, emphasizing long-term value from real usage. CC has declined 1.5% over the past seven days and sits 32% below its all-time high of $0.1942 — a disconnect between network fundamentals and token price that has become the project’s defining tension for retail holders.

The explanation is structural. Canton solves a critical barrier for institutional blockchain adoption: how to coordinate multi-party financial workflows while maintaining strict privacy and compliance. The institutions using Canton for Treasury settlement aren’t buying CC for speculative purposes — they’re using it as a fee token within a regulated workflow. That creates genuine utility demand, but not the reflexive price-demand loop that drives most crypto rallies.

The DTCC full launch in October 2026 and the a16z-led funding round represent the two most significant near-term catalysts for closing that gap between what Canton’s network processes and what CC’s market cap reflects.

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Crypto Currency

Allora (ALLO) Surges 33% as Forge Arena and Kalshi Integration Turn AI Inference Into Live Market Infrastructure

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Allora has had one of the more convincing weeks in the AI-crypto space. ALLO’s price jumped 40% over a 24-hour period, with ALLO trading at $0.5168 with a 24-hour volume of $58 million, representing a 33% price increase in the last 24 hours and a 28.7% increase over the past seven days. The move has pushed ALLO to its all-time high territory, with the all-time high of $0.5375 reached on June 8, 2026.

What separates this rally from a standard AI narrative trade is the product news driving it. Two developments in particular have shifted how the market is valuing Allora’s infrastructure — and both involve real-world usage rather than roadmap promises.

Forge: The World’s First Arena for Predictive Intelligence

The momentum traces back to July 2, when Allora Network introduced Forge, describing it as the world’s first arena for predictive intelligence. The platform allows AI models to compete on live, real-world prediction tasks while earning continuous rewards as they improve. According to the announcement, Forge already powers inference for more than 140 partners across the Allora Network, with developers only needing to bring a model and a “predict() function” while the network manages the underlying infrastructure.

That last detail matters. Abstracting infrastructure complexity away from model developers lowers the barrier to participation significantly — a researcher or developer can contribute intelligence to the network without building the surrounding plumbing. More contributors mean more model diversity, which feeds directly into Allora’s core value proposition of collective intelligence outperforming any single model.

The Cobot trading tool launched in May 2026 was the earlier signal that Allora was moving toward applied products. The launch of Cobot, Allora’s first AI-powered trading tool on May 18, 2026, coincided with a major network upgrade aimed at scalability and security. The tool aggregates predictions from decentralized ML models. Forge extends that logic into a broader competitive arena — not just one trading tool, but a live marketplace where models continuously prove their predictive value.

Kalshi Integration: From Speculation to Active Infrastructure

Allora’s inferences now power real trades on a regulated platform — Kalshi — shifting from speculation to active infrastructure. Kalshi is a federally regulated prediction market in the United States, meaning Allora’s decentralized AI signals are now flowing into a compliance-grade trading environment. That’s a qualitatively different kind of integration than connecting to a DeFi protocol — it demonstrates that Allora’s inference quality meets the bar for deployment in a regulated financial context.

Quack AI also announced its Q402 agents will integrate Allora Network’s on-chain inference signals for assets like BTC and ETH, enabling automated, gasless portfolio rebalancing and payments within set policy bounds, directly connecting Allora’s predictive outputs to financial decisions.

The pattern across these integrations is consistent: Allora’s inference outputs are increasingly being used to make real decisions rather than simply demonstrate technical capability.

What ALLO Powers and the Supply Picture

The ALLO token has a fixed maximum supply of 1 billion. It is the lifeblood of the network with four core utilities: staking to secure the chain and earn rewards, payments for accessing AI inferences, governance for future protocol decisions, and incentives to reward model builders based on the accuracy and impact of their contributions.

With a circulating supply of 240 million ALLO, Allora is valued at a market cap of approximately $124 million. Only around 24% of total supply is currently in circulation — with 31.05% allocated to backers and 17.50% to core contributors, subject to vesting schedules. As these large, early-holder allocations unlock over the coming months and years, they introduce substantial potential selling pressure. Price resilience will depend heavily on whether new demand can outpace this incremental supply.

The AI-crypto sector saw funding jump 10x to $600 million, with ALLO surging 130% weekly amid a selective AI token rally — a macro tailwind that amplifies project-specific catalysts rather than creating them from scratch. The distinction matters: Allora’s rally has fundamental backing from live integrations, not purely narrative rotation.

For ALLO price, maintaining strength above $0.4988 could support additional upside. Failure to overcome key resistance levels could weaken bullish momentum and increase the risk of a pullback despite the improving AI-focused narrative.

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