A decentralized exchange swap worth $2.01 million ended in a steep loss for one trader after a liquidity router routed the trade through a thin market, enabling an Ethereum block builder to capture profits from a same-block arbitrage. According to GoPlus Security, the order effectively turned into a “backrun extraction” rather than a fair swap outcome—one that left the victim with only about $14,500 in the resulting tokens.

The episode highlights how maximal extractable value (MEV) activity and routing mechanics can combine to produce outsized losses when trades are executed through low-liquidity pools. It also underscores a practical lesson being shared in the community: users should review the transaction route before signing DEX actions, not just confirm the trade.

Key takeaways

• A $2.01 million ETH swap on a DEX resulted in a near-total value drop, landing at roughly $14,500 after execution via a low-liquidity pool.
• GoPlus Security described the event as same-block backrun extraction, not a conventional “sandwich” attack.
• Titan Builder was identified as the largest beneficiary, receiving about $1.8 million as a builder reward from the transaction.
• The victim’s route involved routing into an AVAIL/WETH pool that executed at around 120x the later sell price, enabling an imbalance to be monetized.
• Traders are being urged to verify swap routes before confirming, since clicking through without inspecting routing can lead to irreversible execution outcomes.

A swap that was rerouted into a low-liquidity trap

GoPlus Security said the trader swapped 1,126.44 ETH on Monday at 1:59 am UTC but received only 5,776 Lighter (LIT) tokens. The security firm framed the result as a “textbook case of same-block backrun extraction,” where the trade’s execution path created an exploitable price discrepancy within the same block.

In the assessment, this was not portrayed as a classic sandwich attack. Instead, the core mechanic was that a router directed the swap through a pool with insufficient depth, allowing another actor—working with block-building capabilities—to profit from the temporary mispricing and the order’s same-block lifecycle.

The incident was publicly discussed via on-chain analysis referenced in earlier community posts, including Lookonchain, and GoPlus’s commentary identifying the nature of the extraction.

How the route imbalance drove a ~99% loss

GoPlus Security’s breakdown points to the swap’s intermediate routing. The firm said the victim’s transaction routed roughly 1,117 ETH into a low-liquidity AVAIL/WETH pool on Uniswap v3. Once executed, the swap price was reportedly around 120 times higher than what the received AVAIL tokens could later be sold for.

That pricing mismatch becomes a leverage point when a trade is executed in a way that creates a temporary window for extraction. After the trader received nearly 6.67 million AVAIL tokens at an inflated price, the router involved—identified by GoPlus as “0x router”—reportedly sold a small amount of externally sourced AVAIL back into the same pool. The purpose, according to GoPlus, was to extract approximately 1,072 WETH before paying out 1,018 ETH, worth about $1.8 million, to Titan as a builder reward.

After these internal steps, the AVAIL was swapped for LIT tokens valued at roughly $14,200. That translated to a reported 99.3% loss for the trader, based on the amounts described in GoPlus Security’s analysis.

For users, the key takeaway is that the harm didn’t come from a smart contract “hack” in the typical sense. It came from execution conditions—specifically, routing into a pool where trade size relative to liquidity could severely distort outcomes, while MEV-aware infrastructure could monetize that distortion before the victim can unwind.

Why this is more than “just a bad swap”: MEV and routing mechanics

The episode fits a broader pattern in decentralized trading: as long as block builders can influence transaction ordering and routing can route through multiple liquidity venues, the same block can contain both the victim’s swap and the counter-trade needed to extract advantage from temporary imbalances.

The article’s framing also connects the event to ongoing concerns about MEV bots and liquidity routers atop a landscape that already faces risks from scams and exploits. While the details here are specific, the implication is general—traders may believe they are placing a straightforward order, but routing behavior and transaction ordering can turn the execution into a target.

From an investor or trader perspective, this means diligence has to extend beyond token and protocol selection. Execution parameters—including route, intermediary hops, and whether a swap is likely to interact with thin liquidity—can determine whether the trade results in the expected price or in an unfavorable extraction scenario.

Community warning: read the route before you click confirm

In response to incidents like this, crypto trader Ruslan Khairullin advised that traders should read the transaction route before signing the transaction. He described the event as what happens when someone “clicked confirm faster than you read the route,” calling it a “painful lesson” after the fact.

This kind of guidance is practical because it targets the behavioral failure mode: users often focus on the expected output shown by interfaces while ignoring what the route actually does under the hood. In low-liquidity conditions, the route’s intermediate steps can matter as much as—if not more than—the end pair.

Where the mechanics are especially risky is when routing can pull a large trade into a pool with limited depth, because the price impact can be severe enough to create an exploitable imbalance. If the resulting swap path lets MEV-capable actors profit within the same block, victims may not have a straightforward opportunity to recover at a reasonable price.

Titan Builder’s role and what to watch next

GoPlus Security identified Titan Builder as the biggest beneficiary, stating it received about $1.8 million from the transaction as a builder reward. Cointelegraph reported that it reached out to Titan but did not receive an immediate response. Separately, DefiLlama data shows Titan has made $112.6 million in revenue from block building services this year.

The firm’s profitability is not limited to this case. Cointelegraph noted that Titan’s biggest day this year came in March, when it extracted around $34 million in arbitrage profit from a MEV bot incident involving the CoW Protocol.

For market participants, the immediate question is not whether these mechanics exist—they do—but how often they are triggered by routing into low-liquidity pools and whether future tooling will make route inspection easier for ordinary users. The next developments to watch are whether DEX interfaces or aggregators tighten route transparency by default and whether users get better warnings when a trade path passes through thin liquidity that could be targeted by same-block extraction.

Solana has extended its July rally after record on-chain activity, tokenized stock issuance, and steady ETF inflows revived bullish sentiment.

According to data from crypto.news, Solana (SOL) extended its recovery this week, gaining roughly 11% over several sessions to trade around $81 after briefly reclaiming the $82 level. The rally accelerated as institutional adoption on the network continued to expand, led by Securitize tokenizing $295 million worth of New York Stock Exchange-listed common stock on Solana following its SPAC debut.

The development arrived alongside the launch of the Solana Foundation’s Governance Proposals framework, introducing formal on-chain validator voting and adding another utility milestone for the ecosystem.

Network activity has expanded at the same time. Solana processed more than one billion weekly non-vote transactions for the first time, while tokenized asset spot volume reached an all-time quarterly high of $5.77 billion, reinforcing the network’s growing role in real-world asset issuance.

Institutional demand also remained positive, with spot Solana ETFs recording approximately $5.75 million in net inflows even as several other crypto investment products experienced persistent capital outflows.

Technical structure has shifted back in favor of buyers

The daily chart shows Solana recovering from its June selloff after buyers defended the long-term support zone near $73, close to the 0.786 Fibonacci retracement level referenced by many traders during last month’s decline. Price has now reclaimed the previous breakdown area around $80.14 and is attempting to convert it into support while approaching horizontal resistance near $83.13.

Momentum indicators have improved alongside the rebound. The daily RSI has climbed above 62 after recovering from oversold conditions in June, while the Supertrend indicator has remained bullish with dynamic support near $69.6. A successful close above $83 could expose the next resistance around $90, whereas failure to hold above $80 may invite another test of the $75.4 support region.

Shorter-term charts also favor bulls. On the 4-hour timeframe, SOL continues trading above its 20-, 50-, 100- and 200-period moving averages, with the 20 SMA near $81.4 providing immediate dynamic support. The moving average alignment remains constructive even as price has entered a brief consolidation after last week’s sharp advance. The Aroon indicator still favors buyers, although the slight decline in Aroon Up suggests momentum has slowed while the market waits for another catalyst.

Derivatives positioning presents a similar picture. CoinGlass liquidation heatmaps show one of the largest nearby short liquidation clusters sitting around the $84 level. A decisive move through that zone could trigger forced short covering and accelerate upside toward the upper liquidity pocket near $87. On the downside, dense long liquidation levels have accumulated between $78 and $79, making that area an important support if profit-taking intensifies.

Analysts target triple-digit prices while key resistance remains intact

Market participants have also become more optimistic after Solana strengthened against Bitcoin. Commenting on the latest structure, analyst Michaël van de Poppe wrote that SOL “is still in an uptrend here,” adding that it has broken its year-long downtrend versus Bitcoin.

“I don’t think that we’ll stall, I do think that we’ll continue to see strength happening here,” he wrote, adding that he would buy lower levels if a deeper correction develops before concluding that “it’s a matter of time until $SOL regains the $100+ levels.”

Despite the improving technical backdrop, Solana remains roughly 74% below its all-time high near $293 and more than 40% lower year to date. Macro uncertainty surrounding future Federal Reserve policy, geopolitical risks, and relatively thin crypto spot liquidity continues to limit aggressive positioning. Until bulls establish sustained closes above the $90 and $100 resistance zones, the current recovery is likely to remain vulnerable to renewed selling pressure despite the network’s strengthening institutional fundamentals.

Yield Guild Games (YGG) has moved to shut down its crypto game publishing arm, YGG Play, while cutting 35 employees and redirecting resources toward AI-focused datasets. The restructuring comes as the company cites a prolonged downturn in crypto markets alongside a difficult environment for video game publishing.

In an update posted Monday, YGG said it is sunsetting the web-based publishing activities under YGG Play because it no longer expects consumer demand in crypto gaming or the broader Web3 publishing market to recover “sufficiently” in the near term. The company also attributed the shift to how a major market crash on Oct. 10 “fundamentally altered retail market psychology.”

Key takeaways

• Yield Guild Games is sunsetting YGG Play, ending its publishing website, web app experience, and community rewards support.
• The company will lay off 35 employees, pointing to weak crypto consumer conditions and an unsustainable publishing market.
• YGG says the restructure extends its operating runway to four years, citing $20.6 million in treasury funds as of the end of the first quarter.
• Instead of publishing games, YGG plans to build “AI data economy” pipelines using behavioral datasets generated by its global community through gameplay.

Sunsetting YGG Play amid market stress

According to YGG’s announcement, the decision is driven less by product performance and more by the economics of Web3 game publishing under current conditions. The company said YGG Play “cannot be commercially sustainable,” blaming both a continued crypto market slump and what it called a “similarly brutal” video game publishing landscape.

In a brief statement included with the update, YGG co-founder Gabby Dizon framed the move as a response to market realities. She said sunsetting YGG Play is a “market decision, not a product decision,” adding that she was “proud of what this team achieved under such tough conditions.”

As part of the shutdown, YGG said it will close the YGG Play website, discontinue its web app used to launch games, and end marketing support for third-party titles. That includes taking down specific games listed as browser-based offerings, while other Web3 versions are set to remain accessible.

What ends—and what stays live

YGG said it will remove LOL Land, a browser game described as a “game in the style of a board game,” and also take down the puzzle game Waifu Sweeper.

However, YGG indicated that Web3 versions of two other titles would continue as normal. Those are the baseball game GIGACHADBAT and the battle game Ragnarok Breaker. The company’s update suggests that it will focus on maintaining certain blockchain-based game experiences while stopping the publishing and support layer that sits behind YGG Play’s broader web infrastructure.

The company also said it would end marketing support for third-party games distributed through YGG Play, signaling that the restructure is not limited to internal game development but also affects the broader publishing and promotion function.

From publishing to AI training data pipelines

While sunsetting YGG Play, Yield Guild Games says it is pivoting toward “the AI data economy.” The company’s plan is to use its community to create datasets designed to help train AI systems.

YGG stated it will initially build a pipeline for gaming datasets and that its global community “can generate these behavioral datasets just by playing.” In other words, rather than monetizing publishing as a standalone activity, YGG is positioning gameplay behavior as a raw input for AI model training.

The company also argued that games create complex, real-time decision-making environments. In YGG’s framing, video game players continually make split-second choices, often involving “human irrationality and emergent behavior,” which it says AI networks could benefit from learning.

This shift reframes YGG’s role in the Web3 ecosystem: from distributing and promoting games to contributing structured behavioral information that can support AI development.

Runway extended, layoffs align with broader crypto job cuts

YGG said the sunsetting of YGG Play and the associated restructuring will extend its operating runway to four years. The company added that it held $20.6 million in treasury as of the end of the first quarter.

The layoffs at YGG are part of a wider wave of workforce reductions across the crypto sector. Data cited in the reporting shows that crypto companies have cut more than 5,000 jobs this year, with many employers citing difficult market conditions and a redirection of budgets toward artificial intelligence initiatives.

Examples highlighted include Block Inc.’s large February layoff round in which it cut 4,000 staff, roughly half its workforce at the time, according to earlier coverage from Cointelegraph. BitGo later laid off about 15% of staff (estimated at 90 people), while Robinhood reportedly reduced its workforce by 10%. Earlier in the year, Kraken said it cut 150 roles and Coinbase reduced 700 employees, with Gemini also cutting 200 employees in February and Crypto.com reducing about 180 staff the following month—again citing the role of AI in shaping staffing priorities.

For investors and builders, the pattern suggests companies are not only tightening costs, but also changing what they view as the most durable growth lever. In YGG’s case, that lever is shifting from Web3 entertainment publishing toward data production tied to AI training—an approach that may be less dependent on immediate consumer spending on new crypto game launches.

What remains to be seen is how YGG will translate community gameplay into usable datasets in practice, and whether its AI data direction can generate sustainable revenue or partnerships at scale. Readers should watch for details on the pipeline, how YGG measures dataset quality and value, and which of its current game experiences remain central to that data strategy as the YGG Play transition continues.

Institutional-focused crypto exchange operator EDX Markets has raised $76 million in a Series C funding round led by Japan’s SBI Holdings, the company announced Monday. The raise underlines sustained institutional demand for regulated market infrastructure even as broader venture activity in digital assets remains more subdued than it was during the 2021 boom.

EDX said it plans to use the proceeds to expand its spot trading, clearing, and settlement offerings, introduce new products, and increase its international presence. The exchange runs a US-based institutional spot venue and a Singapore-based perpetual futures platform designed for eligible non-US institutional clients.

Key takeaways

• EDX Markets secured $76 million in a Series C round led by SBI Holdings, supporting growth of its institutional spot, clearing, and settlement services.
• The company operates both a US institutional spot exchange and a Singapore perpetual futures venue, targeting different segments of global institutions.
• EDX’s funding momentum comes despite softer digital asset trading volumes and a still-cautious venture market versus 2021 levels.
• Backers already include major traditional finance names such as Citadel Securities, Fidelity Digital Assets, Virtu Financial, and Charles Schwab.
• Recent partnerships, including Ripple Prime integration, point to expanding access to EDX liquidity through institutional prime brokerage channels.

Why EDX’s Series C matters for institutions

Large funding rounds in crypto are often tightly linked to market participation and infrastructure needs. In EDX’s case, the focus is on the plumbing that institutional desks typically require—order execution, custody-adjacent operational workflows, and settlement and clearing processes—rather than consumer-facing products.

EDX’s latest round arrives during a period when crypto trading activity has cooled from its earlier highs and venture funding remains below the industry’s 2021 peak. Even so, the investment signal remains clear: capital continues to flow toward entities that can support institutional participation as regulation, market structure, and compliance practices evolve in the US.

EDX also emphasizes that it is expanding beyond a single offering. By pairing spot trading growth with clearing and settlement capability, the company is positioning itself as a more complete venue for institutions that need end-to-end execution and post-trade processing.

Building on existing investor support

EDX said the Series C follows previous investment from traditional financial firms, including Citadel Securities, Fidelity Digital Assets, Virtu Financial, and Charles Schwab. That roster is notable because it reflects ongoing interest from established market participants in crypto infrastructure, even when venture capital overall is less aggressive.

The company’s backers also highlight a broader shift in how institutions approach crypto. Instead of directly integrating into fragmented trading ecosystems, larger players often prefer venues designed around institutional workflows—liquidity access, operational readiness, and risk controls that can be more straightforward to integrate into existing systems.

Partnership-driven expansion and liquidity access

EDX has also expanded its institutional footprint over the past year through strategic integrations. In May, Ripple Prime integrated with EDX, enabling institutional clients to access EDX’s spot and perpetual futures liquidity via Ripple’s prime brokerage platform.

According to EDX’s announcement, the partnership also includes plans to support RLUSD as a settlement and collateral asset. The development matters because settlement and collateral treatment can be a decisive operational variable for institutions: it affects capital efficiency, transaction processing, and the overall complexity of moving value through market infrastructure.

EDX said it can process as much as $685 million in daily trading volume, suggesting that demand for institutional-grade execution venues remains intact even if overall market activity is less frenzied than in prior cycles.

For readers tracking institutional adoption, the key question is whether these integrations lead to sustained growth in client onboarding and deeper liquidity rather than only incremental access through partners. EDX’s strategy appears aimed at embedding itself into prime brokerage distribution pathways—an approach that can reduce friction for institutions that already rely on established counterparties for connectivity and compliance.

Institutional infrastructure still attracts capital

EDX’s Series C is part of a wider pattern: investors continue to fund companies building trading, payments, and settlement infrastructure despite a less bullish risk appetite than in 2021.

As one comparison point, Fortune reported that San Francisco-based Framework Ventures recently raised $400 million for a new fund targeting frontier technologies including blockchain networks and decentralized finance. Other infrastructure-adjacent funding also continued during the same general period referenced in the article, including:

• Fomo, a cross-chain trading-focused startup, raised $75 million at a $550 million valuation, according to Cointelegraph’s coverage.
• Trace Finance, which builds stablecoin-based cross-border payment and settlement infrastructure for businesses, raised $32 million to expand its platform, according to Cointelegraph’s coverage.

Taken together, these moves suggest that while crypto venture funding may be slower than the peak era, investors are still willing to place significant bets on infrastructure that can serve institutional requirements—especially where regulation and operational design reduce uncertainty for larger counterparties.

Looking ahead, investors should watch whether EDX’s expansion plans translate into measurable increases in new institutional clients, sustained trading volumes, and broader settlement/collateral support through partnerships like Ripple Prime. The funding itself is only one milestone; the next test is whether institutional demand continues to deepen enough to justify the scale-up of clearing, settlement, and product development.

AEREDIUM has joined the Lava Tokenization Sandbox with Lava Foundation and BHL to explore future infrastructure models for tokenized assets.

AEREDIUM, the blockchain infrastructure company building the security and settlement layer for tokenized assets, today announced that it has joined the Lava Tokenization Sandbox alongside Lava Foundation and Bretagne Holding Limited (BHL). Together, the companies will explore how future tokenized asset infrastructure may interact with both traditional and digital financial systems, using Alba Bay, a large-scale master-planned development in the Dominican Republic, as a real-world innovation framework through which future infrastructure models can be evaluated.

As real-world asset (RWA) tokenization accelerates, one challenge continues to slow institutional adoption: payments and settlement. Creating a token is relatively straightforward. Enabling investors to purchase tokenized assets using the currency and payment method they already hold, while allowing developers to receive secure, compliant settlement without managing fragmented digital asset treasuries, remains one of the industry’s biggest infrastructure gaps.

The collaborative sandbox initiative was designed to explore how these challenges may eventually be addressed through emerging infrastructure.

As part of the initiative, participants are exploring potential real-world applications using Alba Bay as one of several reference environments for evaluating future infrastructure models. Unlike conventional tokenization pilots, the sandbox is built around a real, capital-backed development, allowing participants to test tokenization, payments, and settlement under real-world conditions rather than in isolated blockchain environments.

Within the sandbox, AEREDIUM is testing payment-agnostic settlement infrastructure designed to simplify how tokenized real estate is purchased while removing operational complexity for developers.

Each partner contributes a distinct layer to the initiative.

Bretagne Holding Limited contributes development expertise and provides a real-world project framework through which future innovation models can be evaluated.

Lava Network provides the decentralized RPC and API infrastructure that powers blockchain connectivity without a single point of failure.

AEREDIUM provides payment and settlement infrastructure that allows future market participants to interact with tokenized asset infrastructure using a wide range of payment methods, including bank transfers, payment cards, stablecoins, or digital assets across multiple blockchain networks. Through atomic settlement, the platform converts the buyer’s payment into the asset the developer chooses to receive, delivering a single, secure, and auditable transaction across blockchain networks, banking systems, and enterprise platforms.

For developers, this removes one of the biggest operational barriers to adopting tokenized assets. Rather than managing fragmented treasuries across multiple chains and digital assets, developers receive clean settlement while maintaining a verifiable payment trail and reducing the operational and compliance complexity associated with accepting digital asset payments.

Beyond settlement, AEREDIUM’s infrastructure combines institutional-grade cryptographic security, proof-of-reserve verification, verifiable payment trails, and atomic settlement into a unified platform for tokenized assets. The company has filed three U.S. patent applications covering core components of its security architecture, including its patent-pending AERKey technology, and is developing TRUSTCORE, a post-quantum security framework designed to strengthen future digital asset infrastructure.

“We joined the sandbox to solve one of the biggest obstacles preventing tokenized assets from reaching institutional adoption: payments,” said Albert Dadon, Founder and CEO of AEREDIUM. “A buyer should be able to pay with any currency, on any rail, while the developer receives secure, auditable settlement in the asset they choose. Developers shouldn’t have to manage fragmented treasuries or carry the compliance burden that comes with accepting multiple digital assets. That’s exactly what we’re testing through this initiative.”

“At BHL, we believe emerging technologies will continue transforming how large-scale development projects are financed and accessed globally. Through this exploratory initiative, we are interested in understanding how future innovation may improve efficiency, transparency, and accessibility within the broader real estate ecosystem,” said Yossi Abadi, Partner and CEO at Bretagne Holding Limited.

“Tokenized assets are only as reliable as the infrastructure beneath them,” said Nimrod Knoller, Head of Foundation at Lava Foundation. “By combining decentralized infrastructure, settlement innovation, and real-world development perspectives, we are exploring what future institutional-grade digital asset infrastructure may look like.”

The partners believe the initiative represents the next phase of RWA adoption. While the first generation of tokenization focused on bringing assets onchain, the next will depend on infrastructure that makes tokenized assets as easy to buy, pay for, and settle as traditional financial products.

Through the Lava Tokenization Sandbox, led by Lava Foundation and BHL, AEREDIUM aims to demonstrate how payment-agnostic settlement can remove one of the final infrastructure barriers to institutional-scale adoption of real-world assets.

The partners believe the initiative shifts the RWA conversation from token issuance toward the infrastructure that real ownership actually needs: secure settlement, verifiable payments, and a buying experience that works with the money people already hold.

This initiative is exploratory in nature and is intended solely for evaluating potential future infrastructure models and technological interoperability. No public offering, sale of securities, token issuance, or formal tokenization structure is currently being launched through this collaboration.

Key Highlights

• Amazon is pursuing a $25 billion bond offering structured across eight tranches, featuring one floating-rate option and seven fixed-rate securities.
• Funds raised will support general corporate objectives, with emphasis on AI infrastructure development, capital investments, and refinancing existing obligations.
• Corporate debt markets are experiencing historically favorable conditions, with average spreads approaching record lows not seen in nearly three decades.
• Amazon’s total 2026 bond issuance now exceeds $72 billion, incorporating a $37 billion U.S. offering from March and approximately C$14 billion in Canadian bonds from June.
• Wall Street analysts maintain a “Moderate Buy” consensus on AMZN shares, with an average target of $312.79 representing significant upside from the current $247.03 level.

Amazon (AMZN) is returning to debt markets with another substantial capital raise. The e-commerce and cloud computing giant submitted a 424B5 filing Tuesday, detailing plans for a minimum $25 billion bond sale structured across eight separate tranches—comprising one floating-rate note and seven fixed-rate securities.

Amazon.com, Inc., AMZN

Shares of AMZN closed at $247.03 on Tuesday, gaining $2.87 during the session, though remaining considerably below the 52-week peak of $278.56.

This offering represents the latest chapter in an aggressive debt-raising campaign. Amazon secured $37 billion via a U.S. bond sale during March, subsequently adding approximately C$14 billion through Canadian dollar-denominated bonds last month. With Tuesday’s announcement, the company’s 2026 debt issuance surpasses $72 billion.

The strategic timing appears calculated. Corporate bond spreads—representing the additional yield investors demand above U.S. Treasury rates—reached 73 basis points on June 15, marking the tightest levels since June 1998. In an environment where capital costs hit generational lows, aggressive borrowing makes financial sense.

Amazon indicates the capital will address “general corporate purposes,” encompassing business investments, capital expenditure programs, and refinancing maturing obligations. The underlying message is clear: substantial AI infrastructure investments are planned.

Technology Sector Borrowing Surge

Amazon’s debt activity mirrors broader industry trends. Nvidia completed a $25 billion bond offering in June. Alphabet executed a ¥576.5 billion yen-denominated bond sale in May—establishing a record as the largest yen bond issuance by any foreign entity. Morgan Stanley research indicates approximately $236 billion in global debt was issued through May specifically for AI-related initiatives, representing more than quadruple the comparable 2025 period.

Morgan Stanley projects hyperscaler capital expenditure will exceed $1 trillion by 2027. Amazon clearly intends to secure substantial positioning within that forecast.

Institutional investment activity reflects continued confidence in AMZN. Matrix Asset Advisors expanded its position by 8.1% during Q1, acquiring 10,150 additional shares to reach 135,469 total units valued near $28.2 million. Several additional investment firms increased holdings in Q4, notably Arrowstreet Capital, which raised its stake by 21%. Institutional ownership collectively represents 72.2% of outstanding shares.

Analyst Perspectives and Price Targets

Wall Street sentiment toward Amazon remains decidedly bullish. Among 60 tracked analysts, 57 maintain Buy ratings while three hold neutral positions. The consensus price target stands at $312.79—approximately 27% above current trading levels.

Recent analyst actions include New Street Research elevating its target to $350, while Truist increased its objective to $320. Both firms maintained Buy recommendations.

Amazon’s latest quarterly results, released April 29, significantly exceeded market expectations. Earnings per share reached $2.78 versus consensus estimates of $1.63. Revenue totaled $181.52 billion, representing 16.6% year-over-year growth and surpassing projected $177.28 billion.

Technical indicators show the 50-day moving average at $254.57, positioned above the current $247.03 trading price. The 200-day moving average registers at $234.65.

Payward, the parent company of crypto exchange Kraken, has won a $22 million arbitration award against former auditor Mazars USA and asked the Delaware Court of Chancery to enter judgment on the award, according to a letter published Tuesday by co-CEO Arjun Sethi.

Payward said Mazars withdrew from the exchange’s nearly completed 2022 audit despite finding no fraud, raising no concerns about management’s integrity and reporting no disagreements with the company.

“An audit is not a favor. It is oxygen,” Sethi wrote, arguing that independent audits are essential for obtaining banking services, licenses and other business relationships.

Sethi said Mazars’ resignation was part of what he described as Operation Chokepoint 2.0, a broader campaign that pressured banks, auditors and other institutions to cut ties with lawful crypto companies.

The letter cited a series of regulatory developments from 2023 as evidence supporting that claim. These included joint guidance from US banking regulators, the Securities and Exchange Commission’s since-rescinded Staff Accounting Bulletin No. 121 and the collapse of crypto-focused banking networks Silvergate SEN and Signature’s Signet.

Sethi also called on Congress to pass the CLARITY Act, arguing that a comprehensive market structure framework would provide clearer rules for digital asset companies and reduce reliance on regulatory enforcement.

Related: Kraken lets traders use tokenized stocks as collateral for leveraged trades

Kraken executives reflect on auditor dispute

Kraken co-CEO Dave Ripley said on X Tuesday that “this story is worth surfacing despite its PTSD-inducing nature,” adding that “only a fraction of the stories from that era have ever been told.”

Ripley described the $22 million arbitration award as compensation for financial harm caused by what he called a coordinated campaign against the crypto industry.

Meanwhile, US regulators continue to address concerns around crypto-related debanking. In February, the Federal Reserve sought public feedback on a proposal to formally remove “reputation risk” from bank supervision, following its 2025 directive to stop pressuring banks to close customer accounts over reputational concerns. Critics said the move could help bring an end to Operation Chokepoint 2.0.

Source: Dave Ripley

Kraken was founded in 2011 and has been widely expected to pursue an initial public offering. In November 2025, the company said it had confidentially submitted a draft Form S-1 registration statement to the US Securities and Exchange Commission.

However, it was reported in May that its public debut may not come until 2027, citing weaker crypto market conditions and the exchange’s ongoing cost-cutting efforts.

Magazine: China’s 107 Bitcoin memory thief, Bithumb CEO booked: Asia Express

MemeCore has surged more than 150% over the past week after recovering from a sharp selloff that erased more than 80% of its value in late June, with renewed buying driven by security updates and improving market sentiment.

According to the MemeCore team, the rebound followed a series of public clarifications addressing concerns that emerged after the token’s steep decline. The developers said the network had become the target of a coordinated campaign involving phishing websites and a fake project using the MemeCore name on another blockchain.

They also warned users about fraudulent airdrop pages impersonating official channels, drawing a distinction between the Layer-1 network and malicious copycat platforms.

Security updates helped restore confidence

Those statements came after MemeCore plunged to about $0.51 in late June from levels above $2.80, wiping out billions in market value within days. The collapse fueled speculation over insider activity and market manipulation, leaving traders reluctant to re-enter positions while uncertainty dominated sentiment.

As the development team responded to those concerns, buyers gradually returned. The recovery accelerated as traders viewed the clarification campaign as a sign that the project was actively addressing security risks rather than remaining silent during the crisis.

The rebound also gathered momentum in derivatives markets. After the violent selloff left the token deeply oversold, bearish traders were caught off guard when prices began climbing.

As MemeCore broke above resistance around $0.80 before clearing the $1.20 region, short sellers were forced to buy back positions, adding fuel to the rally. The token eventually reached a weekly high near $1.79 before easing into consolidation around $1.48.

Although early dip buyers locked in profits near the local top, selling pressure faded quickly enough for buyers to defend higher price levels. Instead of revisiting the June lows, MemeCore has so far maintained a sequence of higher lows, suggesting demand has remained active after the initial recovery.

Technical indicators point to stabilizing momentum

The 4-hour chart shows that the recovery has entered a consolidation phase rather than another sharp reversal. MemeCore is trading around $1.48 after holding above the $1.35-$1.40 support area, while immediate resistance remains near $1.60, followed by the recent swing high around $1.80.

Momentum indicators have also improved. On the 4-hour timeframe, the relative strength index has climbed to about 58, placing it above the neutral 50 level without entering overbought territory.

Meanwhile, the MACD histogram has turned positive, with the indicator approaching a bullish crossover, suggesting downside momentum has weakened following several days of sideways trading.

Even after the recent recovery, MemeCore remains well below its all-time high of $4.84, illustrating how much ground the token lost during June’s collapse. The rapid swing from a market capitalization below $700 million to roughly $1.9 billion within days also underscores how quickly liquidity and investor sentiment can change in smaller crypto assets.

Looking ahead, the next stage of the recovery will depend on activity beyond price action. Market participants are likely to watch whether MemeCore can expand on-chain usage, attract sustained capital inflows, and grow its ecosystem of decentralized applications.

Without continued network growth, the recent gains could face renewed pressure if crypto market volatility increases, while a decisive move above the $1.80 region would strengthen the case for another leg higher toward the $2.20 area.

Blockchains cannot talk to each other on their own. Bridges are the software that moves value between them, and they have leaked more money to hackers than any other kind of crypto infrastructure, billions across a handful of catastrophic breaches. Here is how bridges actually work, the different trust models behind them, and why the connective tissue of crypto is also its most dangerous single point of failure.

There are hundreds of blockchains, and by design none of them can see the others. Ethereum has no native way to know what happened on Solana; a Bitcoin holder cannot directly spend that Bitcoin inside an Ethereum application. Each chain is an island with its own ledger, its own validators, and no built-in bridge to the mainland.

Yet users constantly need to move value between these islands, to chase yield, access an application, or reach cheaper fees, and that need created an entire category of infrastructure: the cross-chain bridge.

A bridge is software that lets assets and information move between blockchains that otherwise cannot communicate. It is essential plumbing; without bridges, liquidity would be trapped on whichever chain it started on, and the multi-chain world that defines crypto today could not function. Bridges now move billions of dollars a week, and their total value locked runs into the tens of billions.

They are also the single most dangerous piece of infrastructure in crypto. Bridge exploits have produced some of the largest thefts the industry has ever recorded, with individual breaches running into the hundreds of millions and the category’s cumulative losses in the billions. The same design that makes a bridge useful, holding or controlling large pools of assets across chains, makes it a concentrated target, and a small flaw in a bridge can drain a fortune in minutes. 

This guide explains how bridges work, the main architectures they use, the trust models that determine how safe each one is, why they keep getting hacked, and how to think about bridge risk before moving your own funds.

Why bridges are necessary

The root problem is isolation. A blockchain is a self-contained ledger whose validators agree only on the state of their own chain. Nothing in Ethereum’s protocol can natively verify that a transaction happened on another chain, because doing so would require Ethereum’s validators to also run and trust every other chain, which they do not. Each network is sovereign and blind to the others.

Before bridges, the only way to move value between chains was through a centralized exchange: send your asset to the exchange on one chain, trade it, and withdraw a different asset on another chain. This works but reintroduces exactly the centralized intermediary that crypto was meant to reduce, along with accounts, custody, and withdrawal limits. Bridges emerged to do the same job more directly, letting value move between chains without handing it to an exchange in the middle.

The demand is enormous because the ecosystem is fragmented by design. Different chains optimize for different things, and users want to combine them: hold an asset native to one chain but use it in an application on another, move to a network with cheaper fees, or supply liquidity where the returns are highest. The connective role bridges play is why the industry sometimes calls them the tissue linking the chains, and it is why bridge volume tracks the overall growth of multi-chain activity. As newer designs push more of that activity toward stablecoin settlement and payments, the demand to move dollar-denominated value across chains has only intensified, echoing the broader rise of payment-focused chains built around moving stable value efficiently.

The catch is that connecting sovereign, mutually blind systems is genuinely hard, and every method of doing it introduces a trust assumption somewhere. That assumption is where the money leaks.

How a bridge moves an asset

Most bridges rely on a simple-sounding trick: they do not actually send an asset from one chain to another, because that is impossible. Instead, they lock or destroy the asset on the source chain and create a corresponding asset on the destination chain.

Three main architectures implement this idea.

The lock-and-mint model is the most common. When you bridge an asset, the bridge locks your original tokens in a smart contract on the source chain, like putting them in a vault, and mints an equivalent wrapped token on the destination chain. That wrapped token is a claim on the locked original, redeemable by reversing the process: burn the wrapped token on the destination chain, and the bridge unlocks the original on the source chain. The locked assets sit in the bridge’s custody the entire time, which is precisely why lock-and-mint bridges have been the most exploited: the vault holding everyone’s locked assets is a single, enormous target.

The burn-and-mint model is used mainly for assets whose issuer controls supply across chains, such as certain stablecoins. Instead of locking the asset, the bridge permanently burns it on the source chain, removing it from that chain’s supply, and mints a fresh, native version on the destination chain. Because the destination asset is truly native, not a wrapped claim, this avoids the pool-of-locked-assets problem, but it only works when a single issuer has authority to burn and mint the asset on every chain, which is why it is common for stablecoins and rare for everything else.

The liquidity-pool model takes a different approach. The bridge maintains pools of assets on every supported chain, and when you bridge, you deposit into the pool on the source chain and withdraw the equivalent from the pool on the destination chain, often with a solver or market maker fronting the destination asset instantly and settling later. Nothing is wrapped; you simply swap into inventory that already exists on the other side. This can be faster and avoids wrapped-token risk, but it requires the bridge to keep large inventories on every chain, which is both capital-intensive and, again, a target.

Beyond moving assets, modern bridges also pass messages: arbitrary data and instructions that let a smart contract on one chain trigger an action on another. A token transfer is just the simplest message, saying an amount was locked here, so mint it there. More elaborate messages let an application on one chain react to events on another, which powers cross-chain lending, governance, and complex applications. This general message passing is powerful and expands what bridges can do far beyond simple transfers, but every added capability is added surface area for something to go wrong.

The trust models that decide safety

The crucial question for any bridge is who verifies that the source-chain event actually happened before the destination chain acts on it. The answer is the bridge’s trust model, and it is the single biggest determinant of how safe the bridge is. There is a well-known framework classifying these models, and it maps cleanly onto a spectrum from convenient-but-risky to trustless-but-costly.

The trusted model relies on a fixed set of external validators, often secured by a multisignature or multiparty scheme, who watch the source chain and sign off on events for the destination chain. This is fast, cheap, and simple, but the validator set is the trust assumption: if enough of their signing keys are compromised, the attacker controls the bridge. Many of the largest bridge hacks in history were failures of exactly this model, where an attacker gained control of enough validator keys to authorize fraudulent withdrawals. When a bridge’s security rests on a handful of keys, those keys are the whole game.

The light-client or validity-proof model is the trustless end of the spectrum. Here the destination chain actually runs a light client of the source chain and cryptographically verifies its block headers, or accepts a validity proof, instead of trusting a set of signers. This is far more secure because it removes the human validator set and replaces it with mathematics, but it is expensive in computation and complex to build, and it does not work efficiently for every pair of chains. Advances in zero-knowledge proofs, the same cryptography moving to the center of Ethereum’s long-term rebuild, are extending this model to more chains, but it remains harder to deploy than trusting a signer set.

Between the extremes sit optimistic and hybrid models, which assume transactions are valid but allow a challenge window during which watchers can submit proof of fraud, similar to how some scaling systems secure their withdrawals. These trade some speed, through the challenge delay, for stronger security than a pure trusted model, without the full cost of a light client. Where a bridge sits on this spectrum tells you almost everything about its risk: the more it relies on a small trusted group and the less it relies on cryptographic verification, the more it depends on those few parties never being compromised.

Why bridges keep getting hacked

Bridges have lost more to hackers than any other category of crypto infrastructure, and the reasons are structural, not accidental. Understanding them explains why the problem persists despite years of painful lessons.

The first reason is concentration of value. A bridge, especially a lock-and-mint one, accumulates a large pool of locked assets backing all the wrapped tokens it has issued. That pool is a single honeypot, and unlike a diffuse set of user wallets, draining it once takes everything. Attackers are economically rational, and they gravitate to wherever the most value sits behind the fewest defenses, which describes a large bridge almost perfectly.

The second reason is weak trust models. Many bridges chose the fast, cheap, trusted model, securing hundreds of millions of dollars behind a small set of signing keys. The largest bridge thefts on record were, at their core, key compromises: an attacker obtained control of enough of the bridge’s validator keys, through phishing, malware, or infrastructure breaches, and then simply authorized withdrawals that the bridge treated as legitimate. No clever exploit of the blockchain was needed, only control of the keys the bridge trusted. A bridge secured by nine keys where five are enough to move funds is, in security terms, a five-key vault.

The third reason is complexity. Bridges are among the most complex smart-contract systems in crypto, spanning multiple chains, custom message formats, and intricate verification logic, and complexity is the enemy of security. Every added feature, every new supported chain, every message type is more code that can contain a subtle flaw, and bridge exploits have repeatedly come from bugs in verification logic that let an attacker forge a proof of a deposit that never happened, causing the bridge to release funds against nothing. The fraud-proof and verification systems that are supposed to guard a bridge are themselves complex code, and a flaw there is catastrophic because it undermines the entire security model at once. The category’s history rhymes with the broader lesson that concentrated infrastructure fails hard, the same dynamic seen when any single point of control becomes the weakest link in an otherwise sound system.

These three forces combine into a grim equation: bridges hold enormous value, often behind trust models thinner than the value warrants, inside code complex enough to hide fatal bugs. That is why, even as the industry has learned hard lessons and newer designs have improved, bridges remain the place where the largest single thefts tend to happen.

The anatomy of a bridge hack

To make the risk concrete, it helps to walk through how a typical bridge exploit actually unfolds, because the pattern repeats across nearly every major incident and reveals why the losses are so total.

Most catastrophic bridge hacks fall into one of two shapes. The first is a key compromise. A trusted-model bridge secures its locked assets behind a set of signing keys, and an attacker obtains control of enough of those keys, through phishing an employee, compromising a server, or exploiting weak key management, to reach the signing threshold. Once the attacker can produce valid signatures, the bridge has no way to distinguish their fraudulent withdrawal from a legitimate one, because a validly signed instruction is exactly what the bridge is built to obey. The attacker signs a withdrawal that drains the locked pool, and the assets are gone before anyone notices, because from the bridge’s perspective nothing broke; the correct keys authorized the transfer. Several of the largest bridge thefts in history were precisely this: not a clever exploit of the blockchain, but a theft of the keys the bridge trusted, turning the bridge’s own security model into the attacker’s tool.

The second shape is a verification bug. A bridge must verify that a deposit really happened on the source chain before releasing funds on the destination chain, and this verification logic is complex code. If it contains a flaw, an attacker can craft a fake proof of a deposit that never occurred, submit it to the bridge, and the bridge, believing the fake, releases real assets against nothing. The attacker deposited nothing and withdrew a fortune, because the code that was supposed to check the deposit accepted a forgery. These bugs are catastrophic precisely because they attack the bridge’s core trust mechanism: once an attacker can forge the proof the bridge relies on, they can mint or withdraw arbitrary value until someone halts the bridge, which in a fast-moving exploit can be far too late.

Both shapes share a defining feature that explains why recovery is so rare: the theft looks legitimate to the bridge at the moment it happens. A key-compromise withdrawal carries valid signatures; a verification-bug withdrawal carries an accepted proof. Neither trips an alarm inside the system, because both exploit the system doing exactly what it was designed to do, only on fraudulent inputs. By the time the discrepancy surfaces, usually when the locked assets no longer back the wrapped tokens in circulation, the funds have moved through mixers and across other chains. The wrapped tokens left behind become claims on an empty vault, and their holders, who did nothing wrong, absorb the loss. This is the mechanism by which a single flaw in one bridge translates into hundreds of millions gone, and why the security of a bridge deserves more scrutiny than almost any other decision in a multi-chain transaction.

How to think about bridge risk

Bridges are necessary and, used carefully, reasonable to rely on, but their risk profile deserves respect. A few principles help you evaluate any bridge before trusting it with funds.

Prefer stronger trust models. A bridge secured by cryptographic verification, a light client or validity proofs, or by a canonical connection to a base chain, is structurally safer than one secured by a small external signer set. Where a bridge documents its trust model, read it; the difference between trusting mathematics and trusting a handful of keys is the difference between the safest and riskiest bridges in existence. Independent frameworks that score bridges on their trust assumptions exist precisely because this distinction is hard for users to assess alone.

Favor track record and audits. A bridge with a long operational history free of exploits, multiple independent security audits, an active bug bounty, and transparent, time-locked upgrade processes has earned more trust than a new, unaudited one, however attractive its yields. Bridges are not where to chase the newest, highest-return option, because the downside of a bridge failure is total loss of the funds in transit.

Minimize time and size at risk. Bridging is riskiest while your value sits in the bridge’s custody or in transit. Moving smaller amounts, avoiding leaving large balances in wrapped tokens longer than necessary, and using aggregators that route through the safest available path all reduce exposure, while minding the slippage a large cross-chain swap can incur along the way. For very large transfers, splitting them or accepting the slower safety of a canonical bridge can be worth the inconvenience.

Understand what you are holding after you bridge. A wrapped token is a claim on assets locked in a bridge, and it is only as sound as that bridge. If the bridge is exploited and its locked assets drained, the wrapped tokens it issued can become worthless claims on an empty vault, even though your original assets are gone. Native assets obtained through burn-and-mint or liquidity-pool models avoid this specific risk, which is one reason those models are often preferred where available, particularly for the stablecoins that dominate cross-chain settlement.

The honest summary is that bridges are indispensable and imperfect. They solve a real and unavoidable problem, connecting sovereign chains that cannot see each other, and there is no way to do that without introducing a trust assumption somewhere. The safest bridges push that assumption toward cryptography and away from small groups of keys; the most dangerous do the reverse and guard enormous value with thin trust. Knowing which kind you are using, and treating the crossing as the riskiest moment in any multi-chain transaction, is what separates informed use from the kind of blind trust that has, again and again, funded the largest heists in the industry.

It is worth ending on where the technology is heading, because the picture is not static. The industry has absorbed the lessons of its worst bridge failures, and newer designs increasingly favor stronger trust models: burn-and-mint transfers for assets whose issuers can support them, cryptographic light clients and validity proofs where the chain pairs allow, and intent-based systems where independent parties front liquidity and take on the risk rather than pooling everyone’s assets in a single honeypot. Independent risk frameworks now score bridges on exactly the trust assumptions that used to be invisible to ordinary users, making it easier to tell a well-secured bridge from a dangerous one before committing funds. None of this eliminates the fundamental tension that connecting blind, sovereign systems requires trusting something, but it does shift the trust toward mathematics and away from the small key-holding groups that account for the largest historical losses. The bridges of the next few years will be safer than those that leaked billions, not because the problem got easier, but because the industry paid for the lesson in full and is finally building as though it remembers.

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Disclaimer: This article is for informational purposes only and does not constitute investment advice. Digital asset markets are volatile and you can lose your entire investment. Always do your own research. Information current as of July 7, 2026.