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first_img Hyperliquid Co-Founder: Self-Custody and Transparency are the True Advantages of On-Chain Finance

According to The Block, Jeff Yan, co-founder of the decentralized perpetual contract trading platform Hyperliquid, stated during a fireside chat at the Korea Blockchain Week 2026 that around-the-clock trading is not the essential difference between on-chain trading venues and traditional exchanges. He pointed out that cryptocurrencies do not need to adhere to traditional market opening hours because these assets inherently possess international attributes, and some traditional exchanges have already begun to actively extend their trading hours.Yan emphasized that the more enduring value of on-chain finance comes from allowing users to retain control and custody of their funds, which helps to avoid a common single point of failure risk. In his view, once a counterparty, intermediary, or even custodian encounters issues, the ability to self-custody becomes particularly crucial.In addition, transparency constitutes another distinct feature of on-chain trading. Although it does not have a strong appeal in serving ordinary consumers, it is essential for building trust in the entire system. In a system controlled solely by a private organization, users cannot obtain the same level of trust and neutrality guarantees.He also mentioned that for assets lacking publicly available prices during the closing hours of traditional exchanges, continuous trading remains necessary. He cited commodities, stocks, and Pre-IPO targets that had already traded on Hyperliquid before the reference market opened as examples to illustrate that the demand is indeed real.

Analyst: The AI competition in the United States is difficult to "slow down," and safety regulations may instead reinforce the advantages of leading laboratories

Analyst Jukan from Citrini forwarded a research report from Tianfeng Securities and stated that the U.S. government needs to maintain its leading position in the AI field, making it difficult to truly stop once it enters the AI race. Jukan believes that the recent calls from Anthropic and OpenAI to slow down AI development should not be viewed solely as safety initiatives; there may also be multiple considerations behind it, such as the inability to slow down competition and consolidating leading advantages through safety regulation.Jukan further pointed out that the related "AI slowdown" calls seemingly stem from the challenges of safety testing, operational monitoring, and third-party validation keeping pace with the speed of model iteration. In the short term, this may suppress market sentiment in the AI sector and lower market expectations for the next generation of models; another possibility is that the industry remains optimistic about AI in the long term but wishes to delay the next round of significant R&D investment, prioritizing the commercialization of existing products and reducing infrastructure and capital expenditure pressures. He believes that the AI race is essentially similar to a "prisoner's dilemma," where all parties wish to slow down, but no one dares to be the first to stop, or they may lose technological, customer, and financing advantages.Jukan also mentioned that Anthropic and OpenAI have recently emphasized recursive self-improvement (RSI), which is related to AI already assisting in the development of the next generation of AI and the acceleration of model iteration speed; at the same time, it has been reported that during internal testing at OpenAI, incidents occurred where agents collaborated to escape the sandbox and intrude into Hugging Face's production servers. Jukan believes that as the release of models incurs expensive evaluation, certification, and ongoing audit costs, large laboratories are better able to bear these fixed costs, while smaller teams may face higher entry barriers as a result; if leading laboratories further participate in the formulation of evaluation standards, industry barriers may continue to rise.

Apple faces a $2.7 billion class action lawsuit: accused of unfair application tracking rules against third-party developers, gaining improper advantages in its own advertising ecosystem

According to a report by Reuters, Apple Inc. is facing a class-action lawsuit in London, with claims amounting to £2 billion (approximately $2.7 billion). The lawsuit was filed today in the London Competition Appeal Tribunal by Ann Pope, a former senior official of the UK's Competition and Markets Authority, representing app developers.The core allegation is that Apple's "App Tracking Transparency" (ATT) feature, launched in 2021, imposes stricter restrictions on third-party developers than on its own services, giving Apple's own advertising ecosystem an unfair competitive advantage. Ann Pope stated that Apple's policies "have caused very significant harm to businesses that rely on Apple as a gatekeeper."Since its launch, the ATT feature has been a focal point of concern for global regulators for several years. Apple's official stance is that the feature is designed to allow users to control whether to permit apps to track their activities across other companies and websites.However, the plaintiffs argue that the actual enforcement of this rule has a double standard—tracking requests from third-party apps require strict pop-up authorization, while Apple's own personalized ads and services can bypass the same restrictions. This lawsuit represents the latest legal challenge Apple faces regarding its ATT policy and is the first large-scale private antitrust lawsuit initiated in the UK market against Apple's app ecosystem rules following scrutiny from regulators in the EU, the US, and several other countries.

DWF Ventures: The rapid rise of social trading, platform competition is shifting from trade execution to social networks and information advantages

DWF Ventures released a report stating that as trading fees continue to approach zero, social trading is becoming a new direction for financial trading platforms to compete for users and build moats.The rise of social trading stems from users seeking validation from others and references for investment decisions. From early brokerage copy trading to investment communities like Reddit and Stocktwits, and now to platforms that combine real position verification, trading signals, and social relationships, social trading is evolving from a simple copy trading tool into a product form that integrates trading, content, and social interaction. As trade execution becomes increasingly homogenized, the future competitive advantage of platforms may come more from network effects, resources of well-known traders, and exclusive information and distribution capabilities.Analysis suggests that social trading platforms are forming a clear growth flywheel: platforms attract well-known traders and their fans, traders build reputations through public trading, fans amplify market influence by following trades, which in turn increases the visibility of traders and the user base of the platform. Public calls for trades may even generate a certain "self-fulfilling" effect in this process.Platforms also lower the entry barriers for users through one-click trading, low-threshold acceptance, trading competitions, and fee incentives, and leverage the social influence of top traders to facilitate user migration. In the future, the social trading ecosystem in the cryptocurrency and traditional stock sectors may further integrate, and platforms that master trader, user attention, and information flow are expected to form stronger network effects.However, social trading also faces significant structural risks. Data shows that among approximately 292,000 wallets analyzed by the Fomo platform over the past three months, only 6.16% achieved profitability based on realized gains. Followers lack independent investment logic and are easily influenced by herd behavior, while there may also be conflicts of interest between traders and followers.Furthermore, even if platforms can verify public positions, traders may still establish undisclosed positions through other wallets, making information asymmetry difficult to eliminate completely. Analysis suggests that as the boundaries between trading and entertainment continue to blur, platforms that can establish unique information layers, gather quality traders, and form network effects may gain an advantage in the competitive social trading market.

first_img Italian Central Bank Study: Stablecoin Remittances Have No Systemic Cost Advantage, On-chain Components Only Account for a Small Portion

In a research report released by the Bank of Italy in July 2026, a "mystery shopper" empirical investigation was conducted for the first time, tracking 200 USDC transfers across ten corridors between Italy and Argentina, Brazil, South Africa, the UAE, and Japan. The results showed that the total cost of stablecoin remittances fluctuated greatly, with a minimum of only 0.3% and a maximum close to 9%. On-chain transfers accounted for an average of only 0.4%, with the bulk of costs concentrated in fiat withdrawal and deposit stages—traditional intermediary fees such as exchange buy-sell spreads, credit card fees, and withdrawal fees were the decisive factors. Compared to traditional channels like Wise, stablecoins have a cost advantage in some corridors like Brazil to Italy, but the costs are higher in corridors like UAE to Italy, showing a high degree of "corridor specificity."In terms of speed, blockchain transfers themselves take only a few minutes, but end-to-end efficiency entirely depends on the quality of the traditional payment infrastructure in the destination country. Countries with instant payment systems, such as Brazil (PIX), Italy (TIPS), and Argentina (Transferencias 3.0), can keep the entire process under 20 minutes; whereas countries like South Africa, which rely on traditional bank transfers, see the arrival time extended to 1 to 2 business days. The report pointed out that the efficiency of stablecoin remittances is jointly determined by their own infrastructure and the surrounding traditional payment infrastructure, with both being complementary rather than substitutive. The report also analyzed the impact of global regulatory fragmentation: the EU's MiCA and the US's GENIUS Act represent mature compliance frameworks; Japan's strict "safety first" access, while lowering nominal costs, complicates processes leading users to offshore platforms; countries like India and Turkey are in a transitional regulatory phase; while countries like Egypt and Saudi Arabia, with prohibitive measures, have failed to suppress demand, instead pushing transactions into gray channels.

VanEck: Bitcoin has triggered 8 surrender indicators, and the real buying advantage may need to wait for a one-year cycle

According to CoinDesk, the latest report from asset management company VanEck shows that Bitcoin has currently triggered 8 out of 12 market capitulation indicators, indicating that the market is approaching the historical bear market bottom area, but the related signals do not mean that the price has bottomed out. These indicators mainly measure the market status of Bitcoin during extreme sell-off phases, including the extent of price retracement from highs, miner profitability, and the proportion of holders at a loss. Over the past three months, all 12 indicators have reached the triggering range.VanEck pointed out that Bitcoin's previous rounds of major bottoms experienced maximum declines of approximately 94%, 85%, 84%, and 78%, during which the market lacked support from spot ETF funds, institutional holdings were relatively small, and there were impacts from major industry events such as Celsius and FTX. In contrast, the market structure has changed this time. From a cyclical perspective, VanEck has compiled 4 complete Bitcoin cycles since 2011 and found that bear markets typically last about 11 months on average from peak to trough; if excluding the special cycle of 2011, the average is about 12.7 months. Currently, Bitcoin has entered the 10th month since its peak in October 2025, and the next potential accumulation window may appear between September and November of this year.VanEck concluded that the current capitulation indicators are more suitable as tools for long-term investors to assess the cycle position rather than short-term bottom-fishing signals. Historical data shows that the advantages of investing based on these indicators are mainly reflected within a one-year cycle, and the market may continue to fluctuate in the coming months.
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