Trends is a Solana-based tweet tokenization protocol where users can tokenize and trade any tweet. Previously, Trends was originally named OpenFriend.Tech, which is a social chain reputation protocol based on Friend tech, aiming to help users more easily manage points, view rankings, etc.
Odaily News, "Fed Whisperer" Nick Timiraos stated that the US Treasury recently announced it will raise the single-operation buyback cap for long-term nominal coupon Treasury securities from $2 billion to at least $4 billion starting September 9.Timiraos, citing interest rate strategists, noted that the timing of this decision is worth attention: it comes only about two weeks after the Treasury's previous quarterly refunding announcement, and just hours after the announcement, the Treasury had planned to issue $16 billion in 20-year Treasury bonds. This unconventional timing may indicate that Treasury officials "do not like what is happening in the market."
Odaily News - Analyst qinbafrank posted on X platform, stating that the latest earnings reports from CoreWeave (CRWV) and Nebius show the AI cloud computing (CSP) industry is entering a phase of rapid expansion. The competitive focus is shifting from simply providing GPU leasing to building AI infrastructure platforms that encompass computing power, software, data, and operational capabilities.Currently, AI computing demand still significantly exceeds short-term deliverable supply. Meanwhile, pricing power for AI computing is strengthening, but price increases are mainly concentrated on high-value resources. CoreWeave stated that prices for various GPU computing SKUs rose by approximately 25% on average in July; Nebius disclosed that prices for previous-generation GPUs increased by over 30% compared to Q1, with new contracts signed in Q2 averaging over $20 million in annualized revenue per MW, some projects reaching $20 million to $25 million, and short-term emergency capacity prices even reaching $40 million to $50 million per MW.However, price increases are mainly occurring in short-term capacity, next-generation GPUs, large-scale clusters, and production-grade AI inference scenarios. Traditional low-priority, long-term locked-in bare computing power has not seen concurrent price increases. From a profitability model perspective, project-level returns on AI computing are becoming clearer, but overall corporate return on invested capital (ROIC) still needs time to be validated. Nebius has for the first time disclosed relatively clear project payback periods, while CoreWeave is reducing GPU investment pressure through long-term contracts and asset-level financing. However, both companies remain in a high-capital-expenditure phase, with depreciation and financing costs continuing to compress profit margins.Nevertheless, an increasing number of individual projects are achieving closed-loop economic models, indicating that the AI infrastructure business model is gradually maturing. Additionally, both CoreWeave and Nebius are upgrading toward becoming "AI infrastructure operating systems." Future CSP competition will no longer be just about renting out GPU hours but will cover complete service systems including AI training, inference, storage, networking, model deployment, monitoring, security governance, and Agent runtime environments.In terms of capital models, the two companies are also taking different paths: Nebius leans more toward an asset-light model, building AI data centers through capital partners while providing AI infrastructure operations and software capabilities itself; CoreWeave, on the other hand, is promoting a hybrid cloud model through its Omni strategy, deploying complete AI cloud platforms to customers' own data centers and GPU resources, placing greater emphasis on enterprise-level and sovereign AI delivery.Overall, the AI cloud computing industry is evolving from "GPU rental providers" to "AI infrastructure platforms." Short-
According to the official announcement, Huobi HTX will host a themed live stream today at 20:00 titled "Ceasefire Ends, Oil Price Surges Past 75, STRATEGY Sells Coins at Loss for First Time: Can BTC's Macro Narrative Still Hold?" During the event, crypto KOLs such as HuaBai Blockchain, Sincere Little Taoist, Crypto.0824, and OxPink will gather in the live stream room to conduct in-depth discussions on recent market hotspots such as the fluctuating situation in the Middle East and the strong upward trend in international oil prices, and combine Federal Reserve policy expectations to analyze BTC's future trend as well as crypto asset allocation opportunities and risk management strategies, providing investors with multi-dimensional market observations and trading ideas.
Odaily reports, In a recent video interview with Cointelegraph, Gate Founder and CEO Dr. Han stated that the crypto industry is transitioning from a primarily speculation-driven market towards a phase focused on infrastructure development and real-world applications. Dr. Han pointed out that stablecoins, RWA, AI, and asset tokenization are becoming core directions for the industry, and that clearer regulatory frameworks (such as the CLARITY Act) are expected to further drive innovation in DeFi, payments, and on-chain finance.Dr. Han also mentioned that high user entry barriers, security risks, and liquidity fragmentation remain significant challenges facing the industry. In the future, the crypto industry will further integrate with traditional finance, playing a more important role in areas such as payments, settlement, and the circulation of digital assets.Gate continues to deepen its multi-asset and TradFi strategy. In addition to expanding into assets such as stocks, metals, forex, indices, and commodities, it has also launched Pre-IPOs with the first project, SpaceX (SPCX). At the same time, as one of the first CEX platforms to integrate Polymarket, Gate is continuously promoting the development of the prediction market ecosystem, accelerating the construction of a comprehensive trading platform that spans crypto and traditional finance.
According to a report released by a16z crypto researchers Robert Hackett and Jeremy Zhang, stablecoins are evolving from early-stage tools for trading and savings into core financial infrastructure. On the regulatory front, the U.S. GENIUS Act has established the first federal framework for stablecoin issuance. Although the European Union’s MiCA regulation—after coming into effect—led to the delisting of USDT from several exchanges, it has instead spurred sustained demand for non-U.S. dollar stablecoins, with monthly trading volume remaining steady in the $15–25 billion range. In terms of usage, consumer-to-business (C2B) stablecoin transaction volume grew 128% year-on-year in 2025, reaching 284.6 million transactions. Stablecoin velocity rose from 2.6x in early 2024 to 6x, indicating that existing supply is now being used more frequently for payments rather than held as savings. After excluding transactional and financial flow activity, an estimated $350–550 billion in stablecoin value in 2025 was attributable to genuine payment use cases. Geographically, nearly two-thirds of stablecoin payment volume originates from Asia (primarily Singapore, Hong Kong, and Japan), roughly one-quarter comes from North America, and approximately 13% from Europe. Notably, cross-border transaction share has actually declined, while domestic transactions have risen from ~50% in early 2024 to nearly 75% by early 2026. The BRL-pegged stablecoin BRLA, for example, now sees monthly transfers totaling approximately $400 million—evidence of the growing adoption of localized stablecoin payments.
Odaily News - Analyst qinbafrank posted on X platform, stating that the latest earnings reports from CoreWeave (CRWV) and Nebius show the AI cloud computing (CSP) industry is entering a phase of rapid expansion. The competitive focus is shifting from simply providing GPU leasing to building AI infrastructure platforms that encompass computing power, software, data, and operational capabilities.Currently, AI computing demand still significantly exceeds short-term deliverable supply. Meanwhile, pricing power for AI computing is strengthening, but price increases are mainly concentrated on high-value resources. CoreWeave stated that prices for various GPU computing SKUs rose by approximately 25% on average in July; Nebius disclosed that prices for previous-generation GPUs increased by over 30% compared to Q1, with new contracts signed in Q2 averaging over $20 million in annualized revenue per MW, some projects reaching $20 million to $25 million, and short-term emergency capacity prices even reaching $40 million to $50 million per MW.However, price increases are mainly occurring in short-term capacity, next-generation GPUs, large-scale clusters, and production-grade AI inference scenarios. Traditional low-priority, long-term locked-in bare computing power has not seen concurrent price increases. From a profitability model perspective, project-level returns on AI computing are becoming clearer, but overall corporate return on invested capital (ROIC) still needs time to be validated. Nebius has for the first time disclosed relatively clear project payback periods, while CoreWeave is reducing GPU investment pressure through long-term contracts and asset-level financing. However, both companies remain in a high-capital-expenditure phase, with depreciation and financing costs continuing to compress profit margins.Nevertheless, an increasing number of individual projects are achieving closed-loop economic models, indicating that the AI infrastructure business model is gradually maturing. Additionally, both CoreWeave and Nebius are upgrading toward becoming "AI infrastructure operating systems." Future CSP competition will no longer be just about renting out GPU hours but will cover complete service systems including AI training, inference, storage, networking, model deployment, monitoring, security governance, and Agent runtime environments.In terms of capital models, the two companies are also taking different paths: Nebius leans more toward an asset-light model, building AI data centers through capital partners while providing AI infrastructure operations and software capabilities itself; CoreWeave, on the other hand, is promoting a hybrid cloud model through its Omni strategy, deploying complete AI cloud platforms to customers' own data centers and GPU resources, placing greater emphasis on enterprise-level and sovereign AI delivery.Overall, the AI cloud computing industry is evolving from "GPU rental providers" to "AI infrastructure platforms." Short-
RaveDAO responded to recent market concerns regarding RAVE’s price volatility, denying that the team has participated in or driven the token’s price movements and labeling related rumors as false. The DAO emphasized its ongoing commitment to project development. RaveDAO stated that its current strategy is long-term oriented, with plans to enhance incentive alignment between the team and the community through mechanism design—including exploring token lock-up models triggered by price or performance metrics. The team also disclosed that, per its Token Release Schedule (TRS), it will sell portions of already-unlocked tokens at appropriate times to fund operational expenses, global hiring, marketing initiatives, and strategic acquisitions. This statement implies an expectation of sustained selling pressure. Additionally, RaveDAO confirmed its continued allocation of a portion of revenues to public welfare: it has pledged to donate 20% of event profits and a portion of future operational profits to charitable causes. The project reiterated that its core objective is to build an on-chain entertainment and music ecosystem and drive Web3 user growth—not short-term price performance.
Odaily News - Analyst qinbafrank posted on X platform, stating that the latest earnings reports from CoreWeave (CRWV) and Nebius show the AI cloud computing (CSP) industry is entering a phase of rapid expansion. The competitive focus is shifting from simply providing GPU leasing to building AI infrastructure platforms that encompass computing power, software, data, and operational capabilities.Currently, AI computing demand still significantly exceeds short-term deliverable supply. Meanwhile, pricing power for AI computing is strengthening, but price increases are mainly concentrated on high-value resources. CoreWeave stated that prices for various GPU computing SKUs rose by approximately 25% on average in July; Nebius disclosed that prices for previous-generation GPUs increased by over 30% compared to Q1, with new contracts signed in Q2 averaging over $20 million in annualized revenue per MW, some projects reaching $20 million to $25 million, and short-term emergency capacity prices even reaching $40 million to $50 million per MW.However, price increases are mainly occurring in short-term capacity, next-generation GPUs, large-scale clusters, and production-grade AI inference scenarios. Traditional low-priority, long-term locked-in bare computing power has not seen concurrent price increases. From a profitability model perspective, project-level returns on AI computing are becoming clearer, but overall corporate return on invested capital (ROIC) still needs time to be validated. Nebius has for the first time disclosed relatively clear project payback periods, while CoreWeave is reducing GPU investment pressure through long-term contracts and asset-level financing. However, both companies remain in a high-capital-expenditure phase, with depreciation and financing costs continuing to compress profit margins.Nevertheless, an increasing number of individual projects are achieving closed-loop economic models, indicating that the AI infrastructure business model is gradually maturing. Additionally, both CoreWeave and Nebius are upgrading toward becoming "AI infrastructure operating systems." Future CSP competition will no longer be just about renting out GPU hours but will cover complete service systems including AI training, inference, storage, networking, model deployment, monitoring, security governance, and Agent runtime environments.In terms of capital models, the two companies are also taking different paths: Nebius leans more toward an asset-light model, building AI data centers through capital partners while providing AI infrastructure operations and software capabilities itself; CoreWeave, on the other hand, is promoting a hybrid cloud model through its Omni strategy, deploying complete AI cloud platforms to customers' own data centers and GPU resources, placing greater emphasis on enterprise-level and sovereign AI delivery.Overall, the AI cloud computing industry is evolving from "GPU rental providers" to "AI infrastructure platforms." Short-
the market for tokenized Pokémon Trading Card Game-related assets generated approximately $7.4 million in total revenue during the first week of May, setting a new all-time high and representing a 337% increase compared to the same period last year. Among platforms, Courtyard led with a market share of about 46%, followed by Collector Crypt and Phygitals with approximately 27% and 26%, respectively.The surge in market activity is believed to be closely tied to the upcoming 30th anniversary cycle of the Pokémon IP. Google Trends data shows that search volumes for keywords such as "Pokémon cards" and "Japanese Pokémon card" are nearing historical highs. Meanwhile, the official brand has launched a year-long global celebration and plans to release a new "30th Celebration" card series in September.Analysts point out that tokenized card trading platforms typically experience a certain lag relative to the physical market's momentum. The current growth in on-chain transactions more likely reflects a secondary amplification trend of "real-world collecting frenzy leading to digital assetization."Furthermore, some industry observers suggest that as the 30th-anniversary commemorative series approaches its launch, if demand in the physical market intensifies further, on-chain tokenized trading could usher in a new wave of accelerated growth. (The Block)
Odaily reports, In a recent video interview with Cointelegraph, Gate Founder and CEO Dr. Han stated that the crypto industry is transitioning from a primarily speculation-driven market towards a phase focused on infrastructure development and real-world applications. Dr. Han pointed out that stablecoins, RWA, AI, and asset tokenization are becoming core directions for the industry, and that clearer regulatory frameworks (such as the CLARITY Act) are expected to further drive innovation in DeFi, payments, and on-chain finance.Dr. Han also mentioned that high user entry barriers, security risks, and liquidity fragmentation remain significant challenges facing the industry. In the future, the crypto industry will further integrate with traditional finance, playing a more important role in areas such as payments, settlement, and the circulation of digital assets.Gate continues to deepen its multi-asset and TradFi strategy. In addition to expanding into assets such as stocks, metals, forex, indices, and commodities, it has also launched Pre-IPOs with the first project, SpaceX (SPCX). At the same time, as one of the first CEX platforms to integrate Polymarket, Gate is continuously promoting the development of the prediction market ecosystem, accelerating the construction of a comprehensive trading platform that spans crypto and traditional finance.
According to a report released by a16z crypto researchers Robert Hackett and Jeremy Zhang, stablecoins are evolving from early-stage tools for trading and savings into core financial infrastructure. On the regulatory front, the U.S. GENIUS Act has established the first federal framework for stablecoin issuance. Although the European Union’s MiCA regulation—after coming into effect—led to the delisting of USDT from several exchanges, it has instead spurred sustained demand for non-U.S. dollar stablecoins, with monthly trading volume remaining steady in the $15–25 billion range. In terms of usage, consumer-to-business (C2B) stablecoin transaction volume grew 128% year-on-year in 2025, reaching 284.6 million transactions. Stablecoin velocity rose from 2.6x in early 2024 to 6x, indicating that existing supply is now being used more frequently for payments rather than held as savings. After excluding transactional and financial flow activity, an estimated $350–550 billion in stablecoin value in 2025 was attributable to genuine payment use cases. Geographically, nearly two-thirds of stablecoin payment volume originates from Asia (primarily Singapore, Hong Kong, and Japan), roughly one-quarter comes from North America, and approximately 13% from Europe. Notably, cross-border transaction share has actually declined, while domestic transactions have risen from ~50% in early 2024 to nearly 75% by early 2026. The BRL-pegged stablecoin BRLA, for example, now sees monthly transfers totaling approximately $400 million—evidence of the growing adoption of localized stablecoin payments.
Odaily News, "Fed Whisperer" Nick Timiraos stated that the US Treasury recently announced it will raise the single-operation buyback cap for long-term nominal coupon Treasury securities from $2 billion to at least $4 billion starting September 9.Timiraos, citing interest rate strategists, noted that the timing of this decision is worth attention: it comes only about two weeks after the Treasury's previous quarterly refunding announcement, and just hours after the announcement, the Treasury had planned to issue $16 billion in 20-year Treasury bonds. This unconventional timing may indicate that Treasury officials "do not like what is happening in the market."
Odaily News - Analyst qinbafrank posted on X platform, stating that the latest earnings reports from CoreWeave (CRWV) and Nebius show the AI cloud computing (CSP) industry is entering a phase of rapid expansion. The competitive focus is shifting from simply providing GPU leasing to building AI infrastructure platforms that encompass computing power, software, data, and operational capabilities.Currently, AI computing demand still significantly exceeds short-term deliverable supply. Meanwhile, pricing power for AI computing is strengthening, but price increases are mainly concentrated on high-value resources. CoreWeave stated that prices for various GPU computing SKUs rose by approximately 25% on average in July; Nebius disclosed that prices for previous-generation GPUs increased by over 30% compared to Q1, with new contracts signed in Q2 averaging over $20 million in annualized revenue per MW, some projects reaching $20 million to $25 million, and short-term emergency capacity prices even reaching $40 million to $50 million per MW.However, price increases are mainly occurring in short-term capacity, next-generation GPUs, large-scale clusters, and production-grade AI inference scenarios. Traditional low-priority, long-term locked-in bare computing power has not seen concurrent price increases. From a profitability model perspective, project-level returns on AI computing are becoming clearer, but overall corporate return on invested capital (ROIC) still needs time to be validated. Nebius has for the first time disclosed relatively clear project payback periods, while CoreWeave is reducing GPU investment pressure through long-term contracts and asset-level financing. However, both companies remain in a high-capital-expenditure phase, with depreciation and financing costs continuing to compress profit margins.Nevertheless, an increasing number of individual projects are achieving closed-loop economic models, indicating that the AI infrastructure business model is gradually maturing. Additionally, both CoreWeave and Nebius are upgrading toward becoming "AI infrastructure operating systems." Future CSP competition will no longer be just about renting out GPU hours but will cover complete service systems including AI training, inference, storage, networking, model deployment, monitoring, security governance, and Agent runtime environments.In terms of capital models, the two companies are also taking different paths: Nebius leans more toward an asset-light model, building AI data centers through capital partners while providing AI infrastructure operations and software capabilities itself; CoreWeave, on the other hand, is promoting a hybrid cloud model through its Omni strategy, deploying complete AI cloud platforms to customers' own data centers and GPU resources, placing greater emphasis on enterprise-level and sovereign AI delivery.Overall, the AI cloud computing industry is evolving from "GPU rental providers" to "AI infrastructure platforms." Short-
According to official social media news, Huobi HTX will host a themed live stream titled "FOMC Tonight Decides the Outcome — 20% Rate Hike Probability Hard to Distinguish: Can BTC's $70,000 Option Bet Still Pay Off?" at 20:00 today. At that time, crypto KOLs such as Mao Mao Jie, Sincere Little Taoist, 0xJoker, and Mr. Misi will be invited to attend, focusing on core variables of market concern on the eve of the FOMC meeting, analyzing the macro signals behind the 20% rate hike probability, discussing the impact of USD liquidity changes on the crypto market, and combining with BTC key option positions to identify short-term market breakouts and risk turning points.
According to the official announcement, Huobi HTX will host a themed live stream today at 20:00 titled "Ceasefire Ends, Oil Price Surges Past 75, STRATEGY Sells Coins at Loss for First Time: Can BTC's Macro Narrative Still Hold?" During the event, crypto KOLs such as HuaBai Blockchain, Sincere Little Taoist, Crypto.0824, and OxPink will gather in the live stream room to conduct in-depth discussions on recent market hotspots such as the fluctuating situation in the Middle East and the strong upward trend in international oil prices, and combine Federal Reserve policy expectations to analyze BTC's future trend as well as crypto asset allocation opportunities and risk management strategies, providing investors with multi-dimensional market observations and trading ideas.
WEEX Exchange has officially launched the “Crypto-Stock Ecosystem Trading Zone” campaign. Users can participate in the distribution of a generous $100,000 USDT prize pool by trading any of the designated crypto-stocks: DELLON, NOKON, GLWON, LITEON, CBRSON, UMCON, AMKRON, and AAOION. This campaign aims to help users capitalize on trending U.S. stock market opportunities and seize the benefits of the AI ecosystem. The designated crypto-stocks cover popular sectors including globally renowned semiconductor foundry services, AI chip packaging, and optical communication services. Campaign Period: June 23, 21:30 – July 3, 21:30 (UTC+8).
“White-Haired Stock God” Serenity stated that technical analysis is primarily a tool for observing market sentiment and trading behavior, and is unreliable for accurately predicting a stock’s true upside potential. He believes the core drivers behind hot sectors such as AI and semiconductors remain fundamentals, industry catalysts, and earnings expectations.