Ocean Protocol jumps 27% in the past day, what’s behind the rise?

cryptoslatePubblicato 2022-03-22Pubblicato ultima volta 2022-03-22

Introduzione

Ocean Protocol, an open-source protocol that aims to allow individuals and businesses to exchange and monetize data, has seen a dramatic climb in support in the last number of days.

Ocean Protocol, an open-source protocol that aims to allow individuals and businesses to exchange and monetize data, has seen a dramatic climb in support in the last number of days. Its token Ocean has gained 27% in 24 hours and is up 39% in the last 7 days. So what is the main driver of this demand?

Since February, the team at Ocean Protocol has been steadily making announcements about their roadmap, partnerships, and grants program. In their 2022 update, they outlined some of the ambitious plans for the year, including the release of Ocean V4 which data tokens will be available for public testing in Q1 2022.

They have plans to release some very interesting features with V3, including: solving rug pulls, Data NFTs, Data farming and expansion of the Ocean DAO and ecosystem. The data NFTs will provide an IP framework that combines ERC20 and ERC721 and potentially enables multiple revenue streams against the base IP, with different sub-licenses.

Supporting ecosystem growth

Ocean Protocol was founded in 2017 by Bruce Pon and AI researcher Trent McConaghy. Its software is built to facilitate data exchange, making data sets easily accessible to startups and researchers. It also links users who need data or do not have resources to store it. The OCEAN token is designed to be multipurpose and is used to validate the best data tokens and to allow users to both participate in governance and buy and sell data. 

Algovera is a community of people globally working to accelerate the development of decentralized AI products and using Ocean Protocol grants to build a unique ecosystem, “I was pursuing traditional commercialization funding for an AI startup for 18+ months with slow progress. I started exploring alternatives and came across the Ocean Protocol ecosystem. I joined weekly town hall meetings, met with builders, and experienced my first taste of a Web3 community. Within 2 months, I had written and been awarded my first grant and finally kickstarted my project. I quit my job and haven’t looked back.” says Richard Blyhman, Founder of Algovera. 

Data is a growing area of interest

Three central things happened recently that are contributing significantly to the rise in Ocean’s popularity. Firstly, the much-anticipated launch of Version 4 of their protocol which is going to propel data management into monetizable funnels like never before. The second is that they recently opened calls for Round 16 of their grants program with 200,000 OCEAN up for grabs and just this week they have announced their premier sponsorship of Binance blockchain week, demonstrating public support for their ecosystem and the projects being developed within it.  

Also, at Cryptoslate analytics a spike in positive Twitter sentiment was detected for Ocean Protocol this week which further verifies the positive performance of the token.

Taking a closer look at the macro trend in this space and dissecting it with Cryptoslate data, readers will note that AI tokens overall have risen by 10% in the last 7 days. According to Cryptoslate data, the world of AI and Blockchain is heating up with a number of projects coming into the scene and driving awareness of different use cases for artificial intelligence in the world of blockchain.

Blockchains are designed to help trace and verify transactions. These transactions are loaded with data. As more of the world’s leading industries and brands adopt blockchain into their business models, harnessing the power of data will be of utmost importance, and ensuring the quality of that data will be a key function of the blockchain industry in the future. Ocean protocol has already developed a foundation within the data landscape and consistently supports data-led initiatives that use blockchain technologies to bring added value to layers of untapped, open-source data. They are recognized for maintaining support for the projects using their ecosystem and have earmarked 140M USD for grants within the OceanDAO.

Letture associate

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Tencent's stock surged over 10% on June 2nd amid reports that WeChat, with 1.43 billion monthly users, is finalizing tests for a native AI Agent. The reported feature, accessible by swiping right from the main interface, allows users to issue commands in natural language. The AI then decomposes tasks and automatically calls upon relevant Mini Programs within WeChat to complete actions like ordering food, booking tickets, or making payments, creating a closed-loop service execution system. This strategic shift follows the internal conflict and subsequent "blocking" of Tencent's standalone AI app, Yuanbao, by WeChat for violating sharing rules during a 2026 Spring Festival promotion. The incident highlighted a lack of internal consensus and exposed the weakness of competing in the standalone AI assistant arena against rivals like ByteDance's Doubao (345M MAU) and Alibaba's Qianwen. The new WeChat AI Agent aims to leverage WeChat's unique assets—its massive user base, standardized Mini Program APIs, WeChat Pay, and identity system—to move from simple content generation to actual task execution. Analysts note this changes the competitive landscape from model benchmarks to which AI can connect to more real-world services. However, success depends on key variables: the capability of Tencent's underlying Hunyuan model, managing massive inference costs, and redesigning incentives for Mini Program developers whose traffic might be bypassed. The move is seen as an attempt to keep user service intent within WeChat's ecosystem as AI begins to redefine how users access services.

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**Summary:** At Computex 2026, Arm CEO Rene Haas announced that ByteDance and Oracle have adopted Arm's self-designed Arm AGI data center CPU. The company expects significant revenue growth from this product, projecting $20 billion in demand for the 2027/2028 fiscal years. Haas noted that restricting AI-capable CPUs from the US to China is nearly impossible due to their widespread applications. Arm's stock has surged dramatically this year, notably rising 16% after NVIDIA's Arm-based Vera CPU and RTX Spark announcements. A highlight was the informal, humorous on-stage conversation between Haas and NVIDIA CEO Jensen Huang. Huang joked about NVIDIA's failed attempt to acquire Arm and playfully lamented selling his Arm shares. Both executives showed a clear sense of camaraderie and shared regret over the missed merger. Key technical topics were discussed: 1. **AI PC Design:** Huang explained NVIDIA's RTX Spark superchip (with a 20-core Arm CPU) is designed for future AI agents that will autonomously run and use tools on PCs, blending local and cloud processing. 2. **Agent vs. OS:** Huang emphasized the operating system remains crucial, as AI agents rely on its APIs and tools to function. 3. **Growth Constraints:** He identified the shift to "useful AI" that generates profitable tokens as a primary driver for immense, almost limitless, computational demand. Haas outlined Arm's strategy across PC and data centers. For PCs, Arm collaborates with partners like NVIDIA and MediaTek, offering its compute subsystem (CSS) for custom SoCs. In data centers, its Arm AGI CPU (built on TSMC's 3nm process) has gained major partners including OpenAI, Meta, and now ByteDance and Oracle. Arm presented a multi-year roadmap for its in-house CPU line. The article concludes that while GPUs dominated the AI training race, the explosion of AI agents is shifting significant focus to CPUs for inference, state management, and tool orchestration. The industry is trending towards vertical integration, with companies like cloud providers designing chips and chip/IP firms offering full solutions, all competing to deliver more efficient computing per watt.

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New Wall Street Play: Yen Shorts Still Adding, But Japan Stocks Don't Rely on Carry Trade Unwinding

On June 3rd, USD/JPY hit 160.44, its highest level since July 2024, while the Nikkei 225 surged past 68,000 points. Contrary to popular narratives of an imminent "carry trade unwind" akin to August 2024, data reveals a more complex picture. Speculative net short positions in yen futures have actually increased, reaching -114,667 contracts by late May, suggesting traders are doubling down rather than retreating. Meanwhile, Japan's Finance Ministry conducted its largest-ever single-round FX intervention (11.73 trillion yen) in April-May but failed to hold the 160 yen line. The Nikkei's rally is not driven by carry trade dynamics. Foreign investors are aggressively buying Japanese stocks, with net purchases in 2026 running nearly 16 times higher than 2025 levels. This inflow is concentrated in AI and semiconductor-related stocks like SoftBank and Socionext, fueled by positive sector outlooks, rather than being a flight from unwinding yen shorts. Furthermore, the Nikkei has continued climbing despite the Bank of Japan's (BOJ) rate hikes to 0.75%. This disconnect exists because the current equity boom is fueled by AI-driven foreign investment, not reliant on cheap yen funding. However, this relationship remains fragile. Should the BOJ hike rates further (e.g., to 1.0%) while dollar weakness increases carry trade costs, the trajectories of the yen and Japanese stocks could reconverge, potentially triggering volatility.

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Broadcom's Q3 Guidance Misses Expectations by $12 Billion, After-Hours Trading Plummets Over 13%, AI Narrative "Cooling"?

On June 3, Broadcom released record Q2 FY26 results with revenue of $22.19B, up 48% YoY, and AI chip sales of $10.8B, up 143%. Adjusted EPS of $2.44 beat estimates. However, its Q3 AI semiconductor revenue guidance of $16B, while up over 200% YoY, fell roughly $1.2B (7%) short of analyst consensus expectations of $17.2B. This miss, coupled with slightly weaker-than-expected software revenue, triggered a severe market reaction. CEO Hock Tan maintained the FY26 AI revenue outlook of over $100B but did not raise it, disappointing investors who had priced in more robust growth. The stock plummeted over 13% in after-hours trading, erasing roughly $270B in market cap. The sell-off extended to peers like Marvell. A key concern for markets, particularly for Chinese optical module suppliers, was Tan's comment that the contribution of AI networking (e.g., Ethernet switches, optical interconnect chips) to AI revenue, currently near 40%, is expected to normalize to around 30% over time, signaling a potential peak in growth for that segment. Despite the guidance shortfall, Tan reiterated that AI demand remains "insatiable" and reaffirmed the long-term target of exceeding $100B in AI revenue by FY27. The reaction highlights the heightened sensitivity and premium valuation placed on AI-exposed stocks, where anything less than stellar guidance can prompt significant profit-taking. The broader question is whether this represents a cooling AI narrative or a correction in overstretched valuations.

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