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IOSG: A Panoramic View of On-Chain Yields, from Yield-Bearing Stablecoins to the Evolution of Crypto Credit Products

IOSG Research analyzes the on-chain yield landscape, highlighting the growing preference for yield-bearing stablecoins and fixed-income products during bear markets. While bull markets drive TVL growth across all yield products, bear markets see capital shift toward lower-risk, stablecoin-based options. Key trends include protocols expanding into front-end (wallets, mobile interfaces) and back-end services (stablecoin-as-a-service for L1/L2 chains). Anticipated U.S. interest rate cuts may reduce Treasury yields, pushing yield-bearing stablecoins to diversify into alternative real-world assets (RWA) like private credit and GPU financing. The report also notes institutional adoption through end-to-end staking services and crypto-native credit products (e.g., preferred shares), which function as crypto equivalents to Treasury bonds, offering stable yields from DeFi and staking revenues. Exclusive yield sources and transparent revenue-sharing models are becoming crucial differentiators.

marsbit2 dk önce

IOSG: A Panoramic View of On-Chain Yields, from Yield-Bearing Stablecoins to the Evolution of Crypto Credit Products

marsbit2 dk önce

Whale Already Holding Long Position Buys ETH, Price Spike?

A crypto whale has spent $21 million in USDT to purchase 10,158 ETH, while another whale withdrew 404.38 BTC from exchanges after a 9-month dormancy. These actions have sparked speculation about potential price increases. Both cryptocurrencies have shown recent gains, with BTC trading around $70,925 and ETH at $2,064. Technical indicators suggest a buy signal for BTC, while ETH shows mixed signals. Price projections are bullish: BTC may reach $78,840 in one month, and ETH is predicted to rise to $2,345.80 in 30 days and potentially $3,896.54 in three months. Investors are advised to conduct thorough research before investing.

TheNewsCrypto10 dk önce

Whale Already Holding Long Position Buys ETH, Price Spike?

TheNewsCrypto10 dk önce

US prosecutors request new trial for Tornado Cash co-founder Roman Storm

U.S. prosecutors are seeking a retrial for Tornado Cash co-founder Roman Storm on charges of money laundering conspiracy and sanctions violations after a previous jury failed to reach a unanimous verdict on those counts. Although Storm was convicted of operating an unlicensed money-transmitting business, the unresolved charges allow for a new trial. Prosecutors proposed a retrial as early as October, while Storm’s defense suggested availability no sooner than 2026. The case is closely watched in the crypto industry, as it could set a precedent for the legal liability of developers working on decentralized financial software and open-source protocols.

TheNewsCrypto38 dk önce

US prosecutors request new trial for Tornado Cash co-founder Roman Storm

TheNewsCrypto38 dk önce

CEO Responds to Crisis with Jokes, AI Entrepreneurs Steal Crypto's Marketing Playbook

CEO Roy Lee of AI startup Cluely turned a potential PR crisis—accusations of inflating revenue figures in a TechCrunch report—into a viral marketing opportunity. Instead of a formal apology, Lee posted a satirical video response where he rapped sarcastically while wearing a suit jacket and no pants, leaning into his controversial persona. Cluely, which began as a tool for cheating in coding interviews and led to Lee’s expulsion from Columbia University, has consistently used controversy and attention as a growth strategy. The company initially promoted itself with the tagline “Cheat on Everything” before pivoting to an AI note-taking assistant. Lee’s approach reflects a broader trend in tech, where capturing attention is seen as a critical competitive advantage. Investors like a16z, which participated in Cluely’s $15 million Series A, endorse this model, arguing that in an era of commoditized AI capabilities, virality and narrative can serve as a moat. This strategy mirrors tactics long used in crypto, where memes and drama often drive engagement and growth.

marsbit43 dk önce

CEO Responds to Crisis with Jokes, AI Entrepreneurs Steal Crypto's Marketing Playbook

marsbit43 dk önce

From Understanding Skill to Learning How to Build Crypto Research Skill

This article explores the evolution and application of Agent Skill, a modular framework introduced by Anthropic in late 2025, which has become a foundational design pattern in the AI Agent ecosystem. Initially a tool to improve Claude's performance on specific tasks, it evolved into an open standard due to high developer adoption. Agent Skill functions like a "dynamic instruction manual" that AI can reference to perform tasks consistently without repetitive user prompting. It is built using a `skill.md` file containing metadata (name and description) and detailed instructions. The system operates through an on-demand loading workflow: the AI first scans lightweight skill metadata, matches the user's intent, then loads only the relevant skill's full instructions, optimizing token usage. Two advanced mechanisms enhance its functionality: - **Reference**: Conditionally loads external documents (e.g., a finance handbook) only when triggered by specific keywords, avoiding unnecessary context consumption. - **Script**: Executes external code (e.g., a Python script) without reading its content, enabling actions like file uploads with zero token cost. The article contrasts Agent Skill with Model Context Protocol (MCP), noting that MCP connects AI to data sources, while Skill defines how to process that data. For advanced use cases like crypto research, combining both is recommended: MCP fetches real-time data (e.g., blockchain info, news APIs), while Skill structures the analysis and output format. A practical example demonstrates building a crypto research agent using an `opennews-mcp` server. The Skill automates workflows like due diligence on new tokens (pulling Twitter data, news sentiment, KOL tracking) and real-time event monitoring (e.g., ZK-proof breakthroughs) to generate structured reports or trading alerts. This combination creates a powerful, automated research system tailored for Web3 analytics.

marsbit47 dk önce

From Understanding Skill to Learning How to Build Crypto Research Skill

marsbit47 dk önce

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