Indepth Research

Provide in-depth research reports and independent analysis, leveraging data, technology, and economic insights to deliver a comprehensive examination of the blockchain ecosystem, project potential, and market trends.

The Boundaries and Channels of Finance: The New Pricing Logic of Global Markets

The article "Financial Boundaries and Channels: The New Pricing Logic of Global Markets" explores the evolving relationship between traditional finance and decentralized finance (DeFi), focusing on the growing interest of asset management giants like BlackRock and Apollo in on-chain vaults and RWA (Real World Assets). It argues that while DeFi has adopted USDT/USDC as de facto standards due to their scale, this reliance on U.S. Treasury-backed stablecoins means DeFi is subject to external monetary policies without reciprocal influence. The piece highlights the absence of a native DeFi risk-free rate and examines past attempts, like algorithmic stablecoins, which failed to challenge this dominance. The author suggests that vaults and curators may become central to a new financial architecture, facilitating global capital flow and efficiency. However, these structures currently lack mechanisms for asset price inflation and face risks from code vulnerabilities and governance issues. The future may lie in broker-like channels that enhance capital fluidity beyond centralized exchanges, potentially leading to a more integrated and efficient global market system. Ultimately, the article concludes that while DeFi infrastructure matures, the real innovation opportunity resides in creating channels that enable seamless, scalable capital interaction, moving beyond traditional token economics.

比推03/11 06:44

The Boundaries and Channels of Finance: The New Pricing Logic of Global Markets

比推03/11 06:44

Crypto Barbarians: The Jupiter System Still Owes the Market an Answer

The article "Encryption Barbarians: The Jupiter System Still Owes the Market an Answer" investigates the controversies surrounding the Jupiter ecosystem, particularly its affiliated projects Meteora and the founders Meow and Ben Chow, originally from the Mercurial Finance project backed by Alameda Research and FTX. After FTX's collapse, the team split into Jupiter (focused on liquidity aggregation) and Meteora (focused on dynamic market making), creating a vertically integrated ecosystem that controls everything from fiat on-ramps (via Moonshot acquisition) to trading and liquidity. This closed-loop system, while efficient, has been repeatedly accused of exploiting information asymmetry. Key controversies include: - Suspicious MET token airdrop distribution in October 2025, where a few wallets received disproportionately large allocations and showed patterns of coordinated dumping. - Suspected insider trading ahead of MET's listing on Upbit in November 2025. - The LIBRA token scandal in February 2025, where Meteora was accused of supporting a token that crashed after reaching a $4.6B market cap, causing $280M in losses. Ben Chow resigned and appointed law firm Fenwick & West (already under scrutiny for its work with FTX) for an independent investigation, which further damaged trust. While on-chain detective ZachXBT's recent report cleared Meteora in the Axiom Exchange insider trading case, the ecosystem remains under a cloud of suspicion over its centralized control, lack of transparency, and repeated patterns of operating in regulatory gray areas. The article concludes that the market is still waiting for real accountability from the Jupiter system.

marsbit03/11 05:49

Crypto Barbarians: The Jupiter System Still Owes the Market an Answer

marsbit03/11 05:49

How to Deal with Trump? Here's the 'Deal-Maker's Playbook'

The Kobeissi Letter outlines a consistent 10-step "conflict playbook" used by former President Trump in geopolitical and trade disputes, from Iran to tariffs. It begins with verbal pressure and strategic posturing, often followed by "Friday night surprise" actions to allow market digestion. Markets initially bet on quick deals, but Trump’s "forever war" rhetoric reverses optimism, forcing repricing. A conditional de-escalation signal (like Trump’s recent Iran comments) emerges when structural market stress (oil >$90, stocks down 5%) or political costs mount. Eventually, deals are struck, triggering violent market reversals due to defensive positioning. Three scenarios are projected for the next 2-4 weeks, all pointing to an eventual agreement—Trump’s conflicts consistently end with deals, not prolonged war.

marsbit03/11 02:09

How to Deal with Trump? Here's the 'Deal-Maker's Playbook'

marsbit03/11 02:09

Assessing Bitmine’s 5,300 Ethereum transfer amid ETF outflows

Bitmine Immersion Technologies, led by Tom Lee, transferred 5,300 ETH (worth $10.75 million) to a Coinbase Prime address on March 10, a notable move given the company’s aggressive accumulation strategy. While this may suggest a temporary adjustment, the transfer could also relate to operational needs like OTC trading or liquidity management rather than a strategic shift. The action coincides with a 9.64% drop in Bitmine’s stock and ETF outflows, yet corporate Ethereum holdings have grown significantly since mid-2025, exceeding 6 million ETH. Bitmine stakes roughly two-thirds of its 4.5 million ETH holdings, generating substantial annual revenue, reflecting long-term confidence in Ethereum as income-generating infrastructure.

ambcrypto03/10 23:03

Assessing Bitmine’s 5,300 Ethereum transfer amid ETF outflows

ambcrypto03/10 23:03

The Limits of Finance, The Channel Value of Global Markets

This article explores the evolving relationship between traditional finance and decentralized finance (DeFi), focusing on the growing institutional interest in on-chain vaults and real-world assets (RWA). While major asset managers like BlackRock and Apollo are investing heavily in DeFi tokens, the sector faces challenges, including liquidity crises and structural limitations. A central theme is the absence of a native DeFi risk-free interest rate. Despite multiple attempts—from algorithmic stablecoins to liquidity staking tokens—DeFi has largely adopted USDT and USDC for their scale, effectively making U.S. Treasury bonds the de facto benchmark. However, this dependency creates vulnerability, as DeFi cannot interact bidirectionally with traditional finance. The article argues that the next phase of DeFi will revolve around vaults—on-chain repositories that aggregate assets and yield. These vaults, managed by "curators," aim to offer fixed-rate products and credit systems but currently lack mechanisms for asset price inflation and clear risk management. The piece concludes that while vaults and curators are gaining traction, the true innovation lies in creating efficient "channels" or broker-like systems that enhance global capital flow. These could eventually replace centralized exchanges as the primary liquidity hubs, enabling a more integrated and efficient financial system without relying on traditional tokenomics.

marsbit03/10 13:23

The Limits of Finance, The Channel Value of Global Markets

marsbit03/10 13:23

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.

marsbit03/10 11:26

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

marsbit03/10 11:26

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.

marsbit03/10 10:41

From Understanding Skill to Learning How to Build Crypto Research Skill

marsbit03/10 10:41

RWA Weekly Report｜Representative Assets Drop Nearly 14%; Stablecoin Market Cap Reclaims $300 Billion (Mar 4 - Mar 10)

RWA Weekly Report: Representative Assets Drop Nearly 14%; Stablecoin Market Cap Reclaims $300B (Mar 4-10) The total on-chain value of RWA assets increased slightly by 0.8% to $26.43B, though growth slowed compared to previous weeks. In contrast, the value of representative assets fell by 13.9%, dropping about $54B to $336.08B. User adoption showed mild recovery, with total holders rising 1.18% to 665.3K. The stablecoin market cap rebounded by 0.85% to over $301B, led by USDT ($195.15B) and USDC ($796.47B). Structurally, U.S. Treasuries remained the core RWA asset, growing to $11B, while commodities and private credit saw slight declines. Key developments include U.S. regulatory debates around the CLARITY Act and stablecoin taxation, the NYSE’s parent company ICE investing in OKX at a $25B valuation, and new stablecoin regulations advancing in Florida and South Korea. Ondo Finance integrated tokenized stocks as collateral in DeFi via Chainlink, and MSX launched a Pre-IPO investment section. Overall, the RWA market is consolidating with a shift toward higher certainty assets like Treasuries and gradual risk appetite expansion into corporate bonds and alternative funds.

Odaily星球日报03/10 10:26

RWA Weekly Report｜Representative Assets Drop Nearly 14%; Stablecoin Market Cap Reclaims $300 Billion (Mar 4 - Mar 10)

Odaily星球日报03/10 10:26

Your AI Anxiety Is Being Harvested

The article critiques the excessive hype and anxiety surrounding AI, arguing that much of the online discourse is a form of fear-based marketing designed to harvest attention and engagement. It points out that blindly copying others' AI setups—like popular coding configurations—is ineffective because these are tailored to specific needs and contexts, not universal solutions. The author warns against over-reliance on AI, noting that it can erode independent thinking and core human skills like judgment, creativity, and time management. Citing data from Fortune, Goldman Sachs, and academic studies, the article reveals that many companies report no actual productivity gains from AI adoption; instead, it often intensifies workloads and leads to burnout. The key takeaway is to use AI strategically for repetitive tasks while preserving human strengths for critical thinking and decision-making. True success lies not in using AI everywhere, but in knowing when not to use it.

marsbit03/10 08:39