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.

Strategy Watch #4

Strategy Watch #4 provides a monthly institutional analysis of digital asset fund performance and allocation trends. The report covers six sections. Key findings for April show mixed capital flows: Bitcoin outflows eased significantly, nearing neutral, while stablecoin inflows surged to multi-month highs, indicating a defensive rotation into dollar instruments. Ethereum remained in persistent net outflow. ETF and DAT flows were positive for Bitcoin, while Ethereum flows staged a notable late-month reversal from deep outflows to meaningful inflows. However, DeFi TVL on Ethereum reversed its March stabilization, with accelerated outflows suggesting sustained allocator caution toward on-chain yield strategies. CME basis yields for both BTC and ETH deteriorated sharply, turning deeply negative as futures moved into backwardation, removing carry opportunities. Across strategies, all sub-strategies posted gains for the month, a rare alignment. Despite a more constructive market backdrop, manager cash levels climbed to multi-year highs, indicating selective and cautious positioning. The report also includes a DeFi/Yield strategy deep dive, on-chain vault performance analysis, and updates on institutional allocations, including rising pension fund activity.

insights.glassnode1 ч. назад

Strategy Watch #4

insights.glassnode1 ч. назад

The Underlying Logic of Bottleneck Propagation in the AI Computing Power Industry Chain

The article analyzes the evolving bottleneck progression within the AI compute supply chain. Initially constrained by GPU chip and advanced packaging capacity (2022-2024), the primary bottleneck shifted to HBM memory (2024-2025) due to massive model parameter growth. As cluster scale expands, physical limits of copper interconnects are making optical interconnect technologies the next critical phase (2025-2026). The ultimate, emerging constraint is power delivery and advanced liquid cooling (from 2026 onward), driven by skyrocketing rack power densities exceeding traditional infrastructure limits. The core thesis is that AI compute demand follows a "Leontief" production function where solving one bottleneck immediately exposes the next in the sequence: Compute (GPU) → Memory (HBM) → Interconnect (Optics) → Power & Cooling. Each shift reallocates value and investment across the semiconductor and infrastructure landscape.

marsbit4 ч. назад

The Underlying Logic of Bottleneck Propagation in the AI Computing Power Industry Chain

marsbit4 ч. назад

A Comprehensive Analysis of On-Chain Pre-IPO: Why is the Pricing Power of SpaceX and OpenAI Moving On-Chain?

This podcast episode explores the rise of on-chain pre-IPO price discovery and trading, focusing on companies like SpaceX, OpenAI, and Anthropic. Key trends include the recent launch of a SpaceX pre-IPO perpetual contract on Hyperliquid, the secondary market trading of AI company shares, and a new partnership between Nasdaq Private Market and Polymarket. Dio Casares explains why AI companies like OpenAI and Anthropic actively deny the legitimacy of secondary trades. Primary reasons are to protect their primary funding rounds (as secondary trades don't provide cash to the company) and to avoid complex legal and administrative responsibilities associated with settling these transactions. He argues that on-chain **derivatives** (like perpetuals) are a more viable solution than **tokenized spot markets**, as they better navigate U.S. regulatory holding period requirements, provide effective hedging, and avoid antagonizing the companies themselves by competing with their primary raises. The discussion covers the risks and methods of gaining pre-IPO exposure, from direct investments and SPVs to riskier, layered structures that can lead to legal complications and settlement issues. Casares also maps the landscape of key players, differentiating between traditional secondary brokers (like Forge, Hiive, and Setter) and on-chain derivatives protocols (like Trade.xyz/Ventuals on Hyperliquid) and tokenization platforms (often on Solana). He positions Patagon as a facilitator for access to private market deals but clarifies it avoids on-chain tokenization to maintain good relations with portfolio companies. Looking ahead, the convergence of a historic IPO pipeline (with potential trillion-dollar valuations), the 24/7 nature of crypto markets, and the strategic use of pre-market perpetuals as a "loss leader" suggest continued growth and competition in the on-chain pre-IPO space.

marsbit6 ч. назад

A Comprehensive Analysis of On-Chain Pre-IPO: Why is the Pricing Power of SpaceX and OpenAI Moving On-Chain?

marsbit6 ч. назад

Blockchain Capital Partner: The Structure of On-Chain Two-Tier Capital Is Still in the Early Stages of Value Discovery

Spencer Bogart, a general partner at Blockchain Capital, argues that the on-chain economy possesses unique features like programmability, composability, and global distribution, fostering an open and fast-paced innovation ecosystem. However, these very features create challenges for large, fiduciarily-responsible institutional capital, which requires robust risk assessment frameworks often difficult in a permissionless and adversarial environment. The proposed solution is the emergence of a two-tiered capital structure. The first, permissionless layer remains the crucible for innovation, where protocols are built, tested, and hardened with real capital. The second, "institutional" layer consists of chains (L1s, L2s, etc.) that, while based on similar code, incorporate risk-management features like the ability to pause or freeze transactions in extreme scenarios, making them suitable for large-scale institutional deployment. The synergy between these layers is key. Protocols proven resilient in the open, permissionless environment can then scale to the institutional layer, accessing deeper capital pools. This creates a lifecycle: build and launch permissionlessly, test and prove robustness publicly, then expand to an institutional-grade chain for scaled adoption. This architecture allows the open, experimental side to continue driving innovation with crypto-native capital, while the institutional layer provides the liquidity, stability, and trust required for mainstream adoption. The major challenge identified is the "cold start" problem: aligning where institutional capital prefers to go with where the most proven applications and network effects currently reside. How this dynamic resolves—whether through protocol migration, new protocol builds, or institutional adaptation—will be crucial to watch. Overall, this evolving structure aims to combine the strengths of open innovation and institutional depth within a shared on-chain ecosystem.

链捕手10 ч. назад

Blockchain Capital Partner: The Structure of On-Chain Two-Tier Capital Is Still in the Early Stages of Value Discovery

链捕手10 ч. назад

21Shares Report: HYPE's P/S Ratio Only Half That of CME, Bull Market Target Price $70

21Shares Research Report: HYPE's P/S Ratio Half of CME's, Bullish Target $70 A recent report from 21Shares highlights Hyperliquid's evolution from a crypto derivatives DEX into a 24/7 "everything exchange" for perpetual contracts across various asset classes. The platform gained prominence during a February geopolitical incident when it provided real-time price discovery for WTI crude oil while traditional markets like CME were closed. Non-digital assets now account for approximately 35% of its volume, with traditional commodities and indices featuring among its top-traded assets. Hyperliquid's business model is rapidly diversifying, significantly reducing its dependence on crypto market cycles. Its cumulative trading volume and revenue are approaching levels comparable to CME Group's crypto derivatives segment. A key feature is its Assistance Fund, which directs 97%-99% of protocol fees to automated HYPE token buybacks, creating a deflationary mechanism with an implied buyback yield significantly higher than CME's traditional share repurchase program. Despite strong fundamentals, HYPE currently trades at a Price-to-Revenue (P/R) ratio of ~10x, roughly half of CME's ~17x. The report outlines valuation scenarios: a bullish case targets $62-$70 based on annualized revenue reaching $12-$15B and applying CME's P/R multiple. A bear case considers $15-$19 if growth slows. Key risks include platform centralization during crises, regulatory uncertainty for on-chain commodities, dependence on geopolitical volatility for non-crypto volume, and the need for sustained high trading volume to offset token unlocks. The analysis concludes that HYPE is increasingly being valued as a legitimate exchange business rather than a speculative crypto asset.

marsbit10 ч. назад

21Shares Report: HYPE's P/S Ratio Only Half That of CME, Bull Market Target Price $70

marsbit10 ч. назад

An 80s-born Tianjin native is about to become the first person to go to Mars

Tianjin-born Chun Wang, an avid traveler and cryptocurrency pioneer, is set to make history as the first person to journey to Mars. Born in 1982, Wang's passion for exploration began in childhood. After co-founding the major cryptocurrency mining pool F2Pool in 2013, he amassed significant wealth, which fueled his global adventures, including reaching both the North and South Poles. Feeling Earth held no new frontiers, Wang turned to space. In 2025, he commanded the privately-funded "Fram2" mission, flying a Crew Dragon spacecraft on a pioneering polar orbit to photograph Earth's poles from space for the first time. Now, SpaceX has announced Wang's next ambitious plans: a week-long commercial lunar flyby mission, followed by a groundbreaking two-year crewed mission to Mars and back—marking humanity's first interplanetary human spaceflight. Wang continues his lifelong pursuit of pushing boundaries into the final frontier.

marsbit12 ч. назад

An 80s-born Tianjin native is about to become the first person to go to Mars

marsbit12 ч. назад

From Token Explosion to Physical Bottlenecks: The Storage Bull Market Driven by Agentic AI

**From Token Explosion to Physical Bottlenecks: The Agentic AI-Driven Storage Bull Market** The AI semiconductor narrative is shifting from training to inference, which now accounts for 66% of AI compute. In the inference "Decode" phase (autoregressive token generation), GPU performance is bottlenecked by memory bandwidth and capacity, not raw compute (FLOPS). The key constraints are **HBM (High Bandwidth Memory) bandwidth** (determining token generation speed) and **HBM capacity** (determining how many requests/models can be served simultaneously). This creates a core economics equation: Token cost is proportional to (GPU + power cost) divided by Tokens/sec, which is fundamentally limited by HBM specs. This drives unprecedented demand for advanced storage. **HBM**, a 3D-stacked DRAM, is critical for AI accelerators. Its complex production consumes 3-4x more wafer capacity than standard DRAM, squeezing supply for traditional memory (DDR) and causing severe shortages. **HBF (High Bandwidth Flash)**, an emerging high-bandwidth NAND, aims to bridge the gap between HBM speed and SSD capacity for AI model weights. The market is experiencing a historic, structurally driven super-cycle. Demand is fueled by a triple engine: 1) AI training (parameter arms race), 2) AI inference explosion (especially Agentic AI with long contexts), and 3) general data center expansion. Supply is constrained by the HBM产能挤压 effect and the 2-3 year lead time for new fab capacity. Analysts project a DRAM supply deficit of ~5% in 2026. Inventory across the supply chain is at historically low levels, with OEMs securing long-term agreements (LTAs) locking in future supply. Current indicators (Q2 2026) suggest the cycle is in its mid-phase, not peaking. While spot prices have corrected from highs, contract prices are forecast to rise sharply (e.g., +70-75% QoQ for NAND). Capacity utilization remains high, and inventory days are still low. The cycle is expected to peak around mid-2027. The storage landscape is stratified, with key players in HBM (SK Hynix, Samsung, Micron), NAND/SSD/HBF (Samsung, Kioxia/WD, SanDisk), and NOR Flash (Winbond, GigaDevice) well-positioned for this AI-driven era.

marsbit12 ч. назад

From Token Explosion to Physical Bottlenecks: The Storage Bull Market Driven by Agentic AI

marsbit12 ч. назад

Rejecting Nvidia's Offer at $6 Per Share, He Says He Can Earn More Trading Stocks

A mysterious X user known as Serenity (@aleabitoreddit) has become a significant influence in financial markets, with over 150,000 followers across three continents tracking his stock picks. His recent endorsement of UK hardware company Raspberry Pi ($RPI) triggered an approximate 90% surge in its stock price over two days, later validated by strong earnings that matched his forecasts. Previously banned from Reddit's r/wallstreetbets for a controversial post, Serenity moved to X. He claims to be a former AI research scientist who declined a job offer from Nvidia when its stock was around $6. His identity and reported investment returns (e.g., 630% in one year) remain unverified. Serenity's strategy focuses on identifying "chokepoints"—critical, often overlooked components in complex supply chains, like the indium phosphide substrates for AI datacenter optics. His calls on small-cap stocks such as AXTI and Sivers Semiconductors (SIVE) have preceded major price rallies driven by events like export controls or strategic partnerships. While his free, public research differs from typical financial influencers who sell courses, the anonymous, self-reported nature of his success warrants caution. He represents a new phenomenon where detailed, niche analysis can move markets, but his track record lacks independent audit.

marsbit13 ч. назад

Rejecting Nvidia's Offer at $6 Per Share, He Says He Can Earn More Trading Stocks

marsbit13 ч. назад

Will Warsh Compromise with Trump? A Look at the 70-Year Power Struggle Between the President and the Fed

Will the Fed's new chair, Kevin Warsh, yield to pressure from President Trump? A White House-administered oath ceremony for Warsh breaks recent precedent, spotlighting a seven-decade power struggle between the presidency and the Federal Reserve. Historically, each Fed chair has balanced political pressure with policy independence. Warsh's situation, however, is uniquely complex, inheriting a divided Federal Open Market Committee (FOMC) with some members opposing even hints of rate cuts, while Trump expects easing. The report from Caitong Securities reviews this history: from William Martin establishing independence, to Arthur Burns compromising under Nixon, Paul Volcker building institutional credibility, Alan Greenspan navigating political waters, and Jerome Powell facing severe pressure from Trump, ultimately hardening the Fed's defensive stance. Warsh, a former Fed governor known for questioning quantitative easing, is not a traditional dove. His recent statements emphasize a nuanced view of Fed independence, skepticism of forward guidance, serious concern over inflation (contradicting Trump's "fake inflation" claims), and the potential for AI-driven productivity gains to allow rate cuts. The analysis concludes Warsh's policy will likely feature a clear direction but cautious pace. Rate cuts are probable but constrained by persistent inflation above target; if Trump pressures heavily, Warsh may delay cuts to defend Fed independence. Balance sheet reduction is seen as necessary but will be gradual to avoid premature conflict. Ultimately, Warsh's path will depend more on macroeconomic trends—inflation, growth, oil prices—than on his personal stance or the immediate political relationship.

marsbit14 ч. назад

Will Warsh Compromise with Trump? A Look at the 70-Year Power Struggle Between the President and the Fed

marsbit14 ч. назад

Musk's 'One-Man Dynasty' Set to Ring the Bell on June 12th

SpaceX Files for IPO, Targets Up to $2 Trillion Valuation SpaceX has officially filed for an initial public offering (IPO) with the U.S. SEC, planning to list on Nasdaq under the ticker "SPCX" on June 12. The company aims to raise $70-$80 billion, targeting a historic valuation between $1.75 and $2 trillion. Despite going public, founder Elon Musk will retain approximately 85% of the voting power through a dual-class share structure, maintaining absolute control. The S-1 filing reveals a company with sharply contrasting financial segments. In 2025, SpaceX reported $18.67 billion in revenue but a net loss of $4.94 billion. The loss was primarily driven by its AI unit, xAI, which burned $6.4 billion. In contrast, the Starlink satellite internet business was highly profitable, generating $11.4 billion in revenue and $4.4 billion in operating profit with an impressive 63% EBITDA margin. Starlink's user base grew to 10.3 million by Q1 2026, though average revenue per user has been declining. A key driver of the sky-high valuation is the recent $1.25 trillion merger with xAI, which added an AI narrative to the core aerospace business. SpaceX plans futuristic ventures like orbital AI data centers and space mining, though these are not yet revenue-generating. The company's capital expenditures are massive, exceeding $20.7 billion in 2025, with AI spending surpassing that of space operations. The IPO, led by Goldman Sachs, has drawn both enthusiasm and skepticism from Wall Street. While some hail it as a generational investment opportunity, others question the steep valuation multiples and the sustainability of funding xAI's significant losses with Starlink's profits. The listing represents a major test of market faith in Musk's long-term vision and his unique model of centralized control.

marsbit14 ч. назад

Musk's 'One-Man Dynasty' Set to Ring the Bell on June 12th

marsbit14 ч. назад

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