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.

Matrixport Research Report | Re-evaluating the Long-Term Allocation Value of U.S. Stocks: Institutional Dividends, Industry Cycles, and Global Capital Resonance

Matrixport Research Report: Reassessing the Long-Term Allocation Value of U.S. Stocks — Institutional Advantages, Industry Cycle, and Global Capital Resonance The core of U.S. stocks' long-term allocation value lies in the convergence of three key drivers: institutional advantages, the tangible AI industry cycle, and structural increases in global capital allocation—not short-term macro trading. U.S. equities remain a core allocation option for long-term investors, supported by structural strengths. From 2015 to 2025, the Nasdaq Composite significantly outperformed major Chinese tech indices with lower drawdowns, reflecting the benefits of a mature innovation financing ecosystem, corporate cash flow discipline, and the dollar’s global liquidity role. The AI industry is transitioning from infrastructure expansion to application penetration. Real adoption is accelerating, with 78% of organizations reporting AI use in 2024. U.S. AI-related capex nearly doubled from 2019 to 2025, indicating sustained investment cycle rather than speculative hype. Global institutional holdings of U.S. equities rose ~48% from 2023 to 2025, reflecting strategic reallocation—not short-term inflows. This is driven by the market’s depth, regulatory predictability, and concentrated exposure to leading tech and AI assets. While 2026 may see moderate rate cuts and fiscal policy debates, the long-term outlook remains intact. Short-term volatility may offer entry opportunities, given the resilience of structural drivers. In summary, U.S. stocks represent a rare combination of institutional, technological, and capital advantages, reinforcing their role as a long-term core holding.

Matrixport02/12 10:51

Matrixport Research Report | Re-evaluating the Long-Term Allocation Value of U.S. Stocks: Institutional Dividends, Industry Cycles, and Global Capital Resonance

Matrixport02/12 10:51

Bitcoin's Triple Resonance at the Bottom: The Ultimate Direction of Macroeconomics, On-Chain Data, and Miner Economics

Bitcoin is currently undergoing a significant correction, having fallen from its October 2025 all-time high of ~$126,000 to the $60,000-$70,000 range. This report analyzes the potential for a cycle bottom, arguing that traditional "four-year cycle" models are less reliable due to structural shifts like institutional adoption via ETFs and heightened sensitivity to macro liquidity. A multi-factor model identifies a high-confidence structural bottom zone between $52,000 and $58,000. This range represents a triple confluence of key support levels: the 200-week moving average (a historical bull/bear divider), the network's average realized price (the aggregate cost basis of all coins), and the shutdown price for a significant portion of the mining network (particularly Antminer S21 series miners). While a deeper fall to a "physical hard bottom" of ~$44,000 (the shutdown price for the most efficient miners) is possible in a worst-case scenario, it is considered unlikely barring a systemic financial crash. The analysis is set against the "Warsh Shock," a macro event where the new Fed Chair's hawkish stance on quantitative tightening has tightened liquidity, pressuring risk assets like Bitcoin. Despite the price drop, on-chain data shows short-term holders are capitulating, while long-term holders are accumulating. Furthermore, stablecoin reserves remain near all-time highs, indicating significant dry powder is waiting on the sidelines to re-enter the market. The recommended strategy is a pyramidal accumulation approach within the $52k-$58k value zone, with patience advised until macro conditions improve or key on-chain capitulation metrics are met.

marsbit02/12 09:28

Bitcoin's Triple Resonance at the Bottom: The Ultimate Direction of Macroeconomics, On-Chain Data, and Miner Economics

marsbit02/12 09:28

Tokens, Models, and Bubbles: The Crypto × AI Game in the Primary Market

Based on a two-year retrospective, this article analyzes the convergence of Crypto and AI from a primary market perspective. Initially, the crypto space heavily promoted "Crypto Helps AI" through three main narratives: computation power tokenization, data tokenization, and model tokenization. However, these efforts largely resulted in what the author calls a "tokenization illusion"—projects that issued tokens but lacked real product-market fit or sustainable business models. The piece critiques these approaches: decentralized compute networks often fail to meet enterprise reliability standards; tokenized data struggles with supply-demand alignment due to low user motivation and high professional requirements; and model tokenization is fundamentally flawed since AI models are non-scarce, easily replicable, and depreciate quickly. Additionally, projects focusing on verifiable inference (like ZKML or OPML) are solutions in search of a problem, as real-world AI failures are rarely due to malicious tampering but rather design errors or misconfigurations. The author references Vitalik Buterin’s updated views, which now present a more balanced perspective compared to two years ago. Buterin outlines four quadrants of Crypto × AI integration: two where crypto (especially Ethereum) provides trustless, economic layers for AI agents and private interactions, and two where AI enhances crypto—through local LLMs acting as user shields for security and AI improving market efficiency and DAO governance. The conclusion emphasizes that meaningful progress lies at the intersection of both fields, beyond mere tokenization or speculative narratives, and expresses hope for more substantive developments in the future.

比推02/12 06:16

Tokens, Models, and Bubbles: The Crypto × AI Game in the Primary Market

比推02/12 06:16

Stop Paying Attention to These Zombie Projects

The crypto market in 2025 is marked by extreme contradictions: while over 20 million tokens have been launched, more than 57% have failed. A new wave of "zombie projects"—backed by top VCs and listed on major exchanges—continues to operate with minimal product development or real-world utility. This analysis highlights several疑似僵尸化 projects: - **Sleepless AI**: Once a Binance Labs incubator star, its token fell 99% from its peak. It promises AI-driven emotional companions but shows no substantial technical updates or iOS/Android app launches, raising suspicions of being a repackaged Web2 product. - **Hooked Protocol**: Its Learn-to-Earn model initially attracted users through subsidies, but token value collapsed 99% after incentives faded. Its shift to "AI-powered education" appears more like marketing than tangible tech progress. - **Saga**: Positioned as a "one-click chain launch" solution, it pivoted repeatedly between gaming and AI narratives due to lack of adoption. A $7M security breach and 99% token drop further eroded trust. - **Dymension**: Despite claiming 10,000+ RollApps, most show no activity. TVL remains low at $1.3M, and the token price dropped 99%, reflecting a ghost ecosystem. Zombie projects persist due to: 1. Capital-driven listings prioritizing narrative over substance. 2. Opaque team backgrounds enabling low-exit accountability. 3. "Narrative parasitism"—rebranding to chase trends without real development. In 2026, investors must prioritize verifiable deliverables, organic user retention beyond subsidies, and teams with consistent focus—not frequent pivots. Real value comes from projects solving actual problems, not exploiting hype.

marsbit02/11 14:43

Stop Paying Attention to These Zombie Projects

marsbit02/11 14:43

Ending Zero-Sum Games: An In-Depth Research Report on Web3 Incentive Engineering and Odyssey Behavioral Dynamics

The report "Ending Zero-Sum Games: A Deep Dive into Web3 Incentive Engineering and Odyssey Behavioral Dynamics" analyzes the evolution of Web3 incentive mechanisms, arguing that traditional airdrop and points-based models have led to inefficiency, Sybil attacks, and low user retention. It proposes a shift from volume-based metrics to value-based unit economics, where user lifetime value (LTV) must exceed customer acquisition cost (CAC). The new paradigm defines incentives as a combination of Credit (e.g., SBTs), Privileges (e.g., governance rights), and Revenue Rights (e.g., real yield). A key framework classifies users into three behavioral archetypes: Gamma (profit-driven farmers), Beta (engaged explorers), and Alpha (long-term builders). Successful incentive design must encourage migration from Gamma to Alpha by making authentic contribution more profitable than farming. The report introduces technical solutions to ensure incentive compatibility (IC): - A Dynamic Difficulty Adjustment (DDA) mechanism to auto-calibrate task complexity. - A Proof of Value (PoV) model to measure "contribution density" (liquidity, time, governance activity). - A ZK-based behavioral attestation layer for private, Sybil-resistant user verification. Finally, the Odyssey model is envisioned to evolve from a marketing campaign into a native, embedded protocol (GaaS - Growth-as-a-Service) with interoperable credit across ecosystems, fostering a shift from speculative engagement to sustainable, value-aligned collaboration.

marsbit02/11 13:47

Ending Zero-Sum Games: An In-Depth Research Report on Web3 Incentive Engineering and Odyssey Behavioral Dynamics

marsbit02/11 13:47

Giants Enter the Arena and Asset Restructuring: The Logic of On-Chain Investment Against the Backdrop of Precious Metals Volatility

The entry of major financial institutions like HSBC and J.P. Morgan into tokenized gold, alongside significant investments in platforms like Ondo Finance and PAXG, marks a shift toward blockchain-based real-world assets (RWA). This trend is particularly relevant amid recent volatility in gold and silver markets, where prices experienced sharp corrections in early 2026. Tokenized precious metals offer three key advantages over traditional forms: 1) **Enhanced Liquidity**: Assets like PAXG enable 24/7 trading, avoiding the time and spatial constraints of physical gold trading. During recent price swings, PAXG’s trading volume surged to $1.2 billion, demonstrating demand for instant rebalancing. 2) **Operational Efficiency**: Tokenized securities such as Ondo’s SLVon allow immediate settlement and capital reuse, unlike traditional T+2 ETF settlements. During a silver price crash, SLVon saw 45% turnover while traditional markets were closed. 3) **Yield Generation**: Assets like KAG and XAUm offer yields (e.g., 1.8%–3.2% annually) and enable collateralization for additional DeFi yield opportunities, maintaining portfolio returns even during corrections. In summary, tokenized metals provide superior liquidity, efficiency, and utility—transforming gold and silver into dynamic, productive assets especially valuable during market stress.

marsbit02/11 06:33

Giants Enter the Arena and Asset Restructuring: The Logic of On-Chain Investment Against the Backdrop of Precious Metals Volatility

marsbit02/11 06:33

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