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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.

MatrixportHace 18 hora(s)

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

MatrixportHace 18 hora(s)

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.

marsbitHace 19 hora(s)

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

marsbitHace 19 hora(s)

Tom Lee: From Wall Street Strategist to Ethereum's Biggest Bull

Tom Lee, a former Wall Street strategist and co-founder of Fundstrat Global Advisors, has become one of the most prominent voices bridging traditional finance and the crypto market. Known for his macro-driven, bullish outlook on assets like Bitcoin and Ethereum, he translates complex economic variables—such as monetary policy, liquidity, and institutional adoption—into actionable investment theses. Lee began his career at J.P. Morgan, where he developed expertise in equity strategy and macro analysis. After founding Fundstrat, he gradually shifted focus toward crypto, framing Bitcoin as a hedge against monetary uncertainty and a risk asset correlated with macro liquidity. While often perceived as perpetually bullish, Lee’s approach is narrative-driven and long-term. He views Ethereum not as a speculative token but as a productive financial infrastructure asset—akin to a digital commodity—powering decentralized finance, stablecoins, and real-world asset tokenization. Key to his ETH thesis are its deflationary mechanism (via burning), staking yield, and role as the settlement layer for on-chain activity. Lee emphasizes that Ethereum’s value capture resembles that of cash-flow-generating assets, making it more palatable to institutional investors. As crypto becomes more regulated and institutionalized, he believes ETH’s economic model and utility will drive sustained demand. His influence lies in applying Wall Street frameworks to crypto, offering a macro perspective often absent in retail-driven markets.

marsbitAyer 01:18

Tom Lee: From Wall Street Strategist to Ethereum's Biggest Bull

marsbitAyer 01:18

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