# Пов'язані статті щодо Rare Earths

Центр новин HTX надає останні статті та поглиблений аналіз на тему "Rare Earths", що охоплює ринкові тренди, оновлення проєктів, технологічні розробки та регуляторну політику в криптоіндустрії.

Dialogue with Macro Analyst: AI Dries Up All Liquidity in US Stocks, $40K Bitcoin is the Bottom

**Summary of Interview with Macro Strategist Luke Groman** Macro strategist Luke Groman, founder of FFT LC, analyzes market liquidity, AI dominance, and geopolitical tensions to present a bearish view for Bitcoin. * **Key Theses:** * The stock market rally is narrow, driven primarily by a handful of AI stocks, which are sucking liquidity from other assets, including Bitcoin, which he sees as a liquidity "smoke alarm" now signaling trouble. * Despite strong stock performance in dollar terms, he expects stocks to decline significantly when measured in gold or Bitcoin. The US economy faces structural challenges, with sovereign debt having a 100% historical failure rate at current levels. * Geopolitics are key: the prolonged closure of the Strait of Hormuz is a major US strategic failure, creating stagflationary pressures. China's control of rare earths processing and a move towards a "no ticky, no washy" proof-of-work settlement system (involving physical gold and possibly Bitcoin) are reshaping global trade. * AI's growth is fueled by aggressive accounting that front-loads revenue, masking cash burn. The paradox is that if AI is as transformative as valuations suggest, it will destroy jobs, but admitting this is politically untenable. * **Outlook for Bitcoin:** * Groman sold most of his Bitcoin holdings near the top and has not re-entered the market in size. * He believes technical analysis points to a potential bottom for Bitcoin in the $40,000 - $50,000 range in Q3/Q4.

marsbit06/10 04:11

Dialogue with Macro Analyst: AI Dries Up All Liquidity in US Stocks, $40K Bitcoin is the Bottom

marsbit06/10 04:11

Dialogue with a Macro Analyst: AI Drains All Liquidity from U.S. Stocks, $40K Bitcoin is the True Bottom

In a recent discussion, macro strategist Luke Groman, founder of FFT LC, presented a sobering analysis of current markets. He argues that while the S&P 500 hits new highs, this is largely driven by just seven AI stocks, which are "sucking all the oxygen and liquidity out of the room." Bitcoin, which he calls the "last working smoke alarm for liquidity," is signaling trouble, having entered a difficult period. Groman explains that the AI boom is fueled by accounting practices that front-load revenue, creating an illusion of high profits while cash is being depleted. He warns this cycle could reverse sharply when construction slows. His base case is that stocks will rise in dollar terms but fall significantly when measured in gold or Bitcoin, highlighting that long-term US Treasury futures have already lost 90% of their value against gold over the past decade. He points to major structural risks, including China's dominance in rare earths—a small commodity market underpinning trillions in tech stock value—and the prolonged closure of the Strait of Hormuz, which he calls a "Suez Moment" for the US. This, combined with a shift towards a "no ticky, no washy" proof-of-work system for settling trade (using gold, not trust), signals deeper systemic distrust. Regarding US debt, Groman notes that historically, all 58 countries that reached a 130% debt-to-GDP ratio defaulted, primarily through inflation. The US crossed this threshold in 2020. He also highlights a contradiction in the AI narrative: if it's as transformative as claimed, it must destroy white-collar jobs, threatening half of US tax revenue—a reality at odds with the "no job loss" messaging from tech leaders. On Bitcoin, Groman sold most of his position near the top and hasn't fully re-entered. Citing technical analysis from Northstar Bad Charts, he suggests a potential bottom around $40,000 could materialize in Q3 or Q4. He concludes that while he may be labeled a doomsayer, his view is simply realistic, grounded in historical precedents and current macro pressures.

marsbit06/09 14:57

Dialogue with a Macro Analyst: AI Drains All Liquidity from U.S. Stocks, $40K Bitcoin is the True Bottom

marsbit06/09 14:57

Deconstructing Mysterious Researcher Serenity's Chokepoint Algorithm and the Global Revaluation of Equity Assets

Unmasking Serenity's "Chokepoint Theory": A Framework for AI-Era Investment This article deconstructs the investment methodology of the pseudonymous online researcher Serenity (formerly AleaBito on Reddit), who claims extraordinary returns by identifying critical bottlenecks in AI and robotics supply chains. Rejecting Wall Street's typical top-down analysis, Serenity employs a bottom-up, reverse-engineering approach. Starting with an end product like an Nvidia GPU cluster, he meticulously maps the global supply chain down to its most essential, irreplaceable physical components—the "choke points." These are low-profile, often monopolized sub-sectors where a disruption could paralyze entire downstream industries, analogous to a strategic strait controlling global oil flow. His primary focus is the physical evolution of AI data centers, specifically the shift from copper interconnects to silicon photonics and Co-Packaged Optics (CPO). He identifies five critical, monopolized technical barriers within CPO: high-precision fiber alignment components (e.g., FOCI), external light sources and high-power lasers (e.g., SIVE), molecular beam epitaxy equipment (ALRIB/Riber), ultra-high-purity red phosphorus raw materials, and Silicon-on-Insulator (SOI) wafers (Soitec). Serenity extends this framework to humanoid robotics, arguing that while the AI "brain" resides in the US, the physical "body" hardware (actuators, gears, motors) is dominated by Asian manufacturers. He highlights a looming "demand tsunami" for specific rare earth elements essential for robot motors, presenting a severe future supply chain and geopolitical challenge. The article cites several of his investment targets (RPI, SIVE, Soitec, VLN, NBIS) where identifying such choke points, coupled with correcting market mispricings (e.g., ticker code confusion for VLN), allegedly led to significant re-ratings. Ultimately, the article posits that Serenity's core value is not in providing stock picks, but in demonstrating a paradigm: using deep technical analysis to find the silent, indispensable "physical switches" within complex systems, thereby exploiting institutional research blind spots. However, it warns of major risks, including illiquidity in micro-cap stocks, potential "pump-and-dump" accusations, and the foundational gamble that his identified technological paths (like CPO) are the correct and inevitable ones.

marsbit05/28 07:26

Deconstructing Mysterious Researcher Serenity's Chokepoint Algorithm and the Global Revaluation of Equity Assets

marsbit05/28 07:26

2-Year Return of 225x? Uncovering Mysterious Researcher Serenity's AI 'Choke Point' Investment Strategy

"2 Years, 225x Returns? Decoding Serenity's AI 'Chokepoint' Investment Strategy" This article profiles Serenity (formerly AleaBito on Reddit's WallStreetBets), a pseudonymous researcher known for exceptional returns by applying a "Chokepoint Theory" to AI investments. His methodology involves a bottom-up, reverse-engineering approach of the AI hardware supply chain. He identifies critical, irreplaceable physical bottlenecks (chokepoints) that could cripple entire AI systems if disrupted, bypassing Wall Street's top-down focus on major tech firms. Key examples include pinpointing essential suppliers in the emerging Silicon Photonics and Co-Packaged Optics (CPO) sector—components vital for next-generation AI data center interconnects—such as niche companies providing external laser sources, molecular beam epitaxy equipment, or ultra-pure raw materials. Similarly, he highlights geopolitical "chokepoints" in the humanoid robotics supply chain, where key hardware components and rare earth elements are concentrated in Asia. Serenity validates his investment theses through rigorous adversarial AI debates before publication. He leverages institutional blind spots, directing a sophisticated network of retail followers toward undervalued, under-covered micro-cap stocks across global exchanges, driving significant price movements in names like Sivers ($SIVE), Soitec, and Raspberry Pi ($RPI). While presenting a powerful framework for finding critical system dependencies, the strategy carries inherent risks: extreme concentration on specific technological paths, liquidity issues in small-cap stocks, and accusations of market manipulation. Ultimately, the core takeaway is not to copy his trades, but to adopt his analytical lens: to ask which silent, physical switches hold irreplaceable power within a complex system and invest ahead of the market's recognition of their value.

链捕手05/27 09:12

2-Year Return of 225x? Uncovering Mysterious Researcher Serenity's AI 'Choke Point' Investment Strategy

链捕手05/27 09:12

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