# Сопутствующие статьи по теме Investing

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Investing", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

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

What Did Duan Yongping Buy in 2026? From a Small Position in Circle to Heavy Allocations in AI, a Breakdown of the Latest Holdings and New Market Signals

Summary: Duan Yongping's investment portfolio adjustments in Q1 2026, revealed via the H&H International Investment 13F filing, signal strategic shifts towards AI, consumer tech, and emerging digital finance. The total portfolio value reached approximately $20 billion, with high concentration in the top 10 holdings. Key new U.S. positions include a significant initial stake in Tesla (3.41 million shares) and smaller, exploratory positions in AI-focused companies like Palantir, Snowflake, and Synopsys. Notably, a small, new position in Circle (200k shares) marks his first entry into the crypto-related space, specifically targeting compliant stablecoin infrastructure. Major additions were made to existing core holdings: Nvidia (position nearly doubled), Pinduoduo, and Berkshire Hathaway. Apple remained the largest holding, though slightly reduced. Positions in Alibaba, ASML, and CoreWeave were liquidated. In the Hong Kong market, a pivotal move was the complete replacement of China Shenhua Energy with a position in Pop Mart. This highlights a strategic expansion into the Z-generation IP and emotional consumption sector, reflecting confidence in the founder and the brand's long-term potential. Overall, the adjustments demonstrate Duan's ongoing investment philosophy: focusing on "good businesses" with strong leadership, while cautiously expanding his circle of competence into high-growth areas like AI and new consumer trends through initial small positions and portfolio rebalancing.

marsbit05/27 13:37

What Did Duan Yongping Buy in 2026? From a Small Position in Circle to Heavy Allocations in AI, a Breakdown of the Latest Holdings and New Market Signals

marsbit05/27 13:37

This New Generation of US Stock Trading Gods No Longer Read Financial Reports

The new generation of "stock gods" in the 2026 US AI bull market are not analyzing traditional financial reports. Instead of focusing on giants like NVIDIA, figures like the 22-year-old Leopold Aschenbrenner (who reportedly turned $200M into $14B) and influencers like Serenity on platforms like Reddit's WallStreetBets, X, and Substack are gaining fame and returns by targeting obscure, low-cap "micro-cap" stocks. Their strategy, dubbed "supply chain sniping," involves identifying critical, often monopolistic, bottlenecks in the AI hardware supply chain—such as specific materials or components essential for giants like Google and NVIDIA—that are missed by mainstream Wall Street analysts. Serenity's call on AXTI, a $700M company supplying indium phosphide substrates crucial for photonics and optical interconnects, saw the stock soar from ~$12 to nearly $150. Similarly, accounts like KawzInvests and PhotonCap focus on thematic, supply-chain-driven research in areas like AI infrastructure, optics, and cloud services for SMEs, bypassing traditional valuation metrics. This shift represents a cultural move away from Warren Buffett-style value investing based on deep financial statement analysis. The new approach thrives on low liquidity, early narratives, and strong community propagation on social media, similar to meme stocks or crypto. However, this "attention economy" strategy carries risks: it depends on sustained information gaps, the underlying companies' ability to deliver fundamental results, and the potential for crowded, volatile exits as narratives shift. The trend also shows crypto traders applying their narrative-sensing skills to US micro-caps, marking a significant evolution in trading culture.

marsbit05/27 11:55

This New Generation of US Stock Trading Gods No Longer Read Financial Reports

marsbit05/27 11:55

X Stock Market Investment & Trading: A 'Noise-Free' List of 50 Key Accounts

Titled "A 'Noise-Reduction' List of 50 Top US Stock Market Influencers on X," this article curates a selection of accounts for investors seeking quality information beyond follower counts. The list prioritizes accounts that have consistently discussed US stocks, ETFs, earnings, macroeconomics, options, and tech/AI/semiconductor topics over the past 90 days. Selection criteria focused on genuine informational value, stable analytical frameworks over mere news aggregation, and a clear relevance to US equity markets, with tighter filtering for crypto-heavy accounts. The final 50 accounts are categorized into three groups: - **Core US Stocks/Trading (31 accounts)**: Covering market trends, individual stocks, earnings, valuation, options, macroeconomics, and trading strategies. - **Tech/AI/Semiconductors (18 accounts)**: Focused on tech stocks, AI supply chains, semiconductor cycles, data centers, and cloud capital expenditure. - **News Source (1 account)**: Useful as a news radar, not for standalone decision-making. Presented alphabetically by handle, the list includes analysts, traders, and researchers such as @amy6tina (options/CFA), @dylan522p (semiconductors/AI infrastructure), @gerberkawasaki (tech stocks), @jimcramer (market commentary), and @tengyanai (semiconductors/AI trends). The article suggests using the list to: 1) complete one's information sources on US markets and specific sectors, 2) observe narrative linkages between AI, semiconductors, earnings, macro liquidity, and stock prices, and 3) "de-noise" and enhance the quality of one's X feed. It clarifies this is not investment advice or an endorsement, but a snapshot of content relevance and informational value for US equity investors.

marsbit05/27 00:08

X Stock Market Investment & Trading: A 'Noise-Free' List of 50 Key Accounts

marsbit05/27 00:08

Silicon Bull, Carbon Bear: The Wealth Code of 2026 is Only 'Chips' and 'Light'

The article, titled "Silicon Bull, Carbon Bear: In 2026, the Wealth Code Lies Only in 'Chips' and 'Optics'", discusses the extreme market divergence in 2026 driven by the AI investment frenzy. Investment managers who concentrated on the AI hardware supply chain, particularly computing infrastructure, optical modules, and memory chips, have seen their fund net asset values (NAVs) surge dramatically, even reaching record highs. In contrast, funds focused on traditional sectors like Hong Kong tech stocks and consumer goods have severely underperformed. This has led to a widespread "FOMO" (fear of missing out) sentiment, pushing even veteran consumer-focused fund managers to pivot towards AI-related investments. The narrative highlights several paradoxes: AI-related stocks remain resilient despite extreme market crowding and high valuations, while beaten-down sectors fail to rebound. The author dubs this split market "Silicon Bull, Carbon Bear," suggesting a bull market only for those invested in silicon-based tech (AI hardware) and a bear market for carbon-based traditional economy sectors. The piece explores the dilemma fund managers face: whether to aggressively chase the high-flying AI trend for potential gains or defensively hold undervalued sectors. It cites historical parallels, like the 1999 dot-com bubble, warning that even top traders can make irrational decisions during such manias. Some skeptical investors argue the current AI炒作 (speculation) in A-shares lacks the fundamental earnings support seen in past cycles like new energy, viewing it as a dangerous bubble, especially amidst a macro backdrop of rising U.S. bond yields. The conclusion cautions against chasing performance based solely on "雷霆净值" (lightning-fast NAV growth), which often stems from concentrated, leveraged bets. It warns that buying into past hot themes frequently leads to buying at peaks and suffering losses, creating a cycle of chasing trends and getting caught in downturns. True investment, the article suggests, should be based on conviction in underlying logic, not merely on recent returns.

marsbit05/21 07:46

Silicon Bull, Carbon Bear: The Wealth Code of 2026 is Only 'Chips' and 'Light'

marsbit05/21 07:46

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