# Trend Articoli collegati

Il Centro Notizie HTX fornisce gli articoli più recenti e le analisi più approfondite su "Trend", coprendo tendenze di mercato, aggiornamenti sui progetti, sviluppi tecnologici e politiche normative nel settore crypto.

The Era of Bitcoin Dominating Crypto Is Over

The era of Bitcoin's dominance over the entire crypto market is ending. The crypto economy is now bifurcating into two distinct camps: endogenous assets and exogenous assets. Endogenous assets, like Bitcoin and many traditional cryptocurrencies, derive their value primarily from the broader crypto market's price movements. Their fortunes rise and fall with the market cycle. Exogenous assets, however, are increasingly decoupled from crypto market volatility. These projects, while technically part of the crypto space, have business models and value drivers that operate independently. Examples include Venice, which monetizes private AI inference services; Figure, a fintech firm using blockchain to streamline home equity loans; and stablecoin-related companies like BVNK and Bridge, which see growth unrelated to crypto bull or bear markets. This shift is fundamental. Past narratives of a "blockchain over Bitcoin" focus failed because they lacked sustainable, quantifiable demand and revenue streams that could translate to token value. The current cycle is different: exogenous projects generate real revenue from paying users, and investors are beginning to evaluate them based on fundamentals rather than mere market narrative. While endogenous assets will remain relevant—akin to gold and gold mining stocks in a portfolio—their performance drivers are now distinct from those of exogenous assets. Consequently, analyzing exogenous assets requires a traditional, fundamentals-based approach: examining user bases, unit economics, and competitive moats, much like a fintech investor would. Bitcoin's price is no longer the primary reference point. Promising exogenous sectors include on-chain exchanges/brokerages, AI/crypto fusion, tokenization of real-world assets, new digital banks, lending platforms, payment channels, non-financial crypto-consumer products, and the agent economy. Currently, investing in company equity is often the most direct way to gain exposure, though token mechanisms are evolving. The core trend is clear: the crypto market's drivers are diversifying from a single factor to multiple factors. Industry analysis must now focus on deep business fundamentals, not just interpreting Bitcoin's price charts.

marsbit06/01 11:47

The Era of Bitcoin Dominating Crypto Is Over

marsbit06/01 11:47

Bitcoin's Weak Rebound Fails to Mask Adjustment Trend, HYPE's Top Signal Warns of Short-Term Risks | Invited Analysis

**Title:** Bitcoin's Weak Rebound Fails to Mask Downtrend; HYPE Top Signal Alerts of Short-Term Risks | Exclusive Analysis **Abstract:** This weekly market analysis examines the current technical structures of Bitcoin and HYPE, outlining key trading strategies. Bitcoin's daily chart shows it has broken below the median line of its primary ascending channel, indicating structural weakness. It is currently experiencing a weak rebound within a short-term descending channel, targeting resistance at $75,000-$76,000. Failure to break above this zone could lead to a resumption of the downtrend, testing support at $69,500-$70,500. Trading strategies include positioning for a rebound rejection (Plan A) or a breakdown below key support (Plan B) with controlled short positions. For HYPE, the 4-hour chart reveals a potential seven-wave advance from the May 14 low, now showing signs of exhaustion. A bearish divergence (momentum weakening) has been observed, coupled with a top signal from the proprietary "Spread Trading Model" at potential endpoint 47. The key this week is to monitor if a confirmed top forms here, especially upon a breach of the $62.5-$64.57 support area. If broken, a larger corrective move towards $54-$56.30 is anticipated. The short-term strategy for HYPE focuses on cautious long entries only upon confirmed stabilization within the support zone. The report also details a successful short BTC trade from the previous week, yielding a ~5.07% profit, executed based on model signals and price action. Strict risk management rules, including dynamic stop-loss adjustments, are emphasized.

marsbit06/01 05:53

Bitcoin's Weak Rebound Fails to Mask Adjustment Trend, HYPE's Top Signal Warns of Short-Term Risks | Invited Analysis

marsbit06/01 05:53

Reddit Stock Market Buzz: Is the Second Wave of AI Here? Funds Are Rotating from Compute Stocks to These Application Stocks

Reddit's r/stocks community is actively debating whether a new rotation is underway in the AI sector. With infrastructure stocks like NVIDIA (NVDA) having completed their major rallies, attention is shifting towards application-layer companies that are translating AI into profits. The primary stock under discussion is Reddit (RDDT). Bulls highlight its strong fundamentals, including 70% revenue growth and 90% margins. The core investment thesis is its "data moat," as most major LLMs have been trained on Reddit data, with ongoing lawsuits against companies like Anthropic and Perplexity for non-payment. Supporters argue RDDT's data, serving as a "trust layer" of human feedback, is crucial for future AI applications in areas like e-commerce. The stock is seen as technically poised for a breakout from its current trading range. Other application stocks mentioned include: - **META**: For its profitable AI-powered ad targeting. - **Palantir (PLTR)**: Noted for strong earnings (government +84%, commercial +133% YoY). - **Snowflake (SNOW)**: Its stock surged post-earnings due to market approval of new AI data products. - **ServiceNow (NOW) & Shopify (SHOP)**: For integrating AI into their platforms. However, there is skepticism. Some doubt the depth of RDDT's data moat, arguing data quality is questionable and its pricing power over tech giants may be overestimated. Others maintain the second wave will remain in semiconductors, with cloud/Mag7 stocks following later. A professional perspective from the options market notes that while infrastructure stocks show post-earnings volatility compression, application-layer stocks like RDDT and SNOW face more two-sided uncertainty, making direct equity investment a cleaner play than options for this potential rotation. The debate reflects a key market question: after the infrastructure boom, where is the next major opportunity in AI? The consensus leans towards application-layer companies with clearer monetization paths, with RDDT's unique data position making it a focal point.

marsbit05/29 06:20

Reddit Stock Market Buzz: Is the Second Wave of AI Here? Funds Are Rotating from Compute Stocks to These Application Stocks

marsbit05/29 06:20

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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