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交给曲线，别和周期对抗：宏观分析大师 Raoul Pal 的加密 10 年投资复盘

Raoul Pal, co-founder and CEO of Real Vision, reflects on his 13-year journey in crypto, detailing costly mistakes like selling Bitcoin early due to FUD, which cost him significant potential gains. His key lesson: adopt a long-term perspective, ignore noise, and hold assets through volatility. He distinguishes between Bitcoin as a "vault"—a scarce store of value targeting the global savings pool (like gold)—and smart contract platforms (Ethereum, Solana, Sui) as "rails" for the future machine economy. These platforms will coordinate transactions among AI agents and underpin global asset markets (real estate, debt, equities), representing a market opportunity orders of magnitude larger than Bitcoin's. Addressing bearish sentiment, Pal argues that current pessimism stems from delayed market cycles, not a broken thesis. With economic indicators turning positive (e.g., ISM expansion), conditions are aligning for crypto's growth. His advice: understand the assets, believe in network adoption, and withstand periodic drawdowns. Let the exponential curve work—don't fight the cycle.

marsbitHace 2 hora(s)

交给曲线，别和周期对抗：宏观分析大师 Raoul Pal 的加密 10 年投资复盘

marsbitHace 2 hora(s)

ChangXin Technology: A Cyclical Stock Standing Atop the Cycle Peak

Changxin Technology: A Cyclical Stock at the Peak On July 27, 2026, Changxin Technology topped the A-share market with a market capitalization of 3.28 trillion yuan, surging 465% on its first trading day. The company, which lost 16.3 billion yuan in 2023, reported an estimated net profit of 50-57 billion yuan for the first half of 2026. Its dramatic reversal mirrors the volatile DRAM (Dynamic Random Access Memory) cycle. The DRAM industry is inherently cyclical, with booms and busts every 3-4 years. This is due to product standardization and a significant time lag in supply adjustment. When prices rise, manufacturers expand capacity, but new production takes 2-3 years to come online, often leading to oversupply and price crashes when demand cools. Changxin's performance perfectly tracks this cycle. It recorded deep losses in 2023-2024 during the industry downturn, turned its first annual profit in 2025, and saw profits skyrocket in Q1 2026. This surge is primarily price-driven. The AI boom has led major players like Samsung and SK Hynix to shift 70-80% of new capacity to high-margin HBM (High Bandwidth Memory), creating a severe shortage and price explosion in general-purpose DRAM markets where Changxin competes. However, a massive global capacity expansion is underway. The top three manufacturers have announced nearly $70 billion in capital expenditure for 2026. Changxin itself plans to expand from three to seven 12-inch wafer fabs. This investment will translate into significant new supply in 2-3 years. While DRAM prices are expected to remain high through 2026-2027, price growth is already slowing, and a potential downturn is forecast for around 2028 as new capacity ramps up. A key challenge for Changxin is catching up in the critical HBM segment. While it has delivered HBM3 samples, leaders are already mass-producing more advanced HBM3E. Success in HBM is crucial for gaining true cyclical resilience. In conclusion, Changxin is a commendable company that has broken foreign monopolies in DRAM. Its long-term growth narrative—driven by import substitution and AI—is valid. Yet, its current valuation of 5-6x forward P/E, typical for a cyclical stock at its peak, suggests much future growth is already priced in. AI may extend the current cycle but cannot eliminate the industry's inherent volatility. For investors, the critical question is preparedness for the inevitable downturn when the cycle turns.

marsbitHace 4 hora(s)

ChangXin Technology: A Cyclical Stock Standing Atop the Cycle Peak

marsbitHace 4 hora(s)

SK Hynix's Most Profitable Quarter Ever: Why Did It Still "Miss Expectations"?

SK H力士 reported record-breaking financial results for Q2 2026. Revenue reached 79.32 trillion KRW (up 257% YoY), while operating profit surged to 60.54 trillion KRW (up 557% YoY). Despite this, the figures fell slightly short of market expectations, causing initial volatility in its stock price. Key factors behind the "miss" include a high proportion of HBM sales tied to long-term supply agreements, which limited profit elasticity during a period of rapid price increases for standard DRAM and NAND memory. The company's outlook remains optimistic. Management forecasts continued strong demand growth for DRAM and NAND in 2026, with no observed slowdown in AI-related investments. Progress on HBM4 shipments and next-generation product development remains on schedule. Furthermore, SK H力士 plans to maintain high capital expenditures, indicating confidence in future AI-driven storage demand. The market reaction highlights a broader debate: investors are less focused on past profits and more on how to price future growth. Bulls emphasize the ongoing AI infrastructure expansion, while bears express concerns about valuation and the sustainability of capital spending. The company's performance and strategy will continue to be a key focus in the semiconductor sector.

Odaily星球日报Hace 4 hora(s)

SK Hynix's Most Profitable Quarter Ever: Why Did It Still "Miss Expectations"?

Odaily星球日报Hace 4 hora(s)

Will Changxin Technology Continue to Rise Today?

Changxin Technology made a historic debut on the stock market, with its share price soaring 465.82% to close at 49 yuan. Its market capitalization reached 3.28 trillion yuan, surpassing Industrial and Commercial Bank of China to become the largest company by market cap on the A-share market. Daily trading volume exceeded 140 billion yuan, a first in A-share history. This created a moment of realization for 7.7 million investors who won the lottery for its shares. On the first day, investor strategies varied: some sold immediately and later regretted missing intraday highs, others secured profits to avoid future volatility, while a third group held or even bought more shares, betting on long-term growth. The staggering IPO, massive public enthusiasm, and debut during a peak industry cycle led some to compare Changxin to PetroChina's 2007 listing, which was followed by a long decline. Key similarities noted include comparable fundraising scales (approx. 666 billion yuan for Changxin vs. 668 billion for PetroChina) and both companies listing at a perceived high point in their respective commodity cycles (oil then, memory chips now). However, analysts caution against over-simplifying the comparison. They highlight core differences: Changxin operates in the high-growth semiconductor sector with strong "domestic substitution" tailwinds. Brokerages like Huaxi Securities project significant revenue and profit growth from 2026 to 2028, driven by DDR5 adoption, product mix optimization, and economies of scale. Nomura Securities issued a "buy" rating with a 116 yuan target price, citing AI-driven demand for DRAM, tight supply as major players shift to HBM production, and Changxin's vast room for market share growth. Some analysts position the current memory cycle, fueled by AI, as just beginning, contrasting with the mature energy cycle PetroChina entered. The article concludes that for investors, monitoring the memory cycle's progression and Changxin's breakthroughs in high-end technologies like HBM will be crucial, rather than relying on superficial historical parallels.

marsbitAyer 00:51

Will Changxin Technology Continue to Rise Today?

marsbitAyer 00:51

Five Historical Indicators Light Up Simultaneously, Bitcoin Bear Market Hits Bottom

Multiple historical indicators are converging to suggest that Bitcoin may be approaching or has reached a long-term cycle bottom. Currently trading approximately 50% below its all-time high, Bitcoin's bear market has persisted for over 40 weeks. Several key metrics point towards a potential low: the Nasdaq/Bitcoin and Gold/Bitcoin Relative Strength Index (RSI) readings are at historically extreme oversold (for Bitcoin) levels, which have previously signaled significant long-term outperformance in subsequent 1-3 year periods. Furthermore, Bitcoin's spot price is currently around 18% below its Realized Price (on-chain cost basis of $53k), a condition that has historically marked the final stages of bear markets and preceded substantial future returns. Analysis of past cycles indicates that price lows typically occur around 60 weeks after the previous peak, suggesting a potential low could form by late November 2026. Combined, these signals—though based on a limited historical sample and subject to structural market changes—indicate the period from now through late 2026 could present an attractive long-term accumulation opportunity for Bitcoin, with an asymmetrically positive return profile projected for the 2027-2028 timeframe.

Odaily星球日报Ayer 12:24

Five Historical Indicators Light Up Simultaneously, Bitcoin Bear Market Hits Bottom

Odaily星球日报Ayer 12:24

Is Bitcoin nearing another accumulation zone? THIS signal says yes

Bitcoin has experienced an extended period of underperformance, diverging from the equities market. However, a long-term correlation with Apple (AAPL) stock may signal a potential turning point. Analysis of the Bitcoin-AAPL ratio shows it has traded within a well-defined ascending channel since 2017, with the lower boundary historically marking Bitcoin undervaluation. The ratio is now approaching this support line, suggesting Bitcoin could be entering another accumulation zone, similar to periods preceding past major rallies. While Bitcoin's correlation with the S&P 500 broke in 2025 due to macro shocks, the longer-term AAPL relationship remains intact. For confirmation, on-chain data shows recent stablecoin inflows are still modest compared to recent outflows, indicating the market may need more capital rotation before a sustained uptrend.

ambcrypto07/24 08:23

Is Bitcoin nearing another accumulation zone? THIS signal says yes

ambcrypto07/24 08:23

The Perfect Founder-Market Fit: Bear Markets Are the Ultimate Test

"Founder-Market Fit in a Bear Market: The Ultimate Test" While AI captures the vast majority of venture capital and attention, the current crypto bear market is revealing the strongest cohort of founders in four cycles. These operators, hailing from institutions like Goldman Sachs, Citadel, and Stripe, are not chasing narratives. They are converging on the now-compelling "hard problem" of institutional-grade financial infrastructure. Founder-market fit—the alignment between a specific founder's unique capabilities and a specific market's needs—is the most durable signal in venture. Products, markets, and regulations change, but this fit compounds even when prices don't. The bear market is the best environment to identify it. Talent is now concentrated on two serious verticals: AI and fintech. The quality of founders choosing blockchain for finance is unprecedented. Evidence is in who's building: founders from elite traditional finance backgrounds are tackling on-chain institutional infrastructure (e.g., Ondo's Nathan Allman, Offchain Labs' Ed Felten). Market data supports this shift, with tokenized real-world assets and stablecoins growing significantly and major banks launching products. The author evaluates founders on four traits: 1) Deep domain expertise (lived experience, not just theory), 2) High agency (ability to sell a vision based on deep market understanding), 3) Unfair network advantage (relationships that accelerate execution), and 4) Obsession (long-term commitment rooted in belief, not hype). In a bull market, momentum does the work. A bear market strips that away, leaving only belief—the observable output of true founder-market fit—as fuel. This period filters out tourists, leaving builders who see the long-term opportunity. For serious operators considering the space, the bear market is not a risk but a proving ground and the cleanest environment to build compounding advantage. The commitment is to back such founders at the intersection of market and conviction, as in every prior cycle.

marsbit07/24 07:35

The Perfect Founder-Market Fit: Bear Markets Are the Ultimate Test

marsbit07/24 07:35

Five Historic Indicators Simultaneously Flash Signals: Bitcoin Bear Market Bottoms Out

Title: "Five Major Historical Indicators Simultaneously Flash, Bitcoin Bear Market Hits Bottom" Bitcoin is currently down 50% from its all-time high, with the bear market persisting over 40 weeks. A set of long-term cyclical indicators suggests the market may be at or nearing a price and time-cycle low point. Key Indicators: 1. Nasdaq/BTC Relative Strength: The 14-week moving average of the Nasdaq 100/BTC ratio's RSI has reached a historically unprecedented overbought level of 72.6, indicating Bitcoin is extremely oversold relative to equities. Historically, such extremes have preceded major cycle lows and strong outperformance by Bitcoin over the next 1-3 years. 2. Long-Term Expected Returns: Past instances of extreme Nasdaq/BTC RSI readings have been followed by asymmetric positive returns for Bitcoin over a 1-3 year horizon, though the magnitude of gains has diminished each cycle. 3. Gold/BTC Relative Strength: A similar RSI indicator for the Gold/BTC ratio also hit a record high in February 2026, another signal aligning with historical cycle lows for Bitcoin. 4. Bitcoin Realized Price: The on-chain realized price (average cost basis) is currently $53,000, 18% above the spot price. Historically, Bitcoin's spot price has spent only 12% of its time below this level, and every past bear market bottom has occurred below the realized price. 5. Cycle Clock: Previous cycles saw price lows form around 60 weeks after the all-time high. The current cycle is at week 40. If this pattern holds, a low point could form around late November 2026. Conclusion: The convergence of these rare, extreme signals points to Bitcoin being at or very near a long-term cyclical bottom, likely forming before the end of 2026. This period may present a highly attractive opportunity for long-term accumulation, with an asymmetric return profile favoring significant upside over the next 1-3 years, despite noted risks like diminishing marginal returns, small sample size, and potential structural market changes.

marsbit07/24 07:13

Five Historic Indicators Simultaneously Flash Signals: Bitcoin Bear Market Bottoms Out

marsbit07/24 07:13

New Fire Group Chief Economist Fu Peng's Latest Speech: Crypto Assets Deeply Bound to Liquidity, Global Assets 'Shrink Circle' with Widening Divergence

The chief economist of Sinovation Group delivered a speech at Wiki Finance EXPO Hong Kong 2026, analyzing the global market through the lens of liquidity. He argues that all major assets, including cryptocurrencies, are fundamentally tied to global liquidity, which is now shifting from an era of extreme post-2008 ease to sustained tightening under new Fed leadership. This marks the end of widespread "asset flooding" and ushers in a "shrinking circle" dynamic: capital is abandoning speculative, low-quality assets and concentrating in a few high-conviction, value-driven core holdings. The only dominant global investment theme is AI, viewed as a 20-25 year productivity cycle. However, a critical inflection point has been reached in Q2, where major tech firms' free cash flow has turned negative. The market narrative has pivoted from rewarding pure capital expenditure growth to demanding proof of future revenue generation and returns. While the AI super-cycle's long-term thesis remains intact, the initial hardware-driven phase (e.g., Nvidia, memory chips) is maturing. The speaker warns of significant volatility risk not from industry fundamentals, but from excessive financial leverage built up in these "certain" assets. He emphasizes that investment strategy must evolve from broad diversification to focused, cyclical allocation within the AI value chain (upstream hardware, midstream, downstream applications), avoiding blind long-term holds on single names. For crypto, this liquidity paradigm shift means the era of speculative "air coin" mania is over; the market is maturing, with institutional participation increasing and volatility stabilizing for core assets like Bitcoin and Ethereum. The core takeaway is that understanding the top-down liquidity framework is essential for navigating the current era of market分化 and focused capital allocation.

链捕手07/24 06:31

New Fire Group Chief Economist Fu Peng's Latest Speech: Crypto Assets Deeply Bound to Liquidity, Global Assets 'Shrink Circle' with Widening Divergence

链捕手07/24 06:31

Bernstein Analysis: Can the $142 Billion Long-Term Order Hold Up the Memory Cycle?

Bernstein revisits long-term agreements (LTAs) in the memory industry, highlighting new contracts with purchase commitments, minimum prices, and financial guarantees signed by Micron and SanDisk. These aim to provide an earnings floor for the coming years. Micron has 16 strategic customer agreements, with 14 representing approximately $100 billion in minimum revenue and about $22 billion in cash deposits/commitments. SanDisk has contracts for around $42 billion in minimum revenue and over $11 billion in guarantees. Combined, these ~$33 billion in guarantees make it more costly for major clients to walk away. However, Bernstein models that the potential revenue needing protection over 3-5 years is around $5.2 trillion. The existing guarantees thus cover only about 0.6% of that scale. While LTAs provide a cushion, they cannot fully shield profits in a severe downturn, as clients may still find it cheaper to breach contracts if spot prices fall deeply below floor prices. LTAs are most suitable for large, credit-worthy customers like U.S. cloud service providers with stable, high-volume AI infrastructure needs. Consumer segments (phones, PCs) and some Chinese clients are less likely to adopt them, leaving an estimated 30-50% of the DRAM/NAND market exposed to spot price volatility. AI demand (e.g., HBM for training, storage for inference) supports higher valuations and makes LTAs more attractive for locking in high-demand customers. Yet, Bernstein stresses that LTAs soften, but do not eliminate, the memory cycle. Their true test will come in the next downturn, revealing whether clients honor contracts and whether guarantees provide sufficient pain to maintain supplier discipline.

marsbit07/21 07:32

Bernstein Analysis: Can the $142 Billion Long-Term Order Hold Up the Memory Cycle?

marsbit07/21 07:32

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