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Different Choices After the Plunge: Institutions Buy the Dip, Traders Shift to US Stocks

Title: Diverging Strategies After the Crash: Institutions Buying the Dip, Traders Shifting to US Stocks Following a sharp decline where Bitcoin briefly fell below $60,000 on June 6th, market sentiment remains "extreme fear" despite a partial recovery. This has led to varied responses from major market participants. Several institutional figures and analysts present a cautiously optimistic long-term view for Bitcoin. Glassnode's co-founder identifies $46k-$54k as a probable key bottom range based on historical on-chain models, while a Standard Chartered executive suggests the bottom is nearly formed. Strive's CEO points to Bitcoin touching its 200-week moving average as a historically reliable buy signal. Analysts highlight metrics like MVRV ratio and the "Power Law" model indicating Bitcoin is in an extremely undervalued zone. Conversely, some traders are exiting the crypto space. One trader cited a more attractive risk/reward profile and deeper research opportunities in US stocks, particularly with AI-related equities outperforming and capital rotating away from crypto. This shift is partly attributed to perceived ongoing risks, including those related to Strategy's Bitcoin sales. Market prediction data suggests a high probability (72%) of Bitcoin falling below $55,000, but lower odds for a deeper crash below $35k-$40k. The overall picture is one of division: institutions and long-term analysts see a accumulating opportunity, while some active traders are seeking alpha elsewhere amidst the volatility and shifting capital flows.

marsbit06/08 05:14

Different Choices After the Plunge: Institutions Buy the Dip, Traders Shift to US Stocks

marsbit06/08 05:14

Tech Stocks in the Midst of Deleveraging: Rather Than Rushing to Buy the Dip, Wait for the Macro Environment to Stabilize First

"Technology Stocks in Deleveraging Phase: Wait for Macro Stability Before Buying the Dip" The current sell-off in tech/AI stocks is primarily driven by macro headwinds, not a breakdown in AI fundamentals. After a parabolic rise, the market faced a perfect storm: an overcrowded trade, a massive SpaceX IPO draining liquidity, pre-CPI/PPI/FOMC hedging, and strong jobs data renewing "higher-for-longer" rate fears. This triggered a concentrated deleveraging in hot tech names. Key historical context: Unlike the December 2023 sell-off focused on AI capex returns, the current correction centers on the "denominator" – rising concerns over rates, inflation, the Fed, geopolitics, and liquidity. Leading memory stocks like Micron have seen ~20% pullbacks, significant but not yet at panic levels seen in March. The intense selling wave may be largely over, but a quick V-shaped recovery is unlikely. The market will likely churn in high volatility, awaiting clarity. The immediate catalyst needed for a sustainable reversal is a "stop-bleeding" signal from macro conditions. This doesn't require a major positive shock (like the April Iran ceasefire), but simply a halt to further deterioration: CPI not surprising hotter, Treasury yields stabilizing, the Fed not turning more hawkish, and post-SpaceX IPO liquidity easing. Once macro pressure plateaus, the intact AI investment thesis – centered on persistent compute/memory shortages and accelerating commercialization – can quickly regain market focus. The strategy is clear: prioritize monitoring macro stabilization over rushing to bottom-fish individual AI stories. Patience is key.

marsbit06/08 05:07

Tech Stocks in the Midst of Deleveraging: Rather Than Rushing to Buy the Dip, Wait for the Macro Environment to Stabilize First

marsbit06/08 05:07

South Korean Stocks Plunge, Global Funds Liquidate: Has the Semiconductor Fundamentals Really Changed?

South Korean stocks experienced their sharpest decline of the year, with the KOSPI index plunging nearly 9% on Monday, triggering a market circuit breaker. Leading semiconductor firms Samsung Electronics and SK Hynix were heavily sold off, raising questions about whether the AI-driven bull market has reached an inflection point. This sell-off was largely triggered by a significant drop in the U.S. semiconductor sector late last week. Concurrently, NVIDIA CEO Jensen Huang visited Seoul over the weekend, meeting with top executives from SK Group, Samsung, LG, and NAVER. He announced a new multi-year partnership with SK Hynix to co-develop next-generation memory products for AI data centers. Huang emphasized that AI infrastructure build-out remains in its early stages, creating a stark contrast between market panic and ongoing, strengthened industry collaboration. The article argues that South Korea has become one of the most sensitive markets for global AI-related capital flows, functioning like a large AI memory ETF due to the heavy weighting of its chipmakers. The current market turmoil reflects a shift in investor focus: from simply betting on overall AI growth to scrutinizing which companies will actually capture the profits from that growth. This "profit pool reassessment" phase is causing high volatility based on supply chain news and earnings guidance. Ultimately, the direction of the Korean market will be determined by external factors—NVIDIA's orders, HBM supply-demand dynamics, and capital expenditures from cloud service providers—rather than domestic conditions. The disconnect between sharp price corrections and continued strong signals from the industry core leaves the market at a crossroads, awaiting clearer data on the durability of AI infrastructure demand.

marsbit06/08 04:29

South Korean Stocks Plunge, Global Funds Liquidate: Has the Semiconductor Fundamentals Really Changed?

marsbit06/08 04:29

Trump in Talks with AI Companies Over Profit Sharing, A Narrative Pressure of Industrial Revolution Scale Begins

In recent AI market discussions, a new dimension beyond growth and profits has emerged: the question of how the immense wealth potentially generated by AI should be shared with the wider public. Triggered by reports of White House officials discussing "voluntary equity transfers" with top AI firms, similar to models like Alaska's Permanent Fund, the conversation focuses on public wealth funds. OpenAI's own whitepaper proposes such funds, allowing households without direct tech stock ownership to benefit from AI gains. More radical proposals, like Bernie Sanders' call for high public equity stakes and board seats, represent an extreme end of the spectrum. Currently, these are early-stage policy probes, not enacted laws. OpenAI's initiative is seen as an attempt to secure "social license" for its future expansion, mitigating risks of public backlash, stricter regulation, or anti-trust actions as AI's economic impact grows. The core market implication is the introduction of a "policy discount" to AI valuations, particularly for private model companies like OpenAI, Anthropic, and xAI. Investors must now consider not just future earnings but also what portion might be allocated to public mechanisms. The impact varies greatly based on the mechanism. A small, voluntary transfer of non-voting economic rights (e.g., 5%) acts as a quantifiable long-term cost. Government acquisition of economic rights via warrants tied to support differs from direct equity with governance power. The most disruptive scenario would be forced high-percentage public ownership affecting control and innovation incentives. Key signals to watch include whether other AI companies follow suit, if the White House formalizes proposals, related disclosures in future IPO documents, and any market price reactions. For now, this represents a shift from pricing pure AI growth to pricing its potential distribution. A manageable, voluntary economic share is akin to an insurance cost for societal acceptance, while a forced shift toward control and governance would fundamentally alter valuation logic.

marsbit06/08 04:25

Trump in Talks with AI Companies Over Profit Sharing, A Narrative Pressure of Industrial Revolution Scale Begins

marsbit06/08 04:25

From Record Highs to a Two-Week Low: Why Did AI Concept Stocks Suddenly Pull Back?

From Record Highs to Two-Week Lows: Why Did AI Stocks Suddenly Pull Back? U.S. stock indices, led by the tech-heavy Nasdaq 100, fell sharply to two-week lows. This marked a reversal from earlier in the week when AI infrastructure and semiconductor stocks had propelled major indices to record highs. Investors are rotating out of these previously high-flying tech sectors into other areas. The sell-off was driven by profit-taking and concerns that the AI rally had become overextended, exacerbated by chipmaker Broadcom's sales outlook falling short of lofty market expectations. The decline accelerated following a stronger-than-expected U.S. May nonfarm payrolls report, which showed 172,000 jobs added versus an estimated 88,000. This data sparked a jump in bond yields, with the 10-year Treasury yield rising to 4.553%, as it reinforced market speculation that the Federal Reserve's next move could be a rate hike rather than a cut. Globally, equities also declined, with European and Asian markets falling. Within the U.S. market, chip and AI-related stocks like Super Micro Computer and Arm Holdings led the losses, dropping over 7%. Cryptocurrency-linked stocks and mining shares also fell sharply amid drops in Bitcoin and commodity prices. While the overall Q1 earnings season remained solid, with 83% of S&P 500 companies beating estimates, the weakness was concentrated in tech. Excluding the tech sector, Q1 earnings growth was around 3%, the weakest in two years.

marsbit06/08 04:24

From Record Highs to a Two-Week Low: Why Did AI Concept Stocks Suddenly Pull Back?

marsbit06/08 04:24

Earning Bounty with a Forehead Tattoo? pump.fun Keeps Memes Alive Through 'Bounties'

The article discusses the launch of pump.fun's new bounty platform "Pump.fun GO," which allows meme coin holders to lock funds as rewards for completing specific, often outrageous, marketing tasks to promote their tokens. Examples include a $50,000 bounty to skydive into a World Cup match in a mascot costume and a bounty for getting a forehead tattoo (with a typo) of a token name. The platform has sparked controversy for its perceived copycat nature compared to existing Web3 bounty platforms and its "crazy" tasks, while also granting pump.fun unilateral authority to approve or reject submissions. The move is analyzed as a strategic effort by pump.fun to revive declining platform revenue and meme coin engagement, following a pattern from its earlier, chaotic live-streaming feature. The core logic is that meme coins, lacking fundamentals, rely on manufactured attention and events, with GO formalizing this by outsourcing promotional stunts to bounty hunters, all aimed at boosting token visibility and price.

Foresight News06/08 04:02

Earning Bounty with a Forehead Tattoo? pump.fun Keeps Memes Alive Through 'Bounties'

Foresight News06/08 04:02

JP Morgan Mid-Year Research Report Analysis: The AI Supercycle is Not Over, Reduce Cash Holdings + Allocate to Real Assets

JP Morgan's 2026 Mid-Year Outlook argues the AI supercycle is far from over, despite market pessimism. The report advises clients to reduce cash holdings, increase allocations to real assets as an inflation hedge, and focus on emerging markets. Key conclusions include: 1. **AI Supercycle Intact**: Hyperscalers' 2026 capex forecasts exceed $650B, with AI contributing to GDP growth. However, their financial profile is shifting toward heavy investment, compressing free cash flow. 2. **SaaS Disruption**: Traditional software companies are being negatively impacted by AI, with significant stock declines and pressure in credit markets. 3. **Persistent Inflation**: Core inflation is structurally higher post-pandemic. Holding excess cash and bonds leads to real wealth erosion. Recommendations include commodities, infrastructure, real estate, and gold. 4. **Geopolitical Shocks & Opportunities**: The Hormuz Strait blockade caused a major oil shock, but JP Morgan views the subsequent equity market pullback as a buying opportunity. "Fragmentation" is creating pockets of value, notably in resource-rich Latin America, AI-supply-chain-linked East Asia, and deeply discounted Chinese equities, where a policy shift could trigger a re-rating. 5. **Regional Views**: The firm is cautious on Europe due to high energy costs and lower innovation investment, preferring US and select EM exposures. In short, JP Morgan sees market volatility as an entry point but recommends a portfolio pivot: favor AI infrastructure, real assets, and EM, while avoiding excess cash, vulnerable software firms, and traditional 60/40 stock-bond allocations.

marsbit06/08 03:59

JP Morgan Mid-Year Research Report Analysis: The AI Supercycle is Not Over, Reduce Cash Holdings + Allocate to Real Assets

marsbit06/08 03:59

BTC Sideways Movement ≠ Industry Decline, Ansem: Bullish on These Three Undervalued Crypto Tailwinds

The article argues that the current Bitcoin consolidation does not signify a decline of the crypto industry. It identifies three underestimated long-term structural trends: stablecoins, perpetual futures, and tokenization, which continue to expand within the global economy. These trends are seen as driving future successful crypto ventures, with Hyperliquid cited as an early example. While acknowledging temporary headwinds for major assets like Bitcoin (due to perceived "Ponzi" dynamics and quantum computing concerns) and Ethereum (due to competition and poor tokenomics), the author contends the industry is simply maturing. The convergence of improving regulation, adoption by traditional firms, and three specific AI-related catalysts—more competitive open-source AI, easier startup creation, and blockchain as superior infrastructure for AI agent transactions—is expected to fuel more, not fewer, crypto innovations and token experiments.

marsbit06/08 03:28

BTC Sideways Movement ≠ Industry Decline, Ansem: Bullish on These Three Undervalued Crypto Tailwinds

marsbit06/08 03:28

The Post-Plunge Panorama: Institutions Cry 'Buy the Dip' as Traders Turn to U.S. Stocks

Amidst a significant market correction, Bitcoin (BTC) briefly fell below the $60,000 mark to around $59,130 on June 6th. While it later rebounded to near $63,000, breaking the key psychological level severely impacted market confidence, with the current sentiment index indicating "extreme fear." Altcoins followed the broader downturn. Market participants offer mixed views on whether this is a buying opportunity. On the bullish side, analysts from Glassnode and Strive Asset Management point to Bitcoin touching its 200-week moving average—a historically reliable buy signal—and suggest a higher-probability bottom zone between $46k and $54k. Standard Chartered's digital assets head believes the bottom is "almost in," anticipating large-scale buybacks. Analysts Darkfost and trader Killa also see current levels as a generational or long-term accumulation opportunity, citing deeply oversold technical models. Conversely, NYDIG's research highlights capital rotation from crypto into outperforming AI stocks as a headwind, noting the current ~53% drawdown is milder than historical cycles. Polymarket prediction data shows a 72% probability of BTC falling below $55k, though odds for a drop below $35k-$40k are seen as lower. Notably, some traders, like Eugene Ng, have pivoted away, citing more attractive opportunities in equities and unresolved systemic risks (referencing a major entity's BTC sales), and are avoiding attempts to "catch a falling knife." In summary, while several institutional voices and on-chain metrics suggest a nearing bottom and a strategic buying zone, significant near-term downside risk remains acknowledged. The market exhibits a clear divide between those seeing a historic entry point and those withdrawing to wait for clearer signals or better risk/reward ratios.

Foresight News06/08 03:24

The Post-Plunge Panorama: Institutions Cry 'Buy the Dip' as Traders Turn to U.S. Stocks

Foresight News06/08 03:24

Ray Dalio: The Return of a China-led 'Tribute System', and the AI Industry Will Develop Like the Electric Vehicle Industry

Ray Dalio, founder of Bridgewater Associates, discusses shifting global power dynamics and AI competition between China and the US. Following recent visits to China by world leaders, Dalio observes a decline in the perceived reliability of the US as a global power and a rise in China's influence. He suggests a modern "tribute system" is emerging, where nations acknowledge China's strength, impacting global trade and security. This geopolitical shift creates market uncertainty, leading Dalio to advise investors to diversify assets, including holding gold. Regarding AI, Dalio contrasts the approaches of the two nations. He states China views AI as a public utility, akin to electricity, aiming for broad workforce accessibility over immediate profitability. Chinese companies focus on widespread adoption and productivity gains, following a strategy similar to their success in the electric vehicle industry. In contrast, US AI firms are more focused on commercialization and subscription models. A Morgan Stanley executive noted the Chinese perspective lacks fear of AI displacing jobs, instead emphasizing its use to drive development and dominate future industries like robotics.

marsbit06/08 03:18

Ray Dalio: The Return of a China-led 'Tribute System', and the AI Industry Will Develop Like the Electric Vehicle Industry

marsbit06/08 03:18

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