Lanceljx

High intelligence does not necessarily correspond to high wisdom.

    • LanceljxLanceljx
      ·04-05 12:15
      $Tiger Brokers(TIGR)$ That is an interesting symbolic overlap. Qingming Festival and Easter rarely fall so close together, yet philosophically they represent opposite ends of the same cycle: remembrance and renewal. The symbolism of this “spring crossover” Qingming Festival reflects memory, roots, ancestry, and continuity. It is about looking backward with respect. Easter represents rebirth, hope, and new beginnings. It is about looking forward with optimism. Together, they form a complete cycle: remember the past, then move forward with renewal. In a broader sense, this is also how many cycles work: Winter → reflection Spring → renewal Summer → growth Autumn → harvest Then repeat Seasonal clues (economic and market perspective) Spring periods hi
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    • LanceljxLanceljx
      ·04-05 12:14
      The question now is really about oil, war risk, and market timing, so we need to separate two things: 1. Will oil make new highs 2. Whether this is a good time to buy stocks --- Will oil set a new high? Short answer: Yes, there is a real possibility, but it depends on whether energy infrastructure or the Strait of Hormuz is affected. Historically, oil spikes when: Supply disruption Tanker routes blocked Energy infrastructure bombed War spreads regionally If Iran oil exports or Strait of Hormuz shipping is disrupted: Oil can spike very fast Prices can overshoot fundamentals Then crash later when fear fades Rough scenario framework: No supply disruption → Oil $95–110 Limited infrastructure strikes → $110–130 Strait of Hormuz disruption → $130–180 spike possible Full regional war → temporary
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    • LanceljxLanceljx
      ·04-03 13:29
      This is essentially about how a long-term capital allocator thinks, not how a trader thinks. The difference is important. --- Q1: What is Buffett’s “big decline”? When Warren Buffett says “big decline”, he is not talking about a normal correction. Historically, Buffett deployed aggressively during: 1973–74 bear market 1987 crash 2000 dot-com crash 2008 Global Financial Crisis 2020 COVID crash These were typically 30%–50% market declines, not 10%. So in practical terms: −10% → correction −20% → bear market −30% → serious bear −40% to −50% → Buffett territory In other words, Buffett is waiting for panic, forced selling, liquidity crisis, not just volatility. --- Q2: If I were Buffett right now, what would I do? Buffett usually does three things: 1. Hold large cash/T-bills 2. Wait for forced
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    • LanceljxLanceljx
      ·04-03 13:28
      The headline miss is real, but the more important signal is demand quality. Tesla reported 358,023 deliveries and 408,386 production in Q1 2026, with 8.8 GWh of energy storage deployments. That leaves roughly 50,000 more vehicles produced than delivered, which points to a meaningful inventory build rather than a clean growth quarter.  Why the market is reacting negatively: 1. Deliveries missed expectations. Reported consensus estimates ranged around 368,900 to 372,160, so Tesla came in clearly below the street.  2. Inventory buildup is worsening. Reuters and other outlets highlighted the delivery-production gap as evidence of softer end-demand and possible future discounting or production cuts.  3. Core EV business still matters most. Tesla is pushing robotaxis, Optimus and
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    • LanceljxLanceljx
      ·04-02
      Q1: Q1 performance Likely B / B+ for most AI-heavy portfolios. March drawdown hurt tech, but energy, defence, utilities and AI infra offset losses. Not an easy quarter, but not a disaster either. Q2: During March selloff Correct actions would be: Do not panic sell core AI / infra stocks Add slowly on big red days Avoid small caps and speculative names Hold some cash Consider oil/gold as hedge March was macro fear, not AI earnings collapse. Q3: Is April the bottom? Most likely April = base building, not straight rally yet. Market needs clarity on oil, CPI and Fed cuts. Likely path: > March selloff → April/May bottoming → Q3 rally Unless oil spikes above ~$120 again, then downside risk returns.
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    • LanceljxLanceljx
      ·04-01
      Mag 7 Rebound on Last Day of Q1 – Bottom or Dead Cat Bounce? I would frame the current situation like this: the rebound is real, but the bottom may not be confirmed yet. There are three forces driving the rebound: 1. Oil pulling back from highs 2. War deadline approaching with hope of de-escalation 3. End-of-quarter rebalancing and institutional buying 4. Mag 7 became technically oversold after the correction So this rebound is not random, but it also does not automatically mean a new bull run starts immediately. --- Is This a Dead Cat Bounce? To determine this, we look at what typically defines a dead cat bounce: Dead cat bounce characteristics: Sharp drop Fast rebound Weak volume Bad macro still unresolved Market rolls over again after 1–2 weeks Right now: Macro risks still exist (oil, w
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    • LanceljxLanceljx
      ·04-01
      Memory Sector Turbulence – Thesis Broken or Still Intact? Short answer: The memory bull market is volatile, but not broken. However, expectations must be adjusted. 1. What actually caused the crash? The selloff was driven by two fears: 1. TurboQuant reduces memory needed per AI inference 2. OpenAI cancelling large HBM / memory orders The market interpreted this as: > AI memory demand may peak earlier than expected So the correction was a demand narrative shock, not an earnings collapse. --- 2. Has the memory thesis changed? The thesis has evolved, not collapsed. Old thesis (2025): AI = unlimited HBM demand → memory supercycle New thesis (2026): AI efficiency improves → but usage explodes → total memory demand still rises This is similar to: SSD became cheaper → people stored more data I
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    • LanceljxLanceljx
      ·04-01
      1. Dead cat bounce or start of Q2 rally? Short answer: Most analysts think this is still a technical bounce, not a confirmed new bull leg yet. Recent analysis suggests the Nasdaq rebound looks more like an oversold bounce than a fundamental turnaround, because the macro risks (oil, war, Fed) have not fully resolved yet.  However, the broader market is now trading around 12% below fair value, meaning valuations are becoming attractive after the Q1 selloff.  So the likely scenario: Short term: volatile rallies and drops Q2 direction depends on earnings (mid April) and war/oil If earnings OK → Q2 recovery If guidance weak → another leg down My view: This is probably relief rally / oversold bounce first, then market decides direction after earnings. --- 2. Oil at $104 – Inflation gho
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    • LanceljxLanceljx
      ·03-31
      Q1 2026 Tesla delivery expectations Latest analyst consensus is ~365,000 deliveries for Q1 2026. Analysts expected ~382k previously Some banks estimate as low as 345k Prediction markets show most expect 350k–375k Important context: Q1 is usually Tesla’s weakest quarter China Lunar New Year slows sales Sequential drop from Q4 is normal  So realistic range: Scenario Deliveries Bear <350k Base 360k–370k Bull >380k --- My expectation for Q1 deliveries Personally, based on Europe recovery + China slowdown: My estimate: ~360k–370k Meaning: Slight miss vs old expectations But not a disaster Market reaction depends on guidance, not just deliveries --- Can Tesla hold $350? $350 is indeed very important technical support. Key levels: Price Meaning 400 Resistance 380 Resistance 350 Major s
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    • LanceljxLanceljx
      ·03-31
      First: Why Micron is crashing The drop is not due to earnings. It is due to AI memory demand fears. Main reasons: 1. Google TurboQuant reduces AI memory usage by ~6×. 2. Fear that AI inference will use less DRAM/HBM. 3. OpenAI scaling plans uncertain. 4. Memory stocks were extremely overbought before this. TurboQuant “could reduce memory needed for AI models by six times,” which triggered memory stock selloff globally.  But importantly: Analysts say selloff may be overdone AI capex still rising DRAM prices expected to rise >50% in Q2 Supply still tight into 2027 This is very important: Memory demand is still strong despite TurboQuant. --- Has the memory thesis fundamentally changed? Short answer: No, but the narrative changed slightly. Old thesis AI → more compute → more memory → H
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