To The Moon

On October 6th, a "transformative" partnership between OpenAI and $Advanced Micro Devices (AMD.US)$ drove the latter's share price to surge sharply in a single day, with an intraday peak increase of 36% and settling around 23% at close. After a brief consolidation, AMD's stock price surged again by 11% intraday on October 8th, breaking through $235 to reach a new all-time high. The rapid price spike of AMD has drawn the attention of options investors. Notably, AMD's Implied Volatility (IV) is now at the 98th percentile of its historical range, suggesting a potential decline in IV in the future. This presents a major opportunity for short-side option traders. ⚙️ The "Epic" Collaboration with OpenAI AMD and OpenAI signed a four-year GPU supply agreement for a computational capacity of 6 giga

My stock in focus today is $Texas Instruments(TXN)$ . The key takeaway from this earnings is not just the beat, but the strength across segments—industrial up over 30% and data center nearly 90% YoY, pointing to both cyclical recovery and AI-driven demand. It also suggests demand is broadening beyond hyperscalers into real economy use. Unlike names like $NVIDIA(NVDA)$ , TI plays a quieter but critical role in the AI stack through analog chips. As data centers scale, demand for power management and signal conversion rises alongside compute, making TI a “picks and shovels” beneficiary. This positioning is typically more resilient across cycles. With guidance above expectations and inventories normalizing,

This is the first time Google is clearly trying to close the loop across the entire AI stack. The key shift is not just “better chips” or “better models”, but alignment between training → inference → enterprise workflows (agents). --- 1) What Google actually changed (and why it matters) Split TPU into TPU 8t (training) + TPU 8i (inference) → mirrors how AI demand is evolving (training ≠ deployment anymore)  Big focus on inference efficiency (cost + latency) → critical because real-world AI = mostly inference, not training Launch of Gemini Enterprise (agent platform) → not just chat, but AI agents that execute workflows  Early enterprise traction (e.g. Home Depot, PepsiCo, eBay) → signals real GTM push, not just demos  👉 In short: Google is moving from “model company” → full-

You are right to question this. A clean break above $300 for Advanced Micro Devices is technically powerful, but the risk-reward has clearly tightened after such a sharp run. --- 1) What the market is pricing in now The move is not just momentum. It reflects a narrative shift: AMD is no longer “late to AI” → now seen as credible #2 to Nvidia MI-series GPUs gaining traction in: mid-tier cloud deployments cost-sensitive inference workloads Ecosystem expansion (hyperscalers, open software stack) Meanwhile, strength in Micron Technology reinforces: AI demand is broadening beyond GPUs Memory + storage + compute moving together 👉 This is why the breakout had fuel. --- 2) Why risk/reward is narrowing (a) Expectations have moved faster than fundamentals At $300+, AMD is now pricing: sustained MI30

Tesla — inflection or narrative stretch? The reaction you describe is consistent with a market at a narrative–execution crossroads. The earnings print was “good enough”, but the call raised forward uncertainty, which is why price reversed. --- 1) What actually changed this quarter Positive Revenue beat keeps core demand intact Reinforced pivot toward: Robotaxi Optimus robotics $25B capex signals serious commitment to AI/autonomy scale Negative (the real driver) HW3.0 limitation admission: Undercuts prior FSD expectations Introduces upgrade liability / trust risk Capex expansion → near-term margin compression 👉 Translation: Narrative strengthened long term, credibility weakened short term --- 2) When does the transformation realistically materialise? Be careful here. The market often pulls

Apple in the AI era Apple does not need a model builder like OpenAI or infra leader like Nvidia. It needs a product integrator. AI will be won at the interface layer: on-device intelligence privacy-first design seamless ecosystem experience John Ternus fits this. His Apple Silicon track record shows strength in hardware–software integration, which is exactly Apple’s edge. Risk: Apple moves too slowly while rivals iterate fast, and users default to external AI. Bottom line: Ternus can drive a new growth curve if he makes AI invisible, embedded, and daily-use. Otherwise, Apple risks becoming polished, but secondary.

OCBC has arguably become the most "promising" pick of the trio for Q1. While it traditionally played second fiddle to DBS in terms of aggressive growth, its conservative management is paying off in the current environment. Why it looks promising: OCBC’s share price recently touched record highs (surpassing S$22), making it the standout performer YTD. It is benefiting from the strongest loan growth among the three (nearly 7% YoY), fueled by a strategic push into ASEAN corporate lending and a resilient Singapore mortgage book.  The "Secret Sauce": Unlike its peers, OCBC has managed to keep its asset quality exceptionally clean, with Non-Performing Loans (NPLs) hitting multi-quarter lows. With its market cap crossing the S$100 billion mark, it is no longer just a "value play" but a pri

From my perspective, $NVIDIA(NVDA)$ can still reach new highs, but the path is less one-sided. The market is questioning its “one architecture fits all” GPU model, especially with Alphabet pushing specialized TPUs. Still, NVIDIA’s real moat is its full-stack ecosystem (CUDA, developer lock-in), so I see competition as gradual margin pressure, not a leadership break. On $Advanced Micro Devices(AMD)$ breaking $300, the re-rating feels justified but partly narrative-driven. AMD now captures both CPU resurgence and GPU spillover demand, which is powerful—but expectations are rising quickly. I see this as early-stage AI infrastructure upside, though I wouldn’t chase after now. For AI rally, capex trends lik

Quick thoughts on $TSLA Q1 2026 Earnings: It was a very impressive earnings report showing increasing gross margins, increasing demand, strong order backlog, FSD subscriptions, while topping Wall Street estimates. While top and bottom line beats are great, what matters is management commentary and outlook. Musk’s hesitation on Robotaxi/CyberCab and Unsupervised FSD showed a bit of uncertainty in timing. That was enough to fade the rally, retracing the entire post earnings rally. Now it looks like Tesla needs the rest of 2026 to scale Robotaxi as they are focusing on safety as a top priority to avoid accidents. Shared with subscribers that we don’t expect a V shape recovery due to the lack of significant Robotaxi scale, market skepticism, and many macro related headwinds. So this will most

Quick thoughts on $TSLA Q1 2026 Earnings: It was a very impressive earnings report showing increasing gross margins, increasing demand, strong order backlog, FSD subscriptions, while topping Wall Street estimates. While top and bottom line beats are great, what matters is management commentary and outlook. Musk’s hesitation on Robotaxi/CyberCab and Unsupervised FSD showed a bit of uncertainty in timing. That was enough to fade the rally, retracing the entire post earnings rally. Now it looks like Tesla needs the rest of 2026 to scale Robotaxi as they are focusing on safety as a top priority to avoid accidents. Shared with subscribers that we don’t expect a V shape recovery due to the lack of significant Robotaxi scale, market skepticism, and many macro related headwinds. So this will most

$American Airlines(AAL)$ $United Airlines(UAL)$  $Delta Air Lines(DAL)$  📊✈️⚖️ $AAL: Record Revenue vs a $4B Fuel Shock ⚖️✈️📊 📊 A structurally stronger airline now trading at the mercy of oil The quarter beat expectations. The outlook just got worse. 🟢 EPS: -$0.40 vs -$0.46 est. 🟢 Revenue: $13.91B vs $13.75B est. American Airlines $AAL just delivered record revenue, accelerated deleveraging, and clear evidence that demand is not the problem. Yet the stock remains down ~25% YTD and guidance has been cut. That disconnect is the story. 📊 The Real Shift: Execution Fixed, Exposure Remains Revenue reached a record $13.9B, up 10.8% YoY, driven by transa

There are a few new pieces of info from @Tesla in the last 24 hours that I think are worth highlighting: 1) Tesla ended last quarter with the highest Q1 order backlog in over two years. 2) Tesla now has 456,000 active monthly FSD subscribers, generating over $45M/month in revenue. 3) Tesla's fleet is now driving an average of 28.8 million miles per day on FSD, up 100% from just 3 months ago. 4) Tesla is increasing Model Y production at Giga Berlin by 20% starting in July, and hiring 1,000 new employees. 5) Tesla has entered into an agreement to acquire an AI hardware company for up to $2B, of which ~$1.8B is subject to certain service conditions and/or performance milestones dependent on the successful deployment of the company's tech. Tesla didn't say in its 10-Q filing which company this

There are a few new pieces of info from @Tesla in the last 24 hours that I think are worth highlighting: 1) Tesla ended last quarter with the highest Q1 order backlog in over two years. 2) Tesla now has 456,000 active monthly FSD subscribers, generating over $45M/month in revenue. 3) Tesla's fleet is now driving an average of 28.8 million miles per day on FSD, up 100% from just 3 months ago. 4) Tesla is increasing Model Y production at Giga Berlin by 20% starting in July, and hiring 1,000 new employees. 5) Tesla has entered into an agreement to acquire an AI hardware company for up to $2B, of which ~$1.8B is subject to certain service conditions and/or performance milestones dependent on the successful deployment of the company's tech. Tesla didn't say in its 10-Q filing which company this

PCT: AMD Break $300. Is AMD The Next NVDA? v1.0 : PCT = Pandas Coffee Talk. As of April 2026, Advanced Micro Devices (AMD) has broken through $300, driven by intense AI demand and expanding data center partnerships. While AMD is establishing itself as a premier alternative to Nvidia (NVDA), it is not merely the "next" NVDA, but rather a strong, competing force in the AI ecosystem with a different growth profile. AMD’s $300+ Momentum Record Highs: AMD stock recently surged past $300, reaching approximately $303.46, with a market capitalization nearing $500 billion, driven by analyst upgrades and high AI demand. Key Growth Drivers: The surge is supported by the success of EPYC processors and Instinct AI accelerators (specifically the upcoming MI455X), along with a significant partnership wit

PCT: TSLA Beat But Rise Capex to 25B. When will AI pay off? v2.0 : PCT = Pandas Coffee Talk. Based on the April 2026 earnings report, Tesla reported a Q1 2026 earnings beat, but confirmed a massive surge in capital expenditure (CapEx) to over $25 billion for the year—roughly triple the 2025 outlay—to fund AI, robotics, and the Cybercab. Management warned that this inv

Latest skepticism around US/Iran peace talks and de-escalation weighing on stocks, pushing oil higher again and earlier pushed index back above 20. Weakness comes amid more headline noise around the war (Iranian leadership uncertainty, latest Trump threats around Strait of Hormuz, reports of Iran deploying more mines in strati, Iran's attacks on regional shipping). Market continues to mostly ignore headline chop, continues to focus on ultimate progress toward ceasefire. Some other areas of focus include more evidence of resilient macro backdrop (flash PMI beats), more challenging setup after latest rally back  potential pension month-end selling (record $25B, according to GS), mixed takeaways around latest batch of earnings, optimism into Big Tech results next week (capex remains big

My stock in focus today is $Intel(INTC)$ , after a strong set of results that signals it may finally be regaining traction in the AI era. Q1 revenue and earnings beat expectations, driven by demand for AI-focused server CPUs, while next-quarter guidance also came in well above consensus. The sharp rally in after-hours trading shows sentiment is starting to shift toward cautious optimism. What stands out is that Intel is no longer directly competing with Nvidia in GPUs, but instead carving out a role in AI through CPUs as workloads shift toward inference and autonomous agents. This is a key shift, as CPUs remain critical for deployment. At the same time, partnerships with Tesla and Alphabet suggest Intel is rebuilding ecosystem relevance. That sai

$HOOD 20260508 86.0 PUT$ Limit order filled to sell Hood cash secured put. Bullish market in general. Buy the dips.

$TSLA 20260424 322.5 PUT$ 😡😡冇理由茶錢都收唔到嘅，今晚看來有機會會大波動，如果大波動就sell put 350 ，如果風平浪靜，😅就平倉抽下個禮拜新股

$VITASOY INT'L(00345)$ 🥺你有沒有咁弱，你係第一隻我賣咗都唔識嘅股份，證明收埋收埋唔知等什麼時候🤣🤣