To The Moon

$Apple(AAPL)$  Happy to be apple shareholder [Miser]  [Miser]  [Miser]   Apple is a great company with strong financial background and great leaders 

$Direxion Daily Semiconductors Bull 3x Shares(SOXL)$ sold some to lock in the profits. it will go down again then buy more around $250 or below

$Fermi Inc.(FRMI)$ undervalued.. it should be some where close to $CoreWeave, Inc.(CRWV)$   , $NEBIUS(NBIS)$  and $APPLIED DIGITAL CORP(APLD)$  [Miser]  [Miser]  [Miser]  

$HSAI 20260618 35.0 CALL$ Didn't expect the stocks tanked so much, it was around 24 when I opened this last month, anyhow I am happy with the win🤭

$LNK.HK 20260629 43.00 CALL$ 2 weeks to go, this should be in the pocket liao 🤭

$Advanced Micro Devices(AMD)$  see the price once again! It's always flying to the moon! $SpaceX(SPCX)$  Waiting it drops more then just click buy! Easy action easy money! Gogogo!

A first sell rating matters more as a sentiment signal than a valuation discovery. At current levels, the debate is no longer whether SpaceX is a great company, but whether the market has already priced in years of success from Starship, Starlink, defence contracts, and future businesses. History shows that strong narrative stocks can remain detached from traditional valuation metrics far longer than bears expect. The first sell call rarely marks the exact top. However, once expectations become extreme, execution misses tend to be punished much more severely. If I already held a large gain, I would be more inclined to gradually de-risk than aggressively add. Taking partial profits preserves upside exposure while reducing the risk of a sharp sentiment reversal. If I had no position, I would

$IBM(IBM)$ 人棄我取，沉睡剛醒來，怎會咁快玩完？  IBM 六大核心競爭優勢（對比英特爾、微軟、AWS、谷歌，截至2026年6月） IBM的差異化護城河集中在**政企關鍵業務、混合雲底層、合規企業AI、完整諮詢交付、大型主機壟斷、量子全生態**六大板塊，是市場唯一同時具備硬體、軟體、雲、顧問、量子全堆棧能力的企業級廠商。 ## 一、Z系列大型主機：無可替代的現金牛與高門檻護城河 1. **市場壟斷地位**：全球90%以上商用大型主機市佔，70%全球信用卡交易、每日9兆美元金融交易跑在IBM Z上；92%大型銀行、63%政府機構依賴，財富500大企業71%部署主機。 2. **替換成本極高、客戶鎖定強**：COBOL核心交易系統積累數十年，遷移動輒數十億成本、數年工期；客戶續租率超90%，穩定高毛利循環收入，是IBM抗週期現金壓艙石。 3. **原生安全+內建AI加速獨特優勢**：新一代z17搭載Telum II專用AI晶片，可在主機本地完成詐欺偵測、大模型推理，敏感數據不用移出本地；具備量子安全加密、全链路合規審計，AWS/Azure/英特爾x86伺服器無法達到同等等級監管標準。 4. 2025年末主機營收創20年新高，傳統產業數位化反而帶動主機升級需求，與x86伺服器走勢脫鉤。 ## 二、Red Hat混合雲底層：跨多雲中立底層，避開單一公有雲綁定 1. **OpenShift企業容器絕對領先**：收購Red Hat奠定混合雲底層龍頭，超4000家大型企業部署，可統一調度AWS、Azure、GCP、本地機房、IBM主機所有負載，業界唯一真正中立容器平台。 2. **與競品差異**：微軟強制綁Azure、AWS強制綁自身雲，只有IBM OpenShift主打「不

Fresh highs are bullish, but parabolic moves are where risk and reward start to diverge. The memory story is fundamentally stronger than it was in previous cycles. AI training clusters and inference workloads are driving demand for high-bandwidth memory, benefiting companies such as Micron Technology and Sandisk. Unlike past DRAM booms driven mainly by PCs and smartphones, AI data centres are creating a new source of demand. That said, markets rarely move in a straight line. A stock making new highs after a 10% single-day surge often attracts momentum traders, making the trade increasingly crowded. When expectations become extreme, even good results can trigger profit-taking. If you're already long, holding or trimming into strength is easier to justify than chasing. If you're underweight,

$Tesla Motors(TSLA)$ 這個價位比較安心持有 特斯拉六大核心競爭壁壘（2026現況，從製造成本→軟體數據→生態全鏈獨佔） 特斯拉競爭力本質：**全產業鏈垂直整合+數據自增長閉環+製造工業革新+獨立補能生態**，傳統車廠、新勢力很難單點複製，分成六大模塊。 ## 一、垂直全鏈自研：從礦→電芯→晶片→軟體一體化（成本底層優勢） 多數車廠零件外採、電池向寧德時代/LG採購，特斯拉自上至下關鍵環節自產自研： 1. **上游礦料精煉**：自建鋰精煉廠，繞開中游冶煉廠溢價，平抑鋰鈷原料週期波動； 2. **電池自研自產**：4680無極耳大圓柱電芯+乾式電極工藝、CTC電池底盤一體化，電池直接做車身結構件，省殼體與模組空間，同體積提升續航、壓低整車自重； 3. **三電全自研**：永磁同步油冷電機（效率＞97%）、全自研BMS電池管理系統，動力能耗行業頂尖； 4. **自駕晶片自製**：HW3/HW4車載FSD晶片、Dojo超算全自主設計，不依賴英偉達、英飛凌外購方案； 5. **整車軟體全原生開發**：車機OS、動力控制、自駕、熱管理代碼自研，OTA不受第三方軟件商牽制。 **效果**：同級別車型，物料成本較豪華電動車低15%～25%，定價靈活、毛利穩居行業第一。 ## 二、製造工藝顛覆：一體壓鑄+超級工廠，重塑造車成本曲線 ### 1. 巨型一體壓鑄（Giga Press） 6000～9000噸壓鑄機把原本數十塊後地板鈑金，一次性壓成單個鑄件：零件從70+縮至1件、焊點幾乎清零、生產時長由數小時壓縮至3分鐘，整車製造成本、人工、廠房佔用同步下降。搭配4680的CTC結構，車身輕量化+剛度雙提升。 ### 2. 超級工廠精益產線 上海、德州、柏林等超級工廠本地化供應鏈，上

For $TSLA: Two things are clear. 1. Robotaxi will scale eventually , and there are massive preparations being made to do so. 2. The stock is in a painful decline and will keep declining until something tangible happens. This puts us in a tricky situation: we can’t bet on a short term move up , but have to be prepared at the same time. This thing can keep bleeding for months as long as nothing happens. At the same time, dozens of cybercabs could be released into the wild at any time , pushing this to $490 within a week. So, the best way to handle this is either long term holding and accumulation, or for the alpha chasers , OTM churn strategy with a keen daily eye on any development and readiness to jump in hard while something moves.

For $TSLA: Two things are clear. 1. Robotaxi will scale eventually , and there are massive preparations being made to do so. 2. The stock is in a painful decline and will keep declining until something tangible happens. This puts us in a tricky situation: we can’t bet on a short term move up , but have to be prepared at the same time. This thing can keep bleeding for months as long as nothing happens. At the same time, dozens of cybercabs could be released into the wild at any time , pushing this to $490 within a week. So, the best way to handle this is either long term holding and accumulation, or for the alpha chasers , OTM churn strategy with a keen daily eye on any development and readiness to jump in hard while something moves.

​Samsung Electronics $Samsung Electronics Co., Ltd.(SSNLF)$   is accelerating a massive strategic shift, aiming to transition its semiconductor manufacturing facilities into 100% automated, "lights-out" factories completely free of human labor by 2030. ​While the company publicly frames the transition around manufacturing precision and resolving severe regional labor shortages, industry analysts point to a deeper structural motive: breaking the leverage of its increasingly aggressive labor unions following a series of highly disruptive, costly wage and bonus disputes in early 2026. ​The Catalysts: A Bitter Bonus War ​The momentum for the "no-worker" fab dramatically intensified after unprecedented labor friction within Samsung’s Device

The era of the "Fed Put" and easy money lifting all boats is officially OVER. We are entering a brand new market reality. Market Tantrum ➔ Fed "Pleases" the Market ➔ Excess Liquidity (QE) ➔ Runaway Inflation ➔ Asset Bubble ➔ Forced Aggressive Hikes ➔ Bubble Bursts 💥 When a Fed Chair constantly moves to please the market by pumping liquidity (free money) at the first sign of trouble, it creates a dangerous chain reaction.  Under the old way of doing things, when the Fed pleased the market, it caused all stocks to rise indiscriminately. That wasn't because the companies were suddenly more productive or profitable—it was just massive inflation inflating asset prices. It was a "rising tide" made of paper money. Warsh’s refusal to spoon-feed Wall Street means a stock won’t rise just becaus

$Micron Technology(MU)$ $SanDisk Corp.(SNDK)$  $Intel(INTC)$  🚀💾⚡ Semiconductor Supercycle Ignites as Institutional Call Flow Floods AI Chip Leaders ⚡💾🚀 🔥 I’m watching semiconductor positioning closely today because the options market is sending an unusually strong signal: institutional traders are aggressively leaning into the companies powering the next phase of AI infrastructure growth. The semiconductor sector is ripping higher ahead of the long holiday weekend as bullish options activity, analyst upgrades, and renewed US manufacturing optimism combine to drive a powerful risk-on move. 📊 The options market is showing significant conviction:

🌟🌟 Artificial Intelligence has created unprecedented market value but the window for trading on pure hype is slamming shut.  The core question haunting the market is whether actual commercial adoption can grow fast enough to sustain today's sky high tech stock valuations. Building AI infrastructure is brutally capital intensive.  Companies are discovering that deploying AI models involves immense energy consumption & massive cloud spending. Nonetheless there are 3 tech stocks that can withstand this volatility: $Alphabet(GOOG)$ self funds its massive USD 175 billion Capex entirely out of its own operations, carrying neglible debt exposure. $NVIDIA(NVDA)$ has an unrivalled monopoly in the

$Rigetti Computing(RGTI)$ 先賣了20.58批貨套利 量子電腦未來發展趨勢 量子電腦正從實驗室原理驗證加速邁向工程化與產業化，未來十年將沿著\*\*硬體規模化、錯誤校正實用化、專用機優先落地、量子與AI融合、網路互聯與安全升級\*\*六大主線推進，中長期朝通用容錯量子運算與全球量子網際網路發展。 \--- \## 一、硬體：多技術路線並行，規模與保真度同步提升 \- **超導量子**：仍是主流技術路線，量子位元數量持續突破（如IBM、Google），核心目標為提升\*\*閘保真度（逼近99.9999999%）\*\*與同調時間，降低運算錯誤率。 \- **光量子（中國優勢領域）**：具備室溫穩定、低損耗特性，「九章」系列不斷刷新光子纏結紀錄，產業化門檻低，預計3至5年內可縮減至桌上型電腦尺寸。 \- **中性原子／離子阱**：擴展性高、同調時間長，中性原子技術路線快速崛起（如中國「漢原」系列），目標在2027至2030年推出千位元等級專用量子電腦。 \- **矽基量子**：2026年已實現原子級精度全堆疊邏輯運算，未來將依託成熟半導體製程，實現低成本量產。 \## 二、錯誤校正：從NISQ過渡至容錯運算，邁向實用化關鍵突破 \- **短期（2025-2030）**：量子錯誤校正走向規模化，邏輯量子位元突破10個，表面碼等新型校正碼降低實體量子位元消耗，推動NISQ（雜訊中型量子）電腦於特定領域商業化應用。 \- **中期（2030-2040）**：\*\*通用容錯量子電腦\*\*問世，數千個邏輯量子位元可穩定運行，能夠執行Shor演算法等複雜運算任務，徹底重塑密碼安全與運算算力格局。 \## 三、應用：專用場域優先發展，2025-2030年迎來爆發式落地