July 16 $Alphabet-C (GOOG.US)$Opened high but closed low, falling over 4% in a single day.The core reason, according to Bloomberg,is that Google’s flagship AI model, Gemini 3.5 Pro, has been delayed by several months, primarily due to its code-writing capabilities failing to meet internal benchmarks.Additionally, the model has shown insufficient stability in real-world programming scenarios such as multi-file collaboration, toolchain invocation, and long-task workflows. It still lags significantly behind OpenAI’s GPT-5.6 (96.2% on SWE-bench) and Claude Fable 5 (95% on SWE-bench).
Moreover, Warren Buffett recently admitted in a CNBC live interview that his failure to invest in Google early was a 'mistake' and explicitly stated that Google is now 'more likely to be a winner.'This statement could provide short-term sentiment support for its stock price.
Below, we will systematically analyze the current price structure and key technical levels.
Recent stock price movement
Google's current overall structure is relatively weak,The closing price of $353.81 is below both the 20-day moving average (MA20) at $354.78 and the 50-day moving average (MA50) at $368.63,Short-term moving averages are in a bearish alignment.The stock price is trading between the middle Bollinger Band ($354.78) and the lower band ($337.63), hovering just below the middle band. It has consistently failed to reclaim this level effectively, with the middle band acting as clear overhead resistance.
Looking at the past 10...

July 15 $Apple (AAPL.US)$Up more than 4%, hitting another intraday record high and closing at $327.50.
On the news front, the key catalyst stems fromthe Cyberspace Administration of China officially confirming on the same day that Apple Intelligence has completed its AI service filing—a move signaling that long-awaited AI features for iPhone users in China are about to roll out comprehensively. The market widely views this as a pivotal turning point for Apple’s re-entry into the Chinese market.
The Chinese market is an irreplaceable core strategic market for the iPhone. However, over the past year-plus, Apple has faced persistent pressure in China, with Huawei rapidly reclaiming lost ground through its Mate series and localized AI capabilities. Tim Cook has explicitly stated on multiple public occasions that the decline in iPhone sales in China is directly tied to the unavailability of Apple Intelligence locally—consumers purchasing the latest iPhone models find none of the flagship AI features usable, creating a tangible sales barrier.This official approval now fully eliminates regulatory uncertainty.
In terms of AI ecosystem development,Apple simultaneously announced dual-track partnerships with Alibaba (leveraging the Qwen large model to enhance Siri’s intelligence) and Baidu (providing AI-powered search capabilities).Effectively mitigate compliance risks arising from U.S.-China tech tensions and further solidify market expectations regarding the rollout of Apple's China-specific AI ecosystem....

Before the market open on July 14, $IBM Corp (IBM.US)$ released an earnings warning that caught the market off guard.The stock closed down 25.21% that day, marking its steepest single-day drop on record—worse than even 1987.
While the numbers in the warning weren’t catastrophic per se, the signal it sent alarmed the market far more than the figures themselves. Goldman Sachs immediately issued a clear warning,stating outright that the IBM incident 'will fully validate a bearish scenario for software' and expecting broad-based selling pressure across the software and services sector.
The real core of the earnings shortfall: The collapse of Transaction Processing
Breaking down the internal structure of the software business is key to understanding the scale of this shortfall.
According to analysts at UBS and Goldman Sachs, weak sales of IBM’s mainframes (zSeries) severely impacted its high-margin Transaction Processing (TP) business, which is estimated to have declined by a mid-teens percentage year-over-year in Q2. The issue lies in the fact that TP accounts for nearly 30% of IBM’s total software segment revenue—this is the true leverage behind the sharp deceleration in software growth from an expected 11% to just 5%.
The AI infrastructure boom has siphoned funding away from software
To understand the root cause of this earnings shortfall, one key premise must first be established:The reallocation of enterprise IT budgets does not equate to an overall expansion of IT spending.
AI data center construction has triggered...

Since its listing, $SpaceX (SPCX.US)$ in less than a month,the stock has plunged approximately 38% from its high of $225, closing at $139.14 as of July 13.On the very day the stock broke below the $140 mark, Bank of America released a research report stating that SpaceX still offers about 68% upside potential at current levels, maintaining its 'Buy' rating and $235 price target—highlighting a significant divergence between institutional views on fundamentals and short-term technical indicators. Meanwhile, Cathie Wood’s fund chose to aggressively buy during SpaceX’s price decline, which the market interprets as a signal of long-term capital positioning.
On July 13, the U.S. Federal Aviation Administration (FAA) officially announced the conclusion of its investigation into the Starship’s 12th flight anomaly, clearing the way for the planned 13th test flight this week. Raymond James promptly reiterated its $800 price target, characterizing this upcoming test flight as a 'real-world stress test' of SpaceX’s execution capabilities and identifying it as a critical observation point that will determine the magnitude of future valuation recovery.
SpaceX is currently facing pressure not only on the valuation front but also from the supply side.The company’s internal share lock-up period will continue to expire gradually until 2027, meaning employees and early investors could gain access to additional shares for sale at any time...

While the semiconductor sector undergoes a correction amid market concerns over massive AI-related capital expenditures, Apple—the 'anchor' of tech stocks— $Apple (AAPL.US)$ has quietly reached new highs. Last week (July 13), its intraday share price toucheda record high of $323.45, and closed at $317.31, bringing its total market cap close to $4.7 trillion.Amid widespread 'AI fatigue' in the market, Apple has carved out an independent rally thanks to its unique ecosystem moat and solid financial performance. Investors can’t help but wonder: after hitting an all-time high, does the current price mark the end of the feast—or the beginning of a new leg up?
1. Interpreting Market News: Why Has It 'Stood Out from the Crowd'?
Recently, the semiconductor sector has come under pressure, prompting the market to reassess the long-term return on AI-related capital expenditures. Meanwhile, Apple has strengthened against this backdrop, driven by a clear rationale:
1. Its safe-haven appeal has become prominent, making it a 'safe harbor' for capital: Some market observers note thatApple is not participating in the 'arms race' for AI chips in data centers, which is now viewed as an advantage in the current environment. Investors are reallocating some funds away from pure-play AI infrastructure stocks—characterized by lofty valuations and high volatility—and redirecting them toward Apple, whose stable business model and strong cash flows make it a prudent choice to hedge against uncertainties in AI investments.
2. Solid fundamentals provide core support through earnings performance: According to its latest earnings report, Apple recorded revenue ofUSD 111.184 billionin the second quarter of fiscal year 2026, representing a year-over-year increase of 1...

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最近不少牛友問技術牛：「AI這麼厲害，技術分析是不是要被淘汰了？」
我的答案是：不會。但AI會讓懂技術的人更強。
技術牛的理解：AI不是取代你的判斷，而是——
1. 幫你更快發現機會（掃描效率 ×100）
2. 幫你更準確確認信號（多維度交叉驗證）
3. 幫你更嚴格執行紀律（去除情緒干擾）
本質上，AI是技術分析師最好的「副駕駛」，前提係，佢要夠專業。
舉個場景：
假設你的交易系統是「突破20日均線 + MACD金叉 + 成交量放大」：
❌ 過去：你需要逐隻自己看，可能漏掉機會
✅ 未來：AI幫你全市場掃描，符合條件即刻推送，甚至自動建倉
這就係「提升決策效率」嘅真正含義，唔係取代你嘅系統，而係幫你更快、更準地執行佢。
7.15發佈會為什麼技術派要關注？
從「牛牛AI」到「富途Skills」，富途嘅AI投資生態一直在進化。這次發佈會主題「下一個升浪 由你掌握」——2026下半年，打造全方位嘅專業AI投資生態，直接交到你手上。
技術牛判斷，這次升級大概率涉及：
✅ 智能形態識別
✅ 自動化條件策略升級
✅ AI + 技...

記憶體板塊過去兩周內經歷劇烈震盪調整，集體承受拋壓。其中 $Micron Technology (MU.US)$股價從近10日高點$1254.8大幅下滑至$948.8，累計回撤逾24%。與此同時， $SK hynix (SKHY.US)$周五（7月10日）將在納斯達克完成規模約$290億的ADR上市，預計將對板塊流動性造成一定的抽水壓力。
不過，美國銀行在本次回調後重申了「買入」評級，預估2027年全球AI相關投資規模將衝上1.5萬億美元，認為此輪半導體板塊回調屬於健康修正；ClearBridge基金同期亦大舉建倉美光，將其納入核心AI押注組合；瑞銀（UBS）也指出，美光在經歷約25%的下調後，當前晶片股「遠未達到泡沫水平」。
目前多空雙方的博弈集中體現在$891-$950這一關鍵區間的爭奪上。接下來本文將逐一梳理美光當前的技術面結構與關注重點。
美光科技（MU）
美光近期的走勢呈現出典型的強勢回調格局，短期下行趨勢清晰。當前股價已明顯跌破MA20（$1046.26），布林帶中軌隨之轉化為動態壓力，股價被壓縮在中軌與下軌（$863.51）之間的收窄空間內運...

7月8日， $BABA-W (09988.HK)$港股大漲超12%，領漲中概科技板塊。 $Alibaba (BABA.US)$美股盤前一度拉升近13%，市值在盤中重返2萬億港元以上。本次大漲究竟是超跌後的情緒面反彈，還是市場對阿里巴巴的估值定價邏輯出現了改變，本文接下來將從多維度逐一梳理。
導火索：一次非正式的財報前瞻
7月8日大漲的直接觸發點，是阿里巴巴在正式財報（定於8月28日發布）前對分析師進行的業務情況更新。核心內容包括：摩根大通預計淘寶閃購虧損從上一季度的160億元快速收窄至約100億元，大幅低於市場預期的180億元；整體電商業務的利潤穩健並恢復增長，以及在補貼退坡過程中市場份額能保持穩定。
這些資訊的關鍵意義在於，市場此前最擔心的「虧損黑洞無底化」敘事，已被管理層主動打破。
關鍵資訊一：即時零售減虧
過去數個季度，市場對阿里的最大擔憂，是其被拖進一場沒有退出路線的補貼戰爭。對於投資者而言，此前麵臨的是一個二重困境：加大補貼則利潤下降，減少補貼則市場份額崩塌。此次「減虧過程中份額穩定」的數據組合，證明阿里已找...

近期， $SanDisk (SNDK.US)$ 股價經歷了一輪劇烈回調。自6月22日創下2354.39美元的歷史新高後，股價在短短兩週內急速下探，最低觸及1485.02美元，最大回撤幅度超過37%。儘管7月8日反彈6.77%收於1727.18美元，但市場疑慮未消：這輪下跌是趨勢的終結，還是長期牛市中的一次健康回調？當前價位是否提供了布局機會？
一、消息面解讀：超級週期遇上Meta鬼故事的絆腳石
1. Meta鬼故事引發的板塊擔憂
Meta作爲全球AI算力投資最激進的巨頭之一，其資本開支預期是市場評估AI基礎設施需求的核心風向標。任何可能預示其投資減速的信號，都會引發市場對整個AI硬件供應鏈的重新定價。受此影響，存儲板塊大幅回調。
2. 財報和指引能否延續是關鍵
閃迪此前升勢主要受上季度強勁財報推動。2026會計年度第三季（截至4月3日），營收達59.5億美元，年增251％、季增97％，雙雙遠優於預期。非GAAP毛利率達78.4％，稀釋後每股盈餘（EPS）為23.03美元。管理層更預估第四季營收介於77.5至82.5億美元，EPS上看30至33美元，顯示AI儲存需...

$SpaceX (SPCX.US)$ 上市兩週多，已成為近期美股最受關注的熱門標的之一。
7月7日，SpaceX正式以史上最快速度（上市滿15個交易日）納入納斯達克100指數，然而市場反應頗具戲劇性——當天股價不漲反跌，開盤即跌超5%，全天最大跌幅超過6%，股價一度再探150美元關口。表面上「百億被動買盤」應該托住股價，實際上卻是多重力量的合力讓市場完全消化了預期買盤。與此同時，靜默期屆滿後，包括摩根士丹利（目標價$300，增持）、高盛（$205，買入）、摩根大通（$225，增持）、德意志銀行（$255，買入）、美國銀行（$235，買入）、花旗（$200，買入）、麥格理（$250，跑贏大市）等超過20家機構集中發佈首次對SpaceX的評級。整體調性偏向買入，但目標價分佈寬泛。
接下來對於SpaceX來說，隨之而來的是精心設計的分階段解禁機制。
最近也最關鍵的時間窗口，是7月底至8月初的Q2財報（預計7月25日至8月5日披露）。一旦業績公佈，普通員工和早期機構投資者即可出售其持股的20%，這是整個解禁週期中第...