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10-30
CRCL Fell to $76 Before Earnings. Is Someone Trying to Tell Us Something?
$Circle Internet Corp.(CRCL)$ I own a bit of CRCL and just bought some recently. So I understand why this chart feels uncomfortable. Circle closed around $80, then fell toward $76 overnight. Earnings are coming on: NOVEMBER 4 And suddenly the signals look frightening. CRCL sliding. Bitcoin weak. Crypto equities under pressure. Implied volatility around 85%. Put/call ratio around 2.93. USDC circulation recently declining. If you are holding CRCL into earnings, the obvious thought is: “Does somebody know something?” I don't think that is the right conclusion. But I also don't think we should dismiss what the market is telling us. Because there IS a problem developing underneath Circle's story. And strangely, it may also tell us exactly
TOPthinorfat: The long case only works if enterprise services and cross border payments start showing up in revenue soon. Otherwise it stays a rate sensitive USDC wrapper
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10-30
Five Themes for US Stock Market Next Week: AI Earnings, Sector Rotation & the Jobs Report
Week Ahead: November 2–6, 2026 🎯 Key Takeaway: Is Wall Street Rotating Beyond Big Tech? The biggest question for US equities next week isn't simply whether the market will rise or fall. It's whether the rally can broaden beyond mega-cap technology stocks while AI earnings and economic data continue to justify elevated valuations. Three forces deserve close attention: 📊 Market Momentum: Can the $NASDAQ(.IXIC)$ regain leadership, or will small caps and cyclical sectors continue outperforming? 🤖 Earnings Momentum: Can AI companies translate massive infrastructure investment into stronger revenue, margins and cash flow? 💰 Capital Rotation: Will Treasury yields and economic data encourage investors to rotate between growth stocks, financials and small
TOPMy choice is **B: Continue to rotate towards small-cap stocks and cyclical sectors**, but be wary of the volatility brought about by Friday's non-farm payrolls report. On October 29, the Nasdaq fell 1.38%, while small-cap stocks performed relatively strongly, with most of the S&P 500 constituent stocks rising. This is more like a reallocation of funds than a complete withdrawal from the US stock market. Next week I will focus on three signals: **① IWM/SPY relative strength: ** If small-cap stocks continue to outperform, it indicates that rotation may not be just a one-day phenomenon. **② AMD and ANET financial reports: ** Looking not only at AI order growth, but also at gross profit margin and future guidance. Strong demand for AI does not necessarily mean that current valuations are reasonable. **③ Non-farm payrolls and 10-year US Treasury yields: ** Ideally, employment will cool down moderately, yields will remain stable, and corporate profit expectations will not deteriorate. My strategy is to avoid chasing high AI leaders for the time being, and prioritize observing whether QQQ can stabilize and whether SOXX will regain its relative strength. A truly healthy bull market should not rely solely on the rise of a few tech giants, but should involve more industries. ** If small-cap stocks continue to strengthen and technology stocks stop falling, it may actually lay a more solid foundation for the next round of market rally. 🐯
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10-30
15 Invesco ETFs Have Outperformed $QQQ Over the Last 5 Years
Think $Invesco QQQ(QQQ)$ has been the undisputed winner? Not quite. A range of Invesco ETFs have delivered stronger five-year returns, led by semiconductor funds, energy strategies and momentum-focused portfolios. 🏆 Top 15 Invesco ETFs by 5-Year Performance 1️⃣ $Invesco PHLX Semiconductor ETF(SOXQ)$ — Invesco PHLX Semiconductor ETF: +32.21% 2️⃣ $INVESCO SEMICONDUCTORS ETF(PSI)$ — Invesco Semiconductors ETF: +29.42% 3️⃣ $Invesco Oil & Gas Services ETF(PXJ)$ — Invesco Oil & Gas Services ETF: +22.71% 4️⃣ $Invesco S&P 500 Equal Weight Energy ETF(RSPG)$ — Invesco S&P 500
TOPI recently studied Ai to understand how artificial intelligence can help investors uncover potentially undervalued stocks. I want to gain a deeper understanding of valuation ratios, earnings growth, cash flow, and financial strength. What particularly interests me is that these factors can be considered comprehensively, rather than just focusing on the company's stock price. In my opinion,
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10-30
Daily ETF Performance: Homebuilders Lead as Silver and Asian Equities Slide
A mixed session across global markets. Homebuilders and real estate stocks led the gains, while defense and health care also moved higher. Precious metals and Asian equities came under pressure. 🏆 Top ETF Performers 🏠 Homebuilders & Real Estate $iShares U.S. Home Construction ETF(ITB)$ +3.50% — iShares U.S. Home Construction ETF $SPDR S&P Homebuilders ETF(XHB)$ +3.37% — SPDR S&P Homebuilders ETF $Vanguard Real Estate ETF(VNQ)$ +2.27% — Vanguard Real Estate ETF 🛡️ Defense & Healthcare $iShares U.S. Aerospace & Defense ETF(ITA)$ +3.16% — iShares U.S. Aerospace & Defense ETF
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10-30
Next Week’s Earnings: What’s Your Call?
Earnings season is heating up! Next week, Palantir, AMD and Qualcomm will take their turn in the spotlight. Can AI businesses sustain their growth? How are chip businesses performing? Will share prices break higher after the results, or pull back as markets reassess expectations? All three companies plan to report after the US market closes. Dates shown below are US local dates. Earnings Predictions: Which Company Gets Your Vote? Earnings growth does not always lead to a higher share price—the key is whether results beat market expectations. Even then, the stock may fall if the good news is already priced in or the company’s outlook disappoints. Give your prediction a reason: My pick: PLTR / AMD / QCOM My prediction: Will the stock close higher or lower in the first regular trading session
TOPAmd is going to cook and market will soar once the deal is struck with Iran lets go to all time high this week is just a minor glitch in the matrix
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10-30
Tiger Hotspots | Alphabet Falls Over 12%: Is It Time to Buy the Tech Dip?
Alphabet fell more than 12% in one day, and several technology heavyweights are 20%-30% below their 2026 closing highs. That has brought the familiar buying-the-dip question back into focus. Tiger's view: It is reasonable to start screening profitable companies after these pullbacks, but there is not enough evidence to declare a bottom across technology stocks. Prices, earnings and cash flow need to be assessed together—and historical recoveries show why the time horizon matters. 01 | Stock-level selloffs and index drawdowns differ On October 29, the Nasdaq Composite closed at 26,184.72, down 1.38%. The Nasdaq-100 fell 1.38%, while the S&P 500 lost 0.30%. GOOGL dropped 12.64%, Amazon fell 4.25%, Microsoft slipped just 0.16%, and Meta rose 1.96%. The performance was sharply divided. [1]
TOPTMF’s leverage-decay risk is high at present—not because decay is a fixed daily cost, but because a 3× daily-reset long-duration Treasury vehicle is highly path-dependent. The 82.47% IV percentile and 38.84% implied volatility indicate that the options market is pricing volatility above most of its own historical range; its IV/HV ratio is 1.25, so implied volatility is also above recent realised volatility. Direxion Daily 20+ Year Treasury Bull 3X ETF (TMF) watchlist closed at US$29.85 on 2026-10-31 . It is roughly 28.88% below its 52-week high of US$41.97 and only 30.54% up its 52-week range from the low of US$24.52—evidence of a very wide risk envelope. What “3× leverage decay” actually means TMF seeks daily, not multi-month, leveraged exposure. In a clean sustained Treasury rally, the compounding effect can help; in a steady decline or a volatile back-and-forth rate market, it hurts. Thus, it is better understood as volatility drag and path risk, not inevitable cal
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10-30
Wall Street Retreats as AI Capital Expenditure Concerns and Tech Sell-Off Weigh on Markets
U.S. stock indexes closed lower on October 29, 2026, pressured by a historic sell-off in $Alphabet(GOOGL)$ shares and ongoing investor anxieties regarding heavy artificial intelligence (AI) capital expenditures. In this article we would like to share the detailed index performance metrics, sector breakdowns, individual Big Tech movements, yield and commodity reactions, and macro forward-looking analysis. 1. Major Index Performance Overview United States equity markets experienced broad-based selling pressure during Thursday's trading session, with key benchmark indexes recording significant losses. High-valuation growth sectors led the market lower, reflecting growing investor impatience with long payback horizons on corporate AI investments. 2.
TOPAI capex panic feels late to me. GOOGL and XLK look more like patience trades than broken trades
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10-30
$SFM 20261120 45.0 PUT$ Sprouts Farmers Market (SFM) watchlist : sharp reset, but fundamentals now need to stabilise Conditional view: SFM looks materially cheaper after its post-earnings collapse, but it remains a “prove it” situation rather than a clear recovery setup. The valuation has reset sharply; however, the reset followed weaker Q3 results and a significant FY2026 guidance cut, while revenue and profit growth had already slowed markedly. Price action: SFM closed at US$48.00 on 2026-10-30 , down 22.58% on the day, with volume ratio 6.15x . It is just 1.37% above its 52-week low of US$47.35 and 49.42% below its US$94.89 high. The technical trend remains in decline across both short and medium horizons. Catalyst: Q3 E
SFM PUT
10-29 22:06
US20261120 45.0
| Side | Price | Filled | Realized P&L |
|---|---|---|
| Sell Open | 0.64 1Lot(s) | +76.57% Holding |
TOP48 this close to the low feels washed out already, but does the 4.80 guide finally reset the bar low enough for revenue to surprise later
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10-30
SPX TOP 15 Earnings Rally: CVNA +15.68% — Which Winners Can Keep Running?
Hey Tigers!🐯 A 15.68% jump in Carvana and double-digit gains in cruise lines and defence stocks make a lively earnings leaderboard. But the biggest one-day winner is not automatically the strongest next-quarter opportunity. My take: L3Harris, Lilly and NXP deserve the closest fundamental follow-up. Carvana offers stronger growth momentum with greater price risk. Norwegian, Chipotle and MGM still need to prove that operating improvement can turn into durable earnings. 1 | When Did the Earnings Actually Arrive? Data as Oct29th 2026, Source Tiger Brokers. For TSCO and TPR, a specific independent catalyst for the October 29 advance was not established. For IR, the fresh release belongs to the after-close information set. My filter: first identify the catalyst; then separate repeatable operatin
TOPI would back $LHX for the next quarter. CVNA has impressive volume growth and LLY continues to benefit from strong weight-loss drug demand, but LHX offers something particularly attractive: long-term revenue visibility. Its Q3 backlog reached a record $53.2 billion, up 47% year-on-year, with a 3.2x book-to-bill ratio. Free cash flow also increased 195% to $1.3 billion, giving the growth story more financial support. I would consider buying a pullback after the earnings rally, rather than chasing the initial price reaction. My key trigger would be backlog conversion into revenue and free cash flow. A large backlog is encouraging, but it only creates shareholder value if contracts translate into profitable delivery. For me, the combination of strong order growth, improving cash generation and raised earnings guidance makes LHX the most convincing of the three right now.
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10-30
Holding Fast Through The Storm: Why I Am Not Letting Alphabet's USD500 Billion Crash Shake Me Out
🌟🌟🌟Watching $Alphabet(GOOGL)$
TOPFor this Friday, looks like US market will continue to consolidate from where they left off on Thursday. Google will continue up and down and give chance buy the dip
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10-30
Cloud Doubles, Cash Flow Turns Negative: Is Alphabet Spending Too Much on the AI Race?
$Alphabet(GOOG)$ latest quarterly results highlight one of the biggest questions facing the technology sector: how much should investors tolerate today in exchange for potential AI growth tomorrow? For months, Big Tech companies have been competing to build larger data centres, secure advanced chips and expand their AI capabilities. The market initially rewarded this spending as evidence that these companies were positioning themselves for long-term growth. However, investors are becoming more selective. Strong revenue growth is no longer enough. They want to see whether AI investment can eventually translate into sustainable profits and free cash flow. Alphabet’s latest results demonstrate why this debate is becoming more important. Sh
TOPCloud growth is nice, but capital efficiency has to show up somewhere. What incremental return are they earning on each new AI dollar?
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10-28
Hold or Sell? 7 Earnings Reports, 7 Different Risks. Here Is My Playbook.
This is the part of earnings season I love. Within roughly 48 hours, we get results from: Microsoft. Alphabet. Amazon. Intel. Strategy. Coinbase. SanDisk. But I would make a mistake if I treated all seven the same. Some I would be comfortable holding. Some I would deliberately reduce. And for some, I would rather own the stock that reacts to their earnings than gamble on the reporter itself. My rule: The bigger the information gap, the smaller my pre-earnings position. Here is how I am approaching them. 🟢 1. GOOGL: MY FAVOURITE MEGA-CAP ASYMMETRY Alphabet enters tonight's report from a very different position from Microsoft. GOOG has already corrected from roughly $338.50 toward $314-$315. That matters. Expectations have come down. I want three things: Search resilience Google Cloud accele
TOPCloud growth plus margin stability is the real test. If AI revenue shows up without opex blowing out, GOOGL looks easiest to hold.
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10-28
Google or $Alphabet(GOOG)$ Hold. Confirm that the short-to-medium trend remains intact (20 EMA above 40 EMA, price holding above key support lines) before adding subsequent tranches. Therefore support is clear, holding big position. Important to define if AI is able to monetize.
TOP20 over 40 EMA looks fine, but that setup whipsaws fast when volume fades. Trend is only intact until support gets retested hard
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10-28
🟢 Earnings Night Strategy: Riding Volatility with High Conviction Earnings announcements often trigger knee-jerk market reactions, but for long-term investors, single-quarter volatility is secondary to structural growth. Heading into earnings for high-conviction tech and semiconductor leaders, my default strategy is to Hold. Attempting to time earnings night exposes capital to Implied Volatility (IV) crush and irrational overnight swings. Instead of trimming quality compounders to avoid short-term noise, I focus on fundamental health: gross margin expansion, free cash flow conversion, and forward demand guidance. A quarterly report rarely dismantles a multi-year thesis. If a post-earnings sell-off occurs despite solid underlying metrics, I view the dip not as a signal to exit, but as a
TOPFree cash flow conversion matters more than the headline beat here. If cash actually follows revenue, post-earnings dips are just noise
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10-30
MSFT vs GOOG - AI race is "On". Who wins ?
Q3 Earnings are here ! On Wed, 28 Oct 2026 the 2 megacap, tech giants - $Microsoft(MSFT)$ and $Alphabet(GOOG)$ announced their quarterly earnings, after US market closed. Both showed strong cloud growth but strangely enough, the market treated them very differently. MSFT shares popped after hours while GOOG stock sank. Why ? Preliminary analysis suggests that a big part of the answer is how each plan to pay for the massive outlays, both have planned. Accelerating Cloud Growth. (1) MSFT earnings at a glance: MSFT beat Wall Street's targets with sales/revenue up +19% YoY, reaching $92.3 billion and exceeding consensus estimates of approx. $90.63 billion. Earnings per share (GAAP) came in at $4.92. Net Incom
TOPOn Thursday, a day after Q3 earnings released, GOOG plummeted -12.29% on, closing at $282.32 amid a broader market sell-off. Drop was fueled by decelerating Search revenue growth and a surprise negative free cash flow of $9.07 billion driven by massive AI capital expenditures. While Google Cloud revenue surged 103% to $30.7 billion, it was NOT enough to offset investor panic over missed EPS expectations and aggressive spending forecasts.
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10-30
[Earnings Recap] Amazon Falls 7%, Intel Plunges 23%. What's Wrong?
Thursday’s earnings showed that rapid AI growth no longer guarantees a positive stock reaction. Amazon reported AWS’s fastest expansion in nearly five years, but its shares fell as capital spending drove free cash flow deeply negative. Intel’s quarterly profit beat was overwhelmed by a weak forecast. Sandisk also slipped despite strong earnings and an 8-for-1 stock split announcement. Reddit plunged on slowing search traffic, while Eli Lilly rallied as demand for its weight-loss drugs continued to surge. $Amazon.com(AMZN)$ $Intel(INTC)$ $Reddit(RDDT)$ $SanDisk Corp.(SNDK)$ $Eli Lilly
TOPA for AMZN, Amazon still earning tons of money. I only buy company with PE below 20. No matter how good a company, don’t over pay the price. Amazon is the strongest company among the list. I want stock drop to 0.01 so I can own Amazon, every year collect $77 Billion. Isn’t it good?
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10-29
🟢 Hold, 🔴 Sell, or 🟡 Wait? Why My Earnings Night Strategy relies on Implied Volatility and Asymmetric Risk Whenever earnings season arrives, retail investors often split into two emotional camps: those who gamble on a massive post-earnings gap-up, and those who panic-sell early to avoid a potential crash. However, approaching earnings with a binary “Hold or Sell” mindset treats the market like a casino. For me, navigating earnings night is strictly an exercise in probability, position sizing, and managing Asymmetric Risk. If I had to summarize my core stance, it is: 🟡 Wait for tactical entries, but 🟢 Hold long-term high-conviction compounders—provided position size is controlled. Here is the exact playbook and mental framework I execute during earnings season. 1. The Trap of Binary Thinkin
TOPAsymmetric risk only works when the business quality is elite too. I usually screen for wide moat, steady free cash flow, and margins that hold up through weak quarters.
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10-29
For Microsoft (MSFT) watchlist , the available post-earnings history suggests that a strong after-hours reaction has not reliably translated into an immediate next-day gain—but when the earnings narrative is sustained by improved growth expectations, upside has often built over days 2–5. Using three recent positive-reaction earnings windows (2025-04, 2025-07 and 2026-07), measured from the pre-release close: Earnings window Day 1 close Day 2 close Day 5 close Pattern 2025-04 +0.31% +7.96% +9.97% Delayed upside acceleration 2025-07 +0.13% +4.08% +2.96% Gains followed, then consolidated 2026-07 -0.71% +14.68% +25.29% Initial fade, then powerful continuation Takeaway: the average first-session performance across these three cases was essentially flat at -0.09% , while the average f
TOPDay 2 looks more useful than Day 1, but three windows is still a tiny sample. The real filter is whether forward growth estimates kept rising after the print
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10-29
Earnings Night: I Don’t Let One Report Decide My Investment Whenever a company is about to report earnings, I think the real question is not simply whether the stock will go up or down the next day. Nobody knows that with certainty. The more important question is whether I am comfortable with what could happen if the market reacts very differently from what I expect. Personally, I would not automatically sell just because earnings are coming, nor would I blindly hold every position and hope for the best. My decision would depend on why I bought the stock, how much it has already run up, and how much downside I can realistically accept. 1. If I bought for the long term, I would not panic over one night If I invested in a company because I believe its business can grow over the next three to
TOPGreat. Thanks for the sharing. Earnings are too volatile these days as market sentiment is bad. I saw companies with good earnings get scrutinized and punished badly in today's market. Hope November will be better.
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10-29
“Be greedy when others are fearful, and be fearful when others are greedy.” This timeless investment principle is especially relevant when identifying quality stocks with strong long-term growth potential. When the market is driven by fear and panic, it may create opportunities to accumulate fundamentally strong companies at attractive valuations. Conversely, when euphoria takes over and everyone rushes to buy, it is time to remain cautious, assess valuations, and avoid being swept up by the crowd. The key is to invest in quality, not just cheap prices. Focus on companies with strong fundamentals, sustainable competitive advantages, healthy balance sheets, and the ability to generate consistent earnings and cash flow. For long-term investors, market volatility is not necessarily th
TOPStrong balance sheet is only half of it, pricing power and cash conversion usually tell you who can really compound through a full cycle.