$Intuit(INTU)$ didn't manage to buy near the bottom when it dipped recently. But it's ok, I dun need to do so, as long as I stay invested and buy undervalued good quality company, in the long run I should do fine. Hope it reaches $450 by next year [Cool]
$Alphabet(GOOGL)$ I'm bullish on googl and I think there's more upside given its strong Position in YouTube, search and now Gemini. It Also invested in space X 10 years ago and this Proved immensely profitable. Still undervalued & I expect it to tp around 450. Ignore the Noise on capex spend. Buy before Earnings release this week.
$NTT DC REIT USD(NTDU.SI)$ NTT DC REIT (SGX: NTDU) is a Singapore-listed data centre real estate investment trust sponsored by Japan's NTT Group. Listed in July 2025 as one of the major data centre offerings on the SGX, the trust has beaten its initial public offering (IPO) forecasts operationally, though its unit price has faced post-listing headwinds. Portfolio & Operations • Assets: Comprises six Tier III-equivalent, carrier-neutral data centres valued at roughly US$1.7 billion, featuring a design IT load of 90.7 MW. • Geographical Spread: Diversified across the United States (~63.9% in Northern Virginia and Northern California), Singapore (18.6%), and Vienna, Austria (17.5%). • Occupancy & WALE: High portfolio occupancy of 98.
Big Tech Earnings Will Test the Returns on AI Spending
The market: technology shares await earnings and the Federal Reserve The $Invesco QQQ(QQQ)$ slipped 0.01 per cent to US$704.40 on Friday, while the $S&P 500(.SPX)$ fell 0.52 per cent to US$759.97. After the previous session's sharp technology sell-off, the indices did not immediately choose a new direction. Microsoft, Alphabet, Amazon, Intel and several storage companies report between Wednesday and Thursday, while the Federal Reserve decision is due at 2am Beijing time on 29 October. Earnings, cash flow and interest rates will all reset the value assigned to AI assets within a narrow window. The prevailing expectation is for the Federal Reserve to keep its 3.75 per cent
The October Curse Strikes US Stocks as Equities and Gold Show Signs of a Breakdown
I have repeatedly highlighted October as a key turning-point window for US equity indices. Whatever the news backdrop, a break below the key trend line should prompt us to consider reducing risk. US indices have yet to see a sharp acceleration in selling, but other markets, including mainland China's A-share market, have already fallen. It is hard to tell whether this reflects a synchronized move across markets or local developments. With most of the news unfavorable, however, temporarily reducing risk is a prudent choice. $China A50 Index - main 2610(CNmain)$$Hang Seng Index - main 2610(HSImain)$$Hang Seng Index - Oct 2026(HSI2610)$
AI Earnings Week 📅| Microsoft, Alphabet and Amazon Face the Cash Flow Test
Hi Tigers🐯, This week puts the economics of AI infrastructure under the spotlight. Microsoft ($$MSFT) and Alphabet $$GOOGL) are scheduled to report on October 28, followed by Amazon ($AMZN) on October 29. These are upcoming releases: the September-quarter results had not been published as of October 26, 2026. [1–3] My focus is on whether cloud demand can support durable profits and cash generation as investment expands. A revenue beat could help sentiment, but the spending outlook and funding plan may decide whether that confidence lasts. 1 | The Earnings Calendar📅 Company Reporting period Scheduled release Microsoft | MSFT FY2027 Q1 Oct. 28, 2026 | After close Alphabet | GOOGL 2026 Q3 Oct. 28, 2026 | After close Amazon | AMZN 2026 Q3 Oct. 29, 2026 | After close Dates use the U.S. Eastern
🎁Weekly EPS Growth & Dividend Leaders: GOOG, MSFT, AMZN, V, CAT and more
😀Hi Tigers, As the Q3 earnings season unfolds, we’re taking a closer look at potential outperformers from two key angles: EPS expectations and dividend performance. In the first part, we highlight the top 20 stocks by market capitalization with stronger EPS estimates ahead of their earnings, scheduled between October 26 and October 30. 🎁Weekly Higher EPS Estimates: GOOG, MSFT, AMZN, V, XOM & More 1. Why EPS Matters? Earnings per share(EPS) refer to the income per share brought to investors/shareholders in the open market. EPS is calculated as a company's profit divided by the outstanding shares of its common stock. The resulting number serves as an indicator of a company's profitability. Investors like companies with high profitability, and the market always rewards those earnings resu
POLL>>🪙 | 💰 10 US Stocks Hit New Highs: AAPL, XOM ,CVX, SHEL,COP.....
💬 Join the discussion: Vote in our poll below and share your take in the comments — every useful comment earns Tiger Coins! 🎁 As of October 23, 2026. Your supplied screen identifies 19 US-listed stocks with market capitalizations above $10 billion in the new-high bucket. The quoted prices are below their recorded peaks, so these are stocks trading near record highs—not necessarily closing at records. Screen valuations and returns below refer to your supplied dataset. The top 10 tickers leading this cohort - $Apple(AAPL)$, $Exxon Mobil(XOM)$, $Chevron(CVX)$, $SHELL
Weekly | OU8, F17, T24, E28, 41B, 53W, JCO, TAP & 1V3 lead Buybacks
Over the five sessions through to 22 October, more than 70 filings relating to directors’ interests and substantial shareholdings were filed across 40 primary-listed stocks. Directors or CEOs reported 29 acquisitions and one disposal, while substantial shareholders filed 10 acquisitions and three disposals. The five sessions through to 22 October saw 20 primary-listed companies conduct buybacks with a total consideration of S$20.0 million, half the run rate of the previous week as the earnings season heats up. $UOB(U11.SI)$ again led the activity with S$8.1 million of buybacks, followed by $ST Engineering(S63.SI)$ with S$5.1 million. 1. $Centurion(OU8.SI)
🌟🌟🌟The recent collective surge in cybersecurity stocks to all time highs is primarily driven by a structural shift in enterprise risk: the rise of autonomous AI agents. Leading labs like OpenAI, Anthropic and Meta have noted that rogue or compromised AI agents operating at machine speed represent the single biggest threat vector today. This creates an entirely new cybersecurity paradigm where software must defend against automated, adaptive AI entities rather than traditional human hackers. $Palo Alto Networks(PANW)$ stands out as a good buy as its dedicated platform Prisma AI has been praised by enterprise customers for its ability in monitoring and securing autonomous machine to machine AI data flows across cloud networks. Cybersecurity
(Part 3 of 5) - Market Outlook of S&P500 (26Oct2026)
Market Outlook of S&P500 (26Oct2026) Technicals as of Friday 23 October close (Yahoo Finance data): · Close 7,623.68 — down ~0.5% on the week, ~2.5% below the record 7,818.9 set earlier this month, still +11.4% year to date. · Below the 50-day average (7,700) and 20-day exponential average (7,713), but above the 200-day average (7,291). Short-term strength has faded; the longer-term uptrend holds. The index is roughly 330 points above its 200-day average. · MACD: −3.1, below its +12.6 signal line. This price-trend indicator suggests weakening momentum. · Chaikin Money Flow: −0.02. This price-and-volume indicator suggests modest, not heavy, selling. · Relative Strength Index (RSI): 42. Momentum is weak, but not yet “oversold”—a level suggesting unusually heavy selling. · The long-term t
(Part 4 of 5) News and my thoughts from the past week (26Oct2026)
News and my thoughts from the past week (26Oct2026) 1. Major-company job cuts — American Express: 5%, about 3,500 employees; Barclays: 5,000 as AI improves efficiency; eBay: about 9%; Netflix: 6% globally, about 1,000 (WSJ via X user Zerohedge). Comcast plans significant cuts before its NBCUniversal spinoff (Bloomberg, 21 Oct). Perspective: cost savings are visible; extra AI revenue remains uncertain. 2. Morgan Stanley cuts its AMD chip forecast — Its 2026–2030 graphics-chip (GPU) forecast fell 43%, from 14.1 million to 8.0 million units: 5.9 million fewer (Morgan Stanley chart, 14 October). Perspective: weaker demand echoes the revenue and spending concerns in items 3 and 5. 3. AI revenue: expectations versus results — Rand Group Research compares combined OpenAI and Anthropic annual recu
Junk Bond Yields Rose 1.39 Points In Six Months. The Weakest Ones Rose 5.02.
The average high-yield bond now yields 8.14%. Six months ago it was 6.75%. The weakest slice, rated CCC and below, went from 12.97% to 17.99%. Same market, same six months. The average moved 1.39 points. The bottom moved 5.02. WHY THE AVERAGE LOOKS CALM An index is an average. An average can sit still while one part of it falls apart, because the healthy parts pull the number back toward the middle. That is true of a bond index, a sector fund, and your own options book. If you only read the headline number, you find out about the tail last. Here is how to split an average and see where the move really came from. THE THREE CHECKS Check one: write down the move in the headline number between two dates. Pick the dates before you look, so you don't choose the window that tells the best story.