🚀🔥 SG IPO Reform Momentum: When the Bar Gets Lower, Will YOU Step In? Singapore’s IPO market hasn’t just woken up — it’s roaring back to life, and MAS might be about to pour jet fuel on the engine. If you’ve been watching from the sidelines, this might be the moment where “SG IPOs very sian” becomes “Eh… maybe can buy already?” 👀 ⸻ 📈 From Sleepy to Leading SEA: What Just Happened? As of 14 November, Singapore sits #1 in Southeast Asia with 9 IPOs raising USD 1.6B. To put that into perspective: • Last year: 4 IPOs, USD 34M (yes… million 😅) • This year: 9 IPOs, USD 1.6B • That’s 2× deals and an insane 47× surge in capital raised This isn’t a rebound — this is an IPO resurrection. Question is: Can Singapore sustain this pace… or will reforms decide the next chapter? ⸻ 🏛️ MAS Is Preparing a “L
😀Hi Tigers,We invite you to take a closer look at the possible winners by EPS in the Q3 earnings season.In this post, we have highlighted the top 20 stocks by market capitalization with an estimated higher EPS ahead of their earnings in the period from December 8 to December 12.1. Why EPS Matters?Earnings per share(EPS), refers 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 results that beat the estimates. Hope the following content helps you learn more about good companies.2. Weekly List of Stocks wit
🎁Capturing Top 10 Ex_dividend: UNH, SPG, TRV, BDX, NXPI...
1. Which High Ex-dividend Stock (on 8 December ~ 12 December) do You Like the Most?Be Sure To Check Out the Last Chance to Buy the Top 10 High dividend stocks going to Ex-dividends This Week: many companies like $UnitedHealth(UNH)$ and $Simon Property(SPG)$ showing below are about to give decent dividends into "your pocket".Editor's notes:A dividend-paying stock ex-dividend date, or ex-date, is very important to investors. In a nutshell, if you buy a dividend stock before the ex-dividend date, then you will receive the next upcoming dividend payment.If you purchase the stock on or after the ex-dividend date, you will not receive the dividend. Some investors utilize strategies whereby they will purchase stoc
$Globalstar(GSAT)$ sharing winning trades for coins. Shared this before. Paper profit about 120% within about 6 months of finding this satellite stocks. Its association with AAPL and SpaceX will continue to drive tailwind on this business.
lulu's financial report is just around the corner, how to use volatility to make money
$lululemon athletica (LULU) $The next quarterly financial report (Q3 2025) is expected to be on December 11, 2025 (Thursday, after the US stock market closes)Release.The market consensus expects that the total revenue for the quarter will be approximately US $2.486 billion, a year-on-year increase of 5.49%; Adjusted earnings per share were approximately US $2.21, a year-on-year decrease of 17.94%; EBIT was approximately US $374 million, a year-on-year decrease of 19.56%; The revenue guidance range disclosed by the company last quarter was US $2.535 billion to US $2.560 billion, a year-on-year increase of approximately 7% to 8%. Regarding this quarter's forecast of gross profit margin, net profit or net profit margin, the market public consensus expec
$Tesla Motors(TSLA)$ [Call] 🤖 The AI Investment Thesis: Why Tesla's Future is Beyond the Car My investment conviction in Tesla is fundamentally a bet on the triumph of its Artificial Intelligence (AI) strategy. The company is not an automaker with a tech division; it is an AI and robotics platform that leverages a car company for data and cash flow. My confidence in the future hinges on two multi-trillion-dollar assets: Full Self-Driving (FSD) and Optimus. Part 1: Full Self-Driving (FSD) – The Software Platform The FSD program is the lynchpin of the entire Tesla AI ecosystem. It is the engine that is generating the massive real-world data necessary to train the neural networks for all future auto