Tom Yuen's Playbook: What Futures Really Are (and Why Exchanges Created Them)
Speaker: Tom Yuen (YCK), a futures trader with 30+ years of experience, walks first-timers through where futures come from, how they differ from buying something on the spot, and why the exchange exists at all. [About the Speaker] Tom Yuen (YCK) has over 30 years of professional futures trading experience. He started as an independent floor trader at the Singapore International Monetary Exchange (SIMEX, now SGX-DT), trading his own capital for 14 years before markets went fully electronic. A Computer Science graduate of the National University of Singapore, he teaches an approach built on technical analysis, trading psychology, probability and risk management. He is one of the trainers invited and endorsed by SGX-DT to conduct futures trading programmes, and has trained traders across Sing
Tom Yuen's Playbook: Reading a Futures Contract, from Contract Size to Margin
Speaker: Tom Yuen (YCK) shows what to check on a contract specification before placing a trade, and explains margin, margin calls and leverage in plain language. [About the Speaker] Tom Yuen (YCK) has over 30 years of professional futures trading experience, beginning as an independent floor trader at SIMEX (now SGX-DT). A Computer Science graduate of the National University of Singapore, he is one of the trainers endorsed by SGX-DT to conduct futures trading programmes and has trained traders across Singapore, Malaysia and Thailand. [The Hook] Before any chart, any setup, any prediction, YCK asks one question: do you know what you are actually trading? Every futures contract comes with a specification sheet, and he walked through the items that matter. [The Contract Spec: What to Check] C
Tom Yuen's Playbook: The Two Golden Rules, and Why Trading Is Not Investing
Speaker: Tom Yuen (YCK) shares the two rules he says matter most from his floor-trading days, how he thinks about probability and discipline, and how trading differs from investing. [About the Speaker] Tom Yuen (YCK) has over 30 years of professional futures trading experience, including 14 years trading his own capital as an independent floor trader at SIMEX (now SGX-DT). He teaches an approach built on technical analysis, trading psychology, probability and risk management, and is an SGX-DT-endorsed trainer. [The Hook] When YCK started on the floor, senior traders passed on all kinds of tips. After boiling them down, he says only two really matter. [Golden Rule 1: Don't Trade Against the Trend] On the old trading floor, big orders came in by phone and pushed the market for a few ticks wh
Tom Yuen's Playbook: A Fibonacci Setup, Futures vs. Options, and What's Changing
Speaker: Tom Yuen (YCK) walks through a simple Fibonacci pullback setup with an 80/20 exit, compares futures with options, and flags changes coming to contracts and US trading hours. [About the Speaker] Tom Yuen (YCK) has over 30 years of professional futures trading experience, starting as an independent floor trader at SIMEX (now SGX-DT). A Computer Science graduate of the National University of Singapore, he is an SGX-DT-endorsed trainer who has trained traders across Singapore, Malaysia and Thailand. [The Hook] A good setup, YCK argues, is more than a chart pattern. It also needs a plan for managing money and managing yourself. He demonstrated with a simple Fibonacci-based approach. [The Setup: Buying a Pullback to a Fibonacci Level] Find the context — the market drops into a support z
Macro Weekly: Yields Near a Peak? Key Setups in Gold and Long Bonds
Weekly Report: Key Views Hello everyone, and welcome to another edition of our Macro Strategy Weekly. Each issue features market strategy insights from selected contributors with relevant professional expertise. We also track how their views perform each week. Here is a preview of this week’s key ideas: 1. Near Term Direction for US Equities Remains Unclear, Pending CPI and TSMC Earnings The baseline scenario for US equities this week remains consolidation near current highs. A downside break is the next most likely outcome, followed by a move to new highs and a higher trading range. All three scenarios remain possible. Easing diplomatic tensions ahead of the election should support market stability and may delay a larger correction, although a modest near term pullback remains a risk. The
U.S. Midterms in 20 Days: Which Stocks Could Be Most Affected?
The U.S. midterm elections are just 20 days away, and Wall Street is starting to focus on a familiar question: If control of Congress changes, which sectors could face the biggest policy shifts? On November 3, Americans will elect all 435 members of the House of Representatives and roughly one-third of the Senate. Republicans currently control the White House and both chambers of Congress, but the elections could change that balance. For investors, the key is not simply whether Republicans or Democrats gain seats. It is how different congressional outcomes could affect financial regulation, crypto policy, energy investment, healthcare spending and AI infrastructure. Three scenarios are worth watching. Scenario 1: Republicans Retain Control of Both Chambers If Republicans maintain control o
【10.05–10.11】🏆 Weekly Review | US$65K Profit from PLTR! Three More Stocks Worth a Closer Look
Prestige No. 5 Saevus has an interesting mix of stocks in this week's Profit Top 5. PLTR alone brought in around US$65K in profit. The other three stocks — CEG, CCJ and GEV — all have links to energy and power infrastructure. On one side, there's AI software. On the other, nuclear power, uranium and power equipment. Could this combination reveal an interesting investment approach? Quick recap of last week's rankings: Prestige Top 3: 🥇@JiaWei主教练是我师傅 , 🥈@NicolasSoo , 🥉@逆天邪神云澈 Elite Top 3: 🥇@Dundun87 , 🥈@dsv69 , 🥉
A Chip Rally and a Memory Rout on the Same Day. What Split Them?
The indices: barely moved, but chips and memory went in opposite directions The three indices were nearly flat on Tuesday: the $S&P 500(.SPX)$ fell 0.02 per cent to 7,805.45; the $NASDAQ(.IXIC)$ fell 0.15 per cent to 27,204.38; and the $Dow Jones(.DJI)$ fell 0.35 per cent to 51,670.10. The 10-year Treasury yield eased from 5.24 per cent to 5.22 per cent. The compute chips that had been falling since last Thursday bounced: $NVIDIA(NVDA)$ rose 0.97 per cent to US$228.52 and AMD rose 1.90 per cent to US$605.53, with the specific AMD driver in the next sect
I think consumers are becoming more selective rather than stopping spending altogether. Everyday essentials still get priority, but higher prices and borrowing costs are making people think twice about discretionary purchases. The key question is whether consumer resilience can continue into Q4.
ASML Earnings Are the Real AI Capex Test. I Would Watch Orders Before Revenue.
Semiconductor stocks have just endured another uncomfortable reset. Memory names have fallen sharply. Asian chip stocks sold off again. Concerns around China's semiconductor progress have returned. Meanwhile, investors are increasingly questioning whether the enormous AI capex cycle can continue at the same pace. Now ASML reports. For me, this is one of the most important semiconductor reports of the quarter. Not because ASML tells us what happened during the last three months. It can tell us what the world's biggest chipmakers expect to need 12 to 18 months from now. That makes ASML's order book more important than the headline EPS number. The Number I Care About Most: Bookings ASML sits unusually far upstream. TSMC, Samsung, Intel, SK Hynix and Micron cannot simply decide to produce subs
$ASML Holding NV(ASML)$ ASML Q3 Earnings: Triple Beat, Sky-High Demand, but will the Supply Bottlenecks cap their 2027-28 growth? ASML just dropped its Q3 2026 earnings, and the numbers were definitively on the upper side: • Total Net Sales: €11.7 billion (near the very top of guidance) • Gross Margin: A monster 57.5% (beating expectations due to a massive €3.3B in high-margin Installed Base Management upgrades) • Net Income: €5.0 billion (€12.95 basic EPS) The Twist: Supply Constraints for 2027–2028 While the beat was clean across the board, the potential issue to watch out closely, is management's commentary on visibility. Customer demand for AI-related infrastructure is so intense that ASML explicitly warned their planned supply for
Anthropic Is Warning About AI Risks — While Preparing for a Mega IPO
Anthropic faces an unusual challenge ahead of its planned IPO: convince investors that AI offers enormous commercial potential while warning them that the technology could create serious risks. That tension could make its public debut one of the most closely watched events in the AI market. 💰 1. The growth story is compelling Anthropic’s annualised revenue run rate reportedly reached US$65 billion at the end of July, according to reporting cited by Bloomberg and Barron’s. But revenue run rate is not the same as actual annual revenue or profit. Investors will want to see the full financial picture, including margins, operating losses and the cost of computing. ⚠️ 2. AI safety is becoming an investment issue Anthropic researchers have warned that increasingly capable AI models could potentia
BRK.B’s Continued BAC Exit Under new $Berkshire Hathaway(BRK.B)$ CEO Greg Abel, the continued reduction of $Bank of America(BAC)$ is the most conspicuous portfolio decision heading into BAC’s Q3 2026 earnings report. BRK.B’s Q2 2026 13F showed a sale of about 30.2 million BAC shares, equivalent to a -5.9% reduction and roughly $1.7 billion at quarter-end prices. It was BRK.B’s largest dollar reduction during the quarter. The sale continued the disciplined approach set by Warren Buffett. BRK.B owned just over 1.03 billion BAC shares in mid-2024 and has reduced its stake every quarter since. By the end of June 2026, it held 483.4 million shares, less than half of its earlier position. The Q2 filing marked t
"Infinite Demand" vs. "Trillions Destroyed": Wall Street's Smartest Minds Just Split on AI
October 14, 2026 — Investor Education: The AI Debate, Mapped For the past two years, the AI trade had one voice. This week, it has two — and they're shouting past each other. On one side: Jensen Huang, who just repeated that global AI infrastructure capex will hit $3–4 trillion annually by 2030, insisting demand is "nowhere near" supply-constrained growth. On the other: Michael Burry, the man who called the housing bubble, arguing that AI will consume and destroy trillions in capital — and that markets may need to fall just to stop AI IPOs from vacuuming up the money. Between them sits the most important disagreement in markets right now: Is the AI supercycle a real productivity revolution — or a capex bubble priced for perfection? Here's the full map of who's saying what, so you can decid
Korea's Memory Stocks Fell 8% Today. Western Digital Doesn't Make Memory
$Western Digital(WDC)$ Mathematical Money | October 13, 2026 The KOSPI broke below 6,000 today, down more than 7% intraday and triggering a sell-side trading curb for the first time in two months. SK Hynix fell over 9%. Samsung Electronics over 8%. $WDC$ is down about 6% as I write, at roughly $362 against Monday's close of $387. I own the shares, I own long-dated calls, and I wrote about this sector eight days ago. So I went and read what actually happened rather than assuming the move told me something about my position. It mostly doesn't, but the part that does is uncomfortable, and I would rather set out both than pick the half that suits the position. What actually happened in Korea The trigger was CXMT, a Chinese memory maker, whi
I would choose B, but the real question is whether AI can turn massive investment into sustainable profits. Revenue growth alone cannot justify every valuation. Investors must examine cash flow, margins, and whether AI spending generates sufficient returns. Strong demand means little if companies cannot monetize it effectively. Rising Treasury yields also pressure valuations. Even great companies can see their stocks fall when expectations become excessive. My view: AI remains a powerful growth engine, but earnings must catch up with expectations. Otherwise, today's winners could become tomorrow's valuation risks. The next earnings season will reveal which companies have real pricing power and which are simply riding market enthusiasm. @
I think option ④ is the most reasonable for now. AI memory demand remains strong, and $Cxmt Corporation(688825)$ CXMT’s technological progress does not automatically mean it can achieve mass production at competitive costs or quickly challenge established players. I believe the memory supercycle is still intact for now, but today’s selloff reminds me that no growth story moves in a straight line. I will be watching DRAM pricing, production capacity and customer demand to see whether the supply-demand balance is genuinely changing. For $Micron Technology(MU)$ , I prefer to stay patient rather than panic over short-term volatility. Competition is worth monitoring, but I would not assume the memory upcycle
🌟🌟🌟I believe that $Taiwan Semiconductor Manufacturing(TSM)$ is likely to close Green, 5% to 10% post earnings. Why? TSMC has officially posted a record shattering Q3 revenue of NTD 1.49 trillion (USD 46.71 billion) on October 8. This represents a mind boggling 50% year on year increase. It also completely cleared the upper ceiling of TSMC's own Q3 guidance bracket of USD 44.6 billion to USD 45.8 billion. Net profit is projected to expand by 65%. This sheer financial dominance provides a rock solid floor that prevents the stock from turning flat or red. Morgan Stanley is predicting that TSMC's management will lift its full year 2026 revenue guidance up to the low to mid 40% range. This sends a clear message that
My conviction is lower, but not broken. CXMT changes the long-term risk premium for memory. If it can turn 4F² into competitive, high-yield mass production, Chinese supply could eventually pressure conventional DRAM pricing and challenge the industry's current structure. But announcing an architecture is very different from producing server-grade DRAM economically at scale. Yield, reliability, customer qualification and volume are the real tests. Until CXMT demonstrates those, I see the sell-off as the market pricing in a credible new risk rather than proof that the memory cycle has fundamentally changed. Hock Tan's warning matters too. If capital becomes the constraint on AI build-outs, demand expectations could cool even before new Chinese supply arrives. So I would still hold quality me