398
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09-14
$AMD 20260921 450.0 PUT$ Hope it expires worthless Be water, my friend—stay calm, adapt, and let the market do its thing. Watch me pocket $30K in premiums in Sep. Jun/Jul/Aug: $1,721 / $26,431 / $34,103 Sep 2026: $18,275
AMD PUT
09-14 21:45
US20260921 450.0
| Side | Price | Filled | Realized P&L |
|---|---|---|
| Sell Open | 2.65 1Lot(s) | -- Closed |
1.22K
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09-14
$NVDA 20261030 195.0 PUT$ NVDA still the AI king with unstoppable triple digit revenue growth and excellent high margin. Still a great stock to own and accumulate.
NVDA PUT
09-14 22:12
US20261030 195.0
| Side | Price | Filled | Realized P&L |
|---|---|---|
| Sell Open | 3.90 3Lot(s) | +56.16% Holding |
TOPmizzmo: Data center growth is still the whole story here. If gross margin holds above 80%, the AI spend cycle is nowhere near done
5.98K
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09-14
$META 20260918 570.0 PUT$ META: Take Profit. The short put will be expiring this Fri and META is rising today on a weak Monday tradings Glad the exit the trade and to free up the margins to hunt for new trades.
META PUT
09-14 21:39
US20260918 570.0
| Side | Price | Realized P&L |
|---|---|---|
| Buy Close | 0.20 | +89.62% Closed |
TOP0.2 to close is clean, but selling that put for crumbs was never that attractive. Margin freed matters more than the Monday bounce lol
6.83K
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09-15
$GLXY 20261016 35.0 CALL$ to lock in gains as AI-related concerns increase downside risk. Recent warnings over a potential AI slowdown could pressure data-center valuations, while Galaxy’s Helios expansion increases exposure to AI infrastructure. Combined with crypto and macro volatility, reducing leveraged exposure improves near-term risk management.
GLXY CALL
09-14 21:31
US20261016 35.0
| Side | Price | Filled | Realized P&L |
|---|---|---|
| Buy Close | 0.29 4Lot(s) | +67.62% Closed |
TOPAI slowdown chatter is weak sauce here. Helios expansion literally screams demand, and GLXY still has two engines carrying the story.
13.51K
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09-15
How to Trade FOMC Night: Can the Fed Contain Long-Term Yields Without Breaking Equities?
This week’s FOMC meeting will set the near- to medium-term rhythm for markets. But the key issue is not simply whether the Fed raises rates; it is how Treasury yields at the front end and long end of the curve will be repriced. The 10-year Treasury yield is now approaching—or has already touched—the sensitive 5% threshold. Markets are concerned both that further increases in long-dated yields could crush richly valued assets and that excessive policy tightening could push up front-end rates and quickly hit equities. In our view, four possible meeting outcomes could unfold this week. All ultimately revolve around the tug-of-war between the front end and the long end of the yield curve, although the implications for individual asset classes differ across scenarios. A Tense Yield Environment
TOPDot plot matters more here. If it comes in hotter, 2Y and DXY reprice first, and that small straddle gets a lot less forgiving.
10.54K
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09-15
Wall Street Changed Its Mind: The Biggest Upgrades & Downgrades of Last Week
Wall Street returned from the Labor Day break to a volatile four-day trading week, but analyst research showed something more interesting than a simple risk-off story. Institutions continued to raise conviction in selected AI, semiconductor, defense, healthcare and industrial names, while turning more cautious on parts of healthcare, consumer stocks and cybersecurity. The calls also showed increasing stock-level dispersion. Analysts were upgrading one company while downgrading a direct peer in the same sector, suggesting that Wall Street is becoming more selective rather than making broad sector-wide calls. Here are some of the most notable rating changes from September 8–11, organized day by day. Tuesday, Sept. 8 — Chips and Defense Start the Week Strong Tuesday's calls leaned constructiv
TOPThe call that catches my attention most isGoal. The important part isn't simply the $820 target—it's the shift from Neutral to Overweight. Wall Street is increasingly asking whether massive AI spending can translate into real consumer engagement, advertising efficiency and new revenue streams. That said, I'm more cautious onNGOs. The downgrade highlights a real concentration risk: when one blockbuster drug drives such a large share of sales, growth expectations become vulnerable to competition, pricing pressure and patent risk. For me, last week's biggest message wasn't "buy AI" or "sell healthcare." It wasstock selection matters again. In this market, owning the right company may matter more than owning the right sector. @WallStreet_Tiger [你懂的]
655
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09-15
【Livestream Clip 3｜Matt Gamblin: Watch Oracle's Cash Flow, Not Just Its AI Story】
【LIVESTREAM RECAP｜How AI Is Reshaping Finance and Business: What Investors Need to Know】 Hi Tigers! In this session we dug into how AI is reshaping finance and business — a topic that's become impossible to ignore in boardrooms. From the long arc of technological change (PCs, ERPs, Y2K, business intelligence, and now AI and agents), to why data quality decides whether AI actually works, to how investors can separate real AI-driven value from the hype — the flow was clear and layered. Matt also grounded it all in real case studies including Zero, Oracle, and CBA. Full replay 👉 How AI Is Reshaping Finance and Business: What Investors Need to Know 【ABOUT THE GUEST】
TOPFor my view: I strongly agree. Oracle is a good example of why investors should not buy a stock only because of its AI story. The most important things to check are: Cash flow — Is the company actually generating enough cash? Profit — Are profits growing? Debt — Is the company borrowing too much to fund AI expansion? Real AI demand — Are customers actually paying for AI services? Execution — Can management turn AI investment into real revenue? For Oracle, the AI opportunity is huge, but building data centers and AI infrastructure requires a lot of money upfront. So I would not ask, “Is Oracle an AI company?” I would ask: “Is Oracle's AI investment producing enough cash and profit to justify the spending?” Bottom line: AI is the story. Cash flow is the proof. For a beginner investor, this is one of the most important lessons: Always check the numbers behind the AI headline.
905
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09-15
【Livestream Clip 4｜Matt Gamblin: Matt: Cutting Staff for AI Too Fast Costs More Later】
【LIVESTREAM RECAP｜How AI Is Reshaping Finance and Business: What Investors Need to Know】 Hi Tigers! In this session we dug into how AI is reshaping finance and business — a topic that's become impossible to ignore in boardrooms. From the long arc of technological change (PCs, ERPs, Y2K, business intelligence, and now AI and agents), to why data quality decides whether AI actually works, to how investors can separate real AI-driven value from the hype — the flow was clear and layered. Matt also grounded it all in real case studies including Zero, Oracle, and CBA. Full replay 👉 How AI Is Reshaping Finance and Business: What Investors Need to Know 【ABOUT THE GUEST】
TOPFor my view: I strongly agree. The biggest lesson is: AI should improve the business, not simply replace people. If a company cuts employees too quickly, it may save money today but lose knowledge, experience and productivity later. I prefer Enterprise AI — AI built directly into the company's systems and processes. This means the business can continue using the knowledge even when employees leave. For investors, I would look for companies where AI: Reduces costs Improves productivity Increases revenue Keeps knowledge inside the company Creates long-term competitive advantages The important point is that AI adoption alone is not enough. A company can use AI everywhere and still make poor decisions. Bottom line: Don't ask, “How many employees can AI replace?” Ask, “How much better can AI make the whole business?” That is where I believe the real long-term AI investment value is.
704
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09-15
【Livestream Clip 2｜Matt Gamblin: Zero's Lesson: More AI Features Can Lose Customers】
【LIVESTREAM RECAP｜How AI Is Reshaping Finance and Business: What Investors Need to Know】 Hi Tigers! In this session we dug into how AI is reshaping finance and business — a topic that's become impossible to ignore in boardrooms. From the long arc of technological change (PCs, ERPs, Y2K, business intelligence, and now AI and agents), to why data quality decides whether AI actually works, to how investors can separate real AI-driven value from the hype — the flow was clear and layered. Matt also grounded it all in real case studies including Zero, Oracle, and CBA. Full replay 👉 How AI Is Reshaping Finance and Business: What Investors Need to Know 【ABOUT THE GUEST】
TOPFor my simple view. I agree with the main lesson: More AI does NOT automatically mean more value. The Xero example is important for investors. A company can add many AI features, but if customers feel that AI is replacing them instead of helping them, it can actually hurt the business. For me, there are 3 things to check: Does AI save customers money or time? If yes, AI creates real value. Does AI increase revenue or profit? More AI features are meaningless if they don't improve financial results. Do customers actually use and pay for the AI? This is more important than management saying “we are an AI company.” Investment lesson I would not buy a stock simply because it uses OpenAI, Anthropic, or AI. I prefer companies where AI: increases revenue improves profit margins reduces costs strengthens customer loyalty My rating of this lesson: Bottom line: AI is a powerful tool, but AI features ≠ business value. For investors, real earnings and cash flow matter more than AI headlines.
542
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09-15
【Livestream Clip 1｜Matt Gamblin: Why Stronger AI Makes Bad Data More Dangerous】
【LIVESTREAM RECAP｜How AI Is Reshaping Finance and Business: What Investors Need to Know】 Hi Tigers! In this session we dug into how AI is reshaping finance and business — a topic that's become impossible to ignore in boardrooms. From the long arc of technological change (PCs, ERPs, Y2K, business intelligence, and now AI and agents), to why data quality decides whether AI actually works, to how investors can separate real AI-driven value from the hype — the flow was clear and layered. Matt also grounded it all in real case studies including Zero, Oracle, and CBA. Full replay 👉 How AI Is Reshaping Finance and Business: What Investors Need to Know
TOPThe biggest mistake in the AI boom is confusing model capability with data quality. As AI models become faster and more sophisticated, they do not automatically fix flawed underlying data—they simply process and amplify bad inputs at scale. Feeding unverified, low-quality data into an advanced AI function leads to incorrect financial models and distorted business decisions generated faster and harder to detect than ever before. For an AI strategy to create real long-term value rather than high-speed noise, organizations must focus on fundamental data governance. That means clearly defining core business metrics like revenue and margin, tracking data origins across systems, and maintaining clear operational oversight. Ultimately, a powerful AI engine is useless without accurate, clean data behind it. @TBlive [胜利]
8.17K
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09-15
Could Security Be AI’s Biggest “Second-Order” Trade?
U.S. markets showed a striking divergence overnight. As investors worried that calls to slow frontier AI development could eventually cool spending on GPUs, HBM and data centers, semiconductor names came under pressure. At the same time, cybersecurity stocks surged. CrowdStrike, Palo Alto Networks, Zscaler and Fortinet all moved sharply higher. The same “AI risk” narrative was hitting chips while pushing security software into the spotlight. The more important takeaway is not simply that money rotated from hardware into software. The bigger question is whether cybersecurity is becoming a mandatory layer of AI CapEx. Once AI agents start connecting to email, code repositories, databases, CRM systems and payment tools, AI is no longer just reading information. It can call tools, modify files
TOPFeels early to price this as mandatory AI spend when plenty of enterprises still have not finished basic zero trust. Rotation can run, but deployment reality is slower
196
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09-15
$THAI BEVERAGE (Y92.SI) -1.11%: Defensive Play Holds Support
$ThaiBev(Y92.SI)$ -1.11%: Defensive Dividend Play Consolidates Near Support, 0.44–0.45 SGD Range Holds Latest Close Data: SGD 0.445, down 1.11% from prior close of 0.45. Price sits 6.38% below 52-week high of 0.48 and 7.87% above 52-week low of 0.41. Amplitude narrow at 2.22%, turnover just 0.07%. Core Market Drivers: Thai Beverage traded lower on muted volume ratio of 0.86 amid broad ASEAN consumer staple softness. Total market cap stands at SGD 111.83B, while circulating cap is only SGD 32.19B—heavy 65.83% insider concentration via Siriwana Company Ltd. limits free-float liquidity. 5-day capital flow flipped sharply positive on 09-14 (+569.78万), though Monday showed net outflow of 188.74万. Technical Analysis: Daily MACD and RSI
626
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09-15
$SEMBCORP INDUSTRIES (U96.SI) -0.83%: Consolidates Near Range High
$Sembcorp Ind(U96.SI)$ Closed -0.83% at S$6.00: Consolidation Near Range High, Awaiting Volume Catalyst Latest Close Data: Sembcorp Industries closed at S$6.00, down 0.83% on Sep 15, 2026. Price sits 13.0% below its 52-week high of S$6.90 and 17.0% above its 52-week low of S$5.13. Daily range: S$5.97–S$6.11 (amplitude 2.31%). Core Market Drivers: Temasek remains anchor shareholder at 50.04%, providing stability. Capital flow turned negative with total outflow of S$1.705M vs inflow S$0.825M; large orders sold S$462.7K vs bought only S$109.3K. Dividend yield of 4.50% supports defensive holding amid soft industrial sentiment. Technical Analysis: Volume ratio at 0.87 with turnover only 0.24% indicates lack of conviction. RSI and MACD
735
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09-15
$DBS GROUP HOLDINGS (D05.SI) -1.17%: Slips After 52-Week High
$DBS(D05.SI)$ Slips -1.17% After Touching 52-Week High: Support at S$76.60 Under Watch, S$79.05 Resistance Looms Latest Close Data: DBS closed at S$76.75 on 2026-09-15, down -1.17% (-S$0.91). The stock traded within a tight S$76.60–S$78.08 range, finishing just 2.9% below its 52-week high of S$79.05. Volume of 3.63M shares was only slightly above the 1.10 volume ratio, suggesting the pullback lacked aggressive selling conviction. Core Market Drivers: Profit-taking emerged after DBS tested the S$78 zone against a backdrop of softer regional bank sentiment. Net capital outflow over five sessions exceeded S$21M before a small S$2.37M inflow on 09-14, indicating institutional hesitation. Temasek's stable 28.06% stake remains a struct
363
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09-15
$HONGKONG LAND HOLDINGS (H78.SI) -1.19%: Yield Cushions Retreat
$HongkongLand USD(H78.SI)$ -1.19% Pullback: Dividend Yield 3.26% Cushions Retreat, $8.20 Support Holds the Line Latest Close Data: Closed at $8.28 on 2026-09-15, down -1.19% (-$0.10). Currently 6.2% below the 52-week high of $8.83 and 44.5% above the 52-week low of $5.73. Intraday range: $8.20–$8.37. Core Market Drivers: Hongkong Land continues to trade in a tight consolidation range near multi-month highs. The 3.26% dividend yield provides defensive appeal, while volume ratio of 1.20 indicates slightly above-average participation. Capital flow data shows net inflow of $2.39M with large orders skewed bullish ($284.8K buy vs $126.9K sell). Technical Analysis: Volume of 1.60M shares with amplitude of only 2.03% signals low volatili
280
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09-15
$CITY DEVELOPMENTS (C09.SI) -1.23%: Consolidates Near Support
$CityDev(C09.SI)$ -1.23%: Singapore Property Giant Consolidates Near S$8.05 Support, S$8.15 Pivot Caps Rebound Latest Close Data: Closed at S$8.05, down 1.23% (-S$0.10), with a narrow intraday range of S$8.05–S$8.15. Price sits 17.2% below its 52-week high of S$9.72 and 25.2% above its 52-week low of S$6.43. Core Market Drivers: Singapore property counter faced mild profit-taking as capital flow turned negative, with total outflow of S$552.2K vs inflow of S$298.1K. Volume ratio of 0.68 signals subdued participation, while 5-day flow showed only one positive session (09-14: +127.72万). No material company-specific news surfaced. Technical Analysis: MACD and RSI data are unavailable for this session; however, price action shows a ti
332
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09-15
$CAPITALAND ASCOTT TRUST (HMN.SI) -1.20%: Dips to 52-Week Low
$CapLand Ascott T(HMN.SI)$ Dips -1.20% to 52-Week Low: 7.44% Yield Defensive Play, Range $0.82–$0.84 Latest Close Data: Closed at S$0.82, down 1.20% on 9.65M shares. Price sits exactly at its 52-week low of S$0.82, with the high at S$0.84. The stock is -14.6% from its 52-week high of S$0.96. Core Market Drivers: Persistent five-day capital outflows (09-08: -241.97万; 09-11: -334.9万) reflect sustained institutional de-risking. BlackRock reduced holdings by 664,500 shares while Vanguard added 509,500. Singapore hospitality REIT faces rate sensitivity despite stable operational metrics. Technical Analysis: Volume ratio of 1.03 shows average participation on the decline. MACD and RSI values are unavailable in the current data feed. Pr
715
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09-15
$SINGAPORE EXCHANGE (S68.SI) -1.66%: Volume Hints at Distribution
$SGX(S68.SI)$ Pulls Back -1.66%: Volume Surge Hints at Distribution, $22.45 Support Under Scrutiny Latest Close Data: S68 closed at S$22.53, down -1.66% on 15 Sep 2026. The stock is now -12.3% below its 52-week high of S$25.69, with intraday range S$22.45–23.00. Volume ratio of 1.49 indicates above-average trading activity during the decline. Core Market Drivers: Singapore Exchange faced profit-taking despite strong institutional positioning (BlackRock holds 5.01%, Vanguard recently added shares). The 5-day capital flow shows three consecutive outflow days, with net outflow of S$21.51M on 09-14 alone. Broader Singapore equity market sentiment may be weighing on exchange operator valuations. Technical Analysis: Volume of 4.71M sha
TOPNice Sharing 😁 @DiAngel @Aqa @JC888 @Barcode @Shyon @koolgal @Shernice軒嬣 2000
368
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09-15
$UOB (U11.SI) -2.36%: Retreats, Testing Intraday Support
$UOB(U11.SI)$ Dropped -2.36%: Singapore Banking Bellwether Retreats to $41.33, Testing $41.24 Intraday Support, 52-Week High Still in Sight Latest Close Data: Closed at S$41.33, down -2.36% (-S$1.00) from S$42.33 prior close. Intraday range S$41.24–42.28. Price sits 6.5% below 52-week high of S$44.20, well above 52-week low of S$31.92. Core Market Drivers: Broad profit-taking hit Singapore banks as rate-sensitive names consolidated. UOB's 3.85% dividend yield remains supportive, but five-day capital flow shows persistent net outflows totaling ~S$9.7M. Technical Analysis: Volume of 3.16M shares exceeded average (Volume Ratio 1.14), confirming distribution pressure. MACD and RSI data unavailable for this session; however, price fai
759
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09-15
$OCBC BANK (O39.SI) -2.67%: Nears Key Support After Selloff
$OCBC Bank(O39.SI)$ Slips -2.67% to S$31.00: Pullback Nears Key S$30.98 Support as Profit-Taking Hits Singapore Banking Giant Latest Close Data: OCBC closed at S$31.00 on 2026-09-15, down -2.67% (-S$0.85), just 4.82% below its 52-week high of S$32.57. Intraday range: S$30.98–S$31.91, amplitude 2.92%. Core Market Drivers: Singapore bank saw broad profit-taking with volume ratio at 1.68x. Capital flow turned sharply negative: one-day total outflows of S$158M vs inflows of S$92M, with large-order sells of S$36.2M dwarfing large-order buys of S$6.1M. No company-specific news surfaced. Technical Analysis: Volume of 8.03M shares was elevated, confirming distribution pressure. RSI(6/12/24) data unavailable, but price action shows bearis