182
·
09-15 20:37
$BBY +4.44% Hits a 52 Week High After Blowout Q2 Earnings
$Best Buy(BBY)$ $Best Buy(BBY) +4.44% Rocket to 52-Week High: Consumer Electronics Giant Breaks Out, $100 Target in Sight 🚀 Latest Close Data: BBY closed at $94.83, surging +4.44% (+$4.03) on September 15, 2026, with intraday high of $94.92 — a fresh 52-week high. This is a massive +72% rally from the 52-week low of $55.10. Core Market Drivers: Momentum follows BBY's blowout Q2 earnings (EPS $1.47 vs $1.38 est; revenue $9.78B vs $9.59B est; comp sales +4.1%) 🌟. Multiple firms (Daiwa, Barclays) raised targets after the report. Recent D.A. Davidson downgrade to Neutral failed to cool the rally 📈. Technical Analysis: Volume reached 4.89M shares (Volume Ratio 1.50×), confirming breakout conviction. MACD remains strongly bullish with DIF at 1.80 vs DEA
126
·
09-15 20:33
$CHWY Surges 4.45% as Oversold Buyers Return
$Chewy, Inc.(CHWY)$ $Chewy, Inc.(CHWY) Rebounds +4.45% to $21.35: Oversold Bounce Gains Traction, $23.90 Resistance in Focus 📦🐾 Latest Close Data: Closed at $21.35 (+4.45%) on Sep 15, 2026, with volume of 12.55M shares. Still trading -47.3% below 52-week high of $40.55, but +22.7% above 52-week low of $17.40. Intraday range: $20.69–$21.94. Core Market Drivers: Chewy's Q2 results (Sept 9) showed EPS of $0.36 in-line and net sales of $33.3B (+7.4% YoY), but revenue missed optimistic estimates. Management raised full-year revenue and margin guidance, sparking a rebound from oversold levels. However, Evercore ISI downgraded to "In Line" (PT cut $33→$25), while BofA trimmed PT to $27. Technical Analysis: 📊 RSI(6) recovered sharply to 37.7 from 18.1 thr
147
·
09-15 20:22
$INTU Rallies 5.47% with Investor Day in Focus
$Intuit(INTU)$ $Intuit Inc.(INTU) Surged +5.47%: Fintech Giant Reclaims $339 with RSI Momentum Flip, $396 Resistance in Sight Latest Close: $339.15 (+5.47%), closing near session high of $342.31. Still 52% below 52-week high of $705.08, but 19% above 52-week low of $252.84. Core Market Drivers: RBC analysts highlight the upcoming Investor Day as a confidence rebuild catalyst. Application software sector broadly rebounded (Salesforce +3.14%, Adobe +3.31%), fueling a sympathy rally after INTU's prior FY2027 guidance-driven selloff to $309.80. Technical Analysis: RSI(6) jumped from 36.03 to 57.53 — exiting oversold territory and confirming bullish momentum. RSI(12) reclaimed 52.44, above the neutral 50 line. MACD histogram remains negative (-12.93) b
108
·
09-15 20:20
$AI +6% as Software Takes the Lead in the AI Trade
$C3.ai, Inc.(AI)$ $C3.ai, Inc.(AI) +5.98% Surge: AI Momentum Ignites, RSI Breakout Targets $12.40 Resistance Zone 📊 Latest Close Data C3.ai closed at $11.17 (+5.98%) on September 15, 2026, with intraday range of $10.52–$11.38. Price now sits 44.7% below its 52-week high of $20.22, but momentum is clearly turning upward. 🔥 Core Market Drivers AI software sentiment got a fresh boost as enterprise automation plays rallied broadly. C3.ai's improving capital flow data (+$4.975M on 9/11) and BlackRock's 8.87% institutional stake anchor confidence. Short volume ratio remains elevated at 21.56%, keeping squeeze potential alive. 📈 Technical Analysis Volume reached 5.67M shares with a 1.10 volume ratio — confirming participation. RSI(6) jumped to 72.3, enteri
153
·
09-15 20:16
$W Is Closing In on $110 After Strong U.S. Growth
$Wayfair(W)$ $Wayfair (W) Jumps +6.31% to $104.79: E-Commerce Momentum Builds, $110 Resistance in Sight 🚀 Latest Close Data: W closed at $104.79, up +6.31% (+$6.22) on Sep 15, 2026. The stock is now just -12.7% below its 52-week high of $119.98, after touching an intraday high of $106.38. Core Market Drivers: Wayfair's surge follows Bernstein's August upgrade to Outperform with a $125 target, citing home furnishings recovery momentum. Q2 earnings from early August showed revenue of $35.19B (+7.6% YoY) beating consensus, with U.S. sales up 8.7% — the fastest since COVID. Analysts see continued share gains from traditional retailers. Technical Analysis: Volume came in at 3.03M shares (volume ratio 1.42x), showing strong accumulation. RSI(6) jumped to 6
2.08K
·
09-11
$ASTS 20260918 85.0 CALL$ Strangle existing put with ASTS call during price recovery for more credit.
ASTS CALL
09-10 21:52
US20260918 85.0
| Side | Price | Filled | Realized P&L |
|---|---|---|
| Sell Open | 0.17 1Lot(s) | +94.12% Holding |
1.25K
·
09-11
$HOOD 20260918 99.0 PUT$ Limit order filled to sell Hood cash secured put during price retracement.
HOOD PUT
09-10 21:34
US20260918 99.0
| Side | Price | Filled | Realized P&L |
|---|---|---|
| Sell Open | 0.52 1Lot(s) | +50.00% Holding |
933
·
09-12
$OKLO 20260925 34.0 PUT$ Limit order filled to sell OKLO cash secured put at strike $34 , below $35 psychological support
OKLO PUT
09-11 21:36
US20260925 34.0
| Side | Price | Filled | Realized P&L |
|---|---|---|
| Sell Open | 0.69 1Lot(s) | -20.28% Holding |
1.53K
·
09-12
$OKLO 20260918 35.0 PUT$ Limit order filled at market open to sell OKLO cash secured put at strike $35 psychological support zone for credit.
OKLO PUT
09-11 21:30
US20260918 35.0
| Side | Price | Filled | Realized P&L |
|---|---|---|
| Sell Open | 0.36 1Lot(s) | -58.33% Holding |
2.60K
·
09-14 21:33
$AMD 20260918 450.0 PUT$ 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: $17,775
AMD PUT
09-14 21:33
US20260918 450.0
| Side | Price | Filled | Realized P&L |
|---|---|---|
| Sell Open | 2.25 1Lot(s) | -- Closed |
TOPMosesMoses: 450 short put is fine till it isn't lol. Below 400 the margin stress gets ugly fast, that Sep premium run is carrying more tail risk than it looks
258
·
09-14 21:46
$AMD 20260921 450.0 PUT$ 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 |
895
·
09-14 22:16
$NVDA 20261030 195.0 PUT$ 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) | +5.13% Holding |
TOPData center growth is still the whole story here. If gross margin holds above 80%, the AI spend cycle is nowhere near done
5.53K
·
09-14 23:35
$META 20260918 570.0 PUT$ 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
6.42K
·
09-15 09:45
$GLXY 20261016 35.0 CALL$ 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.
8.05K
·
09-15 17:13
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.
9.77K
·
09-15 18:39
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]
553
·
09-15 17:30
【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.
666
·
09-15 17:32
【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.
463
·
09-15 17:28
【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.
379
·
09-15 17:26
【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]