$TRIP.COM-S(09961)$ I don't care sentiments and technical trend, company P/E TTM is lowering significantly. It doesn't need to buy the lowest price, good price is good enough for me.
Big-Tech Weekly | GOOG Gemini 3.0 Breaking the Internet! NVDA's Options Under Pressure!
Big-Tech’s PerformanceMacro Headlines This Week:A flood of delayed economic data finally hit the markets, while clear divisions emerged inside the Fed on whether to cut rates again in December. Confidence in a "soft landing" took a hit, and US stocks swung wildly. The early "Trump trade" euphoria gave way to sober reality: the end of the government shutdown unleashed the data backlog, but the numbers were soft + Fed hawkishness escalated, completely shattering the near-certainty of a December rate cut.The Fed's policy path is now the biggest source of uncertainty. The minutes from the October FOMC meeting (released Nov 19-20) revealed obvious splits on a December move. The delayed September jobs report (finally out on Nov 20) showed weaker-than-expected payroll growth, with the unemploymen
When we lose money in the market, the instinctive reaction is often: “Maybe I’m just not good at this.”But the truth is surprising — some of the most influential figures in history also suffered huge losses in the stock market. And for many of them, those failures became the start of something bigger.Take Isaac Newton.During the South Sea Bubble in 1720, London was swept up in speculation. Everyone was talking about the stock — even café waiters were bragging about “guaranteed profits.” Newton stayed cautious at first. But after watching friends make quick money, he jumped in and made £7,000 — a fortune for him at the time.He could’ve walked away.But when others made even more, he went back and bought at the top.When the bubble burst, he lost roughly £20,000 — worth millions today.That’s w
U.S. stocks reversed sharply and fell, how to short TQQQ
As the financial report of Nvidia, the leading stock by market capitalization, failed to continuously boost market sentiment, the three major stock indexes of new york stock market turned from rising to falling on the 20th. At the close, all three major stock indexes fell significantly, suffering a rare sharp reversal.As of the close of the day, the Dow Jones Industrial Average fell 386.51 points from the previous trading day to close at 45,752.26 points, a decrease of 0.84%; The S&P 500 stock index fell 103.40 points, or 1.56%, to close at 6538.76 points; The Nasdaq Composite Index fell 486.18 points, or 2.15%, to close at 22,078.05 points.10 of the 11 major sectors of the S&P 500 index fell and 1 rose. The technology sector and consumer discretionary sectors led the decline with
$NVDA 20251219 165.0 PUT$ POV: You set up a jade lizard before earnings, took 70% profit on the CSP right before NVDA nuked (caught that IV crush 😎) and now you’re just sitting back letting the credit call spread finish the job. 🐉💅📉
My SPYG Covered-Call Blueprint: How I Aim for 3% Every Two Months With a 4% Safety Buffer 📘💰
When I first started building my SPYG position, I wasn’t trying to swing for home-run profits or gamble on big market moves. I simply wanted a method where I could generate steady, repeatable income while holding an ETF that mirrors the S&P 500’s growth segment. That was when I decided to adopt a disciplined covered-call strategy—something stable, repeatable, and with a safety buffer that lets me sleep well at night. And this month, that strategy showed again why it works so beautifully for me. I bought my SPYG shares at $103.16, and almost immediately I sold a covered call at the 102 strike, collecting a $5.08 premium. That premium alone lowered my actual cost from $103.16 to $98.08, giving me a built-in downside buffer of around 4%. With that premium, my maximum potential short-term
$GOOG DIAGONAL 260116/251226 CALL 130.0/CALL 320.0$ GOOG PMCC active: long 130C LEAP + monthly shorts, writing out a steady drip of premium into pocket 😍 Farming theta with controlled upside while riding IV cycles, this is my favourite slow compounding setup lately. Delta-guided strikes on this mainly.
📉 "Flash Crash" or Bear Trap? Why I Bought the Kioxia Panic One Japanese giant just sneezed, and the whole US chip sector caught a cold. Here is why the market is wrong. If you hold Micron ($MU), Western Digital ($WDC), or the newly spun-off Sandisk ($SNDK), yesterday was ugly. The news broke that Kioxia (Japan’s NAND King) saw quarterly profits plunge ~60% YoY. The Algo-Traders read "Memory Profits Down" and hit the SELL button on everything. Micron? Sold. Western Digital? Sold. Seagate? Sold. But looking at today’s pre-market (Green across the board), the smart money is already fading the move. Why? Because not all "Chips" are created equal. We are witnessing a massive divergence between Consumer Electronics (Dead) and AI Infrastructure (Booming). 🕵️♂️ The Insight: The "Apple Trap" vs.
$Advanced Micro Devices(AMD)$ yeah it's dropping means we can buy again! Please drop more then let's buy together! Just buy and buy then buy and buy! Gogogogo!
$NVIDIA(NVDA)$ Here we go again: Nvidia just walked into earnings and flipped the “AI bubble” narrative on its head. On Nov. 19, Nvidia reported fiscal Q3 (ended Oct. 26) revenue of $57.0 billion and diluted EPS of $1.30—both above Wall Street’s expectations. Data-center sales, the heart of its AI business, hit a record $51.2 billion. The company guided next quarter’s revenue to about $65 billion, plus or minus 2%. Shares popped roughly 4–5% on the news as traders exhaled.  Two reasons: demand and direction. CEO Jensen Huang said Blackwell chip sales are “off the charts,” and the company sees accelerating compute needs for both training and inference—wonky words that simply mean building AI models and then ru
$Alphabet(GOOG)$ Google just cleared a psychological hurdle: $300 a share. If you felt your phone buzz last night, that was Alphabet popping champagne — and setting off a new round of “is this the top?” debates. On Nov. 19, Alphabet (GOOG/GOOGL) ripped through $300 intraday and printed a fresh record high around $303–$304 before settling near $293 by the close. Volume spiked, and both share classes notched new 52-week highs. Year to date, Alphabet is up roughly 54%, putting it at — or near — the front of the Magnificent Seven pack.  What lit the fuse? Google officially rolled out Gemini 3 Pro, its newest flagship AI model, with Google’s blog touting better reasoning and multimodal chops. Developers also got a
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$TSLA 20251128 430.0 CALL$ Support: $422, $411-414, $402 Resistance: Possible $422?, $428-429 Played the TSLA upside momentum in my earlier Cash Secured Put position, but this time I am targeting the next rejection level at around $428-429. Entered my first Covered Call position when TSLA is trading around $426. Was not a good entry as I was alittle too rash to enter this position. Entered this 2nd Covered Call position when TSLA trading at around $427, averaging my options position at $9.72. Now will just watch the price level at $428-$429 for possible rejection. My stop-loss is still at 30%. Note not to follow my stoploss %, I have a bigger risk appetite. Trade safe, Tiger friends! [Victory]
$TSLA 20251128 400.0 PUT$ Support: $422, $411-414, $402 Resistance: Possible $422?, $428-429 Thanks to NVDA earnings, TSLA managed to secure back the $414 level. If TSLA managed to break and hold $414, we should be able to see upside momentum for TSLA today towards $422 maybe? Sold this Cash Secured Put position during the opening when TSLA price was around $415 Targeting to exit this position at around 15-30% profit. Stop-loss at same %. Trade safe, Tiger friends! [Victory]