To The Moon

1. $NVIDIA(NVDA)$ I’ve got NVDA at $225 by end of Q1 2026. 🎯 Monthly BX flipped bull in June and we’re already +28%. Under $193 is a discount; worst case I see a dip to $160–165 before the next leg and ~30% upside in the next 90–110 days. 2. $Advanced Micro Devices(AMD)$ Where I plan to buy AMD again 👀We called the summer bottom and rode it +140%, then cut all longs in October once price stretched way above our BX path (~$160 by Dec 2026; $320 by late 2027).Monthly BX is still bullish, but we’re not in a discount zone.I only get back in if BX stays green and we pull back to $150–160. Patience over chasing. 3. $Strategy(MSTR)$ MSTR is in an extreme discount zone,

1. $Robinhood(HOOD)$ HOOD bull cycle might be entering the 8th inning. ⚠️Monthly BX has been green for ~18 months (macro bull), and our last big trade was off the April 2025 discount bias level. Since then it’s run hard, and I see room for another ~14% drop into weekly bias discount before a real dip‑buy setup.Unless we get that pullback and Monthly BX stays green, the risk/reward isn’t worth buying HOOD here. 2. $UiPath(PATH)$ PATH ripped +50% since our structure flipped from bearish to bullish… but I’m not a buyer here.For a year it was making lower highs/lows (no‑go for longs). The signal was the change of character when price broke that last lower high, then pulled back to ~$13 in November – that high

1. $Lululemon Athletica(LULU)$ LULU 2026 target $300 and 2027 target $450 are still on the table. 📌Since we called the bottom it’s already up ~30% and short‑term structure is flipping from bearish to bullish. Typically that means a run toward $250, then a pullback to a higher low.Worst case over the next 2–3 months I see a dip toward ~$190, then institutions stepping in and driving it toward $300. 2. $Oracle(ORCL)$ Do not ignore this $ORCL pullback. 👀Our bull‑cycle strategy went long in June and $ORCL ran ~100%. The model had us around $180 by Dec 2025, so even after this drop we’re basically right on schedule.If December’s Monthly BX stays green, this is a dip I want. If BX flips red, we take a small los

Are you a retiree looking for dependable passive income? Or an investor who wants your investments to generate cash flow to cover monthly expenses? The “money laddering” strategy is a simple, structured way to achieve this goal by creating predictable, repeating cash flow.View the Cash Flow Generation using Laddering Strategy on CNA Money Mind.What is a Money Laddering Strategy?Laddering is the process of splitting your total investment capital into smaller parts (or “rungs”). Instead of putting all your money into one asset that pays out once a year, you invest in multiple assets that mature or pay out at different, staggered times.The Key Benefit: This ensures money flows into your bank account regularly, often monthly or quarterly, instead of waiting a full year or more for returns. Thi

In 2025, more Tiger investors than ever are hitting the million-dollar mark. Through our “The Road to Million Dollars” series, we sit down with these standout traders to explore how they think, stay disciplined, and grow along the way.At Tiger, investing isn’t just about profit and loss — it’s a journey from ambition to achievement. We hope their stories inspire others to set clear goals and turn the idea of a million dollars from a dream into something real and attainable.In the Hong Kong and US markets, some trade on intuition, others surf on emotion. But Aaron_Hy belongs to a breed that commands respect even from peers: running a business by day, watching the market by night. With solid research and hyper-strong execution, he navigates the noise of high-volatility options and the tech s

My latest 45-name Liquid Mega list, ranked by 1-month relative strength. I’ve also included an “Average $ Volume” column to show liquidity, along with the available liquid leverage and inverse proxies for each name as a reference guide.Strongest to weakest by 1-month relative strength: $Upstart Holdings, Inc.(UPST)$ $UnitedHealth(UNH)$ $Tesla Motors(TSLA)$ $Rocket Lab USA, Inc.(RKLB)$ $AST SpaceMobile, Inc.(ASTS)$ $Palantir Technologies Inc.(PLTR)$ $Reddit(RDDT)$

$SYNAGISTICS(02562)$ 獅騰控股於創新前沿，推動亞洲快速發展數字化經濟轉型。

$SYNAGISTICS(02562)$ 獅騰控股（2562）挫近6%創新低，現報2．79元又破底，有排跌

$Invesco NASDAQ 100 ETF(QQQM)$ Adding QQQM, taking advantage of the dip. I believe this is stakeout before the breakout.

$TLT 20260102 86.0 PUT$ 先開2張試水，86的價格對應20年期美債收益率大約在4.9左右

$CHINA CINDA(01359)$ 本來想再睇定啲先入，不過都叫又有啲波幅，即日唔緊要，即刻買返，重新開倉係老虎

$NVDA 20251226 155.0 PUT$ The broader market pullback was indeed sparked by Oracle's latest earnings, where the company missed revenue estimates and, critically, announced a massive increase in its capital expenditure forecast for its AI data center build-out—raising its fiscal year 2026 outlook by a substantial $15 billion to a total of $50 billion. This massive investment, coupled with the revenue miss, spooked investors who are increasingly questioning the return on investment in the AI infrastructure boom, which led to significant selling pressure across the entire AI-heavy tech sector. This is precisely what created the opportunity for the trade: NVDA shares fell hard, dropping as much as 4% in the early session, giv

$HOOD 20251219 109.0 PUT$ The drop in Robinhood's share price two days ago and the subsequent slide yesterday were largely a reaction to the company's November 2025 Operating Data, which showed a notable slump in trading activity. Specifically, Crypto Notional Trading Volumes fell by 12% month-over-month, and Equity Notional Trading Volumes dropped a significant 37%. The report also showed a decrease in Funded Customers due to the required escheatment of low-balance accounts. This overall decline in key trading metrics raised concerns among investors about the near-term health of their retail trading business, especially as crypto has been a major growth driver. Given this significant technical pullback on fundamental new

$KUAISHOU-W(01024)$ 呢單野堅定流架[捂脸]  ，15:59仲67.95喎。盤後16:08先收67.45。咁樣要我接1千股[惊讶]  ？擺明益我送錢比我洗架姐[贱笑]  [贱笑]  ，除非美股今晚大跌，不然的話，我有信心星期一會高開[胜利]   

$Broadcom(AVGO)$ This is a no brainer. It beat revenue and EPS expectations. People are only panic selling, AI will stick around for sometime. We have a whole department just dedicated to AI in my company.