937
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05-16
$JD.com(JD)$ 仲諗住s.p強勢股贏面會比較高。結果無太大壞消息都可以回到咁。想出貨變接貨。今次慘啦我[摊手]
TOPclipzy: How much patience will I have to endure when I accept Jingdong
718
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05-16
$Tesla Motors(TSLA)$ Buy back at this price but prize droppi g. Too bad but will sell covered call again
TSLA
05-16 13:17
USTesla Motors
| Side | Price | Filled | Realized P&L |
|---|---|---|
| Buy Open | 437.50 100 | -8.56% Holding |
TOPCovered calls again lol, you still comfortable holding if it keeps sliding?
20.99K
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05-17
$TZA 20260618 8.0 CALL$ TZA largest positions are inverse swaps on the Russell 2000 (notably a $609M short position in "RUSS 2000 INDX SMALL SWAP" and a $142.5M short position in "RUSSELL 2000 INDEX SWAP"). These swaps are designed to profit from a fall in the Russell 2000 index.
TZA CALL
05-15 23:41
US20260618 8.0
| Side | Price | Filled | Realized P&L |
|---|---|---|
| Sell Open | 0.04 3Lot(s) | -- Closed |
TOPSelling calls into this is spicy lol, you think small caps roll over again?
28.22K
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05-17
$MSTR VERTICAL 260522 PUT 155.0/PUT 152.5$ MSTR's stock is highly correlated with Bitcoin price. The company's recent Q1 loss and shift towards active Bitcoin sales suggest fundamental pressure.
MSTR Vertical
05-15 23:03
US155.0/152.5
| Side | Price | Filled | Realized P&L |
|---|---|---|
| Credit Open | -0.20 2 | -- Holding |
TOPBitcoin correlation is the whole game here. I’m still holding MSTR, but that active selling part feels rough. Anyone else think the pressure gets worse?
1.01K
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05-18
$ProShares UltraPro QQQ(TQQQ)$ 百子千孫論TQQQ 常言道：「冇比較，冇傷害。」但很多時候，傷害並非來自你自己想比較，而是別人必然會將你與類似的人比較，然後丟下一句：「你冇得同人比。」心靈便受到傷害。 在ETF的世界裡，QQQ與TQQQ便經常被拿來比較。兩者同樣追蹤「納斯達克100指數」，投資的是美國最大的100家非金融公司（如Apple、NVIDIA等）。分別在於，阿哥QQQ沒有使用槓桿，細佬TQQQ則標榜提供「單日」投資報酬率的3倍放大效果。 市場對兩者的評價非常鮮明：阿哥斯斯文文、老老實實，沒有隱藏收費，開支比率僅0.18%；細佬則比較花弗、好高騖遠，開支比率為0.82%，還「死充大頭鬼」玩三倍槓桿。憑藉這些誰也看得出的表面特徵，各界輕易得出結論——阿哥是可以託付終身的伴侶（適合長期持有），細佬則偶爾見面尚可，若託付終身，結果將會死得好慘，因為TQQQ波動和風險都遠高於一般ETF，在盤整或下跌時，損耗會非常驚人。 然而，做研究最忌輕信外表。筆者決定深入一點，明查暗訪兩者的真實歷史。 結果發現，兩者皆曾大上大落，後者因槓桿關係更見誇張。但那些被形容為「食人唔吐骨」的波動損耗，並未令TQQQ煙消雲散。相反，它不斷「開枝散葉」——上市至今十六年，已分割了八次，當中七次是二拆一，更有一次是三拆一。反觀大哥QQQ，只在上市翌年做過一次二拆一。 TQQQ十六年分拆八次，平均兩年一次。每次分割的最低要求（筆者假設是破百元才分割），變相告訴我們一個祕密：TQQQ大約每兩年便倍翻一次。對於這個鮮為人知的發現，筆者的心情有如當年哥倫布發現新大陸般興奮，因為這並非我意料之內。 為了追求真相，筆者決意掘深一點。假設投資者於兩者上市時各買入一股，此後沒有再增持（QQQ於
TQQQ
05-18 08:02
USProShares UltraPro QQQ
| Side | Price | Filled | Realized P&L |
|---|---|---|
| Buy Open | 74.00 15 | -- Closed |
5.24K
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05-18
Monthly Hot Picks | What's Trending? 🔥 (Plus Bonus Inside!)
😍 Tiger Merch Monthly Top Picks are here! 🎉 The Monthly Top 5 most popular items have been revealed — all Tigers-favourite picks. As a thank-you for your support, enjoy 12% OFF all Top 5 merch! Check out what your fellow traders are grabbing: 👇 🏆 TOP 1: Million-Dollar Reversible Blanket 💬 "Bold on the inside, sleek on the outside." 🔥 Why it’s a hit: Two moods in one blanket— Switch between a bold, vibrant statement and a sleek, minimalist vibe. Made with soft milk fleece for a cosy feel during late-night trading sessions or relaxing at home. 🥈 TOP 2: 「Win Win」 Tiger Handheld Cooling Fan 💬 “Keep your cool, even when the market heats up.” 🔥 Why it’s a hit: A practical summer essential designed for Singapore’s heat. Equipped with powerful cooling performance and 6 wind modes to keep you comfo
TOPThe blanket is a favourite for me . Keeps me warm and fuzzy
6.13K
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05-17
$GOOG, $MU, $NVDA, $AMD, and $LITE Deliver 100%-400% Returns by 2035
These 5 stocks should 100%-400% by holding it until 2030-2035: 1. $Alphabet(GOOG)$ — analyst consensus strong buy, avg PT ~$600, with bulls targeting $550. I used $550 as a 2030-horizon bull case. 2. $Micron Technology(MU)$ — Deutsche Bank and DA Davidson both have PT of $1,200 with Buy ratings, citing HBM supply locked through 2030+. 3. $NVIDIA(NVDA)$ — avg analyst PT ~$280, highest at $380. Used $350 as a strong conviction long-term target. 4. $Advanced Micro Devices(AMD)$ — BofA recently raised PT to $600, citing AI spending staying strong longer than the market expects through 2030 5.
TOPI'm v good at buying at the peak and forced to hold as they plunge to the low stagnant end for a long time. When I finally get rid of them, that's when they take a sky lift up. The ones I still hold now are the same.
5.29K
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05-17
Are the market's hottest stocks sustainable?
$S&P 500(.SPX)$ profits are soaring, there’s no doubt about that. And the market has gone higher with those profits. My question is around what’s sustainable and what isn’t in today’s economy. For example, can you guess what company this quote is about? [Company X] today posted robust earnings that roughly tripled expectations, a surge primarily caused by sales in its memory division. Yep, it’s Micron $Micron Technology(MU)$ ( ▼ 6.62% ). Now, guess what year this was written? I’ll give you a hint, it wasn’t 2026. It was 2000. September 26, 2000, to be exact. Micron is by its nature a cyclical stock. When times are good, profits surge and the money is reinvested in growing capacity, which inevitably lead
6.64K
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05-17
If $SPY Falls Toward $650, Which of These 20 Stocks Would You Buy Aggressively?
20 stocks I'll add in this May/June 2026 $SPDR S&P 500 ETF Trust(SPY)$ crash. Remember, market always bounces back to all time highs. 1. $NVIDIA(NVDA)$ $225 Buy: $180–190 Prior breakout and massive institutional demand zone. 2. $Micron Technology(MU)$ $725 Buy: $500–$550 Strong support and AI memory demand acceleration zone. 3. $Alphabet(GOOG)$ $392 Buy: $350–360 Historical accumulation zone and long-term AI infrastructure support. 4. $Apple(AAPL)$ $300 Buy: $260–270 Major support with massive cash flow and buyback strength. 5. $IONQ Inc.(
6.22K
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05-17
Could $PLUG, $ENLT, and $BEP Become the Biggest AI Energy Winners of the Decade?
CEO $NVIDIA(NVDA)$ says to buy sustainable energy stocks. $Enlight Renewable Energy Ltd.(ENLT)$ is the strongest with price target $400+ Its spiked $15 to $90 for 600% already. Right now, these 16 stocks have the exact set-up: 1. $Plug Power(PLUG)$ — Price: ~$3.76 | Target: $30 Green hydrogen fuel cells deliver clean, on-site backup power for AI data centers bypassing overloaded grids entirely. 2. 2. $Fluence Energy, Inc.(FLNC)$ — Price: ~$20 | Target: $65 Grid-scale battery storage keeps renewable power stable and uninterrupted for 24/7 AI data center operations. 3. 3. $Array Techn
TOPHi, thank you for your kind sharing. I just started noticing you sharing a number of hot AI related companies a couple of days ago and have decided to stick around a little. I am just curious, what is the basis for the target price? Is it via fundamental analysis, technical analysis, or is it more of a gut feel or wishlist? I mean I love all those target prices. I have a couple of the companies you listed, but frankly, I see potential in many of them. They might fulfill their promises, they might not. Another thing is what kind of timeframe are we looking at to fulfill those target prices? This is another thing that is important in investing or even speculating. Thank you once again for your nice sharing and looking forward to read more of those…
4.79K
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05-17
Relevant Bearish Signals Take the Lead
Back in November 2025, I published a special study outlining our primary bullish target for 2026: 7,470 on the $S&P 500(.SPX)$ . Today, that exact mark has been reached, defying the widespread pessimism observed back in March. That analysis was rooted entirely in documented technical patterns, with zero gut feeling involved. Last Wednesday, our Market Intelligence study provided a clear roadmap for what to expect over the next few months, and Friday’s reversal appears to strongly validate the thesis we laid out. Furthermore, back on March 28, this publication highlighted the high probability of a bounce. By disciplined tracking of our weekly SPX levels and key technical indicators, we successfully navigated a 16%+ rally using one simple rule:
7.12K
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05-16
AI Stories are Continuing: AMZN, NVDA& CBRS
Hello everyone! Today i want to share some AI trading ideas with you! 1 DDR5 MEMORY PRICES UP NEARLY 10X DDR4 is older memory that was being phased out but it's spiking too as $Micron Technology(MU)$, Samsung & SK Hynix shift wafer capacity from conventional memory into HBM for AI chips. The AI cycle is pulling on compute, memory, storage & servers at the same time with pricing power now flowing through the rest of the hardware stack. 2 Great to be featured in the Wall Street Journal today talking about the $Cerebras Systems(CBRS)$ IPO. Cerebras is attacking one of the biggest bottlenecks in the AI economy like running massive models faster, cheaper and more efficient
4.78K
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05-16
Is the $720–$722 Zone the Most Important Support Level for $SPY Bulls?
When $SPDR S&P 500 ETF Trust(SPY)$ pulls back I like these 5 levels most (explaination): 1. $720–$722 → (probability 75%) - Almost guaranteed first test, it's the nearest broken resistance 2. $697–$700 → (probability 50%) - Round number + prior base makes it a high-probability magnet 3. $675–$680 → (probability 35%) - Only if macro data deteriorates and 200MA gets tagged 4. $650–$655 → (probability 20%) - Requires a true risk-off panic, not just a garden dip 5. $630–$640 → (probability 10%) - Black swan territory, Fed error or credit event needed ♻️RESHARE this post and make 1 comment for the $SPY option contract I'd add on this dip for 200%-500% 😍 Been eyeing Tiger merch but short on Tiger Coins? Now's your chance. 🎁 We’ve selected 4 high-dema
10.31K
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05-16
Which Sub-$10 Stocks Could Explode if the $SPY Correction Finally Arrives?
10%-20% SPY crash starts right now says Tom Lee. Here's 10 stocks I'd add under $10: 1. $POET Technologies Inc(POET)$ — Current: ~$19 | Buy Zone: $8–$9 Marvell deal noise fades; $50M Lumilens deal holds the floor here. 2. $Fluence Energy, Inc.(FLNC)$ — Current: ~$20 | Buy Zone: $9–$10 $5.5B backlog provides hard support; secondary priced at $21 confirms institutional floor. 3. $Eos Energy Enterprises Inc.(EOSE)$ — Current: ~$8.28 | Buy Zone: $4.00–$5.00 52-week low of $3.69 sets base; AI data center JV narrative holds above $6. 4. $Lightwave Logic, Inc.(LWLG)$ — Current: ~$14.95 | Buy Zone: $6–$7 Post-earnings flush plus
TOPThanks for the stock list.
5.47K
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05-16
Stocks on Cautious Note as Yields Spike and Tech Slips
U.S. equities retreated from recent record highs as geopolitical friction and a sharp bond market decline weighed on investor sentiment. The S&P 500 $S&P 500(.SPX)$ printed a muted week with a net gain of +0.13%, the $Dow Jones(.DJI)$ closed muted -0.1%, and the $NASDAQ 100(NDX)$ declined -0.38%. Sector dynamics told a divergent story. Energy outperformed sharply, rising +6.7% during the week ( $Energy Select Sector SPDR Fund(XLE)$ ), while high-growth equities bore the brunt of the selloff. Discretionary dropped 3.1%, reflecting renewed caution. Materials and utilities also surrendered 2% each as Treasury volatili
8.59K
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05-15
Celebrate QBTS despite Weak earnings. Huh?
By now, I am certain most of my regular readers would ‘know’ that I think Quantum computing will be the next ‘big’ Tech after AI. I have in the past, shared posts on stocks like $Rigetti Computing(RGTI)$ and $D-Wave Quantum Inc.(QBTS)$ where I have vested interests. Click here ! for the most recent. This post is no exceptions and it’s QBTS’s latest quarterly earnings. Q1 2026 Earnings. On Tue, 12 May 2026, QBTS reported its Q1 2026 earnings: Earnings per share: Came in at -$0.05 vs analysts’ forecasts of -$0.08 vs Q1 2025’s -$0.02; that’s a -150% YoY dip. Revenue: Fell by -$12.1 million to $2.9 million vs Wall Street’s consensus of $
TOPNice Sharing 😁 @Barcode @Aqa @DiAngel @Shyon @koolgal @Shernice軒嬣 2000
9.23K
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05-15
Trump Q1 Portfolio Drops: Would You Follow Hardware Trade?
Trump officially wrapped up his China visit. The summit outcomes focused on energy and agricultural purchase frameworks, with zero announcement on easing chip export restrictions. But the real thing worth watching today isn’t the summit communiqué — it’s the simultaneously revealed Trump holdings disclosure: 3,642 trades within just Q1 alone, with estimated total trading volume between $220 million and $750 million, averaging 58 trades per day. Trump’s portfolio aligns with the three policy themes: AI infra, financial deregulation, and fiscal stimulus. Large-scale sells ($5M–$25M per trade): $Microsoft(MSFT)$ , $Amazon.com(AMZN)$ , $Meta Platforms, Inc.(META)$
TOPLarge-scale sells ($5M–$25M per trade): $Microsoft(MSFT)$ , $Amazon.com(AMZN)$ , $Meta Platforms, Inc.(META)$ Large-scale buys ($1M–$5M per trade): $NVIDIA(NVDA)$ , $Apple(AAPL)$ , $S&P 500(.SPX)$ index funds New positions: $Broadcom(AVGO)$ , $Oracle(ORCL)$ , $Synopsys(SNPS)$, $Cadence Design(CDNS)$, $Texas Instruments(TXN)$ Financial exposure includes: $Goldman Sachs(GS)$ , $Bank of America(BAC)$, $Citigroup(C)$, $Morgan Stanley(MS)$, $Wells Fargo(WFC)$, as well as multiple municipal bonds.
25.31K
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05-15
[Winning Trade] Bought the Chip Dip: Tiger Trader Makes $100K on SOXL
Chip stocks have pulled back over the past few days. Before that, AI stocks, memory chip names, and semiconductor equipment stocks had been on a strong run. The whole chip sector felt hot. But after a big rally, bigger swings are normal. When stocks go up fast, they can also drop fast. One Tiger trader bought the dip in $Direxion Daily Semiconductors Bull 3x Shares(SOXL)$ and made $100,000. 👏 Congrats to the @AhhHuat on a $100K winning trade in $Direxion Daily Semiconductors Bull 3x Shares(SOXL)$ So, what is SOXL? $Direxion Daily Semiconductors Bull 3x Shares(SOXL)$ is not a company. It is a 3x leveraged ETF
4.09K
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05-14
Trading Options at All-Time Highs: Strategies for Momentum Stocks and Indexes
Markets hitting all-time highs (ATH) often evoke a mix of excitement and caution. Breakouts into uncharted territory can fuel strong momentum as there's no overhead supply from sellers at breakeven or losses, potentially leading to rapid gains. However, valuations stretch, volatility can spike on reversals, and mean-reversion risks rise. Options provide leveraged, defined-risk ways to participate while managing exposure—ideal for momentum plays but demanding discipline.This article explores how to use options for trading momentum stocks and major indexes (like the S&P 500 via SPX/SPY or Nasdaq-100 via QQQ/NDX) when prices are at or near records. Why Options Shine in ATH Momentum EnvironmentsOptions offer leverage: Control large notional exposure with limited capital. A small move in th