$TZA 20260618 8.0 CALL$ 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.
$MSTR VERTICAL 260522 PUT 155.0/PUT 152.5$ MSTR's stock is highly correlated with Bitcoin price. The company's recent Q1 loss and shift towards active Bitcoin sales suggest fundamental pressure.
Monthly Hot Picks | What's Trending? 🔥 (Plus Bonus Inside!)
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$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.
$S&P 500(.SPX)$ 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
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.(
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
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:
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
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
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
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 $
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): $Microsoft(MSFT)$ , $Amazon.com(AMZN)$ , $Meta Platforms, Inc.(META)$
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
If you strip away the optics, the sequencing usually follows what can be signed quickly versus what requires regulatory clearance or political capital. 1) BA / GE – most immediate (highest probability) Aircraft orders are the cleanest “headline deliverable”. China can announce bulk orders for Boeing with engines tied to General Electric (GE Aerospace). These deals are politically symbolic, commercially straightforward, and have precedent during state visits. Expect this first, possibly even during the visit. 2) MU / ILMN – medium-term (policy signalling first, fundamentals later) Micron Technology easing is plausible as a goodwill gesture. But actual earnings impact depends on procurement recovery, which takes quarters. For Illumina, any thaw is slower. Genomics sits closer to national sec
I think the market is treating Alibaba Group less like an e-commerce company now and more like a “China AI infrastructure + sovereign cloud” proxy. That is the real rerating driver. The bullish case is not hard to understand: Cloud revenue +38% AI-related revenue still growing triple digits Management saying AI products are already ~30% of external cloud revenue and could exceed 50% within a year “No GPU sits idle” implies utilisation is extremely high, which matters because idle GPUs destroy ROIC in AI infrastructure businesses But the market is also glossing over something important: operational profitability is ugly right now. Adjusted net income collapsing toward near-zero while capex explodes tells you Alibaba is still in the “build first, monetise later” phase. The key qu