Everyone wants to find the next $Palantir Technologies Inc.(PLTR)$ . Few talk about how to hold a winner long enough for the thesis to play out. I called long-term LEAPS near $105. My $200 stock target just hit, with gains now up $110,000. That’s the power of LEAPS. More time for a long-term thesis to play out without having to nail next week’s move. 🔎 5 names worth researching for a similar approach $Snowflake(SNOW)$ — Data + AI $ServiceNow(NOW)$ — AI-powered workflows $SpaceX(SPCX)$ — Space launch + Starlink satellite internet $Datadog(DDOG)$ — Cloud + AI monitoring

$Alphabet(GOOGL)$ We posted the level and the contracts before the headlines hit. As long as $340 holds as support, the bullish setup remains intact. The focus now is whether buyers can defend this level and keep the momentum going. If support holds, adding exposure on strength or controlled pullbacks could keep the longer-term opportunity in play. 📌 October 16 $350 calls — Short-term upside exposure if momentum continues. 📌 March 2027 $370/$400 bull call spread — A defined-risk way to position for a move higher over the coming months. 📌 January 2028 $450 calls — LEAPS — Longer-term exposure to the thesis, with more time for the move to develop. The strategy spans three time horizons, from a near-term catalyst trade to a longer-term bet on contin

$S&P 500(.SPX)$ $SPDR S&P 500 ETF Trust(SPY)$ How $1,000 Could Scale to $100K a Month 📈 The idea is simple: start with one credit spread, then gradually increase the number of spreads as your capital grows. Assume each spread requires $1,000 in margin and generates $100 in profit. Week 1–2 1 spread per day → $100/day → roughly $500/week After two weeks, you’ve built up roughly $1,000 in profits, bringing the account to about $2,000. Week 3 2 spreads/day → $200/day → $1,000/week Week 4 3 spreads/day → $300/day → $1,500/week Week 5 4 spreads/day → $400/day → $2,000/week Week 6 5 spreads/day → $500/day → $2,500/week …and so on. The idea is to add roughly one additional spread each week as the account

My long-term $ARM Holdings(ARM)$ calls are up 680%+ in this screenshot. And I’m approaching $SpaceX(SPCX)$ with a similar playbook. I waited for the pullback after the IPO, started buying around $110, and kept adding. My $SPCX shares now average around $115, up roughly 50%, while my December 2028 calls are up nearly 68%. Here’s what gave me the conviction to keep holding. 👇🏻 🛰️ Long-Term Demand In May, SpaceX won a $4.16B Space Force agreement to develop satellites capable of tracking airborne threats globally. That came on top of a national security launch contract with an anticipated value of nearly $6B. These aren’t one-quarter catalysts. They represent years of potential work ahead. SpaceX still has to

A close above $253 would be ultra-bullish for $Amazon.com(AMZN)$ . The breakout targets I’m watching: 🎯 $270+ first 🎯 $300 by Q1 2027 Similar breakout setups have already played out in $Meta Platforms, Inc.(META)$ $Microsoft(MSFT)$ $Advanced Micro Devices(AMD)$ $Tesla Motors(TSLA)$ $Micron Technology(MU)$ $AMZN reclaiming key levels would put the stock back on traders’ radar, with the chart now showing a potential trendline break attempt. The next step is simple: Can buyers sustain momentum and push through overhead resistance? We’ve been

You don’t have to catch every daily move to catch a big winner. 👀 My $Apple(AAPL)$ positions: 🍎 Shares — DCA every month 🍎 Long-term calls — +556% This is why shares + long-term LEAPS remains one of my favorite strategies. Build ownership in companies you believe in. Add measured options exposure for upside. Give your thesis time to play out. You don’t need to catch every move. You need to stay positioned for the big one. 🍎 Markets are always moving - and sometimes, the best move is knowing what works for you. With Treasury yields, oil prices and rate expectations keeping markets on edge this week, investors are once again thinking carefully about where to position next. There’s no one-size-fits-all choice in investing — and the same goes for Tige

🔥 3 BIG WATCHES FOR THE NEXT MOVE I’m watching three very different setups: 1️⃣ $Advanced Micro Devices(AMD)$ — Continuation Setup Double hammer candles on the daily chart. 🔨🔨 If the continuation confirms, I’m watching: 🎯 $635 → $640 Calls are the trade I’m watching here. $AMD closed at $633.91 on Oct. 2, putting those levels directly in focus. 2️⃣ $Apple(AAPL)$ — Bottom Confirmation $AAPL had a big reversal yesterday. Now I’m watching for confirmation that the bottom is in. 🔑 $325 is the level. If price can hold/reclaim that area, I’m watching for the upside move. 📈 Calls are on my radar. $AAPL closed at $333.69 on Oct. 2, above that $325 level. 3️⃣ $NVIDIA(NVDA)$

🚨 $Micron Technology(MU)$ IS GETTING SOME SERIOUS WALL STREET TARGETS After earnings, analysts continued raising their expectations for Micron. The highest target is now $2,200 from Melius Research. D.A. Davidson is at $2,100, while Cantor Fitzgerald sits at $2,000. Current analyst data also shows a low target of $1,200. That $2,200 target would mean roughly another $1,000/share from the recent ~$1,200 level. 📊 The targets 🔥 $2,200 — Melius 🔥 $2,100 — D.A. Davidson 🔥 $2,000 — Cantor Fitzgerald 🔥 $1,900 — Rosenblatt 🔥 $1,750 — KeyBanc 🔥 $1,650 — Needham 🔥 $1,625 — UBS 🔥 $1,600 — TD Cowen 🔥 $1,550 — BofA 🔥 $1,540 — J.P. Morgan 🔥 $1,520 — Baird 🔥 $1,500 — Stifel 🔥 $1,400 — Wedbush 🔥 $1,400 — Mizuho 🔥 $1,300 — Bernstein 🔥 $1,300 — Citi 🟡 $1,250 — Goldm

$Tesla Motors(TSLA)$ Q3 DELIVERIES BEAT EXPECTATIONS Tesla delivered 486,532 vehicles in Q3, well above estimates around 463K–464K. Production came in at 464,391. That delivery beat is already getting attention, with $TSLA shares jumping roughly 5% after the report. 📊 The key numbers 🚗 Q3 deliveries: 486,532 🏭 Q3 production: 464,391 📈 Est. deliveries: ~463,761 🔋 Energy storage deployments: 13.7 GWh Deliveries were down roughly 2% YoY from 497,099, but improved from 480,126 in Q2. Model 3 and Model Y accounted for 98% of deliveries. 🎯 Here’s my gamma squeeze setup The level I’m watching is: $359.79 — previous day high If $TSLA can hold above $359.79 or reclaim it, I’ll be watching: 🔥 Oct. 2 $360–$365 calls for a potential move toward $365+. No chas

🚨 $Broadcom(AVGO)$ IS NEARLY 30% BELOW ITS $495 HIGH. Meanwhile, Broadcom just delivered: 📈 Revenue growth: +86% YoY 📈 Adjusted EPS growth: +96% YoY 🔥 AI semiconductor revenue: +221% YoY And management expects AI revenue growth of 236% next quarter. That’s why this pullback has my attention. 👀 🎯 The setup I’m watching $AVGO is around $347 on this chart. A move back to the previous $495 high would represent roughly 43% upside from here. Key levels: 🟢 $330–345 → Buyers need to defend 🔑 $360–365 → Reclaim would strengthen the setup 🚀 $400 → First upside level 🚀 $430 → Next target 🎯 $495 → Previous high ⚠️ I don’t want to chase the first bounce. I want to see price confirm the reversal before taking the swing. If $330–345 fails, the setup weakens. St

⚠️ The bond market is flashing a warning that stocks can’t ignore. The 10Y and 30Y Treasury yields just hit their highest levels since 2002: 📈 10Y: ~5.33% 📈 30Y: ~5.67% And here’s the part that gets my attention: The last time yields were around these levels, $SPDR S&P 500 ETF Trust(SPY)$ was in the middle of a 49% crash. 📉 Why are yields rising? This time, the pressure is coming from several directions: 🔥 Sticky energy-driven inflation 🏦 A Fed that just hiked for the first time in 3 years 💰 Fiscal concerns pushing investors to demand more compensation for holding US debt Higher long-term yields mean higher discount rates. And that creates the most pressure on long-duration growth stocks — exactly the AI and tech names carrying the index. 🚨 T

I said to buy $Micron Technology(MU)$ at $80. Now it’s trading above $1,000 — and the crazy part? $MU is cheaper right now. 👀 🎯 I didn’t just call $MU to $1,100. I called $1,100 as the earnings target for this quarter. Then $MU hit it. At that point, I said the earnings move was already priced in and told members to consider a $1,000 / $1,100 / $1,200 butterfly instead of chasing calls. Now earnings are out, and the $1,100 target was right on the money. 🔥 But I’m not done with the thesis. I’m still bullish on $MU into Q4, with $1,250 as my next target. $80 → $1,100 was the first leg. Now I’m watching what comes next. 📈 Markets are always moving - and sometimes, the best move is knowing what works for you. With Treasury yields, oil prices and rate ex

$Intel(INTC)$ went from $20 to $140 in one year. That’s roughly a 7x move. Now the market is starting to look for the next companies with a similar strategic setup — small enough to rerate dramatically, but tied to sectors Washington considers strategically important. Here are 3 names on my radar 👇 1️⃣ $Aeluma, Inc.(ALMU)$ 🔬 Small-cap semiconductor + photonics play. Aeluma has signed a letter of intent involving CHIPS Act funding in exchange for a government equity stake. The company is tiny relative to the other names here, which means the upside could be substantial if the deal closes and execution follows. 2️⃣ $USA Rare Earth Inc.(USAR)$ 🇺🇸 Washington is back

📉 Stocks sitting at 52-week lows $Trade Desk Inc.(TTD)$ $12.60$DraftKings Inc.(DKNG)$ $22.02$Papa John's(PZZA)$ $19.55$Campbell Soup(CPB)$ $19.37$Li Auto(LI)$ $11.50$Simply Good Foods Company(SMPL)$ $9.60$Beyond Meat, Inc.(BYND)$ $8.35$Sunrun(RUN)$ $8.11$Weibo(WB)$ $6.49$Fermi Inc.(FRMI)$ $4.52 Out of this list, $DKNG is the one I’m watching for a potential reversal. Here’s

I called $Micron Technology(MU)$ to $1,100 when it was still trading in the $900s. I first posted the target on Sep 3 ahead of earnings, then repeated it on Sep 4, Sep 9, Sep 15 and Sep 17. On Sep 25, MU printed $1,108.72 — five days before earnings. 🔥 +$159.28 per share 🔥 +16.8% from my original call 🎯 $1,100 TARGET: NAILED Now the options tape is pointing to the next levels: • 200 Oct 2 $1,100 calls → $510K premium • 9,048 OI at the $1,100 strike • ~$2.93M across long-dated $1,200 calls • ~$6.18M in visible opening $1,000-call activity across Oct/Nov The $1,100 target is done. Now the question is how far the positioning can push the next leg. 👀 Markets are always moving - and sometimes, the best move is knowing what works for you. With Treasury y

The 10Y just hit 5.23%, its highest level since June 2007. The immediate reaction is obvious: 📉 Higher yields 📉 Higher discount rates 📉 “ $SPDR S&P 500 ETF Trust(SPY)$ crash incoming” But history tells a more nuanced story. Since 1953, the 10Y has broken above 5% nine times. Over the following 12 months: 📊 Average $SPY return: +2% 📊 Normal 12-month return: +9% 🔻 4 of 9 periods were negative 📉 Average worst drawdown: -10% That's not a comfortable setup. But it also doesn't automatically equal a crash. The bigger question is why yields are rising. 🔥 1️⃣ AI earnings boom Hyperscalers are spending hundreds of billions on AI infrastructure. If that spending continues translating into real earnings growth, stocks don't need multiple expansion alone t

$Microsoft(MSFT)$ went from $2 → $18 on this trade. Here’s the setup I was watching 👇 Last night, $MSFT dropped to around $490, right into a major support level. Then came the first clue: 📈 Price bounced straight back toward $500. But the real signal came in the premarket. Instead of breaking below $490, $MSFT held the level. That tells you buyers were still defending the downside — and potentially positioning for a move higher at the open. 🎯 The setup: Major support → sharp bounce → premarket holds → buyers confirm → opening breakout This is the kind of structure that can precede a big green candle when the market opens. Don't chase the candle. Watch the level first. If support holds and premarket refuses to break down, the risk/reward can change

🚨 AI’s Next Bottleneck Is Bigger Than Chips $Taiwan Semiconductor Manufacturing(TSM)$ just delivered record Q2 profit, raised 2026 capex to $60–$64B, and committed another $100B to U.S. chip production. CEO C.C. Wei says conviction in the multi-year AI megatrend remains very high. But here’s the bigger picture: 🧠 AI infrastructure is becoming a full-stack buildout. The bottleneck is no longer just silicon. 🔹 $Broadcom(AVGO)$ — Custom Silicon Hyperscalers are building chips optimized for their own workloads. Broadcom sits at the intersection of custom accelerators and the networking that connects them. 🔹 $Arista Networks(ANET)$ — Networking Thousands of processor