To The Moon

12 stocks large institutions are buying back at cheap prices. No one is even paying attention to these right now: I'd add 2-3 of these stocks right now! Which ones are you interested in the most? 1. $PayPal(PYPL)$ down ~80% Stripe and Advent bidding at 12x earnings, Venmo barely monetized. 2. $Nike(NKE)$ down ~75% Iconic brand at 52-week lows, turnaround priced as permanent decline. 3. $Uber(UBER)$ down ~22% 15x earnings, $10B free cash flow, robotaxis scaling to 15 cities. 4. $Lululemon Athletica(LULU)$ down ~77% Under 10x earnings, no debt, China growing while sentiment bottoms. 5.

When yields spike fast, $SPDR S&P 500 ETF Trust(SPY)$ can crash 20% in 1 day. 6 things are pushing yields up at once. In plain terms: 1. Inflation won't fully die. University of Michigan year ahead inflation expectations rose again in August, a 5th straight month above 4%. Not good when prices are rising! 2. The government is borrowing way more than expected. The CBO just raised its deficit estimate to $2.1 trillion, $200 billion above February's figure. Total federal debt is near $39.8 trillion, and the annual interest bill now exceeds what Washington spends on Medicare or the military. 3. Oil. The Iran-Oman talks over the Strait of Hormuz have traders watching energy prices, and expensive oil feeds straight into inflation. 4. Nobody knows wha

A good entry is not about chasing price after a move has already started. The goal is to wait for price to reach an important level, confirm that buyers are stepping in, and then enter with clearly defined risk. This five-step process keeps the setup simple and gives you a structured way to approach short-term trades on the 1-minute chart. 1. Wait for the Setup The first step is to identify a meaningful support or demand zone. Wait for price to pull back into that area rather than entering while price is extended. The level should be one you have already identified before the trade begins. 2. Watch the Reaction Once price reaches support, look for evidence that sellers are losing control. A bullish rejection candle with a long lower wick or a strong close can show that buyers are defending

I haven’t seen a setup like this since $NVIDIA(NVDA)$ was trading under $20. Here is the set-up: $Netlist, Inc.(NLST)$ just signed a 5 year alliance with $Samsung Electronics Co., Ltd.(SSNLF)$ . Patent cross license. Up to $750M in license fees. $1.5B in memory supply. On a $1.7B market cap. Then two days ago they filed a fresh ITC action against $Micron Technology(MU)$ $SUPER MICRO COMPUTER INC(SMCI)$ $Hewlett Packard Enterprise(HPE)$ and Lenovo. $MU is the last holdout. There's already a $445M willful infringement verdict sitting there

I'm known to pick 1000% winners: $IONQ Inc.(IONQ)$ at $5$AST SpaceMobile, Inc.(ASTS)$ at $2$Palantir Technologies Inc.(PLTR)$ at $17$NVIDIA(NVDA)$ at $18 in February 2023 Right now, three names stand out to me: 1. $NEBIUS(NBIS)$ Revenue is up 454%, with 5GW of power contracted and a $37B signed backlog. Buy zone: $170–$180 The post-earnings gap could fill, with the old $220 resistance potentially turning into support. 2. $Bloom Energy Corp(BE)$ AI data centers need power before they need more GPUs. Buy zone: $170–$180 The stock broke

If you have $2,000 or less, you don't need to own everything. The key is to focus on the strongest names within each part of the AI and technology ecosystem and prioritize quality over quantity. Here’s how I would rank them from strongest to weaker within each category: ☁️ Neoclouds $NEBIUS(NBIS)$ > $CoreWeave, Inc.(CRWV)$ > $Cipher Mining Inc.(CIFR)$ > $IREN Ltd(IREN)$ 🧠 Chips $Advanced Micro Devices(AMD)$ > $NVIDIA(NVDA)$ > $Broadcom(AVGO)$ 🏭 Foundries

Exactly a few years ago around this time, I turned less than $500 into $1,000,000+ You can learn my best strategy in less than 5 min: 1. This strategy only works if we are in a bull market or a trending up market. - I think we are right now. - The stock market is led by strong tech companies. - The economy is it low employment and inflation is slowly coming down. - $SPDR S&P 500 ETF Trust(SPY)$ end of year targets are at $800 now with $900 by 2027 2. You will need $1000-$2000 to start the account. - Buy 1 or 2 contracts at a time but do not go in heavy. - You do not need to go in heavy this will only increase your chance of losing all your money. - The options are swing trades similar to my $Microsoft(MSFT

The bull market is now in Year 4 of a potential 20-year cycle. And the AI supercycle is only in Year 3 of a potential 15-year run. 🚀 That’s the bigger picture I’m focused on. While Michael Burry is shorting $NVIDIA(NVDA)$ $iShares Semiconductor ETF(SOXX)$ $Micron Technology(MU)$ $Palantir Technologies Inc.(PLTR)$, I’ve been adding back to several AI and infrastructure names during the recent weakness. 🐯 My July Adds $NVDA at $190 $MU at $740 $ $Lumentum(LITE)$ at $630 — missed the bottom, but still wanted exposure $SpaceX(SPCX)$ at $110

Three years ago, I explained why $Micron Technology(MU)$ could become a 10x opportunity from around $120. Today, I see one stock with a remarkably similar setup: $SpaceX(SPCX)$ . After finding a potential bottom near $108, $SPCX surged above $146, yet some analyst targets remain dramatically higher, with estimates reaching $800–$1,000+. That gap suggests the market may still be pricing the company primarily on what it is today rather than what it could become as its next phase of growth develops. The latest earnings report adds weight to the bullish thesis. In Q2 2026, revenue reached $7.81 billion, beating the $6.93 billion consensus estimate and surging 92% YoY from $4.1 billion. Net loss narrowed to $54

Not all AI infrastructure stocks are playing the same game. They may benefit from the same surge in AI compute demand, but their business models, assets and positioning are very different. $Oracle(ORCL)$ — The enterprise software and database giant is increasingly becoming a major AI cloud infrastructure player, renting out large amounts of compute capacity to support the explosive demand for AI workloads. $CoreWeave, Inc.(CRWV)$ — A more direct AI infrastructure play. CoreWeave operates as an AI cloud provider, renting Nvidia GPU capacity to AI labs and enterprises. Its investment case is closely tied to the continued growth of GPU-based computing demand. $IREN Ltd(