Entry criteria. I get SO many questions about the best support, moving average, trendline, or area to enter a position at. First things first tho...the obsession with the "perfect entry" or entries in general is a net negative. There's never a perfect entry...and if you think yours is, then you're bound to get emotional/egotistical about it. My philosophy is: exposure to leaders > perfect entry Here's part of my response to a message I got: "i’m trying to harp on this point about entries because I think most people overcomplicate them. Everyone is worried about finding the perfect entry at support, on an EMA, or at some exact line on the chart. But in a bullish/trending environment, it’s more about progressively building exposure to leaders + the best companies. If you miss the "perfect
$NVDA vs $AVGO & $GOOGL: Why AI ASICs Are Challenging the GPU Empire
$NVIDIA(NVDA)$ GPU vs $Broadcom(AVGO)$$Alphabet(GOOGL)$ AI ASICs GPUs handle many AI workloads and are flexible, which is why they are loved by AI start-ups. However, they contain parts that AI models do not use, making them highly expensive and inefficient when used in certain ways. ASICs are better at these very specific use cases, as they are designed with those use cases in mind. Like running a specific type of AI model extremely fast and energy-efficient. Essentially, $AVGO $GOOGL TPUs are cheaper than $NVDA GPUs at doing exactly what $GOOGL needs to do. However, the drawback is that $GOOGL can't easily move these chips to do other tasks. Whilst $NVDA GPUs
$MELI Could Replicate Amazon's Advertising Success Story
$MercadoLibre(MELI)$ e-com platform was used by 121M buyers in 2025. From 2020 to 2025, advertising revenue grew more than tenfold to $1.55B. However, that's still only 2% of all that customers spend on the platform, $MELI collects as ad revenue from merchants. There is a massive opportunity to grow advertising revenues as $MELI: 1) Gains new active buyers 2) Releases new advertising products 3) Increases prices of existing advertising 4) Increases conversions with AI Investors need to understand that eyeballs are one of the most valuable assets in the world. 👪 But not all eyeballs are created equal as advertisers seek buyers who are the most likely to purchase the exact product they are selling. In advertising, these are called high-intent custom
For 50+ years, the memory industry was viewed as a brutal, cyclical commodity market. Companies in this space were prone to extreme boom-and-bust cycles, where periods of high profitability were quickly followed by devastating oversupply and price collapses. However, the rise of AI has fundamentally changed this dynamic. $Micron Technology(MU)$ is transitioning from a cyclical commodity manufacturer into a structural enabler of AI. Last quarter, the company grew revenues by an insane 196% and net income by 770%, reaching a net margin of 58%! These types of results are unheard of for an industrial company of such scale and remind us of the stratospheric growth of Nvidia in 2024. In this Micron Deep Dive, I will examine what is driving the growth and
AI's Next Winners? $SPCX, $CORZ and $BE Continue to Break Higher
The AI investment story is expanding beyond chips. From SpaceX's rapidly growing compute business to Core Scientific's AI data center infrastructure and Bloom Energy's power solutions, investors are increasingly targeting the companies enabling the next phase of AI deployment. 1. $SpaceX(SPCX)$ vs $Tradr 2X Long SpaceX Daily ETF(SPCM)$ SpaceX $SPCX will hit $401 by the end of 2027, says Arete Research 🚨 That would be a gain of 152% from current prices ✅ For magnified exposure, consider the Tradr 2X Long SpaceX Daily ETF $SPCM 2. $Core Scientific, Inc.(CORZ)$ vs $Tradr 2X Long CORZ Daily ETF(COZX)$ Core Scientific $CORZ h
Momentum Reversal? $AMC, $NFLX, $LULU and $SPCX Flash Warning Signs
Market leadership is shifting as several high-profile names show signs of weakness. From $AMC still sitting nearly 100% below its peak to $NFLX lagging the Nasdaq, $LULU hitting multi-year lows, and $SPCX shedding hundreds of billions in valuation, investors are reassessing some of the market's biggest narratives. 1. $AMC Entertainment(AMC)$ AMC Entertainment just hit its highest price since October 🚨 Shares are now only down 99.6% from the all-time high 🥳 Congrats to $AMC shareholders 2. $Netflix(NFLX)$ Netflix $NFLX underperforming the Nasdaq 100 $Invesco QQQ(QQQ)$ by the largest margin since 2023 📉📉 3. $Lululemon Athletica(
$PENG, $ONDS, $OUST: Are These the Next Conviction Trades?
The thing about trading (and life) is the best opportunities usually just fall in your lap. Your only job is to take them, with conviction. Reality is that 90%+ the "effort" of researching, hunting for ideas, and straining to get rich is wasted. Doesn't pan out. It's bizarre. But year after year a handful of "no brainer" trades just emerge out of nowhere...catch even just one, and it typically can make up over half of my profits for the entire year. Know that there will be certain window every year where a life-altering opportunity emerges. Maybe that's: - $Intel(INTC)$ ~$20 when gov't took a stake - $Micron Technology(MU)$ over $500 when memory was heating up - $Victo
Technical Alert: $LMT, $MCD, $SNDK, and $MSFT Hit Key Inflection Points
Several high-profile stocks are flashing rare technical signals that could shape their next major move. From $LMT's new Death Cross and $SNDK's record-breaking RSI reading to $MCD and $MSFT testing historically attractive long-term support levels, these setups highlight a market increasingly driven by extremes rather than consensus. 1. $Lockheed Martin(LMT)$ Lockheed Martin $LMT forms a Death Cross ☠️ for the first time since January 2025 🚨 The last one sent share price tumbling 13% over the next 4 weeks 📉📉 2. $McDonald's(MCD)$ McDonald's $MCD has fallen just below its 200-week moving average 🚨 This has historically been a great time to buy 👀 3. $SanDisk Corp.(SNDK)$</