Here are the price levels I'm watching if the market keeps pulling back: 🎯 $IREN Ltd(IREN)$ — $25 (67.5% below its 52-week high) 🎯 $NEBIUS(NBIS)$ — $150 (50.0% below its 52-week high) 🎯 $ARM Holdings(ARM)$ — $200 (55.8% below its 52-week high) 🎯 $Alphabet(GOOGL)$ — $320 (21.7% below its 52-week high) 🎯 $Amazon.com(AMZN)$ — $245 (14.7% below its 52-week high) 🎯 $Broadcom(AVGO)$ — $315 (36.4% below its 52-week high) 🎯 $IONQ Inc.(IONQ)$ — $30 (59.3% below its 52-week high) 🎯

💰 Don't have a large trading bankroll? A prop firm could offer a way to learn and trade options with access to a funded account, subject to evaluation and risk rules. 🔥 Get 80% OFF Growth and Express accounts with code LUCKEEE. What stands out: ✅ No consistency rule on either plan ✅ No minimum trading days — pass an evaluation in one day ✅ No time limit to pass ✅ Same-day funded account after passing and activation ✅ Monthly evaluation fees stop once your funded account is activated ✅ Overnight positions allowed, subject to expiration and Live risk rules ✅ 80/20 profit split 📈 Express Plan — Buy Options Only Long calls and long puts only 10% profit target 5% intraday trailing drawdown No spreads or option selling 📊 Growth Plan — Level 5 Options Spreads, multi-leg strategies, and short opti

In February 2023, I said buy $NVIDIA(NVDA)$ at $18 before AI explosion. Then I called out: $Micron Technology(MU)$ at $80 → $1150 $AST SpaceMobile, Inc.(ASTS)$ at $2 → $130 $IONQ Inc.(IONQ)$ at $7 → $72 $Roundhill Memory ETF(DRAM)$ at $25 →$76 (safest play so far) Right now, these are still super cheap: $ServiceNow(NOW)$ at $95 $NEBIUS(NBIS)$ at $287 $Applied Optoelectronics(AAOI)$ at $162 $Broadcom(AVGO)$ at $41

16 years ago, $Tesla Motors(TSLA)$ IPO'd at $17. It returned 445x and transformed the car industry. Here's 5 robotics companies that will 100x-200x exactly like TSLA: 1. $Ouster Inc.(OUST)$ — Digital lidar + AI cameras giving robots 3D vision to see and navigate the physical world. Customers: Komatsu, FieldAI, AIM Intelligent Machines, warehouse/logistics operators. Special note: Only US-aligned, at-scale lidar+camera perception stack after acquiring Stereolabs (90K+ deployed ZED cameras), now the sole non-Chinese option in federal procurement. 2. $Aeva Technologies Inc.(AEVA)$ — FMCW 4D lidar-on-chip that measures instant velocity, not just distance, for real-ti

The biggest bottleneck of AI is memory right now. Memory stocks like $SanDisk Corp.(SNDK)$ spiked 4661% already. Here's the bottleneck company for robotics: First, this is the bottleneck: precision actuation (motors + gearboxes + integrated force/torque sensing) Not compute, not lidar, not even batteries it's the actuator/joint system. Here's why: 1. It's the single biggest cost and engineering line item. McKinsey breaks the humanoid hardware stack into five domains, and actuators alone account for 40–60% of the bill of materials more than double any other subsystem. 2. The supplier base is tiny and not built for volume. Fewer than 10 global suppliers can currently produce actuators with the precision required, and the humanoid supply chain is exp

99% of traders will never tell you where to sell. I will. This year, Kate turned $1000 into $215,000 in 1 month. I don't sell early to make 50%-100% when you can make 700%-2000%. Here's the 1 cheatcode to hold any stock longer: It all comes down to TRUST. You sell early because you don't trust the price action, your setup, or yourself. The market didn't force you out. Fear did. Every time you cut a winner short, you're telling yourself: "I don't believe this trade can reach my target." The best traders don't make more predictions. They trust their edge enough to let probabilities play out. Why traders don't trust their trades: 1. They never fully accepted the risk before entering. 2. Their position size is too large. 3. They don't have a written profit target. 4. They focus on every candle