To The Moon

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

3 years ago, 5 trillion tokens were consumed per month. By 2030, $JPMorgan Chase(JPM)$ estimates 8 quadrillion tokens will be used per day so 49000x more. These 3 companies will benefit the most: 1. $NVIDIA(NVDA)$ Higher tokens/sec/GPU makes each GB300 more valuable per dollar spent better effective ROI for buyers, which reinforces continued capex cycles and pricing power. Also validates Nvidia's push toward system-level architecture (NVLink, rack-scale) since wideEP/disaggregation depends on high-bandwidth GPU-to-GPU interconnect, not just compute. 2. $Micron Technology(MU)$ / SK Hynix / $SanDisk Corp.(SNDK)$ (Memory suppl

No one is paying attention to $Netflix(NFLX)$ earnings on July 16. Last quarter, they suprised the market with a massive EPS beat by 60%. 5 reasons NFLX is turning around: 1. Ad-tech inflection Netflix is ramping its ad business through a new Omnicom partnership that fuses Acxiom audience data with Netflix's AI-powered ad formats, which is the kind of monetization lever bulls have been waiting on. 2. Cash machine, not a broken business revenue over the last year sits around $45.18B with an EBIT margin near 36% and profit margins above 28%, while free cash flow this quarter was about $5.09B. That's not a company in decline, it's a company being repriced. 3. Opportunistic capital allocation —Netflix is buying Los Angeles' Radford Studio Center for r

South Korea's stock market crashed -8.5% overnight. $SK Hynix, Inc.(HXSCF)$ and $Samsung Electronics Co., Ltd.(SSNLF)$ led the bleed, hit by an AI semiconductor selloff and Korea's hottest inflation print since Dec 2023. $UBS Group AG(UBS)$ says 60% of companies are now curbing AI spending, shifting to cheaper models including open-source Chinese options like DeepSeek and Qwen. This is a buying opportunity. Global AI compute demand isn't going anywhere. This is a shakeout, not a top. Best AI infrastructure plays, and how far each sits from its 52-week high: $Micron Technology(MU)$ -17.7%

With July historically delivering strong gains for U.S. equities, investors are turning to AI, semiconductors, cloud, robotics, and digital infrastructure leaders as potential beneficiaries of the next market advance. This watchlist highlights 20 stocks positioned to capitalize on improving sentiment and long-term AI-driven growth themes. 12 years in a row, July has closed 1%-2% up. $SPDR S&P 500 ETF Trust(SPY)$ will hit $760 then $820+ by year end. It's time to buy these stocks ON SALE: 1. $Microsoft(MSFT)$ → $480 — AI Foundry + Azure reacceleration once capex fears fade 2. $Meta Platforms, Inc.(META)$ → $720 — ad business funding the AI buildout, still 33% r

$Seagate Technology PLC(STX)$ — Q4 FY2026 Earnings Preview on JULY 28: Q4 FY2026 GUIDANCE: STX guided Q4 revenue of $3.45B ±$100M (midpoint implying ~41% YoY growth), non-GAAP opex of ~$295M, non-GAAP operating margin in the lower-40% range, and non-GAAP EPS of $5.00 ±$0.20, based on a ~16% tax rate and ~231M diluted shares. Consensus EPS estimate is $5.13 and consensus revenue estimate is $3.51B. Street is slightly above the midpoint of management's guide on both lines a mild setup for a beat. 8 KEY THINGS TO WATCH 1. Can they beat $3.45B revenue and guide even higher for FQ1 2027? Management raised its medium and long-term revenue growth outlook to at least 20% annually and indicated nearline capacity is almost fully allocated through 2027. The r

$SK Hynix, Inc.(HXSCL)$ will trade on NASDAQ on July 10, 2026: MAKE SURE TO HOLD $Micron Technology(MU)$ $Western Digital(WDC)$ $Roundhill Memory ETF(DRAM)$ $SanDisk Corp.(SNDK)$ before July 9. A super explosion will happen that week for memory explained: 4 reasons this could be a major week: 1. Passive ETF inflows. Once SK hynix lists, index funds and ETFs tracking US semiconductor benchmarks may be forced to buy shares, creating fresh institutional demand. 2. More investor attention. A US listing gives global investors easier access to the memory sector, increasing visibility fo

Every trader must go through these 6 stages: Stage 1 — The Discoverer What this stage is You're excited about the markets and constantly learning. Every chart, indicator, and strategy looks like the answer. You're building knowledge, but you haven't developed consistency. Traits Curious and highly motivated Consumes endless trading content No proven edge yet Easily discouraged after losses How to Master This Stage Learn price action before indicators. Master support, resistance, and risk management. Focus on ONE setup instead of ten. Journal every trade and every lesson. Be patient—the goal is education, not profits. Stage 2 — The Experimenter What this stage is You begin testing strategies with real money or paper trading. Results are inconsistent because you're still searching for your e