$Moderna, Inc.(MRNA)$ just showed how explosive a successful cancer-vaccine catalyst can be. A $1,000 overnight options bet reportedly turned into more than $7.3M after Moderna announced a major Phase 3 win for its personalized cancer vaccine program. But here's the catch: This is an extremely high-risk game. Two cancer-vaccine Phase 3 programs have already failed in 2026, including $IOBT, which filed for Chapter 7 after missing its primary endpoint, and $IMMP, which discontinued its Phase 3 program for futility. So the next wave of catalysts could create massive winners — or wipe out years of work. Here are 5 biotech names with major clinical readouts ahead: 1. $CG Oncology Inc.(CGON)$ Oncolytic virus de

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

These 4 stocks are down 40%-60% from its highs. But, EPS keeps going up every quarter for each of them too. Here's the 4 most undervalued stocks in $SPDR S&P 500 ETF Trust(SPY)$ : 1st stock is: $Fair Isaac(FICO)$ its down almost 40% right now. It has never printed a loss quarter and eps keeps accelerating. Honestly, it shouldn't even be down this year. It actually makes no sense to me. $FICO -Fiscal Q3 revenue $674M, up 26%. -GAAP EPS $10.45, up 41%. Non GAAP $12.18, up 42%. -$370M of free cash flow in a single quarter. -Platform ARR up 62% to $413M, now bigger than legacy for the first time. -Repurchased $1.96B of stock in the quarter. Yes, its very expensive this stock. So here's 3 more that are chea

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