To The Moon

## Netflix at $69: Mispriced Opportunity or Growth Ceiling in Disguise? ### A Deep Dive into the Post-Earnings Wreckage Netflix (NFLX.US) closed at $68.95 on July 17, down 7.3% on the day and roughly 50% from its highs over the past year. The stock is trading at a 52-week low, and the community is sharply divided. Having pulled the latest structured financials and analyst commentary, here's my attempt at an evidence-based answer to the question everyone is asking: **dip buy or value trap?** --- ### The Numbers: What Q2 2026 Actually Said Let's start with the hard data from the most recent quarter (reported July 16, 2026): | Metric | Q2 2026 | Q1 2026 | Q4 2025 | Q3 2025 | Q2 2025 | |---|---|---|---|---|---| | Revenue | $12.56B | $12.25B | $12.05B | $11.51B | $11.08B | | Revenue YoY | +13.4

$NVIDIA(NVDA)$ taking a 9.3% stake in $NEBIUS(NBIS)$ provides immense strategic validation for its AI cloud infrastructure. However, while the 18.8% spike reflects institutional momentum, concurrent insider selling by the Chairman (~$1.4M) signals potential short-term profit-taking. Combined with 30-day implied volatility (IV) sitting near 173% ahead of July 29 earnings, chasing equity at current highs carries post-earnings volatility crush (a sharp drop in option values after an uncertainty-clearing event) risk. IF YOU ALREADY OWN THE SHARES Investors holding 100 or more shares can sell covered calls (selling the right for someone else to buy your shares at a set target price to collect income upfront).

$Micron Technology(MU)$ lost $350B in market cap in a week, then made half of it back in two days $Micron Technology(MU)$ is right outside of 1000, up almost 200 pts after a violent backtest of 800. Through 1000 and $Micron Technology(MU)$ can quickly retest ATHs, through ATHs and it'll gravitate towards 1500. 845 and 800 absolutely need to hold, otherwise $Micron Technology(MU)$ can see a flush towards 650 Key Catalysts Memory price shock: Morgan Stanley now sees Q3 memory prices rising 25% from Q2 on AI-driven shortages, the single biggest driver of the recent ral

Hello everyone! Today i want to share some ai trading ideas with you! 1 Kimi K3 is too large to run efficiently on a single accelerator so the workload must be distributed across many chips that exchange data at extremely high speeds. $Credo Technology Group Holding Ltd(CRDO)$ and $Astera Labs, Inc.(ALAB)$ benefit from the high speed connectivity inside AI clusters while $Marvell Technology(MRVL)$ and $Broadcom(AVGO)$ provide the networking, optical and custom silicon infrastructure required to scale them. Thats why inference constraints are bullish for the

Hello everyone! Today i want to share some ai trading ideas with you! 1 $Frequency Electronics(FEIM)$ is nearly back at highs after the space / high beta sell off. Reminder: Set to hit $150M in revenue by FY29 which means it's growing ~32% CAGR over the next 3 years. Whilst trading at 8x sales vs a company like $Rocket Lab USA, Inc.(RKLB)$ at 32x sales. Again, not making the claim that $Frequency Electronics(FEIM)$ should trade in line with $Rocket Lab USA, Inc.(RKLB)$ but for similar growth forecasts, I'm not sure the difference should in multiple for be fo

Strong momentum names often attract traders looking for amplified exposure. Below is a watchlist of the 18 strongest 1-month relative strength stocks along with available leveraged long and inverse ETF products. The goal is not to blindly chase performance, but to understand where momentum is concentrated and which instruments traders are using to express bullish or bearish views. 📌 How to read this list These names represent areas where market strength has been concentrated recently: AI infrastructure & semiconductors: $NVIDIA(NVDA)$ $Broadcom(AVGO)$ $Lumentum(LITE)$ $IREN Ltd(IREN)$ AI software & enterprise pla