extremely high competitive bar. 🟢 $VST -5.3% — BUY: AI data centers are increasing electricity demand, and Vistra owns generation assets capable of monetizing that structural trend. 🔴 $SNDK -4.9% — SELL: NAND remains highly cyclical, making the risk/reward less compelling than memory and compute names with more direct AI exposure. 🟢 $CEG -4.9% — BUY: A nearly 5% pullback doesn’t change the long-term thesis that reliable nuclear generation is becoming increasingly valuable to hyperscalers. 🟢 $MU -4.8% — BUY: AI accelerators need huge amounts of high-bandwidth memory, making Micron one of the clearest second-order beneficiaries of AI compute growth. 🟢 $AVGO -4.4% — BUY: Custom AI accelerators and networking give Broadcom multiple ways to participate in hyperscaler AI spending. 🟢 $AMD -3.9% — BUY: AMD has an opportunity to capture a meaningful share of a rapidly expanding AI accelerator market even without overtaking NVIDIA. 🟢 $NVDA -2.9% — BUY: A 3% decline doesn’t change NVIDIA’s leadership in AI GPUs, networking and the CUDA software ecosystem. 🎯 WHAT TODAY REALLY TOLD US Money rotated — it didn’t disappear. 📉 AI chips sold off. 📉 AI power stocks reversed. 📈 Refiners surged. 📈 Consumer defensives rallied. And there is an interesting contradiction: $NVDA, $AMD, $MU, $CEG and $VST fell today — but the fundamental AI demand story didn’t suddenly disappear in one trading session. That’s why some of today’s biggest losers may be more interesting than today’s biggest winners. MY FAVORITES ON THE PULLBACK: $NVDA, $AVGO, $MU, $CEG and $ORCL. $SPY $QQQ $NVDA $AVGO $MU $CEG $ORCL $MPC $VLO #Stocks #AI #Semiconductors #Energy #Investing These are thesis-based opinions, not live Tickeron AI signals.