To The Moon

📉 Stocks sitting at 52-week lows $Trade Desk Inc.(TTD)$ $12.60$DraftKings Inc.(DKNG)$ $22.02$Papa John's(PZZA)$ $19.55$Campbell Soup(CPB)$ $19.37$Li Auto(LI)$ $11.50$Simply Good Foods Company(SMPL)$ $9.60$Beyond Meat, Inc.(BYND)$ $8.35$Sunrun(RUN)$ $8.11$Weibo(WB)$ $6.49$Fermi Inc.(FRMI)$ $4.52 Out of this list, $DKNG is the one I’m watching for a potential reversal. Here’s

I called $Micron Technology(MU)$ to $1,100 when it was still trading in the $900s. I first posted the target on Sep 3 ahead of earnings, then repeated it on Sep 4, Sep 9, Sep 15 and Sep 17. On Sep 25, MU printed $1,108.72 — five days before earnings. 🔥 +$159.28 per share 🔥 +16.8% from my original call 🎯 $1,100 TARGET: NAILED Now the options tape is pointing to the next levels: • 200 Oct 2 $1,100 calls → $510K premium • 9,048 OI at the $1,100 strike • ~$2.93M across long-dated $1,200 calls • ~$6.18M in visible opening $1,000-call activity across Oct/Nov The $1,100 target is done. Now the question is how far the positioning can push the next leg. 👀 Markets are always moving - and sometimes, the best move is knowing what works for you. With Treasury y

The 10Y just hit 5.23%, its highest level since June 2007. The immediate reaction is obvious: 📉 Higher yields 📉 Higher discount rates 📉 “ $SPDR S&P 500 ETF Trust(SPY)$ crash incoming” But history tells a more nuanced story. Since 1953, the 10Y has broken above 5% nine times. Over the following 12 months: 📊 Average $SPY return: +2% 📊 Normal 12-month return: +9% 🔻 4 of 9 periods were negative 📉 Average worst drawdown: -10% That's not a comfortable setup. But it also doesn't automatically equal a crash. The bigger question is why yields are rising. 🔥 1️⃣ AI earnings boom Hyperscalers are spending hundreds of billions on AI infrastructure. If that spending continues translating into real earnings growth, stocks don't need multiple expansion alone t

$Microsoft(MSFT)$ went from $2 → $18 on this trade. Here’s the setup I was watching 👇 Last night, $MSFT dropped to around $490, right into a major support level. Then came the first clue: 📈 Price bounced straight back toward $500. But the real signal came in the premarket. Instead of breaking below $490, $MSFT held the level. That tells you buyers were still defending the downside — and potentially positioning for a move higher at the open. 🎯 The setup: Major support → sharp bounce → premarket holds → buyers confirm → opening breakout This is the kind of structure that can precede a big green candle when the market opens. Don't chase the candle. Watch the level first. If support holds and premarket refuses to break down, the risk/reward can change

🚨 AI’s Next Bottleneck Is Bigger Than Chips $Taiwan Semiconductor Manufacturing(TSM)$ just delivered record Q2 profit, raised 2026 capex to $60–$64B, and committed another $100B to U.S. chip production. CEO C.C. Wei says conviction in the multi-year AI megatrend remains very high. But here’s the bigger picture: 🧠 AI infrastructure is becoming a full-stack buildout. The bottleneck is no longer just silicon. 🔹 $Broadcom(AVGO)$ — Custom Silicon Hyperscalers are building chips optimized for their own workloads. Broadcom sits at the intersection of custom accelerators and the networking that connects them. 🔹 $Arista Networks(ANET)$ — Networking Thousands of processor

🚨 $Nike(NKE)$ Is Down 80% From Its All-Time High. The Setup Is Getting Interesting. $179.10 → $35.75 That’s an 80% drawdown — and a return to the former high would represent roughly +401% from current levels. But the bigger story is what could change the setup from here. 📅 Oct. 1 | Earnings after the close 💰 EPS estimate: $0.44 vs. $0.20 last quarter → +120% sequentially 📈 Nike has also delivered 4 consecutive EPS beats, with surprises of: +81.8% +20.7% +43.2% +81.5% 📉 Meanwhile, monthly RSI is sitting near 27, pointing to deeply oversold conditions. That creates an interesting combination: Low expectations + improving EPS momentum + deeply oversold price + a near-term catalyst. The key question now is whether earnings can finally give $NKE the fun

This is why I pay attention to levels before the close, not after it. Earlier, with $SPDR S&P 500 ETF Trust(SPY)$ at $767.39, the gamma map had three levels on watch: $769 → Call Wall$766 → Put Wall$765 → Pin Magnet The setup was pretty straightforward: Above $766 → expect price to stay relatively contained and chop into the close. Lose $766 → $765 becomes the next level to watch. No need to predict every candle. Just know where the structure changes. And then $SPY closed at: $767.18 🎯 Almost exactly inside the range the gamma structure had suggested could contain price. That’s the part I find useful about @GEXEdgeIO. It isn't about predicting the next candle. It's about having the important levels before price gets there. You can then use tho

We caught both sides of the $S&P 500(.SPX)$ move today. 📉 At the open: We took the 771 puts and captured 400%+ as the market moved lower. 📈 At the bottom: Instead of staying stubbornly bearish, we flipped bullish with bull puts and calls as the levels shifted. ✅ 400%+ on the puts ✅ Caught the reversal ✅ $18,150 realized on $SPX 🎯 No stubborn bias. We followed the levels, adjusted when the setup changed, and traded both sides of the move. The market doesn’t care about your bias. Price action does. Markets are always moving - and sometimes, the best move is knowing what works for you. With Treasury yields, oil prices and rate expectations keeping markets on edge this week, investors are once again thinking carefully about where to position next.

18 years ago, in 2008, Elon Musk stood up at a Hollywood party and started talking about rockets. Nobody seemed interested. People interrupted him. Some questioned the point of what he was doing. At the time, it was easy to dismiss. 🚀 But the timing was brutal. $SpaceX(SPCX)$ had already suffered three failed launches. $Tesla Motors(TSLA)$ was also running dangerously short of cash. Musk had put much of his own money into both companies. By his own later accounts, he was running out of options and borrowing money from friends to cover basic expenses. This wasn't a polished success story yet. There was no proven rocket business. No profitable EV giant. No guarantee either company would survive. Just a foun

$Micron Technology(MU)$ just broke out of its daily chart — and this time, the move has confirmation. 🚀 The setup is getting interesting for several reasons: 🧠 1️⃣ Memory is becoming a key AI bottleneck AI infrastructure isn't only about GPUs. As compute demand keeps expanding, high-performance memory is becoming an increasingly important constraint. That puts $MU in an interesting position as memory demand continues to tighten. 💰 2️⃣ The valuation still stands out $MU is trading at roughly 7x P/E, which looks remarkably low compared with some of the high-growth names across the AI trade. For a company benefiting from a tightening memory cycle, that valuation leaves plenty of room for the market to reassess expectations if earnings continue to acce