The AI infrastructure trade is taking a beating. From neocloud providers and data center operators to Bitcoin miners pivoting toward AI compute, drawdowns have reached 50%–86% from highs across much of the sector. 🔻 Down More Than 70% $Soluna Holdings, Inc.(SLNH)$ : -85.99%$BOOST RUN INC(BRUN)$ : -77.02%$Bit Digital, Inc.(BTBT)$ : -76.26%$Bitzero Holdings Inc.(AIBZ)$ : -73.76%$WhiteFiber, Inc.(WYFI)$ : -72.84%$Bitdeer Technologies Group(BTDR)$ : -70.58%$Digi Power X Inc.(DGXX)$ : -70.54% 📉 Down

Instead of just posting a chart and telling you what I like, I’m going to walk you through my process for finding and managing a potential trade. 1️⃣ Start with sector strength I head to Finviz and create a watchlist of major ETFs, then bring them into the screener and filter by relative strength over the week, month, or quarter. Right now, energy and software stand out. Software looks like the cleaner setup. 2️⃣ Narrow it down to the strongest stocks Clear the filters, go to the Themes section, select software, add any other filters you prefer, and sort by monthly performance. Take the top 10 names and switch to the Charts tab. Look for stocks holding near their highs without being overly extended, or names forming a flag with a clear risk/reward setup. 3️⃣ Find the best setup, then check

First, WHY I use trailing stops. Scenario 1: You hold through weeks of chop. The stock finally breaks out, you sell to lock in gains… and it rips another 50% over the next month. Scenario 2: You build a great thesis, do the research, and enter. The stock turns against you, but you hesitate because “it can still work.” A month later, you’re down 25%. The common point of failure? The sell button. I used to sell too early on the way up and wait too long to get out on the way down. Both were frustrating. Trailing stops helped me take the emotion out of that decision. In my view, they’re one of the most underutilized tools in trading. Here’s my approach 👇 1️⃣ Calculate the stock’s ATR% ATR, or Average True Range, measures typical price movement. I use the 14-day ATR divided by the current share

A perfect setup on an individual ticker means very little if the broader environment isn’t cooperating. Before increasing exposure, I run through 5 things: 1️⃣ Index strength Did $SPDR S&P 500 ETF Trust(SPY)$ and/or $Invesco QQQ(QQQ)$ put in a strong weekly close? 2️⃣ Macro catalysts What events, economic data, or holidays could affect liquidity and volatility? 3️⃣ Market breadth What are $RSP and the percentage of stocks above their 50-day SMA telling us? 4️⃣ Leadership + speculation Are market leaders acting well? Is speculative appetite holding up in $BTC and growth stocks? 5️⃣ Headwinds What are the 10-year yield, oil, VIX, and the news flow doing? 📍 My read from Sunday night’s review: $SPY had a st

It takes years to realize that trading less can make you more money. In the beginning, you feel like you always need to be doing something. You hunt for setups that aren’t there. You open positions because you’re bored. You chase stocks simply because they’re moving. Eventually, you learn the truth: Most opportunities aren’t worth taking. Most trades are unnecessary. Your job isn’t to catch every move. It’s to wait for the fat pitch—the setup where the odds, risk/reward, and conviction all line up. And when it comes, have the discipline to size up appropriately. The hardest part? Doing nothing while other stocks run without you. Resisting the urge to trade just because you feel like you’re missing out. But you don’t need to catch every move. You need to catch the right ones. The money isn’

With some major earnings coming up over the next few weeks, here’s how I approach earnings season. 1️⃣ Watch the overall tape first. If $SPDR S&P 500 ETF Trust(SPY)$ is weak, stocks often struggle to rally on earnings—even when the numbers are outstanding. The market environment matters. 2️⃣ Be careful when a stock has already run. If a name is up 10% or more in the roughly 10 days before earnings, I get more cautious. A lot of good news may already be priced in. 3️⃣ Watch the reaction, not just the numbers. One of my favorite signals? Bad news comes out, but the stock refuses to drop. That relative strength can hint at a move higher. 4️⃣ Remember that news follows price. The narrative often changes after a big move. Price moves first; explanat

Something notable is happening beneath the surface. The equal-weight S&P 500 ETF $Invesco S&P 500 Equal Weight ETF(RSP)$ was RED for 7 consecutive weeks while the cap-weighted $SPDR S&P 500 ETF Trust(SPY)$ kept pushing to all-time highs. That divergence was worth watching. Index strength was masking weakness across the broader market. This week, the picture changed. $RSP is outperforming $SPY for the first time in almost TWO months. One week doesn’t confirm a trend, but it could be the first sign that market participation is starting to broaden. The timing is interesting, too. We’re seeing early signs of rotation and breadth expansion in the first full week of Q4. If more stocks begin participat

This market is psychologically tough. You see the indexes printing all-time highs, yet many individual stocks are struggling, chopping around or simply failing to participate. Don't get discouraged. This is an extremely difficult market, even for experienced traders. Some of the best traders I know are getting put through the wringer right now. But there's another way to look at the lack of participation. The glass-half-full view? The market may not have experienced its broadest phase of upside yet. 📈 Three Potential Bullish Takeaways 1️⃣ There could be more upside fuel than people realize. If the indexes are already at all-time highs despite narrow participation, improving breadth could provide another leg higher. 2️⃣ The next major opportunity could be breadth expansion. The biggest oppo

Getting a “you up?” text at 11 PM on a Saturday is VERY different from getting the exact same text at 11 AM on a Tuesday. 😂 Same message. Completely different context. Markets work the same way. The exact same chart setup can produce very different outcomes depending on the environment around it. Narrative, risk appetite, macro conditions, positioning and catalysts all matter. The chart may look identical on the surface, but the context can change the entire trade. Developing an eye for that context can make a huge difference to your P&L. 🧭 What I'm Watching Right Now 10-year yields — pushing toward multi-year highs Oil $WTI Crude Oil - main 2611(CLmain)$ — staying firm Bitcoin — showing strong momentum Elections — adding another potential

The bond market and equity market are sending very different signals right now. The 10-year Treasury yield just pushed to a fresh 24-year high, reaching around 5.36%, while $SPDR S&P 500 ETF Trust(SPY)$ is simultaneously making new all-time highs. That kind of divergence is pretty rare in modern markets. So which market blinks first? Either bonds are about to reverse, or equities are showing an absurd amount of underlying strength. Maybe both. The really interesting setup comes next: If yields start rolling over without growth slowing or breaking, the equity rally could accelerate very quickly into year-end. 🚀 For now, I’m watching the relationship between $SPY and the 10-year yield very closely. The divergence itself may be the signal. 👀 Marke

We need more conversation around how to actually hold stocks longer. Everyone wants a 100% mover — until it’s time to actually hold one for 100%. If you’re constantly selling the moment you see some green because the money starts burning a hole in your pocket, try a simple framework: “Half off for the heat, stop at breakeven.” When my brain starts screaming “SELL,” I take roughly 50% off the position. Then I move the stop on the remaining half to breakeven or use a trailing stop. That remaining position becomes the core. I can trade around it, add when the setup improves, or simply let it breathe. The goal isn’t to perfectly time the exit. It’s to give your best ideas enough room to become big winners. Buying is easy. Holding is hard. Find a framework that fits your personality and your ps

As AI server power density keeps rising, the power infrastructure stack is becoming an increasingly important part of the AI buildout. Here’s the supply chain to watch: 🔹 Microcontroller Units$Texas Instruments(TXN)$ $NXP Semiconductors NV(NXPI)$ $Infrax Systems Inc.(IFXY)$ $STMicroelectronics NV(STM)$ 🔹 Battery Management Systems$Analog Devices(ADI)$ $Texas Instruments(TXN)$ $NXP Semiconductors NV(NXPI)$ $Infineon Technologies AG(IFNNF)$

$Micron Technology(MU)$ bought back just $650M of stock in FY2026. The reason? CHIPS Act restrictions limited larger buybacks for two years. That restriction expires on December 9. After that, Micron enters a very different capital-return setup: 💰 $73.5B in cash + long-term investments 💳 Just $5.2B of debt 🔥 Massive free cash flow generation 📈 Management has stated a goal of returning 100% of excess cash to shareholders Micron’s CFO also said the company expects to increase capital returns after December 9 and plans to seek additional buyback authorization. That could become a major catalyst for $MU. If earnings and FCF remain anywhere near the current trajectory, the combination of AI-driven memory demand + pricing power + buybacks could dramatical

Brazilian stocks surged after Flávio Bolsonaro led President Lula da Silva in the first round, triggering a broad rally across Brazil-linked names. The runoff is set for October 25. The biggest movers: 🚀 $XP Inc.(XP)$ +33.42% 🔥 $Picpay Holdings Netherlands B.V.(PICS)$ +26.51% 🔥 $StoneCo(STNE)$ +24.35% 🔥 $Inter & Co Inc(INTR)$ +23.40% 🔥 $Pagseguro Digital Ltd.(PAGS)$ +22.62% 📈 $Bank Bradesco SA(BBD)$ +19.71% 📈 $AGI(AGBK)$ +19.23% 📈 $Sabesp(SBS)$ +1