DailyStockPick⚡

Here are a few great calls I've made so far: ✅ Trim at all time highs - cut your ETF's and buy them back even 1% or 2% lower ✅ Sell $AAPL at $280 and buy it back lower ✅ Sell $MSFT at $450 and buy it back lower ✅ Buy $AAOI at $84 ✅ Buy $SNDK $95 ✅ Trim $MU at $450 and buy it back under $400 ✅ Buy $LITE at $594 ✅ Buy $GLW at $50 ✅ Sell $META $700 and buy it back lower ✅ Buy $GOOG before it goes to $300 ✅ Sell 50% of your $NVDA position at $195 and buy it back lower after earnings There are many more examples of things and right now I'm predicting that many of these quality stocks that are in bear markets (20% off their highs) are buying opportunities. Catch today’s episode on Spotify & YouTube! Details in the link: dailystockpick.substack.com 🎧🚀

$VIX closed above 30 for the first time in over 10 months Historically, $SPX was higher 2 days & 3 months later in 9 of 10 cases

Investing cheat code: Buy quality companies off the 200-week EMA. 🍎 $AAPL

This week, Google Research published "TurboQuant algorithm" which creates a 6x improvement in memory utilization for AI. $MU stock tanks as a result. The speculation is that memory demand is dead! This is a comical take! Here's why: AI Chips and AI Algorithms in the past 5 years have improved 10,000 times! Yes, that 10-thousand, or 4 orders of magnitude. So did we shut down all the data centers we had 5 years ago because things got 10,000x more efficient? Of course not! In fact, more money will be spent on new data center projects in the next 5 years than ALL OF HISTORY, combined! Remember DeepSeek, the Chinese open-source algorithm that trained an LLM model for less than 1/10th the cost thought to be possible that came out last year? It showed techniques for 10x more efficiency in AI training algorithms, and quickly all the major AI companies incorporated DeepSeek's methods into their own algorithms...and yet, demand for AI chips didn't decline, it accelerated! As the cost and efficiency of technology gets better, demand doesn't go down, it actually INCREASES! This phenomenon is actually super common and widespread to all technologies. In fact, it's known as Jevons Paradox, named after the economist who first proposed it in 1865! Yes, more than 160 years ago! Poor Jevons didn't even know about Micron. Jevons Paradox occurs when increased technological efficiency reduces the cost of a resource, paradoxically leading to higher overall consumption rather than savings. So I look at $GOOGL's TurboQuant algorithm and I say AWESOME! Let's find 10x and 100x improvements in efficiency. If we do, it will be insane for Micron! Micron says its ENTIRE capacity for 2026 is sold-out! It projects to make ~$20 Billion in PROFITS in the next quarter alone. In the next 12 months, Micron will make more profits than its ENTIRE REVENUE last year! The sell-off of Micron due to [latest dumb reason of "peak cycle" or "TurboQuant makes 6x less demand" etc.] might be one of the dumbest things I have ever seen in the stock market. But what do I know!?

US technology stocks have rarely ever been this cheap: The S&P 500 Information Technology index is now trading at just a 4% forward P/E premium to the S&P 500, the lowest since January 2019. This percentage has fallen -32 points since October 2025, one of the largest discounts on record. In other words, tech stocks are the cheapest relative to the broader market in 7 years. By comparison, the technology sector was ~47% more expensive than the S&P 500 at the June 2024 peak. Tech stocks are now on track to become cheaper than the S&P 500 for the 1st time since 2017. Is it time to buy tech?

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Someone just DM’ed me this: The most wild thing I have seen. Lol! But seriously, hope Tiger is ok.

$MU Morgan Stanley's March 19th Report on Micron's Earnings "So we don't think 81% gross margin is the new normal, but it's also hard to see that getting worse in the next several quarters" "Our view is that looking for sell signals from prior cycles misses the point - this is not only likely to be durable as long as AI spending is maxed out, at this point based on our industry conversations we think that memory is one of the biggest gating factors on how much AI spending is possible." "So we don't think 81% gross margin is the new normal, but it's also hard to see that getting worse in the next several quarters - perhaps even through the next two years. Two years of earnings at an $80+ run rate certainly suggests higher through cycle earnings power even with the assumption of cyclicality thereafter - and the $150 bn or so of free cash generation that comes with that can be put to productive use. Chips act restrictions limit cash returns, so if another use of cash does not emerge, the company will de-lever and amass a substantial cash balance. We have long argued that matching cash flows with repurchases is suboptimal, as it means you are always buying high, so these restrictions might be positive." "HBM is part of that, but we think somewhat overstated. After all the handwringing over Micron's position in HBM4, it is clear from these results that HBM is a significant headwind to overall gross margins due to longer term customer commitments. We believe that Micron will have a solid position, but they actually have a leadership position in other important aspects of the AI supply chain including low power DRAM for racks - moving to the Socamm form factor." "Capital spending moves higher, which does not dilute our enthusiasm for the next two years, but if and when AI goes through a digestion cycle, the investment being made to support AI spending could become oversupply. That's always a part of our process - we do not ever consider peak earnings to be the through cycle estimate, and never assume that cycles are not part of the business. And to be clear, the capital investment is clearly going up - with guidance for FY26 net capex of $25bn implying half over half growth of ~70% to a quarterly level that probably goes up further into CY27. Management was precise about construction spending, expecting a $10bn in dollar growth in FY27 vs FY26, which should come in around the mid to high single digit billions. We now model FY27 net capex of $44bn, implying growth in tool spend of about 50% to $26bn, a figure close to matching total DRAM WFE in 2024 ($29bn)."

BREAKING 🚨: Microsoft $MSFT closes below its 200-week moving average for the first time in more than 13 years 📉📉 Dear God 😱

$PANW CEO just bought $10M worth of stock at ~$147 per share.

The Mag 7 from peak to now: • $AAPL: -13% • $NVDA: -16% • $GOOGL: -17% • $AMZN: -18% • $TSLA: -23% • $META: -25% • $MSFT: -33% The best opportunities rarely feel comfortable when they are right in front of you.

@realchartchamp @Shr00msy 😂😂😂

@Shr00msy @DailyStockPick3 he looks a lot like you (except when his hat flies off)

How i met my wife.

There are plenty of opportunities in this market. Is it the bottom? Probably not, but with September Futures predicting $80/barrel oil in September - it does seem like some stocks have fallen too much for long term investors. Plenty of Sidekick BUY ZONE areas are posted in this newsletter for $MU $AAPL $VCX $MSFT $ASTS $META and others. Curious how you’re handling this: Are you buying this dip in the big names, hiding in defensives like gold/energy, or just sitting in cash waiting for “more pain”? Catch today’s episode on Spotify & YouTube! Details in the link: dailystockpick.substack.com 🎧🚀

Did this trader just make the play of a lifetime? At ~2:45PM yesterday, someone bought 500 $META 550-strike puts for $7,500 total. These contracts were worth 0.15 ($15) each at the time, with only 2 days until expiration. With a steep 8% drop in $META today, these contracts are now worth a staggering 7.70 ($770) each, or a total value of $385,000. That's a 50x return overnight.

Joshua Meyers from $JPM pulling up some datapoints on $MU / $SNDK today. $GOOGL has been using it from 3.1 at least. It does not change anything for HBM.

tell them you'll get tired of winning now tell them tariffs will make things cheaper now tell them it's a transition period now threaten more tariffs now tell them its a great time to BUY now make a deal and cancel the tariffs now pump the market now start a war with Iran now tell them it'll be over in four weeks now tell them we've already won now tell them we haven't won enough now tell them the war is both complete & just beginning now tell them Iran is begging for peace now tell them Iran must make a deal or be destroyed

Some definitions: -5% = pullback -10% = healthy correction -15% = correction -20% = bear market -30% = collapse -40% = crash -50% = crisis A short history of stock market pullbacks: awealthofcommonsense.com/2026/03/a-shor…

$MU Micron Reportedly Expects Future Autonomous Cars to Require 300GB+ DRAM Micron CEO Sanjay Mehrotra said that as automakers introduce more geofenced Level 4 vehicles, memory BOM per vehicle could rise from about 16GB to over 300GB, driving robust long-term growth in automotive memory demand. Regarding robotics, Mehrotra added that robots may require a compute platform comparable to that of a high-end L4-capable vehicle, implying around 300GB of DRAM along with substantial solid-state storage.

We often see bottoms occur when less than 20% of S&P 500 stocks are above both their 20 and 50-day moving averages. @SmartReversals

Even a 300% move barely compares to prior runs What will it take to see one more $TSLA expansion?

Qullamaggie's 3 Timeless Setups Simplified Kristjan Qullamaggie has made tens of millions trading 3 simple setups. These setups occurred last year, 10 years ago, 50 years ago, and 100+ years ago. They occur over and over again. 1. Breakouts Big move higher in the past 1-3 months. Orderly pullback with higher lows. Range expansion out of that consolidation. How to trade it: Enter on opening range highs when the stock breaks out Stop at lows of the day (not wider than ATR/ADR) Sell 1/3 to 1/2 after 3-5 days, move stop to breakeven Trail the rest with 10-day or 20-day moving average In bullish markets, these can give you 10-20x+ your initial risk if you're good at setup selection. 2. Parabolic Short (or Long) Stocks are like rubber bands. When they get stretched short-term, they snap back hard. How to trade it: Stock up 50-100%+ in days/weeks (larger cap) or 300-1000%+ (smaller cap) Up 3-5+ days in a row Short on opening range lows or wait for first crack and fail at VWAP Target is 10-day and 20-day moving averages 5-10x risk/reward, but higher win rate than other setups 3. Episodic Pivot (EP) When unexpected good news hits a neglected stock, it can trigger multi-month or multi-year moves. Usually earnings or guidance that surprises the market. How to trade it: Big move (or gap up) in price 10%+ Big volume (preferably average daily volume traded in first 15-30 minutes) Big growth numbers with significant beat to analyst expectations Best if the stock hasn't rallied in the past 3-6 months Enter on opening range highs. Stop at lows of the day. Trail with 10-day or 20-day moving average. The Key All of these setups are about finding low-risk entries on fast-moving stocks. Tight, high-probability areas to enter. High risk/reward on trades. You can be profitable with just a 25-30% win rate if you have small losses and big winners. Qullamaggie built an Evernote database over 7-8 years tracking thousands of these setups. He went back decades on thousands of stocks to find recurring patterns. That's the work. That's what it takes.