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Shorting a Vulnerable Market
One of the most profitable beliefs about the stock market that I’ve adopted is that there exists a distinction between the real world company and the common shares of that company. I like to think of these two, distinct entities as being tethered, sometimes loosely, and sometimes strongly together. At times when the tether between the company and its traded shares is too loose, the price of the shares can travel very far away from the actual value of the company. I think we are approaching a point in time when the tether between the shares and the company is stretched to the max on the upside. A snapback of price down to true value is quickly coming. One of the more prominent metrics that most traders will be familiar with is the Schiller PE which has only been higher than the current level of 40x for several months in the year 2000 before the .com crash. It would be improper speculation to simply take this as a reason by itself to be bearish on the market. Proper speculation requires one to dig deeper and to look for a reason why the market would be vulnerable now. I think that reason is that passive investing is about to see a big slowdown in inflows. As tech companies work AI into their workflows, they are seeing just how many employees they need to keep the same level of output. Big corporations have been, for months now, burning through compute tokens as they let their employees run unconstrained with AI to see how much they can produce. The employees that can produce the most output, document it, and present it to management get to keep their jobs. This has been going on since this Spring. As CFOs get back from the lazy days of summer, they will be planning their budgets for next year. The inflation that has caused all of us to figure out how to do the same with less is now biting corporations as well. The belt tightening always hits them last because they have so much money that they can resist the inflation for longer than individuals. It’s these employees that are getting let go that will cause a slowdown in inflows to passive ETFs in retirement accounts; no more job, no more contributions every paycheck. Mike Green has been publicly vocal for 6 years now that passive investing has an outsized influence on the price of the index as it plows money indiscriminately into the largest market cap companies. This is exactly why SpaceX needed to get a huge valuation on a tiny sliver of shares that are allowed to be traded and why the rules are being changed to allow these shares to be included in a large index like the S&P 500 far quicker than has customarily been allowed. Wall Street needs these shares to get inclusion so the price will be supported. We’ve gotten to the point in this cycle where professionals on Wall Street are gaming the system right out in the open for all to see. Signals like this indicate we are very close to the end of the up cycle in asset prices. Another cycle that seems to be coming to an end is the credit cycle. Michael Howell has been making the podcast rounds lately telling us that the 65 month credit cycle is due to peak imminently. I’ve attempted to read his book, Capital Wars, but it’s far too complex in it’s entirety for me to fully grasp. All I need to know is that when excess reserves in the banking system fall below a certain dollar amount at the end of the credit cycle, we get a liquidity crisis, and asset prices fall. We know we are nearing the end of the credit cycle because the first warnings that private credit was in trouble came when Tricolor defaulted. Private credit funds have been gating their products for months now. The combination of a slowing passive inflow and an ending credit cycle leave the market vulnerable. We saw the first hint of that this week with the FOMC decision to hold and the response in the market was a hard sell to the lows of the week. We’ve got expanding new 52 week lows as the market has been stuck in a range for 2.5 months. My bet is that this range resolves to the downside. I think the market is vulnerable, and I see a low risk opportunity to short in a good, low risk location, with the added benefit of a potential autumn crash whose signs I’ve been watching for several weeks now. Here’s my trade plan for shorting the SPY. I’ve left plenty of room for a logical stop for the usual coordinated market intervention by the Fed and BOJ that could spike the SPY up to $750. That gives about 2.5% of risk at current prices around $740, but the reward is two times that risk if the SPY can get down anywhere near the 200dma on a good sell move down. That’s my plan on the large portion of a short position, but I do want to see if this $760 is the real top, so I’d like to keep a small short on unless and until $757 is breached on the upside. That’s not a great risk to reward if my profit target is $700 so I’ll keep that portion of the position to maximum 1/3rd (in other words, only $33 of every $100 bet would have the higher $757 stop). There are more indications that this range could resolve to the downside like heavy volume on the last good sell move and weak volume on the subsequent rally to here. There are also increasingly more frequent volume increases on red days lately. All these elements combine to give me enough evidence to hypothesize that shares are moving to weak hands. The odd part about being short the market is that my
Continue Reading -->The Next AI Chip King?
What a week! Microsoft (MSFT) and Amazon (AMZN) dropped beautiful earnings reports. Kevin Warsh delivered a short and sweet FOMC statement. And hedge fund Situational Awareness choke on leveraged AI stock bets before a rescue by Ken Griffin’s Citadel. Now let’s drill down for the most interesting things happening in markets now. We go over what’s been an awesome earnings season, a candidate for the next AI chip King, and 2 semiconductor stocks that appear to on the edge of greatness… or failureEarnings Season Has Been Awesome27% of S&P 500 companies have reported, according to FactSet.And the numbers are pretty dang amazing.86% of companies reported positive EPS surprises. And 80% beat revenue forecasts.The strongest numbers are coming from the financials, tech, and energy. And utilities are lagging.Q2 EPS growth is tracking at 37.9%, the highest growth rate since Q3 2021, which had the benefit of an easy year-over-year comp from the pandemic:That 37.9% number was boosted by a $98 billion one-time gain by Alphabet (GOOGL). Excluding that, earnings growth is still tracking at 25.9%, which is still spectactular. Plus that 25.9% was calculated before this week’s beats by Microsoft (MSFT), Amazon (AMZN), Apple (AAPL), Seagate (STX), Lam Research (LRCX) and Monolithic Power (MPWR). And odds are we’ll see positive earnings surprises from Palantir (PLTR), AMD (AMD), SanDisk (SNDK), and Western Digital (WDC) next week.Interestingly, the data shows that the market is not reacting well to reports. This goes for companies that beat AND companies that miss. So Microsoft and Amazon’s booms this week were exceptions to the rule!We May Have a New AI Semiconductor KingI’ve heard of the company Monolithic Power (MPWR), but never paid any attention to it. Until I saw its earnings report on Thursday, July 30. MPWR reported $980.6 million in sales, 9% above consensus. EPS was 11% above estimates. And revenue guidance for next quarter was 17% above expectations, which reminds me of SanDisk since it came public again last year, and Nvidia in 2023. Look at how fast analyst estimates are rising:Again, just like prior boom periods for SanDisk and Nvidia. And what does Monolithic Power do? It designs and develops power management solutions that go into everything from AI GPUs and TPUs to batteries to robots. And it’s seeing booming demand for AI data center and server applications. With a $72 billion market cap, this isn’t exactly a top-secret micro cap, but there’s surprisingly little discussion about it. So put Monolithic Power stock on the radar. It could be the next SanDisk, and it’s at the top of my personal watchlist. Related: check out JR Romero’s Greatest Hits: SanDisk Edition.The Nvidia Value Trap Debate ContinuesLast week, I suggested Nvidia might be a value trap at 21X forward earnings. Well, now it’s trading at 20X forward earnings, even with Microsoft (MSFT) and Amazon (AMZN) showing huge cloud and AI growth.This is Nvidia’s cheapest valuation in decades. The problem remains the same. Nvidia is so well-known that it’s hard to deliver a major positive surprise. And major AI infrastructure tech buyers like Alphabet and Amazon have made major strides in developing chips in house. Which means more competition for Nvidia’s high-priced GPUs. Plus from a basic market mechanics perspective, attention and money has shifted to the memory/storage names, which are posting much bigger earnings beats and upside guidance. Sure those stocks are more volatile, but that’s where the momentum money goes when the market is in a good mood,SK Hynix Is in for a FightKorean memory superpower SK Hynix (SKHY) made a huge splash when it listed in the US on Friday, July 10. The $26.5 billion deal priced at $149 per share, and the stock hit $194.80 on July 14, its 3rd day of trading. On July 29, it hit a low of $124.80 after an Earnings Miss. It’s since rebounded to $149+. But now the fight begins. 2026’s other two big IPOs have been messes. SpaceX (SPCX), which also made a high on its third day of trading, is down over 60% from its peak. (FYI: SpaceX delivers its first earnings report on Tuesday, August 4 after the close) Cerebras Systems (CBRS) made itsarecord high on its May 14 IPO day, and has since dropped about 50%. And aside from sagging sentiment towards these mega-issues, traders are concerned about Chinese memory giant CMXT disrupting the likes of SK Hynix, Micron, and Samsung.Traders Are… Bearish?The AAII Sentiment Survey shows that the topsy-turvey downside action in tech stocks may be impacting the mood. Just 31% of surveyed investors are bullish, which is the second straight week of below-average bullishness.So it looks like the crowd is leaning bearish. The tricky thing with sentiment data is that it’s lagging, and AAII tends to bounce around from week-to-week. However, if we get another below-average reading next week, that could signify real negativity. Meanwhile, CNN’s Fear & Greed Index is at 38/100, signifying modest Fear.
Continue Reading -->24 AI Stocks Explained in Plain English
Updated July 29, 2026 using data from Koyfin. This is an educational overview, not a big list of stocks to buy right now. Always do your own research or talk to a financial advisor before buying anything. People talk about AI stocks all the time, and the media’s obsessed. So it’s easy to want to start buying these wild stocks, even if you don’t know what they actually do. That’s why we’re breaking down 24 key AI stocks in plain English. Take your time reading this. There’s a lot of ground to cover since the AI supply chain is absurdly complex. Building and running applications like ChatGPT, Claude, Gemini, and Grok takes a massive supply chain: chips, cloud computing, software, networking, cooling, and of course, electricity. That’s why everything from GPU makers to memory producers to nuclear power companies gets lumped into the “AI stocks” category. Below are 24 companies across that entire chain, grouped by what they actually do, explained without the jargon (or at least minimizing it). We’ve also included some helpful stats for each one like the current stock price, market cap, recent performance, distance from its 52-week high, the average Wall Street price target, and short interest. These numbers were last updated on July 29, 2026, so keep that in mind. 🧠 Part 1: The Chipmakers (the “brains” of AI) These companies make the physical processors that train and run AI models. Without them, there’s no AI boom. 1. Nvidia (NVDA) Nvidia is pretty much THE flagship AI name. This Mag 7 name makes the GPUs (graphics processing units) that have become the industry standard for training and running AI models like ChatGPT. Originally built to power graphics in high-powered gaming PCs, these chips turned out to be awesome at AI math. Nvidia is the single most important hardware company in the AI world right now, and most of the biggest AI buildouts run on its chips. 📊 Stock Price: $194.13 | Market Cap: $4.70T | 1-Mo performance: -0.4% | YTD Performance: +4.2% | Below 52-Wk High: -17.9% | Analyst Target: $302.83 (+56% implied return) | Short Interest: 1.3% 2. Advanced Micro Devices (AMD) AMD is Nvidia’s main rival in AI chips, just as it is in PC GPUs. AMD makes its own line of AI accelerators (called Instinct) and has landed major deals, including a huge multi-year agreement to supply GPUs to Meta (META). AMD isn’t likely to dethrone Nvidia anytime soon, but it gives big tech companies a second supplier so they’re not fully dependent on one vendor. 📊 Stock Price: $444.05 | Market Cap: $724.1B | 1-Mo performance: -17.7% | YTD Performance: +107.3% | Below 52-Wk High: -24.1% | Analyst Target: $575.49 (+30% implied return) | Short Interest: 2.6% 3. Broadcom (AVGO) Broadcom doesn’t sell off-the-shelf chips. It’s best known for making Google’s TPU processors, and also co-designs custom AI chips for other customers like Meta, and OpenAI. This lets those companies get chips tailor-made for their own AI workloads instead of using general-purpose GPUs. Broadcom’s AI chip and networking business has grown explosively, and management has talked about reaching $100 billion in annual AI-related revenue. 📊 Stock Price: $380.02 | Market Cap: $1.81T | 1-Mo performance: +2.0% | YTD Performance: +10.2% | Below 52-Wk High: -23.2% | Analyst Target: $527.00 (+39% implied return) | Short Interest: 1.5% 4. Taiwan Semiconductor Manufacturing Company (TSM) TSMC doesn’t design chips. It manufactures them for everyone else, including Nvidia, AMD, Apple, and Broadcom. If you own an AI chip, there’s a good chance TSMC physically made it. That makes TSMC one of the most important, and most geographically concentrated, companies in the entire AI supply chain, since nearly all of its advanced manufacturing happens in Taiwan. However, TSMC is looking to make inroads in the US. 📊 Stock Price: $385.75 | Market Cap: $1.79T | 1-Mo performance: -15.2% | YTD Performance: +27.5% | Below 52-Wk High: -19.5% | Analyst Target: N/A | Short Interest: N/A 5. ASML Holding (ASML) ASML makes the extraordinarily complex (and pricey!) machines that TSMC and other chipmakers need to actually print circuits onto silicon (called EUV lithography). Nobody else on Earth makes machines capable of this at scale, which gives ASML a near-monopoly on the equipment behind the most advanced chips. News reports indicate China is entering the same market, but is way behind ASML in terms of technology. 📊 Stock Price: $1,583.21 | Market Cap: $607.5B | 1-Mo performance: -15.8% | YTD Performance: +48.6% | Below 52-Wk High: -20.8% | Analyst Target: N/A | Short Interest: N/A 6. Micron Technology (MU) Micron makes memory chips (DRAM and, increasingly, high-bandwidth memory or “HBM”) that sit right next to AI processors and feed them data fast enough to keep up. Demand for its newest memory has been so strong that Micron has reportedly sold out its 2026 HBM supply through long-term contracts. Memory used to be thought of as a boring, cyclical business, like potatoes or soybeans. Now it’s a high-growth piece of the AI puzzle. And the debate is raging over whether AI has turned memory into a secular growth sector. 📊 Stock Price: $772.02 | Market Cap: $871.9B | 1-Mo performance: -32.6% | YTD Performance: +170.6% | Below 52-Wk High: -38.5% | Analyst Target: $1,507.38 (+95% implied return) | Short Interest: 2.8% 7. Marvell Technology (MRVL) Like Broadcom, Marvell designs custom AI chips for big cloud companies (its biggest customer is reportedly Amazon) and makes chips that help data move between AI processors. It’s grown fast and joined the S&P 500 in 2026, but it also trades at a very high valuation relative to its earnings, meaning investors are pricing in a lot of future growth. 📊 Stock Price: $171.02 | Market Cap: $149.8B | 1-Mo performance: -38.4% | YTD Performance: +101.5% | Below 52-Wk High: -48.2% | Analyst Target: $256.91 (+50% implied return) | Short Interest: 3.9% 💾 Part 2: The Storage Makers (where all this AI data actually lives) Training and running AI takes a ridiculous amount
Continue Reading -->The 2 Ugliest Charts in the World
What a week! Alphabet (GOOGL) failed on earnings and there’s no peace in the Middle East. So let’s go over: The 2 ugliest charts in the world Why it’s hard to be an AI hyperscaler right now Why Nvidia may be a value trap Where sentiment sits Let’s go. Ugliest Chart in the World #1 SpaceX (SPCX) was hot for 4 days. Now it’s been cut in half. We identified $150 as an obvious line in the sand. And SpaceX just cut through it like a knife through butter: And let’s give credit to Sami Abusaad! He got short at $154.89 and has been riding it down the whole way. So why is this stock getting dumped? Because the more the stock drops, the more attention is paid to the danger on the horizon (insider lockup expirations). That’s created a race to the exits. Meanwhile, Wall Street banks (many of whom earned paid big fat IPO underwriting fees from SpaceX) love the stock. According to Koyfin, the average analyst target price is $236.71: So they think SpaceX will double. Do you? Now let’s talk about its twin… Ugliest Chart in the World #2 This is Oracle (ORCL) over the past year. Oracle has a major problem. It’s a hyperscaler with potential credit problems. While other AI stocks like Microsoft has heaps of recurring revenue and free cash flow to reinvest in capital expenditures, Oracle does not. Just so you understand the difference in scale here, Microsoft generated almost $73 billion in free cash flow over the past 12 months. Oracle (ORCL) had NEGATIVE free cash flow of almost $24 billion. So it has to borrow tons of debt to power its AI dreams. Maybe too much. It’s Hard Out Here for a Hyperscaler The AI market remains split between “haves” and “have nots.” The AI hyperscalers are most certainly have-nots in 2026, given these performance numbers: Alphabet (GOOGL): +2.8% Amazon (AMZN): +2.3% Meta (META): -7.9% Microsoft (MSFT): -19% Oracle (ORCL): -36% Meanwhile, the VanEck Semiconductor ETF (SMH) is up a whopping 61%. This makes sense because the hyperscaler buildout is a wholesale transfer of cash flow to the likes of Nvidia (NVDA), AMD (AMD), ASML (ASML), Micron (MU), SanDisk (SNDK), etc. Think of it this way. Google sucks up money selling ads. Then that money goes straight to hardware and chips from the likes of Nvidia, AMD, Micron, Dell, etc. Which flows down to networking gear, semiconductor equipment, etc. At some point the trend reverses, but for now – hardware looks like easy money. Especially when we have Alphabet raising its capex forecast. And Meta, Microsoft, and Amazon might do the same when they report earnings this week. Is Nvidia a Value Trap? Many traders and investors are zeroing in on Nvidia’s (NVDA) valuation. The stock is now trading at 21x forward earnings, which looks cheap for the flagship AI chip name: But I wonder if Nvidia is a value trap. As in, it looks cheap but goes nowhere. I see Nvidia’s biggest challenge as a lack of sex appeal relative to other places within the AI landscape. Right now, the market is excited about the memory and storage names, because that’s where the biggest supply-demand imbalance is. On Thursday’s earnings call, Intel (INTC) CEO Lip-Bu Tan said “…memory has become the big supply constraint challenge.” Yes, Nvidia is most likely still supply-constrained. Just not at the level of a Micron (MU) or SanDisk (SNDK). But we’ll know for sure this coming week. If we see Meta, Microsoft, and Amazon signal higher capex spending and Nvidia does nothing, then maybe the thrill really is gone. We’ll see. In the meantime, I recommend watching this interview with Cerebras (CBRS) CEO Andrew Feldman, who shares some interesting points about the AI chip universe. He discusses why Nvidia’s CUDA platform may be losing its competitive moat, though you should obviously take that with a massive grain of salt: Investors Are Bearish… for Now The AAII Sentiment Survey shows that just 29.6% of investors are bullish. This is well below the 37.5% long-term average. And it’s a massive decline from last week’s 44.9% reading (above average bullishness). So are investors bearish? Kind of. These sentiment surveys have been topsy-turvy all year, so we never get any sustained bullishness or bearishness. That reduces the predictive power of these numbers, which wasn’t all that great to begin with (outside of real extremes). Meanwhile, the CNN Fear & Greed Index is at 41, which is slightly fearful. Add it up and it looks like investors are far from euphoric. But they’re not down in the dumps either.
Continue Reading -->The First Step to a Crash
I’m naturally inclined to be bearish. I have been since my formative years in the market during the 2008 GFC. There are only two, maybe three times in a career where it pays to be bearish. This may be one of them. Last week I detailed the steps to a possible stock market crash this October. We just got the first step in that sequence: an initial break in the Dow Jones Industrial Average from the summer rally trend. The reason for this break is that something appears to be going wrong in the Iran situation. The US 10y yield is approaching 20 year highs, crude oil is abundant yet going higher in price, and gold, the best barometer for global base money, is sinking. As more global money gets burned up securing crude oil, there is less available to roll over the massive amount of debt that’s been built up since 2020. If central banks don’t start printing, base money doesn’t grow, and asset prices fall as there is no money to bid higher for financial assets. An exchange with Senator Kennedy and Secretary Hegseth this week should give the market a reason to sell more as it prices in a deteriorating situation in Iran. Senator Kennedy, usually with an unperturbed and jovial demeanor, seems flustered to a degree I’ve never seen him before. He thinks the situation is getting serious, and that “we are down to it”. I’ll bet he just received a briefing telling him the supply chain breakdown we’ve been hearing about since March is coming soon unless we commit ground troops to go into Pickaxe Mountain, destroy centrifuges, and end the conflict. With the House passing a resolution to limit Trump’s ability to escalate further, I think the market has more downside in the near future to price in a possible worst case scenario of a supply chain breakdown if the US doesn’t send in ground troops. This is a situation with no good outcome, and it’s starting to resemble Britain’s Suez crisis. I’ve been in about 70% cash since March, and now I wish my cash position was even bigger. I’ve got about 15% in gold miners and 7.5% in energy, shipping, and fertilizer stocks. Right now, I wish I’d bought more of the “conflict” stocks such as $XOM, $NTR, and $DAC earlier this year, and I wish I’d sold more of the gold miners in March. My portfolio seems to be in the same situation as the US in Iran: no good outcome in sight. I’m too long and too short at the same time. I can’t sell what I’ve got that is going down, and I can’t buy more of what I’ve got that is going up. The only way out of this situation for me is to either get shorter or get longer. There’s no way I’m getting longer with a market setup this bad fundamentally, so I’m sticking to my plan I detailed last week of waiting for a confirmation of a bear market with a failure of the $DJIA to get back above this initial break level of $51,850 if bulls attempt a rally back in the next couple weeks, then, and only then, shorting the $SPY and/ or $QQQ. It’s not just the US in Iran that is worrying the market. The Yen keeps getting weaker with a clean break above $160. The Bank of Japan won’t tolerate too weak of a Yen for much longer. An emergency rate hike by the BOJ would weaken the dollar, and that would slow the capital inflows into the USA that have been flowing into financial markets. The stock market needs foreign capital inflows to sustain these lofty valuations. Stock valuations are too high to find any meaningful support from value investors, and passive investors won’t help the situation if concern about lower prices causes them to stop retirement inflows. There are dozens of reasons to be bearish, but the market simply has not cared about any of them as long as excess liquidity was finding it’s way into stocks. The SpaceX IPO was very large and took up a lot of balance sheet capacity (i.e. liquidity) that is now needed to support stock prices. It’s been my view that the professionals on Wall Street had the resolve to forge together a market for two more big IPOs: Anthropic and OpenAI, and that would signal an intermediate top in the market. Scrapping those IPO’s would be an even more bearish indicator that the pros on the Street don’t want to even try because they see a bear market ahead. Bear markets are extremely difficult to navigate because they require you to constantly think negatively, to think about what can go wrong. This goes against our human nature to always improve, to think about what can go right. I’m far more introverted than the average trader (an extreme INTP on Jung’s psychological type, and a Type Five on the enneagram), and as a result, I’ve spent more time analyzing my own mental activity than the average trader. I’ve come to understand how being so bearish since the QE era began in 2012 cost me so much. It was really just a pessimistic world view that made me see only the reasons the markets should go down. Around March of 2020, I began to understand the benefits of shifting my mindset to a more productive, positive, and optimistic one. I began to see clearly that it wasn’t pessimists that got rich trading in the markets. The bearish arguments seemed so smart, so correct, but they just didn’t matter. Other guys were getting rich by being bullish, and I was stuck in a negative mental state with more desire for wealth than talent in attaining it. For me, finding success in the markets was a choice. It was a choice to do the work to be bullish on something. That happened to be gold, and that choice changed my trajectory in a big
Continue Reading -->How This Stock Market Will Top
“There is nothing new in Wall Street. There can’t be because speculation is as old as the hills. Whatever happens in the stock market to-day has happened before and will happen again.” -Edwin Lefèvre, Reminiscences of a Stock Operator. The term “speculator” has been used derogatorily ever since the 1929 stock market crash. Ben Graham spent an entire chapter in Security Analysis attempting to delineate the differences between investing and speculating. I’ve read that chapter dozens of times over the years in hopes that repetition will bring clarity as to what exactly is the distinction between the two. All these years later I still can’t believe in a real distinction between speculation and investing, and I don’t think he believed it himself. From what I understand, Ben Graham ran a proto-hedge fund, lost all his investors’ money “investing” according to his method, got a job as a professor teaching others how to do what he couldn’t do for himself, and then spent decades winning back his investors’ lost money. That’s a lot of effort and a lot of years for a scratch trade. If that’s what happened to the genitor of common stock “investing” as we know it today, then for my money, speculation seems like a better approach… Nowadays it’s almost verboten to refer to your market participation as “speculation.” This wasn’t always the case. It certainly wasn’t the case in the late 1920’s. I like to surf old New York Times archives from the financial section to get a feel for the zeitgeist from earlier periods in the market. What’s most stunning to a contemporary reader is the brutal honesty with which reporters delivered the financial news. Everyone back then accepted that stock markets were for speculation. There was no need to explain price movement with a fundamental narrative. It was all insiders creating pools and bidding up stocks, or hammering them down. Today we would call that “insider trading.” While it’s tempting to think so much has changed in the stock market between then and now, I don’t think our markets are very different from markets in the late 1920’s. That’s because human nature never changes. The quote from Lefèvre stands true: whatever happens in the stock market today has happened before and will happen again. Deep in the annals of stock market history lie the clues to discern what we are going through in the present. Market quotations, in their essence, are the manifestation of thoughts in the minds of men. To study their recorded thoughts from the past is the closest we can come to gaining their experience, and experience is the most powerful tool we have in attempting to win in the markets. We can stamp either label we’d like on the activity, whether it’s investing or speculation, but the approach is the same: figure out what has worked in the past, and apply it to the present. This is the way we win in the markets. As for me, I think it’s all speculation, so we better aim to do it well. Proper investing is merely one element of speculation. You’ve got to have some understanding of basic fundamental conditions to speculate well. It’s my view that we are in the contraction phase of the business cycle, and that this autumn we will see a window of opportunity for the market to sell. All the conditions are in place: a stock market that requires a lot to go right to justify a 20 PE, a new technology that created a mania and parabolic charts like memory chip stocks, an opaque securitization scheme with leverage in private credit, the largest stocks shifting their capitalization tables from buybacks to debt issuance for AI capex, and now the biggest IPOs in history adding tons of shares on the market. If you were looking for a recipe to make a top in the stock market, you couldn’t ask for better ingredients. To understand how to speculate in this market properly, I study the past. The charts of previous market tops show us the subtle clues that revealed the shifting probabilities favoring price declines rather than further increases after a long bull run. Below are two famous crashes we can scour for portents that inside the minds of men, fear was beginning to replace greed, stocks were being distributed from strong hands to weak hands, and the natural proclivity for stock prices was to retreat. The 1929 and 1987 tops display a certain uniformity in price structure that we can capture and build into a “top template” for memorization and pattern recognition as we move into the window for a crash this autumn of 2026. While all tops have their own unique characteristics, there are two broad categories of tops I’ve identified from historical studies: autumn tops and spring tops. 1929 and 1987 are autumn tops, and 2000 and 2008 are spring tops. Since we are past the spring window, and the 2026 market most resembles the autumn tops, I’m focusing on those. The autumn tops both share these basic elements in common: a summer time rally, an extension of price far above the 200 day moving average, an initial break, a failure to surpass the initial break price level, and an autumn crash. Here are annotations of the basic elements on the historical charts of the Dow Jones Industrial Average:. 1929: 1987: Now here’s an annotation on the current 2026 $DJIA and what I’d expect to happen if this market follows the autumn top template. 2026: After this summer rally, I’m looking for an initial break sometime in late August or early September, coinciding with back-to-school time when no one besides professional traders will be paying attention to the markets. Everyone will be busy getting back to work and CFO’s will be creating budgets for the next year. This is the earliest an initial break would occur. The initial break, if it comes, would be our first warning that the market is at risk of following
Continue Reading -->The 5 Horsemen of the AI-pocalypse
What a week! We may have peace in the Middle East, SapceX is fighting for its life, and we have a new AI powerhouse trading in the US: Meet the 5th Horseman, SK Hynix I called these stocks the 4 Horsemen of the AI-pocalypse: SanDisk (SNDK) Micron (MU) Western Digital (WDC) Seagate (STX) AI has created unprecedented demand for storage and memory to the point that they comprise 4 of the 5 best S&P 500 stocks this year: And now we may have a new horseman in the form of South Korean memory giant SK Hynix (SKHY), which had a blockbuster US market debut Friday. The $26.5 billion deal priced at $149 per share, and the stock was trading around $169 as of 2:33 pm ET. Pretty solid first day. And CEO Kwak Noh-jung is telling the right story. He told Reuters “We forecast that next year will be the worst year in the industry’s history from the supply perspective.” And he added that demand will exceed supply beyond 2030. Nothing drives momentum like a massive supply-demand imbalance. So I’m making SK Hynix a probationary “5th Horseman of the AI-pocalypse.” Get David Prince’s take on SK Hynix here: Meanwhile, another high-profile IPO is fighting its own battle: SpaceX Fights for $150 We all know the bear case for SpaceX (SPCX). IPO lockup expirations will flood the market with shares. The valuation is outrageous. The Nasdaq 100 addition didn’t help the stock. At the same time, it is stubbornly holding the $150 area: That looks like a major psychological line in the sand. And maybe this situation is as simple as a hard break above or below this level will dictate the next big move. For more on SpaceX, check out this video: And since we’re on the topic of IPOs and AI… Bank Earnings Should Be HUGE This Year This coming week, we get earnings from the big banks like JP Morgan (JPM), Goldman Sachs (GS), Bank of America (BAC), and Morgan Stanley (MS). And now that I think about it, maybe the banks are a stealth AI play. Especially the capital markets focused names like Goldman and Morgan Stanley, which are up nicely in 2026: Aside from the massive SpaceX IPO and the prospective OpenAI and Anthropic deals, there’s been a ton of capital markets activity related to AI, like: Alphabet (GOOGL) raising $85 billion in equity Oracle (ORCL) raising $40 billion to help fund its AI buildout Super Micro (SMCI) raising $7 billion to buy components to fill new $39 billion in AI server orders According to Crunchbase, global venture funding hit $510 billion in the first half of 2026. That compares to $440 billion for all of last year. Crunchbase also said that this is the strongest exit market since 2021. All this capital markets activity should mean fat fees for Wall Street banks. Earnings Season Is About to Go BOOM Q1 earnings season was huge, thanks to massive beats in tech, particularly in the semiconductor industry. As noted above, this coming week, Q2 results kick off with the likes of JP Morgan (JPM), Netflix (NFLX), and ASML (ASML). I’d argue ASML is the biggest report of the week since it sells into the AI/Semi giants like Samsung, AMD (AMD), SK Hynix (SKHY), Micron (MU), Intel (INTC), and Taiwan Semi (TSM). Note: Taiwan Semi also reports next week. There’s a whole lotta optimism out there. FactSet data shows that 111 S&P 500 companies issued guidance. 57% issued positive guidance, well above the long-term average of 41%. This is the highest percentage of companies issuing positive guidance since Q3 2021. And tech guidance is at a record high. Analysts are also pumped. They are now estimating 23.3% growth, up from 18.8% on March 31. And looking forward, Q3 growth is forecast at 26.8%, and Q4 is 24.1%. This is bad. Because the bar is very high. Plus, if results come in as expected or better, we are going to be facing some tough year-over-year comparisons next year. But even as companies and analysts are positive, investors and traders show no signs of joy: Sentiment Remains Neutral The AAII Sentiment Survey shows that 36.3% of investors are bullish. This keeps sentiment in neutral territory. And while we’ve had a few positive or negative readings here and there, there hasn’t been a true extreme reading (in either direction) since early 2025. Meanwhile, the CNN Fear & Greed Index is at 47, smack in the middle at neutral. On balance, this is all bullish because it shows little euphoria on the part of market participants.
Continue Reading -->Big IPOs Are Big Business on Wall Street
I’ll never forget the lessons I learned about Wall Street during the Facebook IPO in May of 2012. I was the newest guy on the desk at a prop trading firm, and it was the summer of the PIIGS Euro debacle and Draghi’s “Whatever it takes” speech. It was a chaotic backdrop for the most anticipated IPO in decades. The FB offering was huge in terms of shares, and one trader on the desk had an allotment of shares in his personal account. The offering price was $38, and in the premarket, it couldn’t hold above $43. The guy with FB shares was an amazing trader with superb instincts. He sold his shares at the open because he didn’t like the way the stock was acting. The stock had a brief spurt higher, then sank the rest of the morning. By mid afternoon, it was approaching the IPO price. We all saw how weak it was. We watched in amazement that there wasn’t any demand to keep the price above the initial offer figure of $38. As the price slowly approached the offering price, more and more volume came on the offer. Massive quantities of shares were being dumped in the most overhyped IPO since the .com era. It seemed to take forever for the price to get down to $38. Penny by penny it sank listlessly. We all knew it was going to break below the figure, and then, out of seemingly nowhere, infinite sized bidding came in at $38. Every single share that was offered was met with an inert floor of demand at $38. Price never went one penny below the initial offer that first day of trading. That was the underwriting syndicate bidding in infinite size for the stock. This is the lesson I learned that day: Wall Street will not allow itself to look bad to the public. By sheer force of will, the money will be found to support shares that need to be supported to keep a proper image in the investing public’s eyes. This is the way in which Wall Street professionals operate. A retail trader like myself can only watch in admiration at the way they handle their business. I’ve never forgotten that day, and I’m reminded of it now as we move beyond the SpaceX IPO and into the IPOs of OpenAI and Anthropic. I still hold the view that we are in the contraction phase of the economic cycle, but I don’t think the market has a window to move down significantly until after August, and likely not until after the November midterms. Those dates are far into the future, and not our concern for the present. For the moment, Wall Street has at least two more big IPOs to work through, and I am supremely confident that the professionals on the street will make the IPOs a success no matter what. So while I am growing increasingly bearish as we move into the second half of the year, I am still aware of the realities of the business of markets, and it’s bad for business when stock prices go down. I’m still in mostly cash, but you can’t make money if you don’t have a position so I’m looking for some positions that I can work into. I’ve analyzed all my trades for the 1st half of the year, and it’s amazing that March was my only down month considering how disappointing some of my entries and exits have been so far this year. The only reason I’m still in good shape this year is because I stick to a discipline. I intend to keep sticking to what has worked for me so far. My discipline is to only buy two types of setups: technical breakouts in good price structures when the $SPY is above its 8 and 21 day moving averages, and large positions in stocks that I like fundamentally. The breakout trades are tactical, and as such, I keep a constant risk size in those, without letting any position get bigger than about 7.5% of the total account. These trades produce positive cash flow on average and keep me involved in the game to feel how things are developing. These are generally less than a 3 month average holding period. My position trades are different. Those are where the vast majority of my gains come from, can make up 90% of my account, and are generally a 9-18 month average holding period. Since we are not yet in a period where the $SPY is trending nicely above a rising 8 and 21 day moving average, I’m focusing less on breakout trades and more on working slowly into some stocks I think could weather the coming storm later this year. I only feel comfortable holding large positions in stocks that I can analyze as having some compelling value. There’s several stocks I like in this regard. I’ve already shared the pipeline companies I like because their asset base is irreplaceable and should hold value through a downturn, then soar if and when the Fed is forced into yield curve control and inflation breaks out in the years ahead. In keeping with the hard asset theme like pipelines, I’m also looking for companies that own assets and trade around book value. If the assets on their books are priced properly, they should have limited downside in the deflationary event that is my current base case. Here are some stocks I’m stalking to find a small, low risk entry now with a plan to build a much larger position over time if these initial buys don’t get stopped out: $RYN trades at 1.2x book value, and it yields about 5%. But it is tied to housing which I’m not bullish on until rates come down so I’m in no rush to take offers on this one. I’ll place small bids below the market once rates on the 10 year treasury find a good top. $NTR trades at 1.4x
Continue Reading -->How Meta Can Hit $1,000
We’re cruising into the July 4 holiday so let’s take a look at the 5 things you need to know right now. How Meta Can Hit $1,000+ On Thursday, Bloomberg reported that Meta (META) is planning a cloud infrastructure business called “Meta Compute” to sell excess compute capacity for AI and other applications. If this is real, it would put Meta in competition with the likes of Amazon (AMZN), Microsoft (MSFT), and Alphabet (GOOGL). You could argue this a million different ways. The bears will say Meta should not have excess compute capacity, and it’s entering battle with aggressive competitors. Or maybe this gives Meta the potential for a higher valuation because it’s hitching a more direct ride to the growth of AI. But I ask myself, couldn’t Meta make way more money by just selling ads to AI companies? This seems like the easy money instead of rolling the dice with hundreds of billions in AI infrastructure investments. Yes, Meta should use AI for things like improving ad targeting and speeding up code development. Everybody knows that. But it seems far smarter to be the cash register counting up all the ad dollars from OpenAI, Anthropic, etc. Call me crazy. But if Meta backs off from its wildly aggressive AI spending plans, I think it’s going straight to $1,000. Because earnings estimates will go through the roof. The problem is that this could take years. I mean, how long did it take before they realized the Metaverse sucked? Techflation Is Here In 1965, Intel (INTC) co-founder Gordon Moore observed that the number of transistors in a chip would double about every two years, with the price dropping by half. That was declared “Moore’s Law.” It’s something of an outdated concept for technical reasons. For example, transistors can only get so small. But what if AI, to some degree, has given us Moore’s Law, only upside down? Prices for SSDs, DRAM, CPUs, and even old-school spinning hard drives are going up. This SanDisk (SNDK) SSD drive cost T3 Live $150 in January 2023: Today, it’s going for $280+ on Amazon: News reports indicate that Intel is raising prices for desktop CPUs. These are not super-powered AI chips. But it looks like we have an upward pull on everything related to computers, smartphones, and tablets. If people are paying higher prices for SSD drives, why not everything else too? Recently, Microsoft (MSFT) announced higher prices for its Xbox video-game consoles. It expects storage and memory prices to double by the fall of 2027. And Apple (AAPL) jacked up prices on Macbooks and iPads. Welcome to techflation. Did Warsh and the Jobs Report Shift FOMC Expectations? The Nonfarm Payrolls report was slightly light today. And yesterday Fed Chairman Kevin Warsh said inflaation risk are declining. So have FOMC rate hike expectations shifted lower? Nope. The CME’s FedWatch tool shows that markets are pricing in a 79% chance of higher rates by year-end. This compares to 83.1% yesterday and 80.8% a week ago. So nothing’s changed on that front. And the expectation of higher rates is boosting this name: Robinhood Rockets! Sami Abusaad has been super bullish on Robinhood (HOOD). And it’s been on a tear: One reason is the expectation of higher interest rates. Higher rates means bigger profits on margin loans. And margin loans have been at record levels. Plus, based on Interactive Brokers’ (IBKR) June 2026 numbers, we can assume Robinhood is seeing heavy trading volumes. And if the crypto market can turn the corner, that would give Robinhood even more rocket fuel. Crypto revenue has been a sore spot for Robinhood, so if that reverses, it could be off to the races at an even faster pace. FYI: IBKR is one of my biggest positions. Wait. Are Investors and Traders Bearish? The AAII Sentiment Survey shows that investors flipped back to bearish this week. Just 31.4% of investors are bullish on stocks for the next 6 months, a substantial drop from last week’s 44.9%. This is the sixth bearish reading in the last seven weeks. It seems like folks are still worried about the economy, the direction of the FOMC, and the sustainability of the AI/semi boom. Meanwhile, CNN’s Fear & Greed Index is at just 31, indicating moderate fear. Plus, the CBOE’s equity put-call ratio is at 0.69, which is in the neighborhood of neutral. No sentiment indicator can help you nail the market every time. But rampant euphoria often coincides with market tops. And we are nowhere near that.
Continue Reading -->Micron Put Apple to the Test
What a week! Micron (MU) dropped a blockbuster earnings, report, Apple (AAPL) raised prices, and oil came crashing down. Let’s talk about what’s going on in this fun-filled market: This Really Is the 90’s Era All Over Again It’s been hard out there for the AI hyperscalers like Meta (META), Alphabet (GOOGL), and Microsoft (MSFT), who are spending ungodly amounts of cash on hardware like memory, storage, and networking equipment. That means they are transferring their cash flow to companies like SanDisk (SNDK), Intel (INTC), Western Digital (WDC), and this week’s earnings superstar Micron (MU). So it’s no shocker that the 2026 S&P 500 leaderboard looks like this: Virtually all of these companies cashed in by selling picks and shovels in the 1990’s Internet boom. Now it’s rinse and repeat with AI. Instead of Pets.com and Ask Jeeves and American Online, the end application is Claude or ChatGPT! Just look at Micron’s monster earnings report on Wednesday. They beat revenue expectations by 16%. SanDisk beat by 26% in its last quarter. These picks and shovels (DRAM, flash memory, and even freaking old-school hard drives) are getting so expensive that Apple (AAPL) just raised prices on MacBooks and iPads. And that means… Apple Is Being Put to the Test Apple has an affluent user base that is willing to pay premium prices for a superior user experience. And this MacBook/iPad price hike feels like a test for something even bigger: iPhone price increases. Last quarter, Mac and iPad sales accounted for just 14% of total sales. So when Apple drops its next earnings report (about one month from now), we’ll see how much customers are willing to pay up for the brand. I suspect Apple will do fine because its devices are more or less consumer staples. Some people will choose cheaper models. But who’s going to give up their screens in 2026? Or even worse – switch to Windows/Android? I’m in the market for a new phone myself, and I’d rather pay an extra $100 to $300 to Apple than deal with an inferior user experience. I’m an Apple shareholder, so I won’t pretend I’m unbiased. SpaceX Plays Great Defense I sold my SpaceX (SPCX). And I might have screwed up. Because this stock has been doing a great job of holding that $150 area: We all know the issues with this company. It’s overvalued. A ton of shares will hit the market when lockups expire. We might not see a data center in space for many years. But the buyers keep stepping up This could be a situation where the bear case is way too obvious to be right. At least for now. Because those lockup expirations will pack a big punch. Are We Getting the Fed Wrong? The market continues to brace for higher rates. The CME’s FedWatch Tool shows that the market is pricing in a 77% chance of higher rates by year-end. This hasn’t changed much over the past month. But it is a pretty big sea change from earlier in the year, when we were debating how many cuts we’d see. Though interestingly, this chart from Apollo has been making the rounds: The market is almost always wrong about what the Fed will do, per Apollo: pic.twitter.com/yluOOKYynD — unusual_whales (@unusual_whales) June 26, 2026 Apollo argues the market is usually wrong in sniffing out Fed policy. Which makes sense because the Fed itself isn’t very good at predicting anything. Remember when inflation was “transitory” for about 98 straight years? So maybe, just maybe the smart move is to bet on lower rates? Sentiment Suddenly Flips Bullish. Sort Of. The AAII Sentiment Survey shows that 44.9% of investors are bullish on stocks. This is a big jump from 36.9% last week. And it’s the first above-average bullish reading since May 13. The market peaked on June 2 at SPX 7620, so it took a few weeks for the mood to catch up. And during that time, the market’s slipped a bit. On balance, it would be better to have less bullish sentiment, because it implies there are still doubters on the sidelines. However, this is still far from euphoric sentiment, which we haven’t had in quite some time. Meanwhile, CNN’s Fear and Greed Index is at just 25, in the extreme fear category. Keep in mind Fear and Greed is calculated by market indicators, while AAII is determined by an actual survey, reflecting people’s actual feelings. Add it up and investors/traders are ‘sorta’ bullish.
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