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Gianni Di Poce just flagged something that stopped me in my tracks. Fund managers dumped stocks last week at one of the fastest rates in history.
Yet Bitcoin and Ethereum have held firm through the entire selloff.
That disconnect matters. Gianni’s read is straightforward: if crypto were getting hammered alongside equities, we’d be in a genuine risk off environment. Crypto rallying during turbulent conditions signals the selloff may not be as severe as the headlines suggest.
Stocks are bid again today after Monday’s strong session. The Nasdaq is leading, the Russell 2000 is up the most, and semiconductors continue outperforming the broader market. That last point is a risk on signal Gianni has been tracking closely.
But there is a problem lurking beneath the surface. Crude oil is calling the shots.
Gianni showed that the VIX is trading nearly in lockstep with oil prices. Rising oil is fuel for bears, and with the Iran conflict escalating, that pressure is not going away soon.
The Fed meets tomorrow. No rate cut is coming. Gianni is focused on the rhetoric, specifically whether Powell will acknowledge the stress building in private credit markets.
That stress matters because of the historical parallel. The 2023 regional banking crisis hit right around this same time of year. The Fed stepped in with backdoor interventions, and that turned out to be a fantastic time to buy stocks. Gianni raised the possibility that this private credit crunch could set up the same way.
Here is what Gianni covered in tonight’s video:
Financials are seeing massive outflows as the second largest sector in the market behind technology. That rotation is creating serious headwinds for the indices.
The S&P 500 has closed near the lows of its daily range for four consecutive sessions. Gianni flagged that as unhealthy price action heading into a Fed decision.
Circle Internet Group, a major stablecoin issuer, just hit Gianni’s upside target at $128. He locked in a 33% gain on the first half of the position through Trinity Trades.
The day after Fed day matters more than Fed day itself. Gianni expects the dollar to pull back post-meeting, which could provide a tailwind for precious metals and risk assets.
Gianni also laid out his long term thesis: the Nasdaq could rally as high as 100,000 over the next few years as the second wave of AI plays out. The noise right now is masking an abundance of opportunities at the individual stock level.
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As a contrarian investor, I find myself drawn to these words from Mark Twain…
Whenever you find yourself on the side of the majority, it is time to pause and reflect.
Twain warns against blind conformity. The majority may rule, but they aren’t always correct. History is full of moments when most people believed something that turned out to be wrong.
I believe worthwhile agreement should come from reasoning, not crowd behavior.
Today, I’d like to pause and reflect… especially before my FutureProof 2026event, which I’m holding tomorrow, March 18, 2026, at 1:00 pm ET (you can reserve your spot for that free broadcast here).
As I was prepping for this specialbroadcast, I came across a piece of high-end research not available to the public. It’s from one of the leading market foresight and strategy firms.
This type of research isn’t even sold online. Access typically requires direct inquiry.
You get the idea.
But I was able to review it — and it confirmed something important…
I thought I was one of only a few contrarian voices speaking about AI’s emerging bottlenecks. But I’m actually joined by a growing chorus of voices behind Wall Street’s closed doors.
And when agreement starts forming behind closed doors, it’s often a signal something bigger is already underway…
Renowned Futurist, Eric Fry, has been seen on CNBC repeatedly recently voicing a highly contrarian call. “Nvidia, Amazon and Tesla are ticking time bombs in investors’ portfolios,” he says. Instead, he’s sharing three NEW stocks positioned to take over as the tech kingpins of tomorrow. Get Eric’s full “Sell This, Buy That” list right here.
The Most Crowded Trade in the Market
It may be the most contrarian view at the moment: to rotate capital away from Big Tech and into a new class of smaller “asset-heavy” companies.
That’s because Big Tech is the market.
Companies like Nvidia Corp. (NVDA), Microsoft Corp. (MSFT), Apple Inc.(AAPL), Amazon.com Inc. (AMZN), and Alphabet Inc. (GOOGL) make up a large portion of the S&P 500 and the tech-heavy Nasdaq Composite.
AI is the dominant narrative right now. Capital continues to flow into these names because investors see them as the core beneficiaries of the AI boom.
So, most investors stay long – even if these hyperscalers’ valuations look stretched.
But when everyone agrees Big Tech is the place to be… that’s exactly when a contrarian pauses and reflects.
For more than two decades, markets have rewarded “asset-light” digital companies focused on software, social media, and the internet.
These companies scaled quickly, required little capital, and generated enormous margins. But AI is changing that dynamic.
Artificial intelligence is forcing Big Tech to become capital-intensive.
These so-called hyperscalers are having to spend enormous amounts on AI data centers and other infrastructure. As a result, their capital expenditures are rising rapidly while free cash flow is coming under pressure.
The AI capital expenditures by the five major hyperscalers now consume more than half of their pre-CapEx cash flow.
Just yesterday, Meta Platforms Inc. (META) said it plans to spend up to $135 billion in AI-related costs in 2026.
The research notes that free cash flow at the Big 5 hyperscalers could be cut in half between the end of 2025 and the end of this year due to AI spending:
But now, we see that capex as a percentage of operating cash flow for hyperscalers is likely to be more than double what it was three years ago. And as a result, their trailing-4Q free cash flow is likely to be cut in half between 4Q 2025 and 4Q 2026. Note that these five stocks account for nearly one-fifth of the S&P 500’s total market cap.
So far, however, investors are turning a blind eye to this troubling trend. The popular storyline seems to be that these titanic investments, while onerous over the short term, will reap major benefits over the long term.
Pause. Reflect.
I have been warning against the high valuation of Big Tech companies for months. In the beginning of this year, I wrote to my subscribers…
In 2026, the most crowded trade in the market does not need a collapse, a recession, or a crisis to lose money. It merely needs valuations to adjust to a world where the Mag 7 stocks do not produce robust cash flow and fat profit margins as reliably as they did in the past.
That world has arrived.
From a Demand Economy to a Supply Economy
The global economy is shifting: We’re moving from a demand-constrained economy to one constrained by supply. The research I got access to highlights bottlenecks in key areas, including:
Processing capacity
Energy
Metals
Minerals
I’ve been sounding the alarm on a few of those over the past several days. There is a raw materials bottleneck forming, for example, and those behind Wall Street’s curtain agree.
It’s simple: You cannot build AI infrastructure without massive amounts of physical materials.
And compared to relative global wealth, the metals and raw materials sector is tiny. This means even small capital flows into mining companies could cause huge share-price increases.
Geopolitics plays a part in the equation here…
China controls around 70% of global processing for many critical minerals. The country dominates the smelting, refining, and mineral processing stages.
China can influence global prices by restricting exports, adjusting smelting capacity, and manipulating supply chains.
And while China expands refining capacity, Western smelters are shutting down. The result is a structural shortage in metals processing.
That pushes prices higher.
For my FutureProof 2026event, I’ve identified several raw materials companies positioned to benefit as this bottleneck grows in the years ahead, all while Big Tech stands at the ready, checkbooks in hand.
And it’s not just raw materials.
I’ll lay out the real impact of these constraints… the stocks I believe you should sell… and the names and tickers I think stand to benefit as this shock plays out.
A Narrow Window to Act
This is not a general market outlook.
This is a specific, time-sensitive call – and I built my FutureProof 2026event around it because I believe the window to act is narrow.
Right now, that contrarian view is starting to spread.
That means getting ahead of the curve before this contrarian view bursts into the mainstream.
I’m already starting to feel the tremors – just like I did prior to the dot-com bust when I protected my readers from huge losses and guided them into stocks that soared while tech stocks were crashing.
That’s why I believe investors need to act before this shift moves into the mainstream… and likely before the end of April. That’s when I believe $10 trillion in wealth concentrated in Big Tech stocks will rotate into the companies that supply the physical goods needed for the continued AI buildout.
I believe the earnings announcements from several of the Magnificent Seven companies between April 24 and May 1 – specifically their language around “pacing” and “supply constraints” – will trigger the smart money to do the math.
In fact, we’re already hearing early hints.
Just a few days ago, Nvidia’s head of AI infrastructure expressed the “exciting opportunity” central processing units (CPUs) present. They are “becoming the bottleneck in terms of growing out this AI and agentic workflow.”
But I believe the investment opportunity is even more granular – and profitable – than that.
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As I was thinking about everything we associate with the holiday – from Ireland to wearing green to shamrocks to beer – I started pondering the concept of luck. What is it, really? How much does it matter? Does it even exist at all?
Having known Alex for years now, I can personally tell you how much time and energy he put into writing this book – and how strongly he feels about ideas like the American Dream, liberty, and prosperity.
Several times in my Liberty Through Wealthcolumns, I’ve discussed New York Times columnist Robert Frank’s thesis that the key difference between the “haves” and the “have-nots” in this country is not talent, hard work and persistence but luck.
I have a friend and neighbor whose views are diametrically opposed to Frank’s.
His name is Dr. Bob Rotella – and he is the world’s leading sports psychologist.
Bob has worked with Olympic gold medalists, world tennis champions, the winners of 84 major golf championships, NCAA champions in basketball, soccer, lacrosse, and track and field, and some of the world’s greatest musicians.
Many of today’s finest athletes, including LeBron James and Rory McIlroy, consult with him regularly.
He has also worked as a consultant to many of the world’s largest companies, including General Electric, Ford, Coca-Cola, and Merrill.
Bob has devoted his life to helping people who want to be exceptional. And he summarized some of his most important findings in his latest New York Timesbestseller, How Champions Think.
Throughout his career, Bob discovered that great achievers share many attitudes and attributes.
Here are just a few of his findings about what sets the best competitors – in business and in sports – apart from the also-rans:
No. 1: Intense Optimism
It’s tough to achieve great goals without an unwavering conviction that you will achieve them.
Exceptional people generally do this through intense, purposeful visualization. Optimism keeps them juiced, excited about their prospects and willing to work harder than others.
Optimism alone doesn’t guarantee anything, of course. But it is an essential ingredient. There is an almost perfect correlation between negative thinking and failure.
No. 2: A Confident Self-Image
We all construct a mental picture of ourselves. To a great extent, that self-image determines what we become in life. Champions view themselves as winners. And they devote their lives to making that image a reality.
No. 3: Habits of Excellence
Exceptional people follow strict habits that make success almost inevitable. Commitments are a dime a dozen. But unwavering perseverance is a virtue in short supply.
In Bob’s experience, people who struggle generally have habits that undermine their efforts.
Exceptional people don’t just pursue a dream. They fall in love with the process that makes it come true. They don’t just work longer and harder. They work smarter. Bob claims that if you’re not aspiring to dominate, to be the very best, you’re coasting.
And you can only coast in one direction.
No. 5: Single-Mindedness
Champions don’t generally live well-rounded lives. They know they cannot be great business leaders, great parents, great athletes, great socializers and tireless contributors to their communities. They have a passion for one thing and pursue it with the zeal of the newly converted.
In Bob’s experience, champions spend most of their waking hours striving to become the very best at what they do – and spend their remaining hours with their families.
No. 6: Honest Evaluation
Many people set high standards for themselves. But then they go easy on the self-evaluations. Average achievers tend to overestimate how hard they work. Champions don’t. They define excellence in specific terms and commit themselves to the most rigorous standards.
No. 7: Resilience
Failure is inevitable in business and in life. But exceptional people don’t let it define them. They find something to cling to, some hope for the future. Each setback comes with some lesson to be learned.
“Working Hard” Is the Bare Minimum
Robert Frank would counter that plenty of people are talented and work hard but – because they aren’t lucky – don’t achieve great business or financial success.
What he doesn’t seem to realize is that working hard is the bare minimum for exceptional people.
Champions know working hard doesn’t guarantee success. It only guarantees that they can live with themselves.
With great achievers, long hours are just a starting point.
They understand that their biggest struggle is the one within themselves. Anything that causes them to prepare less meticulously or execute less perfectly is a distraction, a hindrance, an encumbrance.
That’s why they surround themselves with, and listen to, those people who will help them succeed.
As Bob writes, “The exceptional person has a vision – of great performances, of a great career, of a great something – and doesn’t care what others may say or think. He ignores information that suggests his dream is unrealistic. He just sets about making that vision a reality.”
Does this really sound like luck?
By sheer coincidence, I read the Rotella book and the Frank book at the same time. It felt like I was traveling between alternate universes.
In one, success is determined by greatness of vision, indomitable will, laserlike focus, persistent striving and uncommon resilience.
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Editor’s Note: My colleague Eric Fry has spent decades studying how major trends play out and how investors can profit. And he says nearly everyone is looking at AI the wrong way right now.
I completely agree. That’s because, in past tech booms, some of the best performers weren’t the obvious plays. They were the companies supplying what the industry needed to grow.
AI runs on real-world inputs like energy, materials and memory. And in the essay below, Eric shares how these bottlenecks could play a big role in determining which companies move higher from here.
Eric will break this down in more detail during his FutureProof 2026event tomorrow, March 18, at 1 p.m. Eastern.
Sometimes, the direction of the global economy hinges on a single narrow passage.
A place where critical resources have to squeeze through a surprisingly small opening.
This week, the world got a stark reminder of one of these critical passageways.
At its narrowest point, the Strait of Hormuz is just 20 miles wide.
Yet until very recently, nearly one-fifth of the world’s oil supply flowed through that tiny stretch of the Persian Gulf every day.
As we’re seeing right now, when shipping through the strait slows or stops, the consequences ripple across the entire global economy.
Oil prices spike. Energy markets react. And Wall Street starts paying very close attention.
That’s because when a critical system narrows to a single chokepoint, everything behind it becomes vulnerable.
And right now, something very similar is happening in artificial intelligence.
AI may look like a purely digital revolution. But beneath the software and algorithms lies a physical supply chain — one that’s beginning to strain under explosive demand.
The AI boom depends on enormous quantities of copper, electricity, and memory chips.
And today, all three are facing growing constraints.
In other words, the AI Revolution is running into chokepoints of its own.
In today’s Smart Money, let’s walk you through these emerging bottlenecks, and I’ll show you why they could determine which companies win the next phase of the AI boom.
Because when supply gets tight, the companies controlling those chokepoints often become the most profitable businesses in the system…
Luke Lango’s readers weren’t surprised. He’d already identified the exact supply chain chokepoints that become national security emergencies the moment a conflict like this erupts. He’s named 100+ stocks he believes will be at the center of Washington’s next move. Free. Get the full list here.
AI’s New Chokepoints
As explosive as AI is, it still has boundaries.
Artificial intelligence ultimately runs on physical inputs: raw materials, energy, and memory chips.
Right now, the world doesn’t have enough of any of them.
Let’s start with raw materials.
Demand for data centers, computing power, and electricity is exploding. But the copper, rare earths, magnets, transmission capacity, and material supply chains needed to support that growth are constrained.
To sustain the current pace of AI expansion, we would need to mine as much copper over the next 18 years as humanity has mined in the last 10,000 years combined.
And the market seems to have figured this out.
Since 2025, copper investments have returned more than 100%.
Meanwhile, AI-focused hyperscalers like Amazon.com Inc. (AMZN), Meta Platforms Inc. (META), and Microsoft Corp. (MSFT) have averaged gains of just 1%.
And that’s just the beginning.
The next major bottleneck forming in AI is in energy.
Data centers are filled with expensive chips from companies like Nvidia Corp. (NVDA) and Advanced Micro Devices Inc. (AMD).
But those chips must be powered the moment they’re turned on – or their value immediately begins to deteriorate.
In other words, power isn’t just important to AI growth.
It is AI growth.
Demand for power near data centers is already straining local grids. In some areas, electricity now costs up to 267% more than it did five years ago.
Meeting this demand will require an all-hands-on-deck approach – wind, solar, nuclear, natural gas.
The third bottleneck is memory, also known as DRAM…
Nvidia CEO Jensen Huang put it plainly: “The memory bottleneck is severe.”
Without enough DRAM, AI systems simply run out of room to process information.
And the shortage may persist for years.
Nearly 100 gigawatts of new data centers are scheduled to come online over the next four years. But there’s only enough DRAM to support roughly 15 gigawatts over the next two years.
Without memory, artificial intelligence quite literally can’t think.
So these bottlenecks are very real — and they will affect how the AI boom unfolds.
Some companies will struggle because of them.
But others will benefit…
The Companies Controlling AI’s Chokepoints
The companies best positioned to win in this environment aren’t purely digital businesses.
They’re the ones tied to the physical infrastructure behind AI.
Just look at the damage software stocks suffered recently.
Meanwhile, the companies producing AI’s essential building blocks are becoming increasingly valuable.
I’m talking about businesses involved in:
copper mining
power infrastructure
fiber-optic components
energy generation
and memory manufacturing
These aren’t flashy companies.
But they produce the tangible materials that keep the AI Revolution running.
And when supply is tight, companies controlling those materials can see their profits soar.
In fact, I’m tracking several companies that sit directly at the center of these shortages — and Wall Street still hasn’t fully priced it in.
That’s what we’ll be talking about at my upcoming event, FutureProof 2026, tomorrow, March 18, at 1 p.m. ET. During this free presentation, I’ll walk through each of these emerging bottlenecks in detail – and reveal the specific companies I believe are best positioned to benefit.
Only a small number of companies will benefit from this phase of the AI story.
Because when an entire system depends on a few narrow chokepoints — whether it’s oil flowing through the Strait of Hormuz or AI running on copper, electricity, and memory — the companies controlling those bottlenecks often become the biggest winners.
So, if you want to understand where the real opportunities may be forming, I encourage you to reserve your seat.
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We’re continuing to monitor today’s alert for a sustainable breakout higher after it rallied +10% so far today.
Now, get ready for a new alert coming tomorrow morning, Wednesday at 9:30am ET.
Our next alert is shaping up to be a standout opportunity.
This company has shown a history of experiencing high volatility, which has previously led to significant and sustainable double-digit rallies.
Now, it could be positioning for another big breakout higher.
Based on the technical chart structure, we believe this alert has strong potential to deliver meaningful upside.
Be ready tomorrow morning, Wednesday at 9:30am ET.
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Open Reddit right now, and you may see the TSLA consensus:
“Elon’s politics are killing the brand. European sales are tanking. BYD is eating market share. It’s over.”
Lots of noise, right?
However, you can quickly use TradeGPT to check if Smart Money agrees.
How? Through dark pool data and options flow.
Imagine what the flow could look like:
“Over just 5 sessions, there’s over $200 million in dark pool block accumulation, clustered between $280–$295. The call/put ratio on options flow is north of 1.8, and there are multiple $2M+ call sweeps hitting the ask in the last 48 hours.”
This kind of data would be screaming that someone with very deep pockets is betting the crowd is wrong.
You can even assign TradeGPT to immediately create the Divergence Score, where it measures the gap between what retail believes and what institutional money is actually doing. When the score hits 8+, it means the narrative and the flow have completely decoupled.
Meaning? It could be a meatball for a contrarian.
You can’t see this on a chart. You can’t find it on Reddit. You can’t piece it together from CNBC headlines. It requires scanning millions of dollars in dark pool prints, cross-referencing options positioning, and scoring the divergence in real time.
That’s what TradeGPT could do with one prompt.
Options Academy takes it further.
When setups like this align with Bronco’s technical framework, he sends a live alert to the chat room with the exact trade: ticker, strike, entry, target.
The AI spots the divergence. The veteran executes the trade.
The S&P is stuck in neutral… one corner of the market that’s soaring… the other lucrative bottlenecks… financials are warning us… when is Bitcoin a “buy”?
Luke Lango had named them months ago — before the Iran strikes, before the oil spike, before the headlines. The full list is still free. Click here to see every stock on it.
Artificial intelligence has a memory problem
More specifically, it has a memory bottleneck.
In yesterday’s Digest, we touched on this.
Here’s Eric:
A huge bottleneck is memory, also known as DRAM…
Nvidia CEO Jensen Huang put it plainly: “The memory bottleneck is severe.”
To understand why this matters, it helps to think about how AI systems actually work.
The powerful GPUs made by companies such as Nvidia do the heavy lifting for AI calculations. But those chips can’t operate alone. They rely on extremely fast memory to feed massive amounts of data to train and run AI models.
In simple terms, memory acts like your office desktop for AI.
The AI processor is doing the work – but it needs space to spread out data, analyze it, and move it around.
If the desktop is too small, the system must constantly stop, move things around, and reload information. Everything slows down.
As Eric explains:
Without enough DRAM, AI systems simply run out of room to process information.
Without memory, artificial intelligence quite literally can’t think.
The newest AI systems rely on a specialized form of DRAM called high-bandwidth memory (HBM)
HBM allows enormous volumes of data to move back and forth between memory and AI processors at extremely high speeds. It’s one of the key components that allows modern AI systems to function.
The problem is that memory supply – including HBM – isn’t expanding fast enough to keep up with demand. And demand is about to surge.
Here’s Eric explaining:
Nearly 100 gigawatts of new data centers are scheduled to come online over the next four years.
But there’s only enough DRAM to support roughly 15 gigawatts over the next two years.
In other words, the industry is building AI infrastructure far faster than advanced memory supply can keep up.
That imbalance is one reason companies connected to the memory supply chain – from chipmakers like Micron, to semiconductor equipment suppliers like Lam Research and Applied Materials – have been rallying sharply this year.
In short, investors are beginning to realize that memory may be one of the most important chokepoints in the entire AI economy.
The bottlenecks shaping the next phase of the AI boom
In yesterday’s Digest, we dug into copper’s bottleneck. And beyond today’s discussion of memory, Eric also recently flagged energy:
Demand for power near data centers is already straining local grids. In some areas, electricity now costs up to 267% more than it did five years ago.
Meeting this demand will require an all-hands-on-deck approach – wind, solar, nuclear, natural gas.
These areas represent major opportunities for investors today, thanks to severe imbalances between supply and demand. As Eric notes:
When supply is tight, companies controlling those materials can see their profits soar.
If your portfolio has been mimicking the S&P – doing nothing for months – these chokepoints are where to look for outperformance.
Tomorrow, at1 p.m. ET., Eric will explain how these constraints are developing – and highlight the companies positioned to benefit from them – during his FutureProof 2026 event.
This sector is sending a very different signal about market health
A critically important sector is flashing warning signs today…
Financials.
Historically, financial stocks have been among the most important early warning indicators in the market.
To explain why, think about what banks and financial firms do…
They lend money, facilitate investment, support business expansion, and grease the wheels of economic growth. So, when the economy is healthy, financial stocks tend to thrive.
But when investors grow concerned about the economy – or about the stability of the financial system itself – this sector is often among the first to weaken.
That’s why veteran investor Brian Hunt, editor of Money & Megatrends, is watching the Financial Select Sector SPDR Fund (XLF) closely right now.
XLF is the market’s largest and most liquid ETF focused on the U.S. financial sector. Its holdings include heavyweights JPMorgan Chase (JPM), Bank of America (BAC), Wells Fargo (WFC), Goldman Sachs (BS), and Visa (V).
As Brian explains:
These firms and others like them form America’s financial backbone.
They rise and fall with America’s ability to make money, save money, start companies, service loans, invest money, and generally just “get along.”
For much of the past two years, this backbone looked strong
From late 2023 through early 2026, XLF enjoyed a steady bull market as banks and financial firms reported solid growth.
But recently, something has changed.
Back to Brian:
Over the past two months, investors have grown concerned about the health of U.S. banking and the larger economy.
AI is threatening major industries, such as software, in which the banking industry has significant exposure.
In addition, Operation Epic Fury could constrict supplies of critical resources and damage the economy.
The result has been a sharp shift in the chart.
XLF is now down double digits from its latest high and recently hit its lowest level in nine months.
More concerning to Brian, it has also slipped below its 200-day moving average – a technical level many investors use to gauge the market’s long-term trend.
Here’s Brian’s chart…
And here’s his warning:
All the really bad things – crashes, panics, horrible bear markets – happen below the 200-day moving average.
To be clear, this does not guarantee a recession or a bear market. But it is a warning sign.
As Brian notes, for the financial sector (and our broader market) to regain its footing, XLF would need to rally roughly 6% to climb back above $53, reclaiming its long-term trend.
Until that happens, the S&P’s multi-month sideways pattern is likely to continue.
Bottom line: this isn’t the time to chase the average stock in the S&P 500. Stay selective, focusing on areas where strong structural forces continue to drive demand, such as the bottlenecks we’ve been discussing in the AI supply chain.
Speaking of staying selective, let’s check in on Bitcoin
We haven’t talked much about Bitcoin lately – and for good reason…
After peaking above $126,000 last October, Bitcoin has spent the ensuing months grinding lower – a sign of the long, frustrating bust phase that tends to follow every crypto boom. As I write on Tuesday, it trades around $74,700.
For investors, this kind of environment usually means one thing – patience.
But according to Luke, new data suggests the bottom of this cycle may be closer – and higher – than previously expected.
Luke has spent months analyzing where Bitcoin sits in its historical boom-and-bust pattern. Originally, his base case called for a deeper flush toward $40,000 sometime between late 2026 and early 2027.
But several new indicators are forcing a reassessment…
Here’s his latest thinking:
Our new base case: one more flush into the $50,000–$58,000 range, most likely Q2–Q3 2026, representing our primary accumulation target ahead of the next bull cycle.
Remember what history suggests about where we are today
It’s back in fashion to declare Bitcoin useless, pointless, and effectively “dead,” as one commodities strategist just did. He’s forecasting Bitcoin will crash to $10,000, making it uninvestable for institutional investors.
We’d be wise to view such predictions through a historical lens…
According to the website “BitcoinDeaths.com,” the cryptocurrency has been declared dead 471 times.
Here’s a fun chart that chronicles those calls alongside Bitcoin’s price.
Source: BitcoinDeaths.com
Now, take a guess…
If you’d invested just $100 at each declaration of death, how much money would you have today?
A cool $77,587,553 as I write.
Wise investors understand that the best way to take advantage of tomorrow’s Bitcoin boom – which hasn’t failed yet, despite countless such predictions – is by keeping a level head and accumulating during today’s bust.
I’m not advocating that you cannonball in today. Even bulls are betting on lower prices in the months to come. But when fear replaces euphoria, history suggests opportunity isn’t far away.
Back to Luke:
Trying to nail the exact bottom tick is a fool’s errand, and we have said that consistently…
Scale into the $50,000–$58,000 zone gradually when it arrives.
The asymmetry is what you are buying, not the number.
Bottom line: For now, Bitcoin still sits above Luke’s primary accumulation zone. But if we see another flush lower, consider scaling in with an eye toward next year and beyond.
We’ll keep you updated on all these stories here in the Digest.
Have a good evening,
Jeff Remsburg
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RJ Hamster 