Editor’s Note: For many years, investors were told to buy strong companies and hold them for the long run. In my experience, that approach can still work. But the market doesn’t always make it easy.
Stocks move faster than they used to. It’s common now to see big swings – sometimes 30% or more – even in companies that are doing well.
My friend and colleague Luke Langobelieves this is the result of deeper changes in the market. Algorithms, high-frequency trading, and heavy retail participation have made volatility a regular part of investing.
In the essay below, Luke explains why these shifts matter and how investors can look for stocks that may be ready to move higher.
He also explains the approach in a free presentation, where he walks through the system his team uses to scan thousands of stocks for potential breakouts.
There’s a quiet panic spreading through the investing world.
It doesn’t show up in headlines. But you hear it in planning offices and investor forums:
“Why doesn’t this make sense anymore?”
It’s that moment when your watchlist is green at 10:30… red by lunch… and back to flat by the close — and you can’t even point to a single piece of news that explains the entire round trip.
Or when a stock reports “good” earnings, sells off anyway, then rips higher two days later — not because anything changed in the business, but because money moved.
That disconnect is what’s unnerving people. Not volatility by itself… but volatility that feels unmoored, like the market is reacting to forces most investors can’t see.
The media focuses on AI companies and job disruption. But the deeper shift is happening inside the market itself.
Stocks move faster. They reverse harder. And they disconnect from fundamentals more violently than at any point in modern history. The strategies that built wealth for decades can still work — but they no longer work the way investors remember.
Markets that once moved in days now move in minutes. Sometimes seconds.
“Buy great businesses and wait” still works over long stretches. But it now requires enduring drawdowns many investors simply can’t stomach.
Algorithms are now the market.
They account for roughly 70% to 90% of daily U.S. equity volume. Add a surge in retail participation — with stock cash flows running more than 50% higher last year — and you get a system wired for speed and sharp swings.
The human beings you picture on a trading floor — reading tape, making calls, “deciding” what happens next — are mostly the last visible layer of the system.
The real decision-making is increasingly automated, happening in data centers where machines react to headlines, prices, and order flow faster than any person can process.
That doesn’t mean “humans don’t matter.” It means the first move often happens before humans even agree on what the story is.
The average holding period has collapsed from roughly eight years in the 1950s to about five months today.
Since COVID, we’ve experienced three bear markets — roughly one every two years.
That’s not a temporary phase. It’s structural.
And it may intensify. Markets are evolving beyond rule-based algorithms toward agentic AI systems that react to data — and to one another — in real time.
So what happens when price and fundamentals drift apart?
Blue-chip stocks like Netflix Inc. (NFLX)and Nvidia Corp. (NVDA) have lost 35%, 50%, even 60%+ before recovering.
Nvidia alone has endured four major crashes in eight years. The stock ultimately advanced — but holding through those drops required unusual discipline.
Most investors don’t “just hold.” They sell low and buy back higher. Loss aversion is powerful — and expensive.
Meanwhile, price behavior has grown increasingly detached from business performance. Opendoor Technologies Inc. (OPEN) rallied nearly 1,900% in two months despite deteriorating fundamentals.
Zillow Group Inc. (Z), another real estate tech firm with stronger revenue and market position, barely moved.
When price decouples from fundamentals, traditional analysis becomes unreliable.
OpenAI is gearing up for a historic IPO, and Silicon Valley insider Luke Lango has found a way for you to invest BEFORE the announcement is even made. You don’t need to file any special paperwork… buy shares from a former employee… have a source on the inside – or jump through any other hurdles. Best of all, all you need is just $10 to get started.
Stage Analysis: Built for Fast Markets
In a high-volatility environment, valuation alone isn’t enough. What matters is where capital is flowing now.
That’s the foundation of stage analysis, popularized by Stan Weinstein.
Every stock moves through four recurring stages:
Stage 1: Sideways consolidation
Stage 2: Breakout and sustained advance
Stage 3: Distribution
Stage 4: Decline
Stage 2 is where the money is made.
Palantir Technologies Inc. (PLTR) moved from $9 to over $200 after entering Stage 2.
Carvana Co. (CVNA) surged more than 6,000% from its breakout.
Stage analysis doesn’t forecast earnings. It identifies when accumulation is already happening and momentum is building.
In a market defined by rapid rotations, recognizing a Stage 2 breakout early can mean the difference between chasing a move and positioning ahead of it.
The Real Problem: You Can’t Do This Manually
There are thousands of publicly traded stocks. At any moment, a small number are transitioning from consolidation into breakout mode.
That’s where major gains begin.
You won’t catch them by flipping through earnings reports or waiting for a TV segment. By the time they trend on social media, the move is already underway.
That’s why my team built a systematic breakout screener, which I reveal during my new free broadcast. It scans more than 3,000 stocks and assigns each a 0-to-5 breakout score based on momentum strength.
In historical testing, it flagged eight of 2025’s top-performing stocks before their major advances — including:
Hycroft Mining Holding Corp. (HYMC) before a 1,100% run
Terns Pharmaceuticals Inc. (TERN)before an 865% surge
And Palantir long before it became a mainstream AI story
The objective is simple: identify stocks as institutional momentum builds — when price and volume confirm something meaningful is happening.
Volatility isn’t going away. Leadership will continue to rotate quickly.
You can try to keep up manually.
Or you can use a system designed for the market we actually have.
In my latest free presentation, I walk through how it works, what Stage 2 looks like on a chart, and which stocks are scoring highest right now. I give the name and ticker of one of those stocks away for free. Plus, folks who join me will gain unlimited access to my new breakout stock screener, which they can use to find their own Stage 2 stocks.
The market won’t slow down.
But you don’t have to fall behind.
Luke Lango Editor, Hypergrowth Investing
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Energy has been the story in the markets for at least the past year.
Prior to last week, when investors talked about the energy sector, it was in relation to how it would feed AI.
But now, because of the war in the Middle East, the main topic on everyone’s mind when it comes to energy is the surge in oil prices.
On February 20, I told readers in my Technical Pattern Profits VIP Trading Service that if oil got above $65, it was likely going to $80 quickly – and after it reached $80, I said it would go on to $95.
Yesterday, just 17 days after my initial prediction, it crossed $100.
There have only been three times in the past 44 years that oil has spiked above $100 per barrel. It happened in 2008, from 2011 to 2014, and in 2022 coming out of the pandemic.
Oil is back down in the low $80s as I write, but it’s still markedly higher than the mid-$50s prices we saw near the end of last year.
That obviously causes pain at the pump and raises inflation, as everything gets more costly to ship.
But what does it mean for stocks?
Let’s look at five previous periods when oil spiked.
In 1990, when Iraq invaded Kuwait, oil prices quickly doubled from around $20 per barrel to more than $40. You can see that during that move in oil, the S&P 500 had a nearly identical inverse reaction.View larger image
Nine years later, as the dot-com boom was entering its final phase, oil surged from about $10 per barrel to nearly $40 a year and a half later.
Interestingly, as oil rose, the S&P – caught in the final throes of dot-com mania – did not slide immediately. In fact, it continued to rise even though the rally was clearly running out of gas (pun intended).
Then, just as oil peaked, the market began its plummet.View larger image
The first time oil broke above $100 was January 2, 2008.
Like we saw during the dot-com boom, as oil began its rise, the market didn’t drop immediately. But that $100 level proved too much. In conjunction with the global financial crisis, the market melted down. Oil ascending to $145 put additional pressure on stocks.View larger image
The global recession brought oil prices back in check, but they quickly began surging again when the Arab Spring uprisings began in December 2010. Oil bounced around between roughly $75 and $110 for the next three years.
After the pounding from the financial crisis, stocks got up off the mat, even as oil prices doubled between 2009 and 2011 and then stayed elevated for several years. The S&P continued higher despite the high price of oil.View larger image
The COVID crash in 2020 obliterated both oil prices and stock prices. They quickly recovered together until oil hit $100, which was around the same time that stocks topped out and the 2022 bear market began.View larger image
So what have we learned?
Investing when oil prices are rising is like driving during a bad storm. It doesn’t necessarily mean that a crash is coming and it’s time to panic. But you should be paying closer attention and proceeding more carefully.
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Dear Investor,
It’s one of modern medicine’s greatest failures.
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You can feed AI all kinds of data and get a remarkable forecast in return…
They’re using AI to forecast medical readings in hospitals to save dozens of lives. each year in California ERs. In fact, according to the New York Times, medical AI now beats doctors at diagnosing many illnesses.
Google DeepMind’s AI can predict hurricanes faster than even the most advanced supercomputer models.
AI can predict energy grid blackouts in advance, to help prevent them.
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