Man, what a run it’s been. The S & P 500 is closing out the first quarter on an epic win streak: The index is up 10% year to date and an amazing 25% in the past five months. A run of 25% in any five-month period is a very rare event. Since 1950, there have only been seven other periods that have done better: S & P 500’s epic monthly win streaks Through March 2024 up 24.6% (current five-month streak) Aug. 31, 2020 up 35.4% (five-month streak) Aug. 31, 2009 up 27.9% (six-month streak) Jan. 31, 1999 up 33.6% (five-month streak) March 31, 1986 up 25.8% (six-month streak) Dec. 31, 1982 up 31.3% (six-month streak) May 31, 1975 up 32.9% (six-month streak) Feb. 28, 1975 up 28.4% (five-month streak) An imminent pullback? Maybe, but momentum is very powerful Naturally, with a run like this, everyone is now in the pullback prediction business. “This can’t continue,” is the refrain everywhere. “We’re going to pull back 10%. We have to, right?” Not necessarily. Momentum has been very strong. Noting that the S & P 500 is currently trading roughly 12% above its 200-day moving average (indicating very strong momentum), Todd Sohn from Strategas notes that, “While mean reversion is a threat, forward six-month returns tend to skew above historical averages.” His point: Even after these epic runs (with the S & P 500 up 25% or more in a five-month period), six months down the road, the market is higher most of the time: Epic five-month streaks (five months ended) Aug. 31, 2020 up 35.4% (up 8.9% six months later) Aug. 31, 2009 up 27.9% (up 8.2% six months later) Jan. 31, 1999 up 33.6% (up 3.8% six months later) March 31, 1986 up 25.8% (down 3.1% six months later) Dec. 31, 1982 up 31.3% (up 19.5% six months later) May 31, 1975 up 32.9% (up 0.1% six months later) Feb. 28, 1975 up 28.4% (up 6.5% six months later) Only one time out of seven, in 1986, has the S & P 500 been lower six months later after similar runs. It’s not just big cap tech: Market breadth has been expanding Another chestnut — “It’s all the Magnificent Seven!” — is just plain wrong. Tech is still lifting the market higher in the quarter, but its influence has waned in March, and other sectors have also seen strong advances. Select S & P 500 sectors YTD Communication Services up 15% Technology up 12% Energy up 11% Financials up 11% Industrials up 10% Health Care up 8% The only sector down this quarter is real estate, off by 3% in the period. And it’s not just a few big cap stocks advancing: Market breadth has been expanding. About 70% of the S & P 500 is in the green this year. The S & P 500 advance/decline has been on a tear since the middle of January, with far more stocks advancing on a daily basis than declining. So is the Russell 1000 , an even broader gauge of the market. That broader market strength is critical to a market advance. “Divergences and concentration can also be seen along the way in major bull markets, and thus they are critical only when the trend loses strength with bad breadth, meaning that most stocks are not participating,” veteran market watcher Ned Davis said in a recent note to clients. “We saw persistent strength with the S & P 500 up every month from November through February, and this has nearly always been followed by more months of strength,” he said. “Even if that new high in breadth was a cyclical peak, the hypothetical record shows it has historically come some 39 weeks, on average, before a market peak, so I conclude that the cyclical bull is still alive and kicking,” Davis said. What’s this all mean? Some kind of fall after such epic gains seems to make sense. What might not make sense, given market history, is to think you know when to time those declines or to try figuring out whether any pullback could be short and shallow. Given the kind of advances we have seen and the market breadth, “It’s much more profitable to stick around than try to time the markets,” Alec Young, chief investment strategist at MAPsignals.com, told me. “Markets tend to do much better than normal when we have had big moves like this,” he said. “You’re probably much better off just sitting on your gains.”
Cybersecurity and enterprise software stocks have been market dogs in 2026, with fears that AI will wipe out a wide range of companies in the enterprise space dominating the narrative. But they snapped a brutal losing streak this past week, joining in the broader market rally that saw all losses from the U.S.-Iran war regained by the Dow Jones Industrial Average and S&P 500.
Cybersecurity has been “a victim of some of the AI-related headlines,” Christian Magoon, Amplify ETFs CEO, said on this week’s “ETF Edge.”
It wasn’t just niche cybersecurity names. Take Microsoft, for example, which was recently down close to 20% for the year. Its shares surged last week by 13%.
A big driver of the pummeling in software stocks was a rotation within tech by investors to AI infrastructure and semiconductors and some other names in large-cap tech, Magoon said, and since cybersecurity stocks and ETFs are heavily weighted towards software companies, they were left behind even as those businesses continue to grow on a fundamental basis.
But Wall Street now has become more bullish with the stocks at lower levels. Brent Thill, Jefferies tech analyst, said last week that the worst may be over for software stocks. “I think that this concept that software is dead, and then Anthropic and OpenAI are going to kill the entire industry, is just over-exaggerated,” he said on CNBC’s “Money Movers” on Wednesday.
“Big Short” investor Michael Burry wrote in a Substack post on Wednesday that he is becoming bullish about software stocks after the recent selloff. “Software stocks remain interesting because of accelerated extreme declines last week arising from a reflexive positive feedback loop between falling software stocks and changes in the market for their bank debt,” he wrote.
The Global X Cybersecurity ETF (BUG), is down about 12% since the beginning of the year, with top holdings including Palo Alto Networks, Fortinet, Akamai Technologies and CrowdStrike. But BUG was up 12% last week. The First Trust NASDAQ Cybersecurity ETF (CIBR) is down 6% for the year, but up 9% in the past week.
Piper Sandler analyst Rob Owens reiterated an “overweight” rating on Palo Alto Networks which helped the stock pop 7% — it is now down roughly 6% on the year. Its peers saw similar moves, including CrowdStrike.
Performance of Global X cybersecurity ETF versus S&P 500 over past one-year period.
Magoon said expectations may have become too high in cybersecurity, and with a crowding effect among investors, solid results were not enough to to push stocks higher. But the down-and-then-back-up 2026 for the sector is also a reminder that when stocks fall sharply in a short period of time, opportunity may knock.
“Once you’re down over 10% in some of these subsectors, you start to see the contrarians start to say, ‘well, maybe I’ll take a look at this,'” Magoon said.
He said AI does add both opportunity and uncertainty to the cybersecurity equation, increasing demand but also introducing new competition. But he added, “I think the dip is good to buy in an AI-driven world,” specifically because the risks to companies may lead to more M&A in cyber names that benefits the stocks.
For now, investors may look for opportunity on the margins rather than rush back into beaten-up tech names. “I think investors are still going to remain underweight software,” Thill said.
But Magoon advises investors to at least take the reminder to keep an eye on niches in the market during pronounced downturns. “The best-performing are often the least bought and do the best over the next 12 months versus late-in-the-game piling on,” he said.
While that may have been a mindset that worked against the last investors into cybersecurity and enterprise software in mid-2025 when the negative sentiment started building, at least for now, it’s started working for the stocks in the sector again.
Meanwhile, this year’s biggest winner is also a good example of what can be an extended trade in either a bullish or bearish direction. Last year, institutional ownership of energy was at multi-year lows, Magoon said, referencing Bank of America data. “Reverse sentiment can be a great indicator,” he said.
But he cautioned that any selective buying of stocks that have dipped does have to contend with the risk that there is a potentially bigger drawdown in the market yet to come in 2026. That is because midterm election years historically have been marked by large drawdowns. “If you think it is bad right now, it could get a lot worse,” Magoon said. But he added that there’s a silver-lining in that data, too, for the patient investor. The market has posted very strong 12-month returns after midterm election drawdowns end. So, for investors with a longer-term time horizon and no need for short-term liquidity, Magoon said, “stick in there.”
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New innovation in the exchange-traded fund industry could come at a cost to investors during extreme conditions.
According to MFS Investment Management’s Jamie Harrison, ETFs involved in increasingly complex derivatives and less transparent markets may be in uncharted territory when it comes to violent downturns.
“Those would be something that you’d want to keep an eye on as volatility ramps up,” the firm’s head of ETF capital markets told CNBC’s “ETF Edge” this week. “As innovation continues to increase at a rapid pace within the ETF wrapper, [it’s] definitely something that we advise our clients to be really front-footed about… Lack of transparency could absolutely be an issue if we’re going to start seeing some deep sell-offs.”
His firm has been around since 1924 and is known for inventing the open-end mutual fund. Last year, ETF.com named MFS Investment Management as the best new ETF issuer.
“It’s important to do due diligence on the portfolio,” he said. “Having a firm that has deep partnerships, deep bench of subject matter experts that plays with the A-team in terms of the Street and liquidity providers available [are] super important.”
Liquidity as the real issue?
Harrison suggested the real issue is liquidity, particularly during a steep sell-off.
“We’ve all seen the news and the headlines around potential private credit ETFs. That picture becomes much more murky,” he added. “It’s up to advisors, to investors [and] to clients to really dig in and look under the hood and engage with their issuers.”
He noted investors will have to ask some tough questions.
“What does this look like in a 20% drawdown? How does this liquidity facility work? Am I going to be able to get in? Am I going to be able to get out? And if I’m able to get out, am I able to get out at a price that’s tight to NAV [net asset value], and what’s the infrastructure at your shop in terms of managing that consideration for me,” said Harrison.
Amplify ETFs’ Christian Magoon is also concerned about these newer ETF strategies could weather a monster drawdown. He listed private credit as a red flag.
“If your ETF owns private credit, I think it’s worth taking a look at, kind of what the standards are around liquidity and how that ETF is trading, because that should be a bit of a mismatch between the trading pace of ETFs and the underlying asset,” the firm’s CEO said in the same interview.
Magoon also highlighted potential issues surrounding equity-linked notes. The notes provide fixed income security while offering potentially higher returns linked to stocks or equity indexes.
“Those could potentially be in stress due to redemptions and the underlying credit risk. That’s another kind of unique derivative,” Magoon said. “I would very closely look at any ETF that has equity-linked notes should we get into a major drawdown or there be a contagion in private credit or something related to the banking system.”
Jamie Dimon, chief executive officer of JPMorgan Chase & Co., right, departs the US Capitol in Washington, DC, US, on Wednesday, Feb. 25, 2026.
Graeme Sloan | Bloomberg | Getty Images
JPMorgan Chase CEO Jamie Dimon said Tuesday that while artificial intelligence tools could eventually help companies defend themselves from cyberattacks, they are first making them more vulnerable.
Dimon said that JPMorgan was testing Anthropic’s latest model — the Mythos preview announced by the AI firm last week — as part of its broader effort to reap the benefits of AI while protecting against bad actors wielding the same technology.
“AI’s made it worse, it’s made it harder,” Dimon told analysts on the bank’s earnings call Tuesday morning. “It does create additional vulnerabilities, and maybe down the road, better ways to strengthen yourself too.”
When asked by a reporter about Mythos, Dimon seemed to refer to Anthropic’s warning that the model had already found thousands of vulnerabilities in corporate software.
“I think you read exactly what is it,” Dimon said. “It shows a lot more vulnerabilities need to be fixed.”
The remarks reveal how artificial intelligence, a technology welcomed by corporations as a productivity boon, has also morphed into a serious threat by giving bad actors new ways to hack into technology systems. Last week, Treasury Secretary Scott Bessent summoned bank CEOs to a meeting to discuss the risks posed by Mythos.
JPMorgan, the world’s largest bank by market cap, has for years invested heavily to stay ahead of threats, with dedicated teams and constant coordination with government agencies, Dimon said.
“We spend a lot of money. We’ve got top experts. We’re in constant contact with the government,” he said. “It’s a full-time job, and we’re doing it all the time.”
‘Attack mode’
Still, the CEO warned that risks extend beyond any single institution, given the interconnected nature of the financial system.
“That doesn’t mean everything that banks rely on is that well protected,” Dimon said. “Banks… are attached to exchanges and all these other things that create other layers of risk.”
JPMorgan Chief Financial Officer Jeremy Barnum said the industry has long been aware that AI cuts both ways in cybersecurity.
“These tools can make it easier to find vulnerabilities, but then also potentially be deployed by bad actors in attack mode,” Barnum said on the earnings call. Recent advances from Anthropic and others have simply intensified an existing trend, he said.
Dimon also said that while advanced AI tools are important, old-school cybersecurity practices remain essential.
“A lot of it is hygiene… how do you protect your data? How do you protect your networks, your routers, your hardware, changing your passcode?” he said. “Doing all those things right dramatically reduces the risk.”
Goldman Sachs CEO David Solomon said Monday during an earnings call that his bank was testing Mythos, though he declined to comment further.