Tuesday, February 17, 2026

Stocks Are Doing Something Rare. That Spells Opportunity. — Barrons.com

 

Stocks Are Doing Something Rare. That Spells Opportunity. — Barrons.com

3 min read

By Jacob Sonenshine

Returns for individual stocks have been all over the place, posing opportunities to buy fallen names. Cybersecurity and financial services are two great places to look.

Wall Street has been sorting through a lot as investors weigh the implications of the spread of artificial intelligence. Chip makers have seen their stocks surge: The VanEck Semiconductor exchange-traded fund is up 38% in the past six months because the data centers the Big Tech services companies are building require more hardware.

But shares of some of the companies making those giant investments have plummeted. Microsoft, for example, is down 23% in the past six months because the market isn't convinced the return on that spending will be high enough.

Other software names, and even financial services stocks, have dropped as well, responding to concern that AI could damage their business models. Investors are worried that tools created by privately held Anthropic and OpenAI could aid businesses in using their data more efficiently, or even help people manage their money, access loans, and buy insurance.

Mining stocks have benefited from the fact that data centers require more wire and other metallic products, sending metals prices higher. Freeport-McMoRan stock is up 45% in the past six months. The list of enormous moves goes on.

The big picture is that while stocks often move closer to in unison — the majority often rise or fall at the same time to varying degrees — that isn't happening right now. The correlation among U.S. stocks has been below 20% for the past two months, according to Citi strategists, putting it in the ninth percentile for the past 20 years.

A major reason is that the market is trying to discern which companies will emerge as long-term AI winners and which will ultimately see the technology devastate their profits. Investors are selling first and asking questions later, so many stocks that shouldn't get crushed are taking hits.

Those are the ones to buy. It's a funny moment in the market because while everyone knows there are lots of stocks that have fallen too far, it is difficult to identify them.

"Generally, when correlations are low, we tell clients that stock-picking is the best way to generate alpha," or outsize returns, says Kevin Brocks, 22V Research's director of portfolio strategy.

Barron's has worked to identify beaten-down stocks with the potential to provide large gains as they recover. Cybersecurity stocks are in that group.

Palo Alto Networks, CrowdStrike, Cloudflare, Zscaler, and Fortinet have all seen periods of double-digit declines in the past six months, simply because they are software companies and the market is worried about software. But cybersecurity software could easily prove to be an area where Anthropic and OpenAI can't easily compete.

The existing players in cybersecurity provide businesses with complex firewalls: software that identifies customers' internal users of data, and tools that allow or disallow access to information for parties external to the customer. It could take more than just a couple of years before Anthropic's and OpenAI's AI models are able to do the same thing, even if they try. And there is no certainty they will prioritize creating their own cybersecurity tools.

"Cybersecurity is another level where I don't think anybody [competitors] is going to make huge headway in the next year — year and a half," says Luke Rahbari, portfolio manager of the Rational Equity Armor Fund. "I haven't heard of these AI systems coming up with cybersecurity."

That isn't a unique opinion. Mizuho analyst Gregg Moskowitz says cybersecurity companies might be the most resilient to the AI threat of all the sub-businesses within software.

That makes these five large cyber stocks look attractive. Expectations for their aggregate 2026 earnings have barely budged since worry about AI hit the stocks this year. But their stock prices have fallen, making the shares cheaper relative to expectations for profit.

Take Palo Alto. The stock is selling for 39 times the earnings expected over the next 12 months, down from 56 times when it hit its record high in October. If the company maintains its current rapid earnings growth, not just in the next few quarters but beyond the next year or so, the market will assume the AI threat isn't materializing. That, plus higher earnings, would boost the stock.

The many financial companies that are using AI to their advantage are another basketful of potential bargains. AI won't necessarily edge banks and insurers out of their roles in the economy.

It's time to look for opportunities, as well as AI victims.

Write to Jacob Sonenshine at jacob.sonenshine@barrons.com

This content was created by Barron's, which is operated by Dow Jones & Co. Barron's is published independently from Dow Jones Newswires and The Wall Street Journal.

PANW stock | Earning crash | Feb 17 2026

 Palo Alto Networks (PANW) shares fell more than 5% in after-hours trading on February 17, 2026, despite reporting fiscal second-quarter results that exceeded analyst estimates. While the company beat on both the top and bottom lines, the "crash" was primarily driven by underwhelming profit guidance for the upcoming third quarter and the full fiscal year.

Q2 2026 Earnings Summary (Ended Jan 31, 2026)
The company demonstrated strong operational performance but faced concerns regarding future profitability due to acquisition costs.
  • Adjusted EPS: $1.03, beating the $0.93 consensus estimate.
  • Revenue: $2.6 billion, a 15% year-over-year increase, topping the expected $2.58 billion.
  • Next-Generation Security (NGS) ARR: Grew 33% year-over-year to $6.3 billion.
  • Remaining Performance Obligation (RPO): Rose 23% to $16.0 billion.
Why the Stock Fell: The "Guidance Gap"
Investors reacted negatively to a lower-than-expected earnings outlook, suggesting that recent large acquisitions—including the $25 billion CyberArk deal and $3.35 billion Chronosphere purchase—are weighing on near-term margins.
  • Q3 2026 EPS Guidance: Forecasted at $0.78 to $0.80, significantly below the analyst consensus of $0.92.
  • Full-Year 2026 EPS Guidance: Lowered to a range of $3.65 to $3.70, trailing the market expectation of $3.86.
  • Revenue Surge: Conversely, the company raised its full-year revenue guidance to $11.28 billion – $11.31 billion (up from $10.52 billion), but the market prioritized the bottom-line miss.
Key Strategic Context

  • Platformization Strategy: CEO Nikesh Arora noted that the "platformization" trend is accelerating due to AI, with customers consolidating their security stacks onto Palo Alto’s unified platform.
  • Recent Acquisitions: The stock's performance is currently sensitive to integration risks following the closures of the Chronosphere (Jan 29) and CyberArk (Feb 11) deals.
  • New Deal: Simultaneously with earnings, the company announced the acquisition of Koi Security to bolster its AI agent risk detection capabilities.

JP Morgan has released their list of AI-Resilient Software companies which are as follows:

 

JP Morgan has released their list of AI-Resilient Software companies which are as follows:

Microsoft

Twilio

Servicenow

Okta

Palo Alto

Zscaler

Sentinelone

Netskope

Snowflake

Datadog

Veeva

Guidewire

Costar

Sailpoint

Jfrog

Check Point

Tyler Technologies

Q2

Microsoft, CrowdStrike, and 17 Software Stocks That Can Survive AI — Barrons.com

 

Microsoft, CrowdStrike, and 17 Software Stocks That Can Survive AI — Barrons.com

2 min read

By Adam Clark

The software sector has suffered a roughly $2 trillion wipeout due to fears of disruption by artificial-intelligence technology. Analysts at J.P. Morgan think that's a buying opportunity — and they have a long list of AI-resistant names to offer.

"The market is pricing in worst-case AI disruption scenarios that are unlikely to materialize over the next three to six months," wrote J.P. Morgan's Dubravko Lakos-Bujas and colleagues in a research note.

That creates a bargain-hunting opportunity, and the bank's analysts have a list of 19 stocks for their J.P. Morgan AI-Resilient Software Companies basket, which they recommend for investors looking to buy high-quality software names at a discount.

Microsoft is the heavyweight name, after a 19% decline in the past three months, which included a poorly-received earnings report, as investors were disappointed by Azure cloud-computing growth given the company's heavy capital expenditures. J.P. Morgan's analysts argue that the reaction was overdone, grouping Microsoft with ServiceNow, another software name on the list.

"Key take-aways from earnings releases on the Software side include [Microsoft's] Azure growing materially faster at a larger scale than it was 9-12 months ago and ServiceNow's resilient growth despite Federal Government headwinds," Lakos-Bujas wrote.

Much of the rest of the list is dominated by cybersecurity names, including large publicly traded players such as Palo Alto Networks and CrowdStrike, along with smaller peers Zscaler, Check Point Software and SentinelOne.

"Given the positioning flush, overly bearish outlook on AI disruption of Software and solid fundamentals, we believe the balance of risks is increasingly skewed toward a rebound, especially in higher quality Software segments (i.e., Cyber)," wrote the analysts.

Data-focused software names Snowflake and Datadog also appear on the list, alongside enterprise software companies such as Twilio and Okta.

"Enterprise software remains deeply embedded across the corporate landscape, underpinned by multi-year contracts and high switching costs that provide a significant buffer against near-term displacement," J.P. Morgan's team wrote.

Among industry-specific software players, the list features Veeva Systems and Guidewire Software, which make products for the life-sciences and insurance sectors, respectively, as well as real estate technology specialist CoStar Group and public-sector software company Tyler Technologies. The basket is rounded out by JFrog, SailPoint, Netskope and Q2 Holdings.

As for how long investors might have to take advantage of the selloff, the analysts think the window could be closing soon.

"Upcoming catalysts that could trigger a reset in positioning include Software earnings over the next two weeks... and a wave of Software companies' investor days kicking off toward the end of the month providing an opportunity for management teams to challenge the bearish narrative," Lakos-Bujas wrote.

Write to Adam Clark at adam.clark@barrons.com

Monday, February 16, 2026

Customized stock monitor table indicators on TradingView

 Customized stock monitor table indicators on TradingView are created using Pine Script to display real-time, multi-asset data (price, % change, RSI, etc.) directly on the chart in a table format. These indicators allow traders to monitor up to 10-20 different instruments simultaneously without switching charts.

Here are the best, most popular custom stock monitor table indicators available on TradingView, according to the provided search results:
Top Customizable Stock Table Indicators
  • 4C Data Table Suite (by FourC): A comprehensive dashboard that provides market internals, prior bar ranges, and real-time price updates. It features dynamic color coding for quick trend assessment.
  • Market Monitor (by finallynitin): Allows monitoring of up to 20 custom indices or stocks, with options to track returns across various timeframes (daily to yearly) and sort by performance.
  • Multi-Ticker Table (by d1re): Ideal for a clean, at-a-glance summary of up to 10 tickers. It displays daily price, dollar change, and percentage change, with red/green highlighting for price movements.
  • Stock Table (aiTrendview): A real-time, multi-asset table designed for monitoring up to 10 instruments (stocks, forex, crypto) using Pine Script v5 for high performance.
  • Ultimate Custom Screener (by QuantNomad): An invite-only script that allows users to create a customized screener table with up to 40 symbols and 5 different indicator signals without writing code.
  • BuyPrice Tracker (by ronenc775): Tracks up to 15 stocks against your specific buy price, displaying percentage gains/losses with color-coded labels.
Key Customization Options
Most of these table indicators provide settings to tailor the view:
  • Table Position: Move the table to top-right, top-left, bottom-right, etc..
  • Tickers: Input custom ticker symbols (e.g., NASDAQ:AAPL, BINANCE:BTCUSD).
  • Color Themes: Switch between Light and Dark modes.
  • Visibility: Toggle specific rows or columns on/off.
  • Font/Size: Adjust text size for better readability.
How to Use Them
  1. Open TradingView and go to the Indicators tab.
  2. Search for the name (e.g., "Multi-Ticker Table") in the community scripts section.
  3. Click to add it to your chart.
  4. Open the indicator Settings to customize the symbols and appearance.
For a fully customized solution, users can generate their own Pine Script code using AI tools like ChatGPT to create unique dashboards that react to specific market conditions.