A Retrospective: What Our Sentiment Analyst Saw Before the March 2026 Rally

From February 24 to March 28, 2026, the market surprised a lot of investors.

• The S&P 500 climbed 15.3%
• The Nasdaq gained 19.1%

Going into late February, most investors were still cautious.

Our AI didn't "predict" the rally—but it did notice several positive signals building before the market moved higher.

This article explains what it saw and why those signals mattered.

A Quick Note#

This is a retrospective case study.

We're looking back at what happened using historical data.

It's meant to show how the Sentiment Analyst works—not to suggest it can consistently predict future market moves.

What Does the Sentiment Analyst Watch?#

Instead of focusing on price charts alone, the Sentiment Analyst looks at how the market is thinking.

It analyzes:

• Financial news and headlines
• Earnings calls and management commentary
• Analyst rating trends
• Options market activity
• Retail and social sentiment

On their own, none of these tell the whole story.

Together, they can reveal changes in market psychology before they become obvious.

Week 1: Headlines Stayed Negative... But the Story Changed#

During the first week of February, most headlines still sounded pessimistic.

But when our AI looked beyond the headlines, it noticed something interesting.

Many articles weren't reporting new problems.

Instead, they were repeating risks investors already knew about.

In other words:

The headlines looked scary, but the underlying information wasn't getting worse.

That's often a sign that fear is beginning to fade—even if people haven't realized it yet.

Week 2: Company Leaders Sounded More Confident#

The next signal came from earnings calls.

Several large technology companies started using more confident language when discussing the future.

Our AI noticed trends like:

• More confidence about customer demand.
• Less uncertainty in management's comments.
• More specific business guidance.

Most news coverage focused on recent earnings numbers.

Our AI focused on how executives were talking about the future.

Sometimes the tone says as much as the numbers.

Week 3: Options Markets Began to Calm Down#

The strongest signal came from the options market.

Investors had been heavily buying downside protection earlier in the year.

That started changing.

Our AI detected:

• Less demand for protective put options.
• Options pricing becoming more balanced.
• Signs that bearish positions were slowly being closed.

These aren't flashy headlines.

But they can be early clues that institutional investors are becoming more optimistic.

What the AI Reported#

By February 21, the Sentiment Analyst produced:

• Research view: Bullish
• Confidence: 67%

The biggest reasons were:

• Positive changes beneath negative headlines.
• More confident language from company management.
• Improving options market sentiment.

At the same time, the AI also noted reasons to remain cautious:

• Retail investors were still mostly bearish.
• Market volatility remained elevated.

Rather than saying "the rally is coming," the AI was saying:

"The evidence is becoming more positive, but uncertainty remains."

That's an important difference.

Then the Market Moved#

On March 4, the Federal Reserve released a statement that investors interpreted as more supportive for markets.

Stocks rallied sharply afterward.

Looking back, many of the positive signals had already been building for several weeks.

The Fed announcement acted as the catalyst—but investor positioning had already started changing beforehand.

What the Other AI Analysts Saw#

The Sentiment Analyst is only one voice. A full Valarn report combines up to ~25 specialist agents across five categories, and by February 28 their research views leaned like this:

Overall, the platform leaned Bullish, but with only moderate confidence (66%) and moderate agreement.

Notice something important:

Not every agent agreed.

That's by design.

Different agents look at different pieces of the puzzle.

The goal isn't unanimous agreement—it's a balanced view that has been tested from every angle.

What This Does—and Doesn't—Mean#

Looking back, the Sentiment Analyst had flagged several meaningful shifts in market psychology well before the rally became obvious.

It combined information from news, earnings calls, and options markets into one clear research view.

But this doesn't mean the AI can reliably predict every rally.

Sometimes these signals lead to strong market moves.

Sometimes they don't.

Markets are complicated.

That's why Valarn never relies on a single AI analyst.

Instead, every research report combines multiple perspectives—including fundamentals, price and market structure, macroeconomic trends, sentiment, and risk—to provide a more complete picture.

The Bottom Line#

Markets often begin changing before the headlines do.

By continuously monitoring thousands of articles, earnings calls, analyst reports, and market signals, the Sentiment Analyst can identify shifts in market psychology that may not be obvious at first glance.

Sometimes those shifts matter.

Sometimes they don't.

Our goal isn't to predict the future.

It's to help investors see important signals earlier, understand why they matter, and make better-informed decisions with a clearer view of the evidence.

We'll continue publishing retrospective case studies like this as we evaluate how our AI performs across different market environments.