Last week I told you about my LULU trade — where the entry was right, but I mucked up the exit.

This week, a filing from Omaha made me realize that setup wasn’t just a one-off. It's a pattern — and Berkshire just put $2.65 billion behind the same one.

One signal I use to source good trades is listening to the smart money.

And while Warren Buffett has passed leadership over to Greg Abel, I still pay close attention when Berkshire Hathaway makes a move.

In their recent 13F filing for Q1 2026, it turns out Berkshire made a big bet on Delta Air Lines — $2.65 billion worth.

However, I don't blindly copy trades. I wanted to know why.

The simple story is this: geopolitical conflict has pushed oil prices higher. While oil producers have rallied, oil-sensitive sectors have fallen.

Fuel is roughly a quarter of operating costs for U.S. airlines, and their margins are thin to begin with. So with fuel costs spiking, it makes sense that the market would react and share prices would plummet.

But here's the thing — that's a rational price movement. It doesn't strike me as an overreaction.

So what did Berkshire see that I didn't?

I found that Delta has something the other airlines don't — a built-in hedge on oil prices. Delta outright owns a refinery called Monroe Energy. When the spread between crude oil and refined jet fuel widens — which is exactly what happens during an oil shock — Delta is effectively paying itself for part of its fuel instead of handing that margin to an outside refiner. The result is that it mitigates the damage from oil price shocks.

On top of that, Delta just posted record premium and loyalty revenue. Its Amex partnership alone generated over $2 billion in the last quarter, and management says corporate travel demand remains strong.

So the market sold "airlines" as a category because oil went up. But the thing that actually determines how much an oil shock hurts a given airline — fuel hedging — isn't the same across that category. Delta has a structural advantage the broad "airlines are exposed to oil" narrative doesn't account for.

Berkshire's bet is that the market priced Delta like every other airline, when Delta isn't like every other airline.

If that logic sounds familiar, it should — it's the exact same mechanism behind my LULU trade.

Inflation was up and consumer spending was down. So the market reacted and sold off the entire category of consumer discretionary. But the story didn't apply equally to every company inside it.

LULU's foot traffic didn't match the "consumers are pulling back" narrative — just like Delta's fuel hedge doesn't match the "airlines are exposed to oil" narrative.

Different sector. Different macro narrative. Same underlying pattern.

Here's the framework, stated plainly:

Inciting Incident — A macro event happens. Inflation, an oil shock, a rate move, whatever's dominating the headlines that week.

Market Reaction — The market sells off an entire category of businesses, based on a story about how that macro event affects "that kind of company."

Overgeneralization — These stories are generalizations. They describe the category, not any specific company inside it. Airlines are exposed to oil. Consumer discretionary suffers when wallets tighten. True enough as a rule — but rules have exceptions.

The Gap Check — Ask the question: is this generalization actually true for this company? Are there companies in the affected sector that are structurally insulated from the inciting incident? If the answer is yes, that's your opportunity. If the answer is no, the market got it right, and there's nothing to do.

Once I formalized the pattern, I immediately went to work to see if I could find a company that fit the description.

Guess what? I found one. Literally using this framework.

A macro narrative hit a sector, the stock got dragged down with everything else, and when I checked whether that narrative actually applied to this specific company, I found a gap.

Next week, I'll walk through the full thesis — entry, reasoning, and for the first time, the exit triggers written down before I need them.

Until then, take a guess. Reply and tell me what you think it is.

One hint: it's not an airline. But if you've been paying attention to tech headlines over the last couple of weeks, you might already have a guess.