Looks like Putin finally bought the dip. 🤣

$IRUS H2

A high-ranking Russian executive from the VIP terminal at Sheremetyevo—the departure point for Prigozhin’s plane—has been found hanged in Moscow.

Colleagues described the death as unexpected.

The body of 57-year-old Alexei Korschenko, who had previously managed the business aviation terminal at Sheremetyevo Airport, was discovered on the balcony of his apartment on June 6, according to *The Moscow Times*.

Korschenko played a key role in establishing the terminal where the aircraft belonging to Wagner chief Yevgeny Prigozhin was serviced prior to its final flight. Notably, he had been abruptly dismissed from his position about three weeks before his death.

According to media reports, Russian investigators are considering suicide as a possibility. At the same time, there is speculation that the deceased might have possessed information regarding events surrounding the business jet prior to its departure.

A malfunction in the turbo-cooler had been detected on board before the plane crash.
The component was scheduled for replacement, but a company linked to the FSB intervened in the process during the maintenance work.
It is possible that explosives were planted in that very assembly.

What's his final destination?

AMERICA'S BIGGEST TECH COMPANIES ARE HIDING BILLIONS IN DEBT.

A Nikkei study found this hidden debt grew 8x in just four years, and it's now bigger than these companies' actual, visible debt of $1.35 trillion combined, totaling $1.65 trillion.

Meta alone carries $420 billion in hidden debt, nearly triple what's on its official books.

Oracle's hidden debt hit $273 billion, a 30x jump in four years, tied to its Stargate data center project with OpenAI.

When a company signs a long-term lease for a data center that isn't built yet, or orders GPUs that haven't been delivered, accounting rules let them leave that off the balance sheet entirely.

It's fully legal. It's just invisible to anyone only checking the headline debt number.

This debt is also increasingly funded by outside investors, not just the companies themselves. Meta brought in Blue Owl Capital as a partner on a Louisiana data center, taking only a 20% stake while guaranteeing outside investors against losses if the project gets scrapped.

The Bank for International Settlements has a name for this exact pattern: "shadow borrowing," funding massive expansion without it ever touching the company's own balance sheet.

The bigger risk sits in the stock market itself. These five companies are among the small handful of stocks now driving most of the market's gains.

If AI demand doesn't grow as fast as expected, this hidden debt doesn't stay hidden, it converts into real, recorded losses right as data centers come online, hitting the same companies whose stock performance the broader market has become unusually dependent on.

The last stroke makes you nut

This doesn't mean the first stroke was useless

Success is a result of continuous effort

The 🇬🇧 UK approves use of military bases for US strikes on Iran.

Nasdaq $NDX has jumped almost 2% as the rebound accelerates led by semiconductors

$SOXL +17%
$MU +13%
$AMD +9%
$INTC +9%
$ORCL +5%
$NVDA +2%

The real taste of winning is when, everyone is waiting for you to lose.

Chinese AI models are wiping billions off Big Tech right now.

Google just lost $200 billion in a single day, and the model it needed to fight back still isn't ready.

Gemini 3.5 Pro, Google's most powerful model, is months behind schedule.

Alphabet stock dropped 4.4% that same day.

The Deepseek moment is happening again, and the new model is FAR bigger.

On the same day Google's delay leaked, a Beijing lab called Moonshot released Kimi K3.

It is the largest open model ever built, with 2.8 trillion parameters.

It took the number one spot on the Frontend Code Arena, a live coding leaderboard, passing Anthropic's best model.

And Moonshot is giving it away for free on July 27.

The genius part:

Anyone with enough computers can download it and run a frontier level AI without paying a cent to a US company.

A single task on Kimi K3 costs about 94 cents.

The same work on some American models costs nearly double.

So why would a company keep paying premium prices for a model it can now get for free?

The entire US AI business is built on selling access to models that cost billions to train.

If a free Chinese version does most of the same work, that pricing power starts to crack.

And Kimi is close to the best. On one closely watched intelligence ranking it scored 57, just behind the top American models GPT-5.6 Sol and Fable 5, and ahead of Claude Opus 4.8.

Bank of America told clients that Kimi proves Chinese labs can keep making big leaps even with limited chips.

And the founder of Moonshot, Yang Zhilin, learned to build AI as a researcher INSIDE Google.

Google literally wrote the 2017 paper that made all of these models possible.

Now the people who studied its work are using it to destroy Google, and handing it out for free.

What happens next:

Kimi K3's weights go public on July 27.

Google reports earnings on July 22, and everyone will be asking the same question about Gemini.

If free models keep topping the charts, every valuation built on paid AI access has to be rewritten.

What do you think?

Big Tech is hiding $1.65 trillion in debt with the same accounting trick that destroyed Enron.

We're talking about Alphabet, Microsoft, Amazon, Meta, and Oracle. Five companies sitting inside almost every index fund and retirement account.

And the five of them are carrying around $1.65 TRILLION in debt that never shows up on their balance sheets.

That number is roughly 8x bigger than it was four years ago.

And it is larger than all the debt they actually report, which sits near $1.35 trillion.

So the debt they hide is now BIGGER than the debt they admit to.

Meta is the worst of the group. It has about $420 billion parked off its books, nearly triple what it shows investors on paper.

But where does $1.65 trillion in debt even go to disappear?

The trick is simple:

When one of these companies signs a multi-year deal to buy GPUs and servers, or leases a massive data center that has not opened yet, the accounting rules let them keep that obligation off the balance sheet until the facility actually goes live.

The money is promised. The contracts are signed. The bill is real.

It just does not count as debt yet.

They basically book the ambition today and hide the liability until later.

That makes current profit look bigger and the balance sheet look cleaner than either one really is.

And every part of it is completely legal...

Enron literally ran the same play.

It pushed its debt into vehicles that sat off the books, so the profits looked incredible while the real obligations stacked up where investors could not see them. When it finally unraveled, it became the biggest corporate collapse of its era.

Bloomberg Law said themselves that Big Tech's AI spending spree is reviving the accounting devices that destroyed Enron.

And the smart money is already nervous:

- Morgan Stanley flagged the ballooning data center leases as a major risk in an investor report
- Moody's warned that all these pre-opening lease commitments could pile pressure onto companies that look untouchable right now
- The Bank for International Settlements gave the practice its own name, they call it shadow borrowing.

When the Nikkei investigation asked all five companies to explain the numbers, every single one of them refused to comment.

So why does this matter while the market keeps ripping?

Because the whole thing only works while the data centers fill up.

Every one of these contracts assumes AI demand keeps climbing forever. The second that demand slows, the companies still owe for every leased building and every GPU order they signed. The revenue softens and the bill doesn't move.

That is the moment the hidden $1.65 trillion becomes a real problem.

And the crack almost never shows at the giants first, it shows at the edges:

One AI tenant misses a lease payment. One private credit fund writes down a data center loan. One rating agency downgrades the most exposed name in the group.

Then everyone remembers the debt was there the whole time.

For four years these companies trained investors to watch the cash pile and the profit line. But the figure that actually matters is the $1.65 trillion they moved to a page you were never meant to read - just like Enron.

Nasdaq $NDX is bouncing along the parabolic.

If the previous trendline is still valid it should provide resistance instead of support beginning tomorrow.

All volatility options expire on VIXpiration 9:00 am ET tomorrow.

U.S. military helicopters have been transported to Germany and are now conducting nighttime training operations with the UK military 🇺🇸🇩🇪🇬🇧

Chief investment officer Stephanie Link is telling you to go 'all in' on semiconductors like $MU, $NVDA after she bought 2 weeks ago... 😏

Josh Brown says "You need to be in ahead of Google (earnings), not sitting on the sidelines."

"The first major hyperscaler (Microsoft, Amazon, Google, Meta) to cut capital expenditures (capex) will likely be heavily rewarded by the stock market."

-Rich Privorotsky (Goldman Sachs) June 19, 2026

🚨Another Wildberries warehouse is burning, this time in Russia, after another Ukrainian drone strike.

This is the second Wildberries hit flagged this month. Russia's version of Amazon logistics infrastructure is now a repeat target, not a one off.

Ukraine's long range drone campaign keeps widening past energy sites into general logistics deep inside Russian territory.