CommonFinancialSense

Wealth Manager @ Connor Gallagher | Blog | International Keynote Speaker | Featured on @foxbusiness @nasdaq @etftrends @advisorpedia

[Shruti @heyshrutimishra]

Elon just created 4,400 millionaires in a single day.

400 of them are now worth over $100 million.

These aren't VCs. They're SpaceX employees, and the list includes welders, technicians, and cafeteria staff, because for two decades the company paid every level of the workforce in stock instead of higher salaries.

Juan Hernandez immigrated from Mexico and took a $28 an hour contractor welding job in 2015. He says he didn't even know what SpaceX was. The company gave him a $10,000 equity grant and let him buy more shares through payroll deductions. That stake is now worth $880,000.

Trevor Hise's parents wanted him to take a stable job at General Electric. He picked SpaceX instead, stayed 12 years, and accumulated over 100,000 shares. At the $135 listing price that's $13.5 million. He's 37 and semiretired. His words: "The magnitude of this has been ridiculous."

The most telling detail came before the listing. Over 100 employees quietly banded together and negotiated a group wealth management deal covering up to $5 billion, because none of them had ever needed a wealth manager before.

Software IPOs have minted millionaires for 30 years. This is the first one where the money went to the factory floor.

[Tom McClellan @McClellanOsc]

The current correction in the market is merited for at least 2 reasons. One is the change to bearish seasonality, especially in the 2nd year of a presidential term. Second is the RASI +500 failure, which I discussed 2 weeks ago here: https://t.co/9E2Ao7daEa

[USMNT Only @usmntonly]

ANTONEE ROBINSON WITH AN ABSOLUTE BANGER AGAINST GERMANY.

ARE YOU SERIOUS!?!?!?!

[The Husky @Mr_Husky1]

A 24-year-old Polish tennis player arrived in Paris last week ranked 114th in the world, with no sponsors, no guaranteed income, and no certainty she could even pay for her hotel room.

She had to win three qualifying matches just to enter the French Open main draw. Prize money is only paid at the end of the tournament, so a Polish sports drink brand quietly stepped in and covered her hotel bill.

Her name is Maja Chwalinska. And today, she plays in the French Open final.

Before this tournament, she had won exactly one Grand Slam main draw match in her entire career. She had battled depression so severe that in 2021 she couldn't get out of bed. She underwent knee surgery in 2022. She spent years grinding through small tournaments across Europe just to stay afloat.

Then she arrived in Paris, won three qualifiers, and kept winning. Zheng Qinwen. Elise Mertens. Maria Sakkari. Diana Shnaider. Nine straight matches. One set dropped.

She is now the first qualifier in French Open history to reach the final. The last time a qualifier reached a Grand Slam final, it was Emma Raducanu at the 2021 US Open. Raducanu won.

By simply making the final, Chwalinska has earned more prize money than her entire career combined. The runner-up cheque alone is $1.6 million. If she wins today, she takes home $3.25 million.
One week ago she couldn't pay for her hotel room.

[Documenting ₿itcoin 📄 @DocumentingBTC]

₿REAKING: The first federal home loan in American using bitcoin was officially approved today. Joe and Amy living in Michigan, bought a new house using their bitcoin wallet as collateral for a Fannie Mae mortgage.

[Peter St Onge, Ph.D. @profstonge]

Latin America is going Trump-style Populist as Colombia's populist hits 80% odds of winning the Presidency.

Judges will try to sabotage him. As they have in Argentina, El Salvador, and Trump himself.

But voters are fed up with the incompetence.
And the corruption.

[Elon Musk @elonmusk]

SpaceX IPO info

[Nicolas Bustamante @nicbstme]

When people say data centers use millions of gallons of water, they're describing an old technology. Before, water went into evaporative cooling towers. Warm water pulled heat off the AI chips, then evaporated into the air to shed it. It was effective, but it burned through fresh water continuously, which is where the headline numbers come from today around "data centers use a massive amount of water."

The data centers we revealed at Build today don't work that way. The cooling loop is closed. Water is added once during construction and recirculates indefinitely between the servers and the chillers. No evaporation, no fresh-water resupply!

Satya put the scale in plain terms: a full year of water use is roughly what a single restaurant uses.

Keep in mind that for us, every liter and every watt is an optimization target. The economics and the environment push in the same direction!

[Eric Balchunas @EricBalchunas]

Are you sitting down? Ok good. $DRAM and $ARKK took in the most cash of any ETFs yesterday.. And a 2x Sandisk ETF nabbed the 10th spot. Do with this information what you will.. @Todd_Sohn is at Costco rn loading up on canned goods and batteries.

[Peter St Onge, Ph.D. @profstonge]

Democrats are “panicked” as Republicans redraw up to 19 seats for the Midterms.

Democrats spent 60 years drawing congressional districts like Salvador Dali on bath salts.

Now they’re horrified Republicans are fighting back.

[Charlie Bilello @charliebilello]

Insane stat: 0.1% of the accounts on Polymarket have earned 67% of the profits.

[CommonFinancialSense @commonfinsense]

4 Simple Strategies on How to Reduce Taxes and Maximize Retirement Income https://t.co/XTuVMTw8yU #roth #retire #invest

[Hedgeye @Hedgeye]

🇺🇸 U.S. Oil & Gas:

The U.S. sits on 46 billion barrels of proved crude oil reserves, with 60% of that locked in dense underground rock.

The Permian Basin, which stretches across West Texas and southeastern New Mexico, pumps out 6.6 million barrels a day on its own, more than every OPEC country except Saudi Arabia.

The U.S. is the single largest oil producer on the planet at 13.6 million barrels a day, out-producing both Russia (9.1M) and Saudi Arabia (9.3M).

On natural gas, it isn't close:

America produced a record 43.2 trillion cubic feet in 2025, roughly a quarter of the world's supply and more than Russia and Iran combined.

The U.S. sits on world-class reserves and out-produces every petrostate.

[Peter Mallouk @PeterMallouk]

The market isn’t red or blue - it’s green.
It doesn’t care about politics.
It runs on earnings, innovation, and growth.

[Matt Allen @investmattallen]

$MARA Marathon Digital just made a $1.5 BILLION AI data center acquisition that completely reshapes the company:

-Acquiring Long Ridge Energy gives MARA control of a 505 MW power plant in one of the most in-demand data center markets in the world, increases owned capacity by ~65%

-The site includes over 1,600 acres with power, land, water, fiber, fuel supply, and grid interconnection already in place

-Power is the biggest bottleneck in AI right now, and instead of building from scratch, $MARA just acquired a fully integrated platform that is extremely difficult to replicate

-Creates a premier digital infrastructure campus with over 1 GW of total potential power capacity

-Adds approximately $144M of annualized EBITDA at less than $15/MWh of all-in operating costs

-The site has already received inbound interest from multiple investment-grade AI and critical IT tenants

-Initial AI buildout expected to begin in 2027 with capacity targeted for 2028

-Multiple monetization paths including AI data centers, HPC leases, Bitcoin mining, and wholesale power generation

-This is the clearest signal yet that $MARA is no longer just a Bitcoin miner, it is becoming an energy and compute infrastructure company built for the AI era

[Michael Burry Stock Tracker ♟ @burrytracker]

The most secretive firm on Wall Street is making $11,000,000 per employee

The firm is called Jane Street and here is how they generate billions of dollars despite their trading strategy being so simple

They make a fraction of a cent per trade but do it billions of times a day

Every time you buy or sell an ETF, someone has to be on the other side of that trade. Jane Street is almost always that someone. They fill your order and pocket the difference between what you paid and what the ETF is actually worth

Timeline:

• 1999: Four traders leave Susquehanna and found Jane Street & they start by trading foreign company stocks listed on U.S. exchanges

• 2007: Become one of the largest ETF market makers in the world

• 2020: $10,600,000,000 in revenue

• 2024: $20,500,000,000 in revenue. More than Citi and Bank of America's entire trading divisions

• 2025: $39,600,000,000 in revenue. More than every bank on Wall Street combined

Jane Street has also been building one of the most aggressive AI investment portfolios including Anthropic, CoreWeave, and a dozen others

In Q3 2025, their Anthropic position made ~$830M

[Ihtesham Ali @ihtesham2005]

An MIT professor taught the same math course for 62 years, and the day he retired, students from every country on earth showed up online to watch him give his final lecture.

I opened the playlist at 2am and ended up watching three of them back to back.

His name is Gilbert Strang. The course is MIT 18.06 Linear Algebra.

Every machine learning engineer, every data scientist, every quant, every self-taught programmer who actually understands how AI works learned the math from this one man. Most of them never set foot on MIT's campus. They just opened a free playlist on YouTube and let him teach.

Here's the story almost nobody tells you.

Strang joined the MIT math faculty in 1962. He retired in 2023. That is 61 years of standing at the same chalkboard teaching the same subject to 18-year-olds.

The interesting part is what he did when MIT launched OpenCourseWare in 2002. Most professors were skeptical. They worried that putting their lectures online would make their classrooms irrelevant. Strang did not hesitate. He said his life's mission was to open mathematics to students everywhere. He filmed every lecture and gave it away.

The decision quietly changed how the world learns math.

For decades linear algebra was taught the wrong way. Professors started with abstract vector spaces and proofs about field axioms. Students drowned in the abstraction. Most never recovered. They walked out believing they were bad at math when they had simply been taught in an order that nobody's brain is built to absorb.

Strang inverted the entire curriculum.

He started with matrix multiplication. Something you can write down on paper. Something you can compute by hand. Something you can see. Then he showed his students that everything else in linear algebra eigenvectors, singular value decomposition, orthogonality, the four fundamental subspaces was just a different lens for understanding what the matrix was actually doing under the hood.

His rule was strict. If a student could not explain a concept using a concrete 3 by 3 example, that student did not actually understand the concept yet. The abstraction was supposed to come last, not first. The intuition was the foundation. The proofs were just confirmation that the intuition was correct.

The second thing Strang changed was the classroom itself. He said please and thank you to his students. Every single lecture. He paused mid-derivation to ask "am I OK?" to check if anyone was lost. He never used the word "obviously" or "trivially" because he knew exactly what those words do to a student who is one step behind. He treated 19-year-olds learning math for the first time the way he treated his own colleagues. With patience. With respect. With the assumption that they belonged in the room.

For 62 years.

The result is something that has never happened in the history of education. A single math professor became the default teacher of his subject for the entire planet.

Universities in India, China, Brazil, Nigeria, every country with a computer science department, started telling their own students to just watch Strang's lectures. The University of Illinois revised its linear algebra course to do almost no in-person lecturing. The reason was honest. The professor said they could not compete with the videos.

His final lecture was in May 2023.

The auditorium was packed with students who had never met him before. He walked to the chalkboard, taught for an hour, and at the end the entire room stood and applauded. He looked confused for a moment, like he genuinely did not understand why they were cheering. Then he smiled and waved them off and walked out.

His written comment under the YouTube video of that final lecture was four sentences long. He said teaching had been a wonderful life. He said he was grateful to everyone who saw the importance of linear algebra. He said the movement of teaching it well would continue because it was right.

That was it. No book promotion. No farewell speech. No legacy management.

The man whose teaching is the foundation of modern AI just thanked the audience and went home.

20 million views. Zero ego. The entire engine of the AI revolution sits on top of math that millions of people learned for free from one quiet professor in Cambridge.

The course is still on MIT OpenCourseWare. Every lecture, every problem set, every exam, every solution. Free.

The most important math course of the 21st century is sitting one click away from you. Most people will never open it.

[Bull Theory @BullTheoryio]

🚨 A FIRM WITH 3,500 EMPLOYEES MADE $39.6 BILLION LAST YEAR AND MOST OF IT CAME FROM MARKETS THEY ARE ALSO ACCUSED OF MANIPULATING : JANE STREET

And they just had their best year ever while facing a market manipulation fine in India and an insider trading lawsuit in the US.

JPMorgan has 316,000 employees and made $35.8 billion in trading revenue in 2025. Jane Street has 3,500 employees and made $39.6 billion. That is 90 times fewer employees making more money than the largest bank in America. Every single Jane Street employee generated $11 million in revenue last year. The average American makes $60,000 a year.

No legitimate trading firm in history has ever done this.

Now understand how they make this money.

Jane Street does not manage money for clients. They trade their own money across every market on earth and they sit on both sides of almost every trade you make. When you buy an ETF, there is a very high chance Jane Street is selling it to you. When you sell, they are buying. In 2024 alone Jane Street accounted for 41% of all bond ETF trading volume globally. They are not a participant in the market. In many markets they ARE the market.

And as a market maker they see your order before it hits the market. Jane Street paid Robinhood $61.3 million for stock order flow and $15.2 million for derivatives order flow, meaning they paid for the right to see where retail money is going before it moves prices. They know what you are buying before you buy it. They know what you are selling before you sell it. And their entire $662 billion portfolio is 87% options, instruments that make money when prices move violently in any direction.

Now look at what happened in the same year they made $39.6 billion.

In India, SEBI found that Jane Street used one entity to buy massive amounts of bank stocks at market open to push prices up while a separate entity simultaneously held short options positions that would profit when the index fell. Near expiry they dumped the stocks, the index crashed, and the options printed money. They did this across 18 documented expiry days. A whistleblower said it happened on 90 to 95% of ALL trading days. SEBI impounded $567 million. Jane Street deposited it into escrow and kept trading the next day.

In crypto, the Terraform bankruptcy administrator filed an 83-page federal lawsuit in Manhattan alleging Jane Street used inside information to front-run the $40 billion LUNA collapse. When Terraform quietly pulled $150 million from a liquidity pool with zero public notice, a wallet linked to Jane Street pulled $85 million from the same pool within 10 minutes. A Jane Street employee had interned at Terraform and ran a private group chat with insiders called "Bryce's Secret" as a back channel for information that was never made public. Jane Street allegedly avoided $200 million in losses while retail investors lost everything.

In silver, Jane Street built a $1.3 billion position in SLV, a 500x increase in a single quarter while silver was rallying to an all time high of $121. They disclosed this position only after silver crashed 50%. Nobody could see what their options book looked like on the other side of that trade. A 13F filing only shows long equity positions. The short book, the options, the full derivatives exposure, all of it invisible to regulators and the public until it is too late.

The daily 10 AM Bitcoin price slam that traders documented happening every single day, stopped only after Jane Street got publicly linked to the Terraform insider trading lawsuit.

Jane Street's $39.6 billion makes it the first non-bank institution in history to out-earn every Wall Street bank in trading revenue.

The one question nobody is asking: how much of that $39.6 billion came from trades where they already knew the outcome before everyone else did?

[Grover Norquist @GroverNorquist]

Idaho cut income taxes 7 times in 10 years. Income tax revenue doubled.

Mountain States Policy Center shows that tax cuts mean more jobs, more growth, more revenue
https://t.co/FFaDV2nUFM

[WOLF @WOLF_Financial]

ASML $ASML SELLS A SINGLE MACHINE FOR OVER $400 MILLION, AND IT TAKES 7 BOEING 747s TO DELIVER IT

It's called High NA, and it's the most advanced chipmaking machine ever built.

How it works:

• Shoots molten tin droplets at 50,000 per second, each hit by a laser that creates a plasma hotter than the sun
• The explosions emit light with a wavelength of just 13.5 nanometers (about 5 DNA strands wide)
• That light bounces off mirrors made by Zeiss that are the flattest surfaces in the world
• It projects the design of a microchip onto a silicon wafer, in a vacuum, because the light is absorbed by every known substance

Scale:

• Each machine is bigger than a double-decker bus
• Built in 4 modules across Connecticut, California, Germany, and the Netherlands
• Takes 25 trucks or 7 Boeing 747s to ship one
• Only 5 have ever been delivered
• Customers include Intel $INTC, Taiwan Semiconductor $TSM, and Samsung

Without ASML, chips from NVIDIA $NVDA, Apple $AAPL, and AMD $AMD cannot be manufactured.

"This company has that market completely cornered."

Per CNBC.