Lee

[Lee @TraderInTune]

https://t.co/ZLjrMd5RkC

[Dividendology @dividendology]

I just built one of the greatest insider buying tracker tools of all time with Perplexity Computer.

I wanted to find out one question:

Which stocks actually have a high correlation of share price appreciation and insider buying?

What Perplexity Computer built to answer this was truly amazing.

Here's what it did:

It pulled 1,301 real SEC Form 4 insider purchases across 184 S&P 500 stocks over the last 5 years.

Then it tracked what happened to each stock AFTER insiders bought, measuring forward returns, win rates, and purchase frequency.

It combined all of that into a single "Alpha Score" that ranks every stock by how reliably it goes up after insiders buy.

The results?

$COIN: 100% win rate. +187% average return after insider buys.

$ET: 100% win rate. 52 purchases. $514M in total insider buying.

$VST, $LUV, $CAT, $LLY, all 100% win rates.

73% of ALL insider purchases across the S&P 500 led to share price gains.

But it didn't stop there.

It also built:

- A live purchase feed tracking every new SEC filing
- Cluster buy detection (multiple insiders buying the same stock within 14 days)
- A sector heatmap showing where insiders are putting their money
- Top conviction buys (Berkshire's $2.1B OXY position, Musk's $1B TSLA buy)

The whole thing looks like a Bloomberg terminal. Dark theme. Real time data. Fully interactive.

I didn't write a single line of code.

I just told Perplexity Computer what I wanted, and it researched the data, ran the analysis, and built the entire dashboard from scratch.

This is the future of building things with AI.

The best part was that it created a proprietary "Alpha Score" for every stock.

This was a composite ranking from 0 to 100 that weighs four factors:

1. How often insiders bought (frequency)
2. How much money they put in (total value)
3. What percentage of buys led to gains (win rate)
4. How big those gains were (average forward return)

The higher the Alpha Score, the stronger the correlation between insider buying and share price appreciation.

It revealed insights you would've never expected.

The energy sector ended up having the highest Alpha Score, meaning insiders buying energy stocks is very correlated with energy stocks surging.

I have paid for data on insider buying in the past.

I literally built a better tool with Perplexity Computer than the insider buying tools I have been using for the last 3 years.

[Oguz Erkan @oguzerkan]

Druckenmiller once said, “Skate to where the puck is going, not where it's been.”

He is now long global equities, especially Korea, Japan and Brazil.

And global equities have just broken out of a 20 year downtrend.

Skate to where the puck is going.

$EWZ $EWJ $EWY $EEM

[Geiger Capital @Geiger_Capital]

Stan Druckenmiller’s current positions:

- LONG Korea + Japan (+ Brazil)
- LONG Copper (AI + tight supply)
- LONG Gold (geopolitics)
- SHORT Bonds

Portfolio is no longer "AI-driven". He’s bearish on the Dollar but bullish on the US economy with disinflationary growth.

[StockMarket.News @_Investinq]

Jack Dorsey just fired half his company.

Not gradually but all at once.

More than 4,000 people, gone.

And the stock didn't crash, it EXPLODED 22%.

Here's what's really going on.

Block, the company behind Cash App, Square and Afterpay, just announced the largest AI driven layoff in corporate history.

Headcount is being cut from 10,000 to under 6,000.

This was not a distress signal.

The company is profitable and the revenue is growing.

Dorsey chose this.

His exact words: "Intelligence tools have changed what it means to build and run a company."

"A significantly smaller team, using the tools we're building, can do more and do it better."

Translation: AI can do their jobs now. So they're gone.

But here's the part that should concern everyone.

Dorsey didn't stop there.

He said most companies will reach the same conclusion within a year.

"I'd rather get there honestly and on our own terms than be forced into it reactively."

He's not apologizing but he's warning.

The numbers tell the story Wall Street wanted to hear.

Block's 2026 profit guidance: up 54%.

Earnings per share projection of $3.66, crushing analyst expectations of $3.22.

Gross profit growing 18%.

The math is brutal but simple, fewer humans, more margins.

Inside the company, this has been building for months.

Block already cut 10% of staff earlier this month and 1,000 more last year.

Every remaining employee was required to use AI tools daily.

AI fluency was built into performance reviews.

If you couldn't keep up, you were next.

The internal AI platform is called "Goose."

It started as a small engineering test tool two years ago.

Now nearly every employee uses it.

Engineers are shipping 40% more code per person than they were six months ago.

That's the productivity gain that made 4,000 people expendable.

And here's the part nobody is talking about.

Days before this announcement, a research firm called Citrini published a fictional scenario:

AI tools so powerful they forced mass layoffs across America.

It rattled markets.

Then Block made it real.

Wall Street's reaction is the most dangerous signal of all.

A company fires half its people and stock rockets 22%.

Every board in America just watched that happen.

Every CEO just did the math.

Every worker should understand what that math means for them.

This is not one company's decision, this is a blueprint.

The question is no longer whether AI will replace jobs.

It's how fast.

[Ronit Pereira @CAronitpereira]

“Diversification is protection against ignorance. It makes little sense if you know what you are doing.”

- Warren Buffett. 1996.

Powerful 2 Minutes 🔥

[Morgan @morganlinton]

Whoa, it did it. @perplexity_ai Computer just one-shotted a ful-stack fund in a box.

Over 4,500 lines of code, and it works.

The goal was to build a system that could credibly run a small fund's core workflow with 1-2 humans vs. the current model which is 10 analysts on terminals.

I came up with the idea by asking what could I build with computer that would be more valuable than a $30,000/year Bloomberg terminal.

Here's a screenshot of the fully working web app.

More details below, in what I think my might be the world's first Perplexity Computer Thread 🧵

[Investment Wisdom @InvestingCanons]

“The best way to get what you want in life is to deserve what you want. If you apply that to business, that means you really take care of the customers.”

— Charlie Munger

[Kevin Carpenter @kejca]

Warren Buffett: "I would ask anybody to challenge me on whether being kind can hurt them in any way — and whether the net happiness of the world wouldn't be better if every morning they said to themselves, 'I'll have things that are good and bad that happen to me today, but I can be kind to everybody.'"

[TheGladiator @TheGladiatorHC]

The King of Copper, Robert Friedland, full presentation at the Future Minerals Forum titled 'The dawn of the copper age'

"It's very clear that the copper
price must double to meet future mining
needs."

If the Copper Price doubles, Copper stocks will 10X.

[Naruto @NarutoNolimits]

Charlie Munger: "I don't waste time feeling like a victim."

[Kevin Carpenter @kejca]

Charlie Munger: "You have to learn to change your mind when you're wrong."

"Being able to recognize when you're wrong is a godsend. A good bit of the Munger fortune came from liquidating things we originally purchased because we were wrong."

[Grey @jgreyfriend]

In 2021, Stanley Druckenmiller explained how he compounded at 30% for 30 years straight.

He broke down why:
- Winning isn���t about being right
- Markets reward puzzle-solvers
- Entitlements threaten youth

12 lessons from Druckenmiller on markets, risk and the future of America:

[Quant Science @quantscience_]

Some guy made a quant trading system that uses AI, real-time data processing, and risk management.

Then open sourced it for free in Python.

Here it is:

[Simplifying AI @simplifyinAI]

hedge funds literally pay millions for high frequency trading infrastructure..

you can now run the exact same thing for $0.

hummingbot is a 100% open source trading software that just crossed $34 billion in volume.

market making. cross-exchange arbitrage. 140+ exchange

[Steve Burns @SJosephBurns]

Warren Buffett:

"Your future is your future — and you can't expect anybody else to do it."

"The most important thing to do if you find yourself in a hole is to stop digging."

[Kevin Carpenter @kejca]

Warren Buffett: "I do not know what the stock market will do and I do not know what business will do."

"I tried it all — I did charts and all kinds of things. I was looking for [an answer], but it turned out I was looking for something that in my opinion does not exist."

[Trader Theory @tradertheory]

Yale Economics lecture:

"If you're autistic, be a trader."

[Ethan Kho @ethanrkho]

Ex-Global Trading & Risk Director at Cargill on how edge is formed in commodities markets

Kristine Engman spent 20+ years at Cargill—one of America's largest agriculture conglomerates—trading billions in physical & financial commodities across energy & agriculture.

"Edge in commodities? It's a lot about relationships. The intel you get through those relationships—that's information not readily accessible to the rest of the marketplace that can give you an edge."

We cover:
- How edge actually works in commodities—relationships, capital access & information arbitrage
- Why you can trade on "insider information" in commodities (unlike equities)
- Managing physical risk—forecast accuracy, weather shocks & transportation nightmares
- The negative power trade—selling electricity below zero & getting hauled into the boss's office
- Why Cargill traders performed best when equities markets performed worst
- Quantitative (and even technical) vs fundamental trading styles—finding what works & sticking to it
- The Ukraine war position—going extended limit long before the invasion
- Life lessons from trading—"have your house in order" & taking risks with incomplete information

Timestamps:
00:00 Intro
01:15 Edge in commodities trading? Relationships, capital, information
04:40 Commodities market efficiency, information flows, and AI
08:32 Hedge funds vs. ABCDs, commodity trading strategies
13:34 When commodities outperform equities, the 2022 boom
17:45 Headline risk, social media impact on markets
19:08 Risk management strategies in physical commodities trading
26:14 Probability, forecasting, and scenarios for trading decisions
31:00 What makes a great commodities trader today
37:53 Contrarian trading strategies, alpha generation in commodities
42:24 Russia–Ukraine war impact on commodity markets, trading
45:35 Life and career lessons from commodities trading
51:30 Careers, uncertainty, and learning in commodities markets

[Kevin Carpenter @kejca]

Warren Buffett: "You should be very forgiving of yourself — but not totally forgiving of yourself."

"There is no sense looking back and saying, 'If I had done this, if I had done that...' Just forget it. It is history. You can't change it, [but] you can change your behavior going forward."