Darvin

finance | math | systems

[Darvin @darvinxq]

@verumxbt the risk meetings disappearing might be the most important detail here, $500 billion of exposure became a much bigger problem once nobody was forced to look at the whole picture

[Darvin @darvinxq]

@veraxlab The term matters almost as much as the rate, a lower rate can still cost you more if you give the loan another decade to collect interest.

[Darvin @darvinxq]

@Pixel_Neuron turning market sentiment into a $0.56 breakfast range might be the cheapest risk indicator on Wall Street

[Darvin @darvinxq]

@MadCrash_X having the method and actually having the conviction to use it are two completely different things

[Darvin @darvinxq]

A hedge fund returned 50% a year for ten years straight. In 2005 the man who ran it sat on a desk at Columbia and taught the entire method to 30 students for free. No bank, no fund, no business school has ever promoted the recording.

His name is Joel Greenblatt. He ran Gotham Capital from 1985 to 1994. Almost nobody sustains 50% annually for a single year. He did it for ten. Then in 1995 he returned all outside capital, kept running his own money, and walked into a classroom.

The first lecture is about corners of the market where the usual buyers are structurally forced to sell regardless of price. Spinoffs, restructurings, situations where an index fund must dump a stock the day it leaves the index. He does not teach a screener or a formula. He teaches why these corners exist at all, and why they keep existing after everybody knows about them.

The uncomfortable part is what he says about diversification. He held very few positions. It runs directly against everything the business school teaches two floors down. Columbia charges $80K a year in tuition. The man upstairs gave away the method for free.

Every screener is free now. Every filing is searchable. The constraint was never information. It was knowing which information to ignore.

Filmed from the back row, audio uneven, students blocking the frame. He gave away 50% a year to a room of 30 people. Almost nobody traded on it.

One classroom. One camera. The full lecture is free. It is in the video.

[Darvin @darvinxq]

@vexelxbt exactly!

[Darvin @darvinxq]

@veraxlab forced sellers create a very different opportunity than simply betting the market is wrong

[Darvin @darvinxq]

A hedge fund returned 50% a year for ten years straight. In 2005 the man who ran it sat on a desk at Columbia and taught the entire method to 30 students for free. No bank, no fund, no business school has ever promoted the recording.

His name is Joel Greenblatt. He ran Gotham Capital from 1985 to 1994. Almost nobody sustains 50% annually for a single year. He did it for ten. Then in 1995 he returned all outside capital, kept running his own money, and walked into a classroom.

The first lecture is about corners of the market where the usual buyers are structurally forced to sell regardless of price. Spinoffs, restructurings, situations where an index fund must dump a stock the day it leaves the index. He does not teach a screener or a formula. He teaches why these corners exist at all, and why they keep existing after everybody knows about them.

The uncomfortable part is what he says about diversification. He held very few positions. It runs directly against everything the business school teaches two floors down. Columbia charges $80K a year in tuition. The man upstairs gave away the method for free.

Every screener is free now. Every filing is searchable. The constraint was never information. It was knowing which information to ignore.

Filmed from the back row, audio uneven, students blocking the frame. He gave away 50% a year to a room of 30 people. Almost nobody traded on it.

One classroom. One camera. The full lecture is free. It is in the video.

[Darvin @darvinxq]

@veraxlab The best move is to put a little extra toward the principal every month, even if it’s only $5 or $20. Keep the old car, skip the new payment, and send that money to the mortgage instead. Done consistently, it can cut years off a 30-year loan.

[Darvin @darvinxq]

@verumxbt the best market makers aren’t paid for knowing the answer, they’re paid for building a book that doesn’t need one

[Darvin @darvinxq]

Two horses. One has a 20% chance of winning, the other 80%. A bookie knows the real odds. The crowd doesn't. $10,000 lands on one horse, $50,000 on the other.

Inside an MIT classroom, a professor asks one question: how does the bookie guarantee he never loses?

He ignores what he knows. Sets the odds not by probability but by how the money fell. Five to one, matching the market.

First horse wins, he pays $60,000 and collected $60,000. Second horse wins, same thing. Zero exposure. Fee on top. Riskless profit.

That's not gambling. That's pricing.

The same math prices every option contract on Wall Street. Black-Scholes, replicating portfolios, hedging. It starts with one insight: you don't need to predict the future. You structure the trade so the future doesn't matter.

The professor builds it step by step. Take any derivative. Find a combination of stock and cash that replicates the pay-off exactly. Hold both sides. Risk cancels. You keep the spread.

He pulls up Bloomberg with IBM call options and shows it in real numbers. Prices a digital option using nothing but two calls at different strikes. No model needed. Just replication.

Traders do this thousands of times a day. Enter a contract, hedge it on the exchange, walk away with a fee. No opinion on direction. Just structure.

The entire derivatives market works this way. Not prediction. Replication.

The people who understood that distinction first built the biggest fortunes in finance.

[Darvin @darvinxq]

@0xkemu IBM example makes it obvious why traders care so much about replication

[Darvin @darvinxq]

@vexelxbt getting paid without needing the prediction to be right is a much better business

[Darvin @darvinxq]

@veraxlab once the payouts match the money coming in, the bookie can stop caring about the race

[Darvin @darvinxq]

@0xRazex that’s where trading starts looking more like engineering

[Darvin @darvinxq]

@HeroOkMan incredible article bro, saved

[Darvin @darvinxq]

Two horses. One has a 20% chance of winning, the other 80%. A bookie knows the real odds. The crowd doesn't. $10,000 lands on one horse, $50,000 on the other.

Inside an MIT classroom, a professor asks one question: how does the bookie guarantee he never loses?

He ignores what he knows. Sets the odds not by probability but by how the money fell. Five to one, matching the market.

First horse wins, he pays $60,000 and collected $60,000. Second horse wins, same thing. Zero exposure. Fee on top. Riskless profit.

That's not gambling. That's pricing.

The same math prices every option contract on Wall Street. Black-Scholes, replicating portfolios, hedging. It starts with one insight: you don't need to predict the future. You structure the trade so the future doesn't matter.

The professor builds it step by step. Take any derivative. Find a combination of stock and cash that replicates the pay-off exactly. Hold both sides. Risk cancels. You keep the spread.

He pulls up Bloomberg with IBM call options and shows it in real numbers. Prices a digital option using nothing but two calls at different strikes. No model needed. Just replication.

Traders do this thousands of times a day. Enter a contract, hedge it on the exchange, walk away with a fee. No opinion on direction. Just structure.

The entire derivatives market works this way. Not prediction. Replication.

The people who understood that distinction first built the biggest fortunes in finance.

[Darvin @darvinxq]

@veraxlab 25x leverage turned a temporary pricing error into a permanent loss for the people who found it

[Darvin @darvinxq]

@verumxbt fair correction, the positive EV is still there, the point is that maximizing expected dollars and maximizing utility aren’t the same decision

[Darvin @darvinxq]

An MIT professor offered his class a coin flip: win $125 or lose $100. Most students said no. Then he proved refusing was the smart move, and it explains why you're bad with money.

The bet looks great on paper. Flip a coin, win $125 or lose $100. On average, you make money. Economists call that a more than fair bet. Most of the room still wanted nothing to do with it.

They weren't being dumb. Their answer actually made sense.

Here's why. You don't experience money as numbers on a spreadsheet. What matters is what that money does for you. Losing $100 you already have can hurt more than gaining another $125 helps.

Then he changed the question. Imagine you were forced to take the bet unless you paid to escape it. How much would you give up? Using the standard math, the answer came out to $43. People would rather lose $43 for certain than face a bet that's actually tilted in their favor.

That's risk aversion. The value of gaining money and the pain of losing it aren't perfectly symmetrical.

And it's part of the reason insurance exists. You accept a small guaranteed cost today to remove the possibility of a much bigger loss tomorrow, even when that loss is statistically unlikely.

Once you see it, you notice it everywhere. Insurance premiums, warranties, bets you refuse. Sometimes you're not paying for better odds. You're paying to remove an outcome you can't afford.

[Darvin @darvinxq]

@vexelxbt yeah, the size of the bankroll changes the decision even when the odds stay exactly the same