Igor

the deals that built modern wealth - one every morning

[Ember @Emberxbt]

In 2013 a Wall Street quant walked into an MIT classroom and derived, on camera, the one equation his industry uses to price every option you will ever be sold.

It does not care whether the stock rises or falls. It ignores your opinion. It still hands the seller the exact price of your bet before it settles.

MIT charges $66,720 a year to sit in that room. The same lecture, same instructor, has been free on MIT OpenCourseWare for a decade.

His name is Vasily Strela, a derivatives quant at Morgan Stanley, JP Morgan and RBC Capital Markets who did his doctorate at MIT under Gilbert Strang.

The full lecture in this video is Strela at the chalkboard, building the formula from a two-horse bet up to the closed-form price of a call.

Structured notes. Americans buy $48 billion of them a year, and research finds buyers pay near 7 percent annually in fees on products marked up near 6 percent at issue. Each is priced with this formula.

Order flow. In one quarter of 2021 the five biggest brokers made $587 million selling retail options order flow, more than on stocks. That gap is the space between this formula's fair price and your actual fill.

Drift is irrelevant. The lecture proves an option's price ignores whether the stock rises or falls. Only volatility and the rate move it. Every "buy calls, this runs tomorrow" pitch rests on the input the formula deletes.

Volatility. Four inputs are public: price, strike, time, rate. The fifth, volatility, is the only number the seller picks, and it is where the markup on every option, note and buffered ETF hides.

Quant funds start new researchers who can derive this at $200,000 to $400,000 in year one. Top firms go past $650,000.

"Markets look a lot less efficient from the banks of the Hudson than the banks of the Charles."

That is Fischer Black, who co-wrote this equation, on why he left MIT for Goldman Sachs.

The full derivation is free on MIT OpenCourseWare. A seat in the room it was filmed in costs $66,720 a year.

Millions can open this lecture. Almost no one who buys an option has watched a minute of it.

The formula has been free for a decade. The willingness to sit through the whole derivation before buying a call is rarer than the nerve to buy without it.

[Igor @Igorib1h]

In 1991 a Xerox regional office in Atlanta had a problem.

Their top salesperson was doing $4.2 million a year. Their second best was doing $800,000. Everyone else was below $400,000.

Same products. Same territory split. Same commission structure. Same manager.

The VP of sales flew in and spent three days trying to understand what the top performer was doing differently. He watched him make calls. Sat in on meetings. Reviewed his pipeline.

He couldn't find it. The guy didn't seem to work harder. Didn't seem smarter. Didn't have better accounts.

Then he watched him walk into a cold meeting with a procurement director who had already said no twice.

He didn't pitch. He didn't present. He sat down, opened a notebook, and said one sentence.

Before I show you anything, I'd like to ask you a few questions about what's actually slowing your team down.

Forty minutes later he had a $340,000 deal.

The VP flew home and hired Brian Tracy.

Tracy had spent 25 years studying exactly what that salesperson did instinctively. He had walked into rooms where every single person on straight commission was making over a quarter million dollars a year. Most of them were making over a million.

He interviewed them all. Studied every pattern. Spent thousands of hours finding what separated the top 10% from everyone else.

His conclusion was not what most people expected.

80% of sales success is psychological. 20% is technical.

Most companies do only technical training. 70% of companies do no sales training at all. They hand people a brochure and say good luck.

The Xerox salesperson in Atlanta was not smarter. He had simply figured out one thing that most salespeople never figure out.

He did not see himself as a salesperson.

Do customers like salespeople? No. Because salespeople represent someone who is going to fast-talk and maneuver and sell them something they don't need with money they don't have.

Do customers like consultants? Always. Because a consultant walks in with one question. What is your problem and how can I help you solve it.

Within 30 seconds of meeting a prospect the prospect knows which one they're dealing with. Tracy said there is no way to fake this. The way you see yourself determines how you walk, talk, ask questions and listen. The customer feels it before you open your mouth.

Top salespeople also see themselves as doctors of selling.

Doctors never skip steps. Examination. Diagnosis. Prescription. In that order. Every time.

A doctor who prescribes before diagnosing is committing malpractice. A salesperson who presents before understanding the problem is committing exactly the same thing. Except the customer just calls it a reason not to buy.

The new model of selling is an upside-down triangle.

40% of the sale is building trust. 30% is identifying the problem. 20% is presenting the solution. 10% is closing.

The old model had it reversed. 40% closing. That's why it stopped working.

He asked thousands of customers across his career to describe their favorite salespeople in one word.

The number one answer across every industry was the same.

Nice.

Not smart. Not aggressive. Not persuasive. Nice.

When he asked what they meant they said positive, easy to talk to, trustworthy. I like them. I feel good when they walk in.

He said everything you do with a customer adds to or takes away from that feeling. Nothing is neutral. Everything counts.

The Xerox salesperson in Atlanta retired at 51. The VP who hired Tracy said it was the best $40,000 the company ever spent.

Tracy recorded the full seminar in the early 1990s. Free on YouTube. Just over an hour.

Almost nobody outside of professional sales has watched it as a complete explanation of why two people in the same office with the same product end up in completely different income brackets for their entire careers.

[Igor @Igorib1h]

In 1991 a Xerox regional office in Atlanta had a problem.

Their top salesperson was doing $4.2 million a year. Their second best was doing $800,000. Everyone else was below $400,000.

Same products. Same territory split. Same commission structure. Same manager.

The VP of sales flew in and spent three days trying to understand what the top performer was doing differently. He watched him make calls. Sat in on meetings. Reviewed his pipeline.

He couldn't find it. The guy didn't seem to work harder. Didn't seem smarter. Didn't have better accounts.

Then he watched him walk into a cold meeting with a procurement director who had already said no twice.

He didn't pitch. He didn't present. He sat down, opened a notebook, and said one sentence.

Before I show you anything, I'd like to ask you a few questions about what's actually slowing your team down.

Forty minutes later he had a $340,000 deal.

The VP flew home and hired Brian Tracy.

Tracy had spent 25 years studying exactly what that salesperson did instinctively. He had walked into rooms where every single person on straight commission was making over a quarter million dollars a year. Most of them were making over a million.

He interviewed them all. Studied every pattern. Spent thousands of hours finding what separated the top 10% from everyone else.

His conclusion was not what most people expected.

80% of sales success is psychological. 20% is technical.

Most companies do only technical training. 70% of companies do no sales training at all. They hand people a brochure and say good luck.

The Xerox salesperson in Atlanta was not smarter. He had simply figured out one thing that most salespeople never figure out.

He did not see himself as a salesperson.

Do customers like salespeople? No. Because salespeople represent someone who is going to fast-talk and maneuver and sell them something they don't need with money they don't have.

Do customers like consultants? Always. Because a consultant walks in with one question. What is your problem and how can I help you solve it.

Within 30 seconds of meeting a prospect the prospect knows which one they're dealing with. Tracy said there is no way to fake this. The way you see yourself determines how you walk, talk, ask questions and listen. The customer feels it before you open your mouth.

Top salespeople also see themselves as doctors of selling.

Doctors never skip steps. Examination. Diagnosis. Prescription. In that order. Every time.

A doctor who prescribes before diagnosing is committing malpractice. A salesperson who presents before understanding the problem is committing exactly the same thing. Except the customer just calls it a reason not to buy.

The new model of selling is an upside-down triangle.

40% of the sale is building trust. 30% is identifying the problem. 20% is presenting the solution. 10% is closing.

The old model had it reversed. 40% closing. That's why it stopped working.

He asked thousands of customers across his career to describe their favorite salespeople in one word.

The number one answer across every industry was the same.

Nice.

Not smart. Not aggressive. Not persuasive. Nice.

When he asked what they meant they said positive, easy to talk to, trustworthy. I like them. I feel good when they walk in.

He said everything you do with a customer adds to or takes away from that feeling. Nothing is neutral. Everything counts.

The Xerox salesperson in Atlanta retired at 51. The VP who hired Tracy said it was the best $40,000 the company ever spent.

Tracy recorded the full seminar in the early 1990s. Free on YouTube. Just over an hour.

Almost nobody outside of professional sales has watched it as a complete explanation of why two people in the same office with the same product end up in completely different income brackets for their entire careers.

[Superior @andreysuperior]

https://t.co/rUN1cPDY65

[Igor @Igorib1h]

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.

[Igor @Igorib1h]

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.

[Superior @andreysuperior]

https://t.co/rUN1cPDY65

[Igor @Igorib1h]

@Rodaskavich But the way this is written feels deliberately dense — like you have to learn Swahili first just to reread the same paragraph three times. Most people bounce off that wall long before they reach the actual formula.

[Igor @Igorib1h]

The head of MIT's economics department accidentally destroyed the financial advisor industry in a ninety-minute lecture that derives, on one board, the exact formula every $500,000-a-year Wall Street analyst charges their firm to pretend they know.

MIT charges $87,000 a year to sit in that classroom.

He posted the entire lecture online for nothing.

Millions have opened it. Almost no one paying an advisor 1 percent of their retirement account has watched it to the end.

His name is Ricardo Caballero. He is the head of the MIT Department of Economics, one of the economists the Federal Reserve consulted through the 2008 crisis, and the researcher whose "safe asset shortage" theory explains why global interest rates sat near zero for a decade.

The 90-minute clip in this video is Lecture 19 of his 2023 MIT course. Caballero is teaching a room of undergraduates the equation that decides whether your 401k grows or shrinks over the next thirty years.

The formula on the slide behind him looks like a textbook fraction. It is the exact math that decides whether Apple is worth $3 trillion or $1 trillion, whether the 30-year Treasury pays 3 percent or 6 percent, and whether the house you were about to buy is fairly priced or fifty percent overpriced.

Caballero walks through the entire mathematical foundation of pricing anything with future cash flows in one hour.

Present discounted value. A dollar you will receive next year is worth less than a dollar today. How much less depends on one number: the interest rate. Move that rate by one point and the value of a thirty-year bond moves twenty percent. Almost nobody buying a bond fund knows this.

Expected present value. Nobody actually knows what a company will pay in dividends in ten years. You use your best guess and discount it. Every earnings estimate on CNBC is one guess plugged into this formula and dressed up as analysis.

Bond yields. The interest rate on a ten-year Treasury is not a policy choice. It is the number that makes the price of the bond equal to the present value of every future coupon. In 2022 that math wiped out $6 trillion of American retirement savings in a single year and almost no 401k holder ever heard the phrase.

Stock prices by arbitrage. A stock must return the same as a bond plus a risk premium. Everything else is noise. Apple's $3 trillion market cap is one equation with three inputs: expected dividends, the risk-free rate, and the equity premium. That is the whole game.

Real vs nominal. Every price you calculate can be measured in dollars or in inflation-adjusted dollars. Getting this wrong turns a 7 percent return into a 3 percent return. It is the reason a "5 percent CD" during 4 percent inflation is a 1 percent gift to the bank.

Every hedge fund on Wall Street pays entry-level analysts $250,000 to memorize this equation.

[Superior @andreysuperior]

https://t.co/rUN1cPDY65

[Igor @Igorib1h]

@colon4893 As of August 21, 2026, Apple’s market capitalization is approximately $4.51–4.54 trillion.
The stock is trading around $309–311, with roughly 14.59 billion shares outstanding.

[Igor @Igorib1h]

The head of MIT's economics department accidentally destroyed the financial advisor industry in a ninety-minute lecture that derives, on one board, the exact formula every $500,000-a-year Wall Street analyst charges their firm to pretend they know.

MIT charges $87,000 a year to sit in that classroom.

He posted the entire lecture online for nothing.

Millions have opened it. Almost no one paying an advisor 1 percent of their retirement account has watched it to the end.

His name is Ricardo Caballero. He is the head of the MIT Department of Economics, one of the economists the Federal Reserve consulted through the 2008 crisis, and the researcher whose "safe asset shortage" theory explains why global interest rates sat near zero for a decade.

The 90-minute clip in this video is Lecture 19 of his 2023 MIT course. Caballero is teaching a room of undergraduates the equation that decides whether your 401k grows or shrinks over the next thirty years.

The formula on the slide behind him looks like a textbook fraction. It is the exact math that decides whether Apple is worth $3 trillion or $1 trillion, whether the 30-year Treasury pays 3 percent or 6 percent, and whether the house you were about to buy is fairly priced or fifty percent overpriced.

Caballero walks through the entire mathematical foundation of pricing anything with future cash flows in one hour.

Present discounted value. A dollar you will receive next year is worth less than a dollar today. How much less depends on one number: the interest rate. Move that rate by one point and the value of a thirty-year bond moves twenty percent. Almost nobody buying a bond fund knows this.

Expected present value. Nobody actually knows what a company will pay in dividends in ten years. You use your best guess and discount it. Every earnings estimate on CNBC is one guess plugged into this formula and dressed up as analysis.

Bond yields. The interest rate on a ten-year Treasury is not a policy choice. It is the number that makes the price of the bond equal to the present value of every future coupon. In 2022 that math wiped out $6 trillion of American retirement savings in a single year and almost no 401k holder ever heard the phrase.

Stock prices by arbitrage. A stock must return the same as a bond plus a risk premium. Everything else is noise. Apple's $3 trillion market cap is one equation with three inputs: expected dividends, the risk-free rate, and the equity premium. That is the whole game.

Real vs nominal. Every price you calculate can be measured in dollars or in inflation-adjusted dollars. Getting this wrong turns a 7 percent return into a 3 percent return. It is the reason a "5 percent CD" during 4 percent inflation is a 1 percent gift to the bank.

Every hedge fund on Wall Street pays entry-level analysts $250,000 to memorize this equation.

[Igor @Igorib1h]

@0xzlato He finished the year up over 300% — and walked away at 38.

[Igor @Igorib1h]

@HeyRohhit The entire MIT course is free on YouTube since 2008.

[Igor @Igorib1h]

@Ryomenex $20 on the table.

[Igor @Igorib1h]

Conclusion: Education as an Existential Threat to Corporate Models
Has this free MIT course literally bankrupt the sports betting industry?

marketed as low-risk, astronomical-reward opportunities—the chance to turn a $10 bill into $1,000 by predicting an

The Attention Paradox: Why 12 Lectures Remain Unwatched
The supreme irony of the OpenCourseWare phenomenon lies in the psychology of the modern internet consumer. The barrier to entry has been lowered to zero; the knowledge is free, public, and highly praised.

The Quantitative Mechanics: Dive deeper into specific formulas, game theory concepts, and expected value calculations.
The Behavioral Psychology: Analyze the specific cognitive biases (like the gambler's fallacy or hot-hand fallacy) that sportsbooks exploit.

The Corporate Economics: Focus on the financial metrics of modern sportsbooks and how they structure data pipelines to stay ahead of the public.

To help expand this essay further, let me know which aspect you would like to elaborate on:

of it. The 12-lecture course stands as a modern parable: while elite, life-changing knowledge is more accessible than at any point in human history, intellectual inertia and the pursuit of quick dopamine remain the ultimate backbones of the global gambling economy.

Yet, the drop-off rate from Lecture 1 to Lecture 12 is near-absolute.
Our current era is defined by an acute attention deficit and a craving for instant gratification. Mobile sports betting apps are masterfully engineered dopamine delivery systems. Opening an app, selecting a pre-packaged parlay, and tapping "Place Bet" yields an immediate hit of excitement and chemical reward.
Conversely, completing a 12-lecture university course requires:

Through the lens of MIT-level mathematics, these parlays are essentially a wealth-transfer mechanism from the uneducated to the sportsbook.

[Igor @Igorib1h]

@Holden_Culotta Probability of guessing that: “1/10,000th of 1%.”

[Igor @Igorib1h]

Conclusion: Education as an Existential Threat to Corporate Models
Has this free MIT course literally bankrupt the sports betting industry?

marketed as low-risk, astronomical-reward opportunities—the chance to turn a $10 bill into $1,000 by predicting an

The Attention Paradox: Why 12 Lectures Remain Unwatched
The supreme irony of the OpenCourseWare phenomenon lies in the psychology of the modern internet consumer. The barrier to entry has been lowered to zero; the knowledge is free, public, and highly praised.

The Quantitative Mechanics: Dive deeper into specific formulas, game theory concepts, and expected value calculations.
The Behavioral Psychology: Analyze the specific cognitive biases (like the gambler's fallacy or hot-hand fallacy) that sportsbooks exploit.

The Corporate Economics: Focus on the financial metrics of modern sportsbooks and how they structure data pipelines to stay ahead of the public.

To help expand this essay further, let me know which aspect you would like to elaborate on:

of it. The 12-lecture course stands as a modern parable: while elite, life-changing knowledge is more accessible than at any point in human history, intellectual inertia and the pursuit of quick dopamine remain the ultimate backbones of the global gambling economy.

Yet, the drop-off rate from Lecture 1 to Lecture 12 is near-absolute.
Our current era is defined by an acute attention deficit and a craving for instant gratification. Mobile sports betting apps are masterfully engineered dopamine delivery systems. Opening an app, selecting a pre-packaged parlay, and tapping "Place Bet" yields an immediate hit of excitement and chemical reward.
Conversely, completing a 12-lecture university course requires:

Through the lens of MIT-level mathematics, these parlays are essentially a wealth-transfer mechanism from the uneducated to the sportsbook.

[Veles @velesxbt]

https://t.co/YoNbtFby2V

[stiv.sol @st1v_sol]

Jesse Livermore made $100 million in a single trade. then he lost it, and himself.

by october 1929 he had already made and lost three fortunes. the “boy plunger” started at 14, copying stock quotes onto a chalkboard at a boston brokerage, and by 22 he’d been banned from every bucket shop in new england for winning too consistently.

in the summer of 1929, while the Dow sat near 381 and the public borrowed $8.5B on margin to chase it higher, livermore built a short position. quietly. against the advice of nearly everyone around him.

black monday hits october 28th. the Dow drops 13% in a day. black tuesday follows - another 12%. livermore is on the other side of the panic. by the time the dust settles, his short nets him roughly $100 million, something north of $1.7 billion today.

he went home that night and told his wife, simply, they’d never have to worry about money again.

“there is nothing new in wall street,” he wrote. “there can’t be because speculation is as old as the hills.”

five years later, 1934: bankrupt for the fourth time. assets of $84,000 against debts of $2.5 million. the strategies that made him a legend in a panic didn’t survive a slow bleed.

on november 28, 1940, he checked into the sherry-netherland, wrote eight pages to his wife ending “i am a failure,” and ended his own life. he was 63.

livermore didn’t lose to the market. he lost to himself, repeatedly, and the market just kept score.

[Igor @Igorib1h]

@mak_aura One child is being shown the world.

[Igor @Igorib1h]

@0chob The number lied for 300 years.

[Igor @Igorib1h]

Algorithms vs. Impulse: How an MIT OpenCourseWare Masterclass Exposed the Illusion of Modern Sports Betting

$85,000 a year to access. Yet, the ultimate paradox remains: despite racking up millions of views, almost no one placing a same-game parlay on apps like DraftKings will ever finish all twelve lectures.

In the digital age, the boundary between entertainment, intellectual discipline, and financial ruin has become razor-thin. The provocative claim that an MIT professor "accidentally destroyed the American sports betting industry" via a free 12-lecture undergraduate poker course cuts to the heart of a deep systemic conflict. It

$85,000 Knowledge for Free: The Radical Democratization of Game Theory
MIT does not approach poker, blackjack, or sports forecasting as avenues for quick casino wealth. Instead, the institution treats them as perfect sandboxes for studying applied probability, expected value (EV), game theory, and risk management under conditions of incomplete information.

The staggering cost of an MIT education reflects more than just the information delivered; it prices in institutional prestige, elite networking, and career gatekeeping.

This course poses a conceptual threat to sportsbooks not because it teaches people how to "cheat," but because it strips away the emotional mystique of randomness. A person who genuinely understands mathematical expectation, variance, and the Kelly Criterion will look at a betting board with clinical detachment rather than emotional optimism.

[Igor @Igorib1h]

@GaricBoss555 Yes, mainly 15.S50 Poker Theory and Analytics (IAP 2015). There’s also the 2016 version ‘How to Win at Texas Hold’em Poker’. Both are free on MIT OpenCourseWare.

[Igor @Igorib1h]

Algorithms vs. Impulse: How an MIT OpenCourseWare Masterclass Exposed the Illusion of Modern Sports Betting

$85,000 a year to access. Yet, the ultimate paradox remains: despite racking up millions of views, almost no one placing a same-game parlay on apps like DraftKings will ever finish all twelve lectures.

In the digital age, the boundary between entertainment, intellectual discipline, and financial ruin has become razor-thin. The provocative claim that an MIT professor "accidentally destroyed the American sports betting industry" via a free 12-lecture undergraduate poker course cuts to the heart of a deep systemic conflict. It

$85,000 Knowledge for Free: The Radical Democratization of Game Theory
MIT does not approach poker, blackjack, or sports forecasting as avenues for quick casino wealth. Instead, the institution treats them as perfect sandboxes for studying applied probability, expected value (EV), game theory, and risk management under conditions of incomplete information.

The staggering cost of an MIT education reflects more than just the information delivered; it prices in institutional prestige, elite networking, and career gatekeeping.

This course poses a conceptual threat to sportsbooks not because it teaches people how to "cheat," but because it strips away the emotional mystique of randomness. A person who genuinely understands mathematical expectation, variance, and the Kelly Criterion will look at a betting board with clinical detachment rather than emotional optimism.

[Superior @andreysuperior]

https://t.co/rUN1cPDY65