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nobody making $380k at a quant desk has any reason to write you a roadmap that's not cynicism - that's incentive structure wall street banks have PR teams pushing the "break into finance" pipeline. quant firms don't recruit that way, don't advertise, don't need to the filter has nothing...

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Livsun

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20,826 görüntüleme • 1 ay önce •via X (Twitter)

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jane street paid a 23yo $250k last year didn't come from a target school didn't have a finance degree knew exactly what the interview was going to test while his classmates were grinding campus recruiting, he was drilling probability problems at 2am that's what nobody tells you about quant finance - the interview has nothing to do with traditional finance citadel wants to know how fast your brain handles expected value under pressure. they don't care about your DCF model 6 categories: >probability, >mental math, >statistics, >logic puzzles, >coding, >market microstructure zero to interview-ready in under a year if you actually know what to study most people apply without knowing any of this. screened out in round 1, assume they weren't smart enough the firms aren't looking for the smartest Bookmark it or will lose all potential they're looking for the most prepared
1:28

jane street paid a 23yo $250k last year didn't come from a target school didn't have a finance degree knew exactly what the interview was going to test while his classmates were grinding campus recruiting, he was drilling probability problems at 2am that's what nobody tells you about quant finance - the interview has nothing to do with traditional finance citadel wants to know how fast your brain handles expected value under pressure. they don't care about your DCF model 6 categories: >probability, >mental math, >statistics, >logic puzzles, >coding, >market microstructure zero to interview-ready in under a year if you actually know what to study most people apply without knowing any of this. screened out in round 1, assume they weren't smart enough the firms aren't looking for the smartest Bookmark it or will lose all potential they're looking for the most prepared

Livsun

39,087 görüntüleme • 2 ay önce

the finance kids everyone envied in college made $120k at goldman the quiet math kids nobody noticed made $650k at firms most people can't name jane street. citadel. two sigma. d.e. shaw they don't recruit from linkedin. they recruit from math olympiads and competitive programming leaderboards the filter is 4 things: probability, coding, mental math, game theory same problems recycled every year, same structure every round the prep path is documented, free, and takes 8 months a kid from a state school who grinds this for 8 months has beaten ivy leaguers who showed up unprepared - credential matters less than the pattern recognition most people spend 3 years trying to break into banking for $120k the people who looked one level up spent 8 months and landed 5x the salary the information to do this has existed for years Bookmark this and upgrade your brain the gap isn't talent it's that nobody told you where to look
4:33

the finance kids everyone envied in college made $120k at goldman the quiet math kids nobody noticed made $650k at firms most people can't name jane street. citadel. two sigma. d.e. shaw they don't recruit from linkedin. they recruit from math olympiads and competitive programming leaderboards the filter is 4 things: probability, coding, mental math, game theory same problems recycled every year, same structure every round the prep path is documented, free, and takes 8 months a kid from a state school who grinds this for 8 months has beaten ivy leaguers who showed up unprepared - credential matters less than the pattern recognition most people spend 3 years trying to break into banking for $120k the people who looked one level up spent 8 months and landed 5x the salary the information to do this has existed for years Bookmark this and upgrade your brain the gap isn't talent it's that nobody told you where to look

Livsun

1,284,195 görüntüleme • 2 ay önce

quants make $420k+/year and nobody ever wrote the guide that's not an accident people who could write it earn more by staying quiet. firms want the gap - smaller pool means more leverage on terms so here's what they actually test: probability, mental math, coding, game theory - same 4 categories, same structure, every top firm, every year. nothing about finance a kid from a state school who drilled these for 8 months has placed above ivy league finance grads at citadel - not once, routinely they don't care about your internship track or CFA they care if you can solve expected value under pressure in 30 seconds most IB analysts never even heard of the test format. they applied to the wrong door for 3 years quant track runs parallel - 8 months to be competitive for a role that pays 4-5x banking at entry information to get there is free. same problem sets recycled every year, all documented, all public Bookmark and use it for learning what's missing isn't talent nobody told you which door to knock on
1:04

quants make $420k+/year and nobody ever wrote the guide that's not an accident people who could write it earn more by staying quiet. firms want the gap - smaller pool means more leverage on terms so here's what they actually test: probability, mental math, coding, game theory - same 4 categories, same structure, every top firm, every year. nothing about finance a kid from a state school who drilled these for 8 months has placed above ivy league finance grads at citadel - not once, routinely they don't care about your internship track or CFA they care if you can solve expected value under pressure in 30 seconds most IB analysts never even heard of the test format. they applied to the wrong door for 3 years quant track runs parallel - 8 months to be competitive for a role that pays 4-5x banking at entry information to get there is free. same problem sets recycled every year, all documented, all public Bookmark and use it for learning what's missing isn't talent nobody told you which door to knock on

Livsun

24,151 görüntüleme • 1 ay önce

a citadel options trader told me the one concept they test first in every quant interview and it's been sitting on a free website for years not a hedge fund textbook, not a $3,000 prep program. a free course syllabus - options greeks, volatility, quizzes - publicly available, almost nobody applying has ever opened it concept is expected value across a probability distribution retail looks at a chart and asks which direction. quant looks at expected payout across every possible outcome and asks if that number beats the cost of the trade - completely different question options pricing is just EV made rigorous fair value of any position = sum of (each outcome's probability x its payoff), discounted back. that formula is in every intro stats course and every free options curriculum these firms post publicly citadel's first round isn't a stock pitch or a DCF it's a market-making problem: "set me a bid and ask on a coin flip" if you can solve that fast and size it correctly, you can price any derivative on earth prep is documented in 6 categories: probability, greeks, volatility, mental math, coding, microstructure firms don't want you pattern-matching to old trades. they want raw EV instinct - and that's in free courses that have been online for years entry-level quant traders at these firms start at $300k. senior traders clear $650k+ most people never make it past round 1. not because they weren't smart - because nobody told them what the test was actually measuring Bookmark this they kept you reading charts while they were drilling expected value at 2am
0:56

a citadel options trader told me the one concept they test first in every quant interview and it's been sitting on a free website for years not a hedge fund textbook, not a $3,000 prep program. a free course syllabus - options greeks, volatility, quizzes - publicly available, almost nobody applying has ever opened it concept is expected value across a probability distribution retail looks at a chart and asks which direction. quant looks at expected payout across every possible outcome and asks if that number beats the cost of the trade - completely different question options pricing is just EV made rigorous fair value of any position = sum of (each outcome's probability x its payoff), discounted back. that formula is in every intro stats course and every free options curriculum these firms post publicly citadel's first round isn't a stock pitch or a DCF it's a market-making problem: "set me a bid and ask on a coin flip" if you can solve that fast and size it correctly, you can price any derivative on earth prep is documented in 6 categories: probability, greeks, volatility, mental math, coding, microstructure firms don't want you pattern-matching to old trades. they want raw EV instinct - and that's in free courses that have been online for years entry-level quant traders at these firms start at $300k. senior traders clear $650k+ most people never make it past round 1. not because they weren't smart - because nobody told them what the test was actually measuring Bookmark this they kept you reading charts while they were drilling expected value at 2am

Livsun

25,988 görüntüleme • 2 ay önce

100 billion dollars made without predicting a single price direction not a direction call, a macro bet, or a news trade in sight they asked a completely different question than every retail trader alive retail: "will this go up?" quant: "what state is the market in, and where does that state historically lead?" same data. completely different game markets aren't random - they cycle through states: trending, ranging, compressing, reversing each state has a fixed historical probability of transitioning to the next that's the whole edge. not a signal, not an indicator - just conditional probability you don't need to know what fed will do or what earnings will print you need to know which state you're in and what that state leads to 68% of the time framework has been public since 1906 Bookmark it before it gone data is free, implementation is 200 lines of python, paper costs nothing they built 100 billion off math sitting in statistics textbooks your whole life you were staring at candles while they ran probability tables
0:52

100 billion dollars made without predicting a single price direction not a direction call, a macro bet, or a news trade in sight they asked a completely different question than every retail trader alive retail: "will this go up?" quant: "what state is the market in, and where does that state historically lead?" same data. completely different game markets aren't random - they cycle through states: trending, ranging, compressing, reversing each state has a fixed historical probability of transitioning to the next that's the whole edge. not a signal, not an indicator - just conditional probability you don't need to know what fed will do or what earnings will print you need to know which state you're in and what that state leads to 68% of the time framework has been public since 1906 Bookmark it before it gone data is free, implementation is 200 lines of python, paper costs nothing they built 100 billion off math sitting in statistics textbooks your whole life you were staring at candles while they ran probability tables

Livsun

13,335 görüntüleme • 1 ay önce

quants don't predict markets. they stopped trying years ago retail is still asking "where is price going?" - quants switched to a different question entirely "given the current state, what's the probability distribution of outcomes" that's not a semantics game. it changes the math entirely stochastic processes model how a system evolves probabilistically - not picking a direction, mapping where each path leads and how likely it is ornstein-uhlenbeck does this for mean reversion: drift rate back to equilibrium, variance around that path same price data everybody has. different equation math is a century old, free in every applied probability textbook Bookmark and learn this before it gone you've been drawing trend lines while they ran probability distributions on same numbers it was never about data it was the question you were taught to ask
1:27

quants don't predict markets. they stopped trying years ago retail is still asking "where is price going?" - quants switched to a different question entirely "given the current state, what's the probability distribution of outcomes" that's not a semantics game. it changes the math entirely stochastic processes model how a system evolves probabilistically - not picking a direction, mapping where each path leads and how likely it is ornstein-uhlenbeck does this for mean reversion: drift rate back to equilibrium, variance around that path same price data everybody has. different equation math is a century old, free in every applied probability textbook Bookmark and learn this before it gone you've been drawing trend lines while they ran probability distributions on same numbers it was never about data it was the question you were taught to ask

Livsun

13,315 görüntüleme • 1 ay önce

renaissance technologies hasn't had a losing year since 1988 not because they're smarter or have better data they're asking a completely different question than everyone else while retail asks "will it go up?" quant desks ask something else entirely which state is the market in right now, and with what probability does it transition to the next tool for that: markov chains markets cycle through states - trending, ranging, volatile, reversing each transition has a historical probability you can calculate trending -> stays trending: 48% trending -> ranging: 34% trending -> reversing: 18% you don't pick direction. you calculate expected value across every possible transition enter only when the math is positive that's it. that's the entire edge the framework is 119 years old - andrei markov published it in 1906 it's in every statistics textbook on earth Bookmark it or lose last chance to be quant nobody in your trading group ever mentioned it
2:02

renaissance technologies hasn't had a losing year since 1988 not because they're smarter or have better data they're asking a completely different question than everyone else while retail asks "will it go up?" quant desks ask something else entirely which state is the market in right now, and with what probability does it transition to the next tool for that: markov chains markets cycle through states - trending, ranging, volatile, reversing each transition has a historical probability you can calculate trending -> stays trending: 48% trending -> ranging: 34% trending -> reversing: 18% you don't pick direction. you calculate expected value across every possible transition enter only when the math is positive that's it. that's the entire edge the framework is 119 years old - andrei markov published it in 1906 it's in every statistics textbook on earth Bookmark it or lose last chance to be quant nobody in your trading group ever mentioned it

Livsun

51,500 görüntüleme • 2 ay önce

YOUR BRAIN HAS BEEN WIRED FOR 6 MILLION YEARS TO SEEK CERTAINTY Trading requires the exact opposite. This is what separates competent traders from everyone else: "The brain is biased to seek certainty. It wants to be right. It's survival value that's been built into our system for 6 million years. Ultimately what you have to do is retrain the brain so that it's more probability based. You have a mindset that manages uncertainty to be able to build probability rather than to look for certainty. Completely different animals." Trading psychologist Rande Howell on why intelligence alone is not enough. The market does not reward people who need to be right. It rewards people who can manage uncertainty and let probability play out across many trades.
1:03

YOUR BRAIN HAS BEEN WIRED FOR 6 MILLION YEARS TO SEEK CERTAINTY Trading requires the exact opposite. This is what separates competent traders from everyone else: "The brain is biased to seek certainty. It wants to be right. It's survival value that's been built into our system for 6 million years. Ultimately what you have to do is retrain the brain so that it's more probability based. You have a mindset that manages uncertainty to be able to build probability rather than to look for certainty. Completely different animals." Trading psychologist Rande Howell on why intelligence alone is not enough. The market does not reward people who need to be right. It rewards people who can manage uncertainty and let probability play out across many trades.

WOLF

22,095 görüntüleme • 2 ay önce

a quant at a prop firm showed me a 5x5 grid on a napkin said: > this is our entire edge. we don't predict price. we predict which box the market is in and where that box historically leads i didn't understand it for weeks. then it clicked never looked at a chart the same way since grid is called a Markov Chain transition matrix. the math is from 1906, it's in every probability textbook on earth and hedge funds use it because it asks a completely different question than retail traders ever ask retail: will this go up or down quant: what state is this market in, and where does this state typically go every market lives in one of maybe 5-6 states at any given moment tight range, volatility compression, trending with momentum, post-spike reversal, pre-breakout coil not random labels - clusters you identify from actual data using volatility, volume, and momentum readings stacked together once you have the states, you build the matrix: P(state 2 -> state 4) = 73% P(state 4 -> state 1) = 61% P(state 1 -> state 3) = 68% each cell is a historical probability. now when the market is in state 2, you're not guessing you're betting on 73% historical completion. you size it with Kelly. you take the trade when the math says to, not when it feels right i built this on BTC using 2 years of 4-hour data. identified 5 states one i labeled "volatility compression below 20-day mean for 6+ consecutive candles" transitioned to a directional move above 1.8 ATR in 71% of cases average reward/risk on those trades: 5.4 that's not prediction. that's reading a probability table the market keeps filling in for you every single day the part that should bother you: the data to build this is free. the framework is in any quant textbook python to implement it is maybe 200 lines what Renaissance Technologies has that you don't isn't secret data or proprietary signals it's this framework applied to higher-resolution data with more sophisticated state definitions you're not missing information you're asking the wrong question every single time you open a chart
0:26

a quant at a prop firm showed me a 5x5 grid on a napkin said: > this is our entire edge. we don't predict price. we predict which box the market is in and where that box historically leads i didn't understand it for weeks. then it clicked never looked at a chart the same way since grid is called a Markov Chain transition matrix. the math is from 1906, it's in every probability textbook on earth and hedge funds use it because it asks a completely different question than retail traders ever ask retail: will this go up or down quant: what state is this market in, and where does this state typically go every market lives in one of maybe 5-6 states at any given moment tight range, volatility compression, trending with momentum, post-spike reversal, pre-breakout coil not random labels - clusters you identify from actual data using volatility, volume, and momentum readings stacked together once you have the states, you build the matrix: P(state 2 -> state 4) = 73% P(state 4 -> state 1) = 61% P(state 1 -> state 3) = 68% each cell is a historical probability. now when the market is in state 2, you're not guessing you're betting on 73% historical completion. you size it with Kelly. you take the trade when the math says to, not when it feels right i built this on BTC using 2 years of 4-hour data. identified 5 states one i labeled "volatility compression below 20-day mean for 6+ consecutive candles" transitioned to a directional move above 1.8 ATR in 71% of cases average reward/risk on those trades: 5.4 that's not prediction. that's reading a probability table the market keeps filling in for you every single day the part that should bother you: the data to build this is free. the framework is in any quant textbook python to implement it is maybe 200 lines what Renaissance Technologies has that you don't isn't secret data or proprietary signals it's this framework applied to higher-resolution data with more sophisticated state definitions you're not missing information you're asking the wrong question every single time you open a chart

Livsun

188,258 görüntüleme • 2 ay önce

🚨 JUST IN: Patrick Bet-David NAILS IT on why Democrats are powerless in the face of President Trump's triumph on the world stage "Go to ANY game in sports, any comeback, any story of redemption! Tell me a BETTER story of redemption of a living human being in America the last 50 years than Donald J. Trump. Maybe go back 100 years. Who has redeemed themselves the way this man has? Who has done it? I don't know!" "They can't stand that this guy is winning!" "Who has come back and, was 'SUPPOSED' to start World War 3? He's done some say five, seven+...peace deals. Who has done that? Not a lot of people!" "There's a thing that a lot of people have to be paying attention to, and this is for me, going into 2028, as you put on the scorecard of what skill sets we want of somebody to be the President of the United States, I think those days of diplomacy, the 'right' degree, 'right' school, 'right' pedigree are BEHIND US!" 🔥 Patrick Bet-David
1:17

🚨 JUST IN: Patrick Bet-David NAILS IT on why Democrats are powerless in the face of President Trump's triumph on the world stage "Go to ANY game in sports, any comeback, any story of redemption! Tell me a BETTER story of redemption of a living human being in America the last 50 years than Donald J. Trump. Maybe go back 100 years. Who has redeemed themselves the way this man has? Who has done it? I don't know!" "They can't stand that this guy is winning!" "Who has come back and, was 'SUPPOSED' to start World War 3? He's done some say five, seven+...peace deals. Who has done that? Not a lot of people!" "There's a thing that a lot of people have to be paying attention to, and this is for me, going into 2028, as you put on the scorecard of what skill sets we want of somebody to be the President of the United States, I think those days of diplomacy, the 'right' degree, 'right' school, 'right' pedigree are BEHIND US!" 🔥 Patrick Bet-David

Eric Daugherty

548,040 görüntüleme • 9 ay önce

The data shows that a 6-month engagement, on average, leads to a long-term marriage. That does not mean it has to be exactly 6 months. It could be 9 months, 4 months, or somewhere in between. I have friends who dated for just a few weeks and have been married for 40 years. There are always exceptions. But statistically speaking, a good, fully engaged, present-in-the-same-city engagement that lasts around 6 months has the highest probability of resulting in a successful marriage.
0:26

The data shows that a 6-month engagement, on average, leads to a long-term marriage. That does not mean it has to be exactly 6 months. It could be 9 months, 4 months, or somewhere in between. I have friends who dated for just a few weeks and have been married for 40 years. There are always exceptions. But statistically speaking, a good, fully engaged, present-in-the-same-city engagement that lasts around 6 months has the highest probability of resulting in a successful marriage.

Dave Ramsey

90,401 görüntüleme • 1 yıl önce

Some millennials have been working for 20 years and are still confused by corporate 😂 For those who are still in the dark let me fill you in. Your performance doesn't matter. Your performance review doesn't matter. Your compensation has been set by a budget committee a year ago. You are not "overachieving" anything. Management has a fixed pool of money to pay the people they manage so they can give them raises less than inflation. If they give you more money, they have to give someone else less money. It's a zero-sum game. Managers actually have a larger pool of money to hire new employees because corporations recognize that new hires need to be incentivized to come over. They won't just leave their company for the same money. If you've been at the same company for 5 years you are underpaid. If you've been at the same company for 10 years you are paid less than a new hire at a competitor. Loyalty doesn't matter because there is no reason for a company to voluntarily pay you more money. Corporations already know that over 95% of employees will not go anywhere and will take whatever they get. Even if that's nothing. There's no reason to pay everybody more money when only a tiny percentage of workers will leave. Even if you leave... (remember over 95% of employees will not) ... the corporation will distribute the work you were doing among all your coworkers. And they will take on the extra work. And they will stay. For nothing. Because in addition to a salary, what an employee wants is to not have to look for a new job. That's all the want. They don't want to move anywhere. And companies know it, and they will take advantage of that. Now you know! You're welcome.
2:50

Some millennials have been working for 20 years and are still confused by corporate 😂 For those who are still in the dark let me fill you in. Your performance doesn't matter. Your performance review doesn't matter. Your compensation has been set by a budget committee a year ago. You are not "overachieving" anything. Management has a fixed pool of money to pay the people they manage so they can give them raises less than inflation. If they give you more money, they have to give someone else less money. It's a zero-sum game. Managers actually have a larger pool of money to hire new employees because corporations recognize that new hires need to be incentivized to come over. They won't just leave their company for the same money. If you've been at the same company for 5 years you are underpaid. If you've been at the same company for 10 years you are paid less than a new hire at a competitor. Loyalty doesn't matter because there is no reason for a company to voluntarily pay you more money. Corporations already know that over 95% of employees will not go anywhere and will take whatever they get. Even if that's nothing. There's no reason to pay everybody more money when only a tiny percentage of workers will leave. Even if you leave... (remember over 95% of employees will not) ... the corporation will distribute the work you were doing among all your coworkers. And they will take on the extra work. And they will stay. For nothing. Because in addition to a salary, what an employee wants is to not have to look for a new job. That's all the want. They don't want to move anywhere. And companies know it, and they will take advantage of that. Now you know! You're welcome.

Lazy Canadian Investor

66,816 görüntüleme • 2 yıl önce

🚨 JUST IN: Gov. Ron DeSantis to protestors who get arrested, paint or chalk over removed pride/art crosswalks - "You don't have a 1st Amendment right to commandeer someone else's property." "When you have a state crosswalk or a state road, the law in the state of Florida is now that there's not markings, that's not gonna be used for those purposes. FDOT issued a memo to explain that a couple months ago." "Everybody's been on notice about that. But this is kind of an instructive civics lesson here. You do not have a right to take somebody else's property for your messaging purposes. That's never been what the First Amendment has said." - Ron DeSantis
1:07

🚨 JUST IN: Gov. Ron DeSantis to protestors who get arrested, paint or chalk over removed pride/art crosswalks - "You don't have a 1st Amendment right to commandeer someone else's property." "When you have a state crosswalk or a state road, the law in the state of Florida is now that there's not markings, that's not gonna be used for those purposes. FDOT issued a memo to explain that a couple months ago." "Everybody's been on notice about that. But this is kind of an instructive civics lesson here. You do not have a right to take somebody else's property for your messaging purposes. That's never been what the First Amendment has said." - Ron DeSantis

Florida’s Voice

1,103,881 görüntüleme • 11 ay önce

Mike Bloomberg's story on how he landed his first job on Wall Street is incredibly telling of just how much the job market has changed in finance As the story goes, Bloomberg did not know what to do with his life. A friend recommended Wall Street as a potential career option. To land an interview, he called up the firm and showed up to the office. Today, the base requirements for just getting an interview (not even the job) at a prestigious investment bank include: > Ivy league or equivalent college name > At least a couple of relevant internships > Finance clubs (these are often just as competitive to get into, depending on the school) > Perfect GPA > Sent at least a few dozen networking emails and had coffee chats with existing bankers Any successful candidate who ends up landing the job probably also spent a decent portion of their free time during school studying technical interview questions And given the timeline of internship interviews now, all of this needs to be done within your first 18 months of college. By the time you finish your sophomore year, most banks are done giving out offers The outcome is that students no longer get time to explore their courseload in the same way If you dont come into college knowing that you want to pursue investment banking, you are already a step behind most of your peers
2:12

Mike Bloomberg's story on how he landed his first job on Wall Street is incredibly telling of just how much the job market has changed in finance As the story goes, Bloomberg did not know what to do with his life. A friend recommended Wall Street as a potential career option. To land an interview, he called up the firm and showed up to the office. Today, the base requirements for just getting an interview (not even the job) at a prestigious investment bank include: > Ivy league or equivalent college name > At least a couple of relevant internships > Finance clubs (these are often just as competitive to get into, depending on the school) > Perfect GPA > Sent at least a few dozen networking emails and had coffee chats with existing bankers Any successful candidate who ends up landing the job probably also spent a decent portion of their free time during school studying technical interview questions And given the timeline of internship interviews now, all of this needs to be done within your first 18 months of college. By the time you finish your sophomore year, most banks are done giving out offers The outcome is that students no longer get time to explore their courseload in the same way If you dont come into college knowing that you want to pursue investment banking, you are already a step behind most of your peers

Boring_Business

380,958 görüntüleme • 6 ay önce

🚨TRUMP: I'm not a fan of what Russia's doing either, just so you understand. All right? But it's a lot different. You're talking about a country that has been evil for 47 years (Iran). JOURNALIST: Sir, if you end up hitting those Iranian power plants, how is that different from what Russia has been doing in Ukraine by hitting Ukrainian power plants? TRUNP: Well, I think it's a lot different, and if you look at the nuclear weapons that they wanted to have (Iranians), that they wanted to possess, a lot of things are different. I'm not a fan of what Russia's doing either, just so you understand. All right? But it's a lot different. You're talking about a country that has been evil for 47 years (Iran). They've been horrible. Death all over the world, not just us. Look at the way they attacked unexpectedly all of those countries surrounding them. That, it was not supposed to... Nobody was even thinking about it, but they wanted to take over the Middle East, and they wanted to knock out Israel permanently. And if they had a nuclear weapon, they would've been able to do that
0:50

🚨TRUMP: I'm not a fan of what Russia's doing either, just so you understand. All right? But it's a lot different. You're talking about a country that has been evil for 47 years (Iran). JOURNALIST: Sir, if you end up hitting those Iranian power plants, how is that different from what Russia has been doing in Ukraine by hitting Ukrainian power plants? TRUNP: Well, I think it's a lot different, and if you look at the nuclear weapons that they wanted to have (Iranians), that they wanted to possess, a lot of things are different. I'm not a fan of what Russia's doing either, just so you understand. All right? But it's a lot different. You're talking about a country that has been evil for 47 years (Iran). They've been horrible. Death all over the world, not just us. Look at the way they attacked unexpectedly all of those countries surrounding them. That, it was not supposed to... Nobody was even thinking about it, but they wanted to take over the Middle East, and they wanted to knock out Israel permanently. And if they had a nuclear weapon, they would've been able to do that

Kateryna Lisunova

17,446 görüntüleme • 4 ay önce

Wall Street charges $500,000 for probability. an IIT professor put the real thing on YouTube for nothing over a decade ago. 160,000 people watched him define a coin flip properly. almost none of them ever traded on it. his subject is the axioms under every bet. what a probability actually is, before you dare size a position on it. every quant in 2026 is standing on this, most just skipped the lecture. Jagannathan teaches this to the IIT engineers who end up on the desks. no upsell, no thumbnail. the foundation of your whole post sits there with fewer views than a phone review. skip to where he refuses to hand-wave. he builds "the chance of heads" from the ground up, slow, rigorous, the way the people who keep the money were taught. no ticker. no hype. one chalkboard and the axioms. a quant I know says half his desk learned probability from this exact free course, not from their finance degree. you are a decade late. it is still free.
34:14

Wall Street charges $500,000 for probability. an IIT professor put the real thing on YouTube for nothing over a decade ago. 160,000 people watched him define a coin flip properly. almost none of them ever traded on it. his subject is the axioms under every bet. what a probability actually is, before you dare size a position on it. every quant in 2026 is standing on this, most just skipped the lecture. Jagannathan teaches this to the IIT engineers who end up on the desks. no upsell, no thumbnail. the foundation of your whole post sits there with fewer views than a phone review. skip to where he refuses to hand-wave. he builds "the chance of heads" from the ground up, slow, rigorous, the way the people who keep the money were taught. no ticker. no hype. one chalkboard and the axioms. a quant I know says half his desk learned probability from this exact free course, not from their finance degree. you are a decade late. it is still free.

Rossst.03

919,977 görüntüleme • 6 gün önce

Alex on why AI drug discovery companies need to generate novel data to succeed: "AI models based on the research that's available is a lot of garbage in and garbage out." "A lot of the recorded literature is actually incorrect. There's been tons of studies that show if you go try to replicate the experiments that are in the literature, you don't even get the same results." "The AI companies that I believe are gonna be most set up for success are the companies with a novel way to generate science tokens that don't exist in the public domain."
2:16

Alex on why AI drug discovery companies need to generate novel data to succeed: "AI models based on the research that's available is a lot of garbage in and garbage out." "A lot of the recorded literature is actually incorrect. There's been tons of studies that show if you go try to replicate the experiments that are in the literature, you don't even get the same results." "The AI companies that I believe are gonna be most set up for success are the companies with a novel way to generate science tokens that don't exist in the public domain."

Patrick OShaughnessy

126,540 görüntüleme • 3 ay önce

.United States Trade Representative Ambassador Greer: "For over 100 years, the United States has had a law on the books prohibiting the import of goods made with forced labor. This is common sense, and we've enforced this law... We have told countries, you need to take action... If countries are on the right path, they have a certain level of tariff—about 10%—and if they're not on the right path, it's a slightly higher tariff of 12.5%"
0:48

.United States Trade Representative Ambassador Greer: "For over 100 years, the United States has had a law on the books prohibiting the import of goods made with forced labor. This is common sense, and we've enforced this law... We have told countries, you need to take action... If countries are on the right path, they have a certain level of tariff—about 10%—and if they're not on the right path, it's a slightly higher tariff of 12.5%"

Rapid Response 47

110,125 görüntüleme • 15 gün önce

KIDS: Nathan Walker is 5'9. He's from Australia. Over his 12 professional seasons a majority of his time has been spent in the AHL, playing over 400 games in the league. Right now, he's a 5'9 bottom six player for STL. How many bottom six players do you see at that size? And then you watch him play. He's relentless. All over the ice with speed and tenacity. He's not afraid of anyone or any area of the ice. Check out this goal from last night. Right in the dirty areas, battling for positioning to take the goalie's eyes away in front of the net. And eventually, he gets rewarded with the goal. Everyone has a different path, and Walker's was the long way. And if that path is the long way, you better be willing to be the hardest working player on the ice. And do the little things that may not show up on the scoresheet but can help your team win. I want to say it again - everyone has a different path. And most are the long way. Nathan Walker is a great example to look to for having the will of what it takes to achieve your dreams.
0:43

KIDS: Nathan Walker is 5'9. He's from Australia. Over his 12 professional seasons a majority of his time has been spent in the AHL, playing over 400 games in the league. Right now, he's a 5'9 bottom six player for STL. How many bottom six players do you see at that size? And then you watch him play. He's relentless. All over the ice with speed and tenacity. He's not afraid of anyone or any area of the ice. Check out this goal from last night. Right in the dirty areas, battling for positioning to take the goalie's eyes away in front of the net. And eventually, he gets rewarded with the goal. Everyone has a different path, and Walker's was the long way. And if that path is the long way, you better be willing to be the hardest working player on the ice. And do the little things that may not show up on the scoresheet but can help your team win. I want to say it again - everyone has a different path. And most are the long way. Nathan Walker is a great example to look to for having the will of what it takes to achieve your dreams.

Topher Scott

112,481 görüntüleme • 1 yıl önce

Every financial crisis of the last 25 years has been the same math mistake. A British mathematician explains it in 60 seconds using 100 bottles of beer. He has been trying to tell Wall Street for 30 years. Nobody has moved. You need 100 bottles of beer for a party. One bottle costs £1. What do you pay for 100? If you said £100, you just made the mistake that has crashed Wall Street four times since 1998. The real answer is: you have no idea. Depending on where you buy, it could be £80 for a bulk discount. Or £200 at the only shop still open. Almost never exactly £100. His name is Paul Wilmott. He is 66. Oxford math PhD. He wrote the textbook every serious quant reads. He founded the Certificate in Quantitative Finance program in 2003 and has trained thousands of the people now working at the biggest banks in the world. He said it out loud in a 2010 documentary. The film is called "Quants: The Alchemists of Wall Street." VPRO in the Netherlands made it. It runs 50 minutes. It is on YouTube. The industry ignored the film for 15 years and counting. The specific mistake Wilmott keeps warning about has a name. It is called linearity. Almost every financial model assumes doubling the input doubles the output. Twice the leverage, twice the return. Half the risk, half the loss. The real world does not work that way. The market really does not. Long-Term Capital Management figured this out in September 1998. Two Nobel Prize winners were on its board. Their model assumed correlations between markets would stay stable. In August, Russia defaulted. Correlations went to one. Every position moved against them at the same time. They lost $4.6 billion in six weeks. The Fed had to organize a bailout. The same failure has repeated every 8 to 10 years since. Subprime CDOs in 2008. Volatility funds in 2018. Silicon Valley Bank in 2023. Different math. Same mistake. Wilmott called it in 2010 with beer. He is still writing. He is still teaching. His students still get hired. Nothing has changed.
44:45

Every financial crisis of the last 25 years has been the same math mistake. A British mathematician explains it in 60 seconds using 100 bottles of beer. He has been trying to tell Wall Street for 30 years. Nobody has moved. You need 100 bottles of beer for a party. One bottle costs £1. What do you pay for 100? If you said £100, you just made the mistake that has crashed Wall Street four times since 1998. The real answer is: you have no idea. Depending on where you buy, it could be £80 for a bulk discount. Or £200 at the only shop still open. Almost never exactly £100. His name is Paul Wilmott. He is 66. Oxford math PhD. He wrote the textbook every serious quant reads. He founded the Certificate in Quantitative Finance program in 2003 and has trained thousands of the people now working at the biggest banks in the world. He said it out loud in a 2010 documentary. The film is called "Quants: The Alchemists of Wall Street." VPRO in the Netherlands made it. It runs 50 minutes. It is on YouTube. The industry ignored the film for 15 years and counting. The specific mistake Wilmott keeps warning about has a name. It is called linearity. Almost every financial model assumes doubling the input doubles the output. Twice the leverage, twice the return. Half the risk, half the loss. The real world does not work that way. The market really does not. Long-Term Capital Management figured this out in September 1998. Two Nobel Prize winners were on its board. Their model assumed correlations between markets would stay stable. In August, Russia defaulted. Correlations went to one. Every position moved against them at the same time. They lost $4.6 billion in six weeks. The Fed had to organize a bailout. The same failure has repeated every 8 to 10 years since. Subprime CDOs in 2008. Volatility funds in 2018. Silicon Valley Bank in 2023. Different math. Same mistake. Wilmott called it in 2010 with beer. He is still writing. He is still teaching. His students still get hired. Nothing has changed.

Veles

212,456 görüntüleme • 15 gün önce