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The man who built the greatest quant fund in history explaining his philosophy in one MIT lecture Jim Simons ran Renaissance Technologies and returned 66% a year for 30 years, his Medallion Fund never had a losing year after 1989 His approach was simple - find small edges the... show more

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15,473 просмотров • 5 месяцев назад •via X (Twitter)

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This 80-min interview from inside Jim Simons' Renaissance Technologies teaches more about how Medallion prints 66% a year than every $200K MBA combined. Robert Frey walked away in 2004 to explain it, for free. Bookmark & watch tonight, you'll never see markets the same.

This 80-min interview from inside Jim Simons' Renaissance Technologies teaches more about how Medallion prints 66% a year than every $200K MBA combined. Robert Frey walked away in 2004 to explain it, for free. Bookmark & watch tonight, you'll never see markets the same.

Phosphen

31,756 просмотров • 4 месяцев назад

i come back to this clip of Jim Simons every few months. the man who built the most successful hedge fund in history sharing his guiding principles in life. 2 and a half minutes that will stick with you.

i come back to this clip of Jim Simons every few months. the man who built the most successful hedge fund in history sharing his guiding principles in life. 2 and a half minutes that will stick with you.

Goshawk Trades

249,246 просмотров • 5 месяцев назад

Jim Simons, the founder of Renaissance, used to break Soviet codes at a classified defense institute under the Pentagon. Then he wrote a letter to the New York Times against the Vietnam War. His boss called a general, and Simons was fired the same day. He left and built Medallion. The best performing fund in Wall Street history. In 1988 he made the decision that changed everything: trade by the models only. Blindly. No matter what you think in the moment.

Jim Simons, the founder of Renaissance, used to break Soviet codes at a classified defense institute under the Pentagon. Then he wrote a letter to the New York Times against the Vietnam War. His boss called a general, and Simons was fired the same day. He left and built Medallion. The best performing fund in Wall Street history. In 1988 he made the decision that changed everything: trade by the models only. Blindly. No matter what you think in the moment.

zostaff

24,884 просмотров • 4 месяцев назад

This man made more money than any trader alive and he never took a single finance class. Jim Simons was a geometry professor. Then he built a fund that returned 66% a year for 30 years and became the highest paid mathematician who ever lived. Renaissance still pays more than Jane Street or Citadel for one reason: a tiny real edge, times enormous scale, is an enormous amount of money. The market does not pay you for knowledge. Knowledge is free. It pays you for being right about how sure you are. In this talk he lays out the five principles that took him from a fired codebreaker to the best track record in market history. The one about hiring beats every trading tip you have ever read.

This man made more money than any trader alive and he never took a single finance class. Jim Simons was a geometry professor. Then he built a fund that returned 66% a year for 30 years and became the highest paid mathematician who ever lived. Renaissance still pays more than Jane Street or Citadel for one reason: a tiny real edge, times enormous scale, is an enormous amount of money. The market does not pay you for knowledge. Knowledge is free. It pays you for being right about how sure you are. In this talk he lays out the five principles that took him from a fired codebreaker to the best track record in market history. The one about hiring beats every trading tip you have ever read.

Rossst.03

25,323 просмотров • 8 дней назад

A codebreaker made $31 billion. he returned 66% a year for thirty years. Buffett averaged 20%. Soros averaged 30%. nobody came close. he gave one lecture about it at MIT. Wall Street has spent forty years trying to reverse-engineer what he said. he didn't hire traders. not one MBA. not one analyst. he hired physicists, astronomers, and Cold War cryptographers. he ran the fund from a strip mall on Long Island. his name is Jim Simons. the Medallion Fund made more money than Goldman Sachs most years. he never explained how. the part nobody talks about: the same pattern recognition he used to crack Soviet codes for the NSA is what he used to crack financial markets. he said it in this lecture. nobody in finance picked it up. a quant at a multi-billion dollar fund told me they play this for every new hire on day one. not a textbook. not a model. a 45-minute talk from a man who beat Buffett, Soros, Dalio, and every hedge fund alive. $31 billion. one formula. zero finance people. Goldman, JPMorgan, Citadel, Bridgewater. he beat all of them. from a strip mall. the lecture is free. he died the following year. it is in the video.

A codebreaker made $31 billion. he returned 66% a year for thirty years. Buffett averaged 20%. Soros averaged 30%. nobody came close. he gave one lecture about it at MIT. Wall Street has spent forty years trying to reverse-engineer what he said. he didn't hire traders. not one MBA. not one analyst. he hired physicists, astronomers, and Cold War cryptographers. he ran the fund from a strip mall on Long Island. his name is Jim Simons. the Medallion Fund made more money than Goldman Sachs most years. he never explained how. the part nobody talks about: the same pattern recognition he used to crack Soviet codes for the NSA is what he used to crack financial markets. he said it in this lecture. nobody in finance picked it up. a quant at a multi-billion dollar fund told me they play this for every new hire on day one. not a textbook. not a model. a 45-minute talk from a man who beat Buffett, Soros, Dalio, and every hedge fund alive. $31 billion. one formula. zero finance people. Goldman, JPMorgan, Citadel, Bridgewater. he beat all of them. from a strip mall. the lecture is free. he died the following year. it is in the video.

Tigerflow

17,990 просмотров • 2 месяцев назад

In 1988, Jim Simons flew to Berkeley to beg a math professor to fix his hedge fund. The professor had never traded a stock. He had spent his career on coding theory and mathematical board games. He agreed to help on the condition he could leave when he wanted. He delivered 55 percent net in his full year running it. Then he handed the whole thing back and went home to teach undergraduates. His name was Elwyn Berlekamp. He is one of two people who ever ran what would become the most profitable trading operation in history. Simons was the other one. MIT math PhD, 1964. Berlekamp wrote foundational papers in coding theory that still run every CD, DVD, satellite link, and QR code on Earth. The Berlekamp-Massey algorithm, published 1968, is why every scratched CD you owned still played through to the end. He also co-wrote "Winning Ways for Your Mathematical Plays" with John Conway and Richard Guy. Four volumes. It became the foundational text of combinatorial game theory. Berlekamp thought about board games the way most mathematicians think about theorems. He proved endgame results in Go that professional masters had assumed were unprovable. His 1994 book "Mathematical Go" reduced the last moves of a Go game to a formula. Top-ranked professionals started studying it. Simons had a problem in the late 1980s. His trading partnership was falling apart. The fund was losing money. He flew west to see the game theorist. Berlekamp bought a controlling stake, cut what was not working, and rebuilt the trading logic from combinatorial game theory principles. The fund returned 55 percent net after fees in his full year running it. In December 1990, Berlekamp sold his stake back to Simons and walked out. He wanted to go back to Berkeley. In interviews he said the same thing many times, in different words: Berkeley was where he belonged. Simons kept building on the system Berlekamp rebuilt. It became the Medallion Fund. Over the next 30 years, Medallion compounded at roughly 66 percent gross per year. It is the most profitable trading strategy in the history of finance. Berlekamp took his cut in 1990 and never went back. He spent the rest of his life at UC Berkeley. He gave a lecture called "Mathematics and Go" that is on YouTube. He died in 2019, aged 78. The paradox is not that Berlekamp made a fortune. It is that he had the door to the biggest fortune in trading history held open for him and walked out. The math was fun. The billions were not.

In 1988, Jim Simons flew to Berkeley to beg a math professor to fix his hedge fund. The professor had never traded a stock. He had spent his career on coding theory and mathematical board games. He agreed to help on the condition he could leave when he wanted. He delivered 55 percent net in his full year running it. Then he handed the whole thing back and went home to teach undergraduates. His name was Elwyn Berlekamp. He is one of two people who ever ran what would become the most profitable trading operation in history. Simons was the other one. MIT math PhD, 1964. Berlekamp wrote foundational papers in coding theory that still run every CD, DVD, satellite link, and QR code on Earth. The Berlekamp-Massey algorithm, published 1968, is why every scratched CD you owned still played through to the end. He also co-wrote "Winning Ways for Your Mathematical Plays" with John Conway and Richard Guy. Four volumes. It became the foundational text of combinatorial game theory. Berlekamp thought about board games the way most mathematicians think about theorems. He proved endgame results in Go that professional masters had assumed were unprovable. His 1994 book "Mathematical Go" reduced the last moves of a Go game to a formula. Top-ranked professionals started studying it. Simons had a problem in the late 1980s. His trading partnership was falling apart. The fund was losing money. He flew west to see the game theorist. Berlekamp bought a controlling stake, cut what was not working, and rebuilt the trading logic from combinatorial game theory principles. The fund returned 55 percent net after fees in his full year running it. In December 1990, Berlekamp sold his stake back to Simons and walked out. He wanted to go back to Berkeley. In interviews he said the same thing many times, in different words: Berkeley was where he belonged. Simons kept building on the system Berlekamp rebuilt. It became the Medallion Fund. Over the next 30 years, Medallion compounded at roughly 66 percent gross per year. It is the most profitable trading strategy in the history of finance. Berlekamp took his cut in 1990 and never went back. He spent the rest of his life at UC Berkeley. He gave a lecture called "Mathematics and Go" that is on YouTube. He died in 2019, aged 78. The paradox is not that Berlekamp made a fortune. It is that he had the door to the biggest fortune in trading history held open for him and walked out. The math was fun. The billions were not.

Veles

73,226 просмотров • 2 месяцев назад

He broke the Bank of England, made $1 billion in a single day, ran a $12 billion fund for 30 years, and never had one losing year this is him sitting down with Bloomberg to explain why he just put most of his portfolio into one AI stock and why a guy who shorted entire currencies just put most of his portfolio into one AI stock bookmark & watch it today ↓

He broke the Bank of England, made $1 billion in a single day, ran a $12 billion fund for 30 years, and never had one losing year this is him sitting down with Bloomberg to explain why he just put most of his portfolio into one AI stock and why a guy who shorted entire currencies just put most of his portfolio into one AI stock bookmark & watch it today ↓

slash1s

225,314 просмотров • 4 месяцев назад

Two Sigma Head of AI ~$1M/year showed how the $60B fund uses LLMs to predict market prices - he left Google after 12 years to join the fund and start building an AI team 30-min lecture inside look at how the most secretive quant fund on Wall Street actually uses AI it's really one of the smartest lectures from fund that hasn't had a single losing year since 2001

Two Sigma Head of AI ~$1M/year showed how the $60B fund uses LLMs to predict market prices - he left Google after 12 years to join the fund and start building an AI team 30-min lecture inside look at how the most secretive quant fund on Wall Street actually uses AI it's really one of the smartest lectures from fund that hasn't had a single losing year since 2001

bodila

211,231 просмотров • 4 месяцев назад

My guest this week is Anupam Tiwari , head of equities at Groww Mutual Fund. Anupam is slowly but steadily building out Groww’s AMC business. He manages the Groww Small cap and Groww Multicap fund which have in a short span given strong results. The Groww small cap fund is up 26% in the past 6 months while the Groww multicap fund has given a 23% return in last one year. On this episode I tried to understand his philosophy of investing in small caps , how to approach them now and what are the big sectors to watch over the next one year. Full episode is out now ✨

My guest this week is Anupam Tiwari , head of equities at Groww Mutual Fund. Anupam is slowly but steadily building out Groww’s AMC business. He manages the Groww Small cap and Groww Multicap fund which have in a short span given strong results. The Groww small cap fund is up 26% in the past 6 months while the Groww multicap fund has given a 23% return in last one year. On this episode I tried to understand his philosophy of investing in small caps , how to approach them now and what are the big sectors to watch over the next one year. Full episode is out now ✨

Sonia Shenoy

14,835 просмотров • 1 месяц назад

The founder of Renaissance Technologies - the hedge fund that makes 66% a year, runs the most secretive trading floor on Earth, and has never accepted outside money - once stood in front of 500 mathematicians and explained exactly how he did it. Jim Simons. The Einstein Lecture. American Mathematical Society. 1 hour 20 minutes.They left it on a small university channel. Almost nobody knows it exists. No one's talking about it. Bookmark it before they do. Then read the article below.

The founder of Renaissance Technologies - the hedge fund that makes 66% a year, runs the most secretive trading floor on Earth, and has never accepted outside money - once stood in front of 500 mathematicians and explained exactly how he did it. Jim Simons. The Einstein Lecture. American Mathematical Society. 1 hour 20 minutes.They left it on a small university channel. Almost nobody knows it exists. No one's talking about it. Bookmark it before they do. Then read the article below.

zostaff

534,981 просмотров • 4 месяцев назад

Jim Simons, founder of Renaissance Technologies, MIT lecture, now the record he cannot break: 66% annual returns for thirty years: "We do not hire anyone with the slightest whiff of Wall Street background. So we don't hire people from Goldman or Morgan." Read who the greatest fund on record was hiring instead. Physicists. Mathematicians. Statisticians. Computer scientists. PhDs. The people who ran the two most valuable trading books in history explicitly refused the finance track. The people you thought were the gatekeepers, he treated as disqualifying. Every student aiming at quant should read that line twice. The door is not through Wall Street. The door is around it.

Jim Simons, founder of Renaissance Technologies, MIT lecture, now the record he cannot break: 66% annual returns for thirty years: "We do not hire anyone with the slightest whiff of Wall Street background. So we don't hire people from Goldman or Morgan." Read who the greatest fund on record was hiring instead. Physicists. Mathematicians. Statisticians. Computer scientists. PhDs. The people who ran the two most valuable trading books in history explicitly refused the finance track. The people you thought were the gatekeepers, he treated as disqualifying. Every student aiming at quant should read that line twice. The door is not through Wall Street. The door is around it.

zostaff

10,550 просмотров • 2 месяцев назад

A mathematician made $100 billion from the stock market, without a trader from Wall Street Jim Simons broke codes for the NSA during the Cold War, finding patterns in encrypted messages In 1978 he quit, opened a fund out of a strip mall on Long Island Hired mathematicians, physicists, linguists, not a single MBA The fund won 50.75% of its trades, barely better than a coin flip But it made 150,000 trades a day, every day, for 30 years 66% annual returns, $100 billion in total profits, Buffett averaged 20% - Simons tripled him // In 2008 when every fund on the planet was bleeding out, Medallion went up 152% One rule held the whole thing together: never override the computer Zuckerman, the journalist who wrote the book on him: "No one in the investment world comes close" Bookmark & Watch the full Veritasium breakdown below explains how one equation built the most profitable fund in history ↓

A mathematician made $100 billion from the stock market, without a trader from Wall Street Jim Simons broke codes for the NSA during the Cold War, finding patterns in encrypted messages In 1978 he quit, opened a fund out of a strip mall on Long Island Hired mathematicians, physicists, linguists, not a single MBA The fund won 50.75% of its trades, barely better than a coin flip But it made 150,000 trades a day, every day, for 30 years 66% annual returns, $100 billion in total profits, Buffett averaged 20% - Simons tripled him // In 2008 when every fund on the planet was bleeding out, Medallion went up 152% One rule held the whole thing together: never override the computer Zuckerman, the journalist who wrote the book on him: "No one in the investment world comes close" Bookmark & Watch the full Veritasium breakdown below explains how one equation built the most profitable fund in history ↓

Сarm1ne

19,111 просмотров • 5 месяцев назад

The most profitable strategy on Polymarket in 2026 is 30 years old and has generated $100 billion. It was not invented by a trader. It was invented by a mathematician Jim Simons, creator of Medallion Fund, the hedge fund that returned 66% annually for 30 years straight and outperformed Buffett, Soros, and all of Wall Street combined. The formula is publicly available, but on Wall Street you need billions and 300 PhDs to run it. On Polymarket you just need a laptop. The entire strategy in one line: small edge × many positions × low correlation. Let me break it down simply. Imagine a coin that lands heads 52 times out of 100. Flip it 10 times and you will not notice the difference. Flip it 10,000 times and you are in profit not probably, but mathematically. Simons did not guess where the market was going. He took hundreds of positions with a tiny edge on each one and waited for statistics to do the work. Some always lost, but the sum of wins was always greater than the sum of losses. On Polymarket this formula works better than anywhere else. Hundreds of markets, prices set by a crowd that makes mistakes every day, inefficiencies at every turn, and the entry threshold is not a billion but $100. I found a wallet that is already trading by this formula. 96 positions spread across politics and sports. Profit: $53K. Sharpe Ratio 3.43, which is higher than Medallion Fund itself and better than 91% of traders on the platform. You can open it and see every trade: 73% on Polymarket are trying to guess and losing. Maybe it is time to start counting?

The most profitable strategy on Polymarket in 2026 is 30 years old and has generated $100 billion. It was not invented by a trader. It was invented by a mathematician Jim Simons, creator of Medallion Fund, the hedge fund that returned 66% annually for 30 years straight and outperformed Buffett, Soros, and all of Wall Street combined. The formula is publicly available, but on Wall Street you need billions and 300 PhDs to run it. On Polymarket you just need a laptop. The entire strategy in one line: small edge × many positions × low correlation. Let me break it down simply. Imagine a coin that lands heads 52 times out of 100. Flip it 10 times and you will not notice the difference. Flip it 10,000 times and you are in profit not probably, but mathematically. Simons did not guess where the market was going. He took hundreds of positions with a tiny edge on each one and waited for statistics to do the work. Some always lost, but the sum of wins was always greater than the sum of losses. On Polymarket this formula works better than anywhere else. Hundreds of markets, prices set by a crowd that makes mistakes every day, inefficiencies at every turn, and the entry threshold is not a billion but $100. I found a wallet that is already trading by this formula. 96 positions spread across politics and sports. Profit: $53K. Sharpe Ratio 3.43, which is higher than Medallion Fund itself and better than 91% of traders on the platform. You can open it and see every trade: 73% on Polymarket are trying to guess and losing. Maybe it is time to start counting?

Blaze

534,602 просмотров • 7 месяцев назад

One of the best hedge fund managers of the last 30 years, Joel Greenblatt, earned over 40% a year for two decades. He found a serious flaw in ordinary indexes like the S&P 500 and the Russell 1000. Because of it, the indexes automatically buy too much of the overpriced stocks and too little of the cheap ones. In this video he reveals exactly what that flaw is. "The best mutual fund of the 2000s returned 18% a year. The average investor in that same fund lost 11% a year" "Why?" "Because every time the fund started to lag, people left. Every time the market fell, people left. And every time the fund did great, people piled in right after the run." Watch how the individual investor can beat the big players ↓

One of the best hedge fund managers of the last 30 years, Joel Greenblatt, earned over 40% a year for two decades. He found a serious flaw in ordinary indexes like the S&P 500 and the Russell 1000. Because of it, the indexes automatically buy too much of the overpriced stocks and too little of the cheap ones. In this video he reveals exactly what that flaw is. "The best mutual fund of the 2000s returned 18% a year. The average investor in that same fund lost 11% a year" "Why?" "Because every time the fund started to lag, people left. Every time the market fell, people left. And every time the fund did great, people piled in right after the run." Watch how the individual investor can beat the big players ↓

Damir Akaza

1,175,222 просмотров • 2 месяцев назад

Marvin Minsky, MIT professor and father of AI: "The best trader on Wall Street is no longer human. I spent fifty years proving the mind is just a machine built from smaller machines, and once that's true, nothing stops a machine from being the house. it already is." this free lecture holds the entire "AI edge" the funds and the gurus sell, and the man teaching it founded the field itself and put his whole MIT course online for free. at the board it's simple. Minsky's idea is that there is no magic in thinking. a mind is a huge pile of small, mindless parts, each doing something simple, and intelligence is just what happens when enough of them work together. a trading machine is the same trick: thousands of simple rules stacked until an edge appears. that's the whole "AI", minus the mystery. Minsky taught this at MIT and published "The Society of Mind" in 1986. the course has been free ever since. same point as my casino piece above: the house wins with many small mindless advantages stacked, not with one born genius. the ideas are free and every AI lab and every fund already has them. what they cannot sell you is the data and the compute to actually build the machine. that is the real moat now, and no lecture can hand it to you.

Marvin Minsky, MIT professor and father of AI: "The best trader on Wall Street is no longer human. I spent fifty years proving the mind is just a machine built from smaller machines, and once that's true, nothing stops a machine from being the house. it already is." this free lecture holds the entire "AI edge" the funds and the gurus sell, and the man teaching it founded the field itself and put his whole MIT course online for free. at the board it's simple. Minsky's idea is that there is no magic in thinking. a mind is a huge pile of small, mindless parts, each doing something simple, and intelligence is just what happens when enough of them work together. a trading machine is the same trick: thousands of simple rules stacked until an edge appears. that's the whole "AI", minus the mystery. Minsky taught this at MIT and published "The Society of Mind" in 1986. the course has been free ever since. same point as my casino piece above: the house wins with many small mindless advantages stacked, not with one born genius. the ideas are free and every AI lab and every fund already has them. what they cannot sell you is the data and the compute to actually build the machine. that is the real moat now, and no lecture can hand it to you.

Voltex

27,976 просмотров • 2 месяцев назад

My friend got laid off from a hedge fund last November He was making $2.1M/year running their quant desk Instead of applying to another fund - he took their entire strategy framework and rebuilt it on Polymarket 1300$ → 187,564$ in 3 weeks Total cost: $200/month for Claude, $50/month VPS He said: "The models I built for the fund work better on Polymarket, because on Wall Street you compete against other quants. On Polymarket you compete against guys who bet based on Twitter polls" He rebuilt a 4-factor model in one weekend Same math his fund ran on $800M AUM: Momentum scoring: track 400+ markets, buy when a contract moves 10¢+ with rising volume Mean reversion: when a contract overshoots 15¢+ in under 2 hours - fade it Volatility regime detection: hidden Markov model classifies low-vol vs high-vol every hour. Switches strategy automatically Correlation breakdown: 200+ market pairs monitored. When two normally correlated contracts decorrelate - one is wrong. Trade the lagging one. All 4 run simultaneously COPY HIM: Portfolio optimizer combines the scores Fractional Kelly sizing, max 5% per market, 15 concurrent positions His fund's flagship returned 19% last year on $800M His bot returned 144,000% in 3 weeks on $1300 He doesn't need to work anymore

My friend got laid off from a hedge fund last November He was making $2.1M/year running their quant desk Instead of applying to another fund - he took their entire strategy framework and rebuilt it on Polymarket 1300$ → 187,564$ in 3 weeks Total cost: $200/month for Claude, $50/month VPS He said: "The models I built for the fund work better on Polymarket, because on Wall Street you compete against other quants. On Polymarket you compete against guys who bet based on Twitter polls" He rebuilt a 4-factor model in one weekend Same math his fund ran on $800M AUM: Momentum scoring: track 400+ markets, buy when a contract moves 10¢+ with rising volume Mean reversion: when a contract overshoots 15¢+ in under 2 hours - fade it Volatility regime detection: hidden Markov model classifies low-vol vs high-vol every hour. Switches strategy automatically Correlation breakdown: 200+ market pairs monitored. When two normally correlated contracts decorrelate - one is wrong. Trade the lagging one. All 4 run simultaneously COPY HIM: Portfolio optimizer combines the scores Fractional Kelly sizing, max 5% per market, 15 concurrent positions His fund's flagship returned 19% last year on $800M His bot returned 144,000% in 3 weeks on $1300 He doesn't need to work anymore

Hrundel75 🐷

309,421 просмотров • 6 месяцев назад

Jim Simons made 66% a year for thirty years. Nobody has come close. Not Buffett. Not Soros. Not Druckenmiller. Every quant fund since has tried to reverse-engineer what Renaissance actually does. They keep landing on the same wrong answer: "More data. More compute. More simulations." Last November, a mathematician from Stanford gave a lecture that explains why they'll never catch up. His name is Persi Diaconis. He's the world's authority on when a simulation is telling you the truth and when it's telling you a story. His conclusion after forty years of research: most of the simulations Wall Street runs today are giving persistently wrong results, and no amount of GPU will fix it. The answer isn't more compute. The answer is proof. Simons required a proof before deploying a strategy. That's the part nobody copied. That's the part they can't. Lecture below. Under an hour. The most important hour you'll spend on markets this year.

Jim Simons made 66% a year for thirty years. Nobody has come close. Not Buffett. Not Soros. Not Druckenmiller. Every quant fund since has tried to reverse-engineer what Renaissance actually does. They keep landing on the same wrong answer: "More data. More compute. More simulations." Last November, a mathematician from Stanford gave a lecture that explains why they'll never catch up. His name is Persi Diaconis. He's the world's authority on when a simulation is telling you the truth and when it's telling you a story. His conclusion after forty years of research: most of the simulations Wall Street runs today are giving persistently wrong results, and no amount of GPU will fix it. The answer isn't more compute. The answer is proof. Simons required a proof before deploying a strategy. That's the part nobody copied. That's the part they can't. Lecture below. Under an hour. The most important hour you'll spend on markets this year.

kairos

93,367 просмотров • 2 месяцев назад

Jim Simons made 66%/YEAR for thirty years at Renaissance and never let an outside dollar through the door. Andrew Lo runs the MIT Laboratory for Financial Engineering and trained half the senior quants at Citadel, AQR, and Two Sigma. In 2019 they sat down at MIT for one hour and 28 minutes. The only time Simons ever talked publicly about money with someone who understood the math. Sitting on the Finance at MIT channel. Almost nobody outside academia has watched it through. Bookmark it tonight. Then read the article below.

Jim Simons made 66%/YEAR for thirty years at Renaissance and never let an outside dollar through the door. Andrew Lo runs the MIT Laboratory for Financial Engineering and trained half the senior quants at Citadel, AQR, and Two Sigma. In 2019 they sat down at MIT for one hour and 28 minutes. The only time Simons ever talked publicly about money with someone who understood the math. Sitting on the Finance at MIT channel. Almost nobody outside academia has watched it through. Bookmark it tonight. Then read the article below.

zostaff

105,601 просмотров • 4 месяцев назад

My friend made $2 million last year running his own AI hedge fund. No MIT. No Stanford. No quant background. I asked him how he built the system from zero. He sent me the exact course that got him there. Bridgewater's 1 hour course on building an AI quant researcher. Their core team gave up the complete AI stack they run internally to manage $150 billion. If I had this a year ago, I would've built my hedge fund in a week instead of a year Bookmark this and read the article below. • 00:00 - building AI quant analyst • 25:30 - AI first hedge fund • 56:16 - inside Bridgewater engineering

My friend made $2 million last year running his own AI hedge fund. No MIT. No Stanford. No quant background. I asked him how he built the system from zero. He sent me the exact course that got him there. Bridgewater's 1 hour course on building an AI quant researcher. Their core team gave up the complete AI stack they run internally to manage $150 billion. If I had this a year ago, I would've built my hedge fund in a week instead of a year Bookmark this and read the article below. • 00:00 - building AI quant analyst • 25:30 - AI first hedge fund • 56:16 - inside Bridgewater engineering

Roan

32,996 просмотров • 2 месяцев назад

In 1961, two MIT professors beat roulette in Las Vegas. Not by counting. Not by luck. With a shoebox of transistors taped to their stomachs. Their edge was 44 percent over the house. The casino never figured out how. One of them invented the mathematics behind the internet. The other invented the modern hedge fund. His name was Claude Shannon. Yes, that Claude Shannon. In the summer of 1961 he built the world's first wearable computer in his basement in Cambridge. He wore it into a Nevada casino under his shirt. His partner was a 28-year-old math professor named Ed Thorp. Thorp tapped his toe when the ball passed a mark. Shannon's computer did the physics. It sang the answer into Thorp's ear as one of eight musical tones. Which quarter of the wheel the ball would land in. It worked. They tested it in Reno, then took it into the pit. The edge held. The device is now in a glass case at the MIT Museum. Credited as the first wearable computer in history. They quit after a few trips. The earpiece wire kept breaking. And in 1961 the wrong pit boss noticed and things got physical. Shannon wanted no part of that. He was a professor. Thorp had no such problem. He took the math to blackjack, wrote Beat the Dealer in 1962, and by 1964 every casino in Nevada had rewritten the rules to stop him. In 1969 he opened Princeton Newport Partners. Nineteen years. 20 percent a year. No losing quarter. Shannon went back to Cambridge and ran his own money. His personal portfolio compounded at 28 percent a year for 30 years. Better than any fund manager alive at the time. Nobody knew until his wife opened his books after he died. Two MIT professors. One shoebox. One summer in Nevada. The blueprint for the entire hedge fund industry. Thorp is 93. Shannon died in 2001. The shoebox is behind glass in Cambridge. Vegas learned to change the rules. Wall Street never did.

In 1961, two MIT professors beat roulette in Las Vegas. Not by counting. Not by luck. With a shoebox of transistors taped to their stomachs. Their edge was 44 percent over the house. The casino never figured out how. One of them invented the mathematics behind the internet. The other invented the modern hedge fund. His name was Claude Shannon. Yes, that Claude Shannon. In the summer of 1961 he built the world's first wearable computer in his basement in Cambridge. He wore it into a Nevada casino under his shirt. His partner was a 28-year-old math professor named Ed Thorp. Thorp tapped his toe when the ball passed a mark. Shannon's computer did the physics. It sang the answer into Thorp's ear as one of eight musical tones. Which quarter of the wheel the ball would land in. It worked. They tested it in Reno, then took it into the pit. The edge held. The device is now in a glass case at the MIT Museum. Credited as the first wearable computer in history. They quit after a few trips. The earpiece wire kept breaking. And in 1961 the wrong pit boss noticed and things got physical. Shannon wanted no part of that. He was a professor. Thorp had no such problem. He took the math to blackjack, wrote Beat the Dealer in 1962, and by 1964 every casino in Nevada had rewritten the rules to stop him. In 1969 he opened Princeton Newport Partners. Nineteen years. 20 percent a year. No losing quarter. Shannon went back to Cambridge and ran his own money. His personal portfolio compounded at 28 percent a year for 30 years. Better than any fund manager alive at the time. Nobody knew until his wife opened his books after he died. Two MIT professors. One shoebox. One summer in Nevada. The blueprint for the entire hedge fund industry. Thorp is 93. Shannon died in 2001. The shoebox is behind glass in Cambridge. Vegas learned to change the rules. Wall Street never did.

Veles

141,490 просмотров • 2 месяцев назад