正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Before Jeff Bezos built Amazon, he worked for a computer scientist who extracted $50,000,000,000 using "Ghost Patterns" David Shaw didn't know anything about finance. He built massive supercomputers to treat the stock market as a pure data structure. Instead of reading the news, his code hunts for "Ghost Patterns"... show more

ludoonchart

2,789 subscribers

218,668 次观看 • 5 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

A single algorithmic firm quietly trades $50,000,000,000 every single day Hudson River Trading (HRT) controls 10% of the ENTIRE US stock market. They don’t draw trendlines. They use pure math like Hidden Markov Models to decode invisible regimes from noise If 10% of the market is controlled by pure math, what is your actual edge? Drop your thoughts in the comments Bookmark & watch HRT's Head of AI explain how their algorithms dominate the market below. Then read the quoted thread to see the exact math they use

A single algorithmic firm quietly trades $50,000,000,000 every single day Hudson River Trading (HRT) controls 10% of the ENTIRE US stock market. They don’t draw trendlines. They use pure math like Hidden Markov Models to decode invisible regimes from noise If 10% of the market is controlled by pure math, what is your actual edge? Drop your thoughts in the comments Bookmark & watch HRT's Head of AI explain how their algorithms dominate the market below. Then read the quoted thread to see the exact math they use

ludoonchart

166,328 次观看 • 5 个月前

A quantitative fund founded by pro poker players quietly controls an $800,000,000,000 options empire Susquehanna (SIG) handles 20% of the US options market. They treat trading like a solved math equation, using pure probability to extract the house edge Are you the casino calculating probabilities, or the gambler hoping for a lucky pump? Be honest below Bookmark & watch their founder explain how poker built a $67B fortune. Then read the quoted post to see how another giant dominates the market

A quantitative fund founded by pro poker players quietly controls an $800,000,000,000 options empire Susquehanna (SIG) handles 20% of the US options market. They treat trading like a solved math equation, using pure probability to extract the house edge Are you the casino calculating probabilities, or the gambler hoping for a lucky pump? Be honest below Bookmark & watch their founder explain how poker built a $67B fortune. Then read the quoted post to see how another giant dominates the market

ludoonchart

131,573 次观看 • 5 个月前

How a math PhD built a $10,000,000,000 empire with exactly ZERO human traders. Alexander Gerko founded XTX Markets. They trade $300 Billion every single day. No charts, no financial news, no stress. Just pure machine learning predicting price action. While retail traders draw support lines and panic, his automated models systematically extract their liquidity. Bookmark & watch Bloomberg break down his "no humans" strategy. Then read below to see exactly how these quantitative systems are built

How a math PhD built a $10,000,000,000 empire with exactly ZERO human traders. Alexander Gerko founded XTX Markets. They trade $300 Billion every single day. No charts, no financial news, no stress. Just pure machine learning predicting price action. While retail traders draw support lines and panic, his automated models systematically extract their liquidity. Bookmark & watch Bloomberg break down his "no humans" strategy. Then read below to see exactly how these quantitative systems are built

ludoonchart

61,423 次观看 • 5 个月前

David Tepper on what to do when you have zero edge: "i don't have an opinion on the stock market. i just don't feel it being involved. i'm here on the bond market... i definitely have more of an opinion on this one." most guys feel physically sick if they are not in an active trade. if the market is chopping sideways in a muddy range, they will just force an entry anyway. they sit there clicking buttons and handing their account balance to the algos out of pure boredom Tepper runs a massive fund, and his biggest flex is simply admitting when he has no clue what the stock market is about to do instead of guessing, he takes his money and moves it to a completely different market where the setup is actually clean and the central banks are telling him exactly what they want you do not have to trade every single day. you do not have to trade the same ticker all year. if the chart looks like trash and you have no read on it, sitting in cash is a real position stop forcing plays just to feel something. only step in when the math makes sense bookmark and watch the 2016 archive here

David Tepper on what to do when you have zero edge: "i don't have an opinion on the stock market. i just don't feel it being involved. i'm here on the bond market... i definitely have more of an opinion on this one." most guys feel physically sick if they are not in an active trade. if the market is chopping sideways in a muddy range, they will just force an entry anyway. they sit there clicking buttons and handing their account balance to the algos out of pure boredom Tepper runs a massive fund, and his biggest flex is simply admitting when he has no clue what the stock market is about to do instead of guessing, he takes his money and moves it to a completely different market where the setup is actually clean and the central banks are telling him exactly what they want you do not have to trade every single day. you do not have to trade the same ticker all year. if the chart looks like trash and you have no read on it, sitting in cash is a real position stop forcing plays just to feel something. only step in when the math makes sense bookmark and watch the 2016 archive here

ludoonchart

420,069 次观看 • 3 个月前

In this video, I explain What is a stock? What is the stock market? How do investors make money? Why do companies invite people to take part ownership of their companies as shareholders? Who is a stockbroker? How do you create a stock investing account? How do you buy a stock? Common mistakes beginners to the stock market make and how to avoid them All in 8 minutes 30s This video be worth its weight in gold for those who don’t know anything about the stock market and want to know what’s it’s all about and how to get started.

In this video, I explain What is a stock? What is the stock market? How do investors make money? Why do companies invite people to take part ownership of their companies as shareholders? Who is a stockbroker? How do you create a stock investing account? How do you buy a stock? Common mistakes beginners to the stock market make and how to avoid them All in 8 minutes 30s This video be worth its weight in gold for those who don’t know anything about the stock market and want to know what’s it’s all about and how to get started.

Judah MD

24,806 次观看 • 4 个月前

In 2014 a quant at Two Sigma quit his job, waited two months, then hacked back into their network and walked out with the trading algorithms that had made the fund billions. He planned to start his own hedge fund with them. Two Sigma manages $52 billion and was founded by the math PhD who sat next to Jeff Bezos at D.E. Shaw. They almost lost the formula to a former employee with a laptop. The full story is on a YouTube channel almost no one in finance reads. Bookmark it tonight. Then read the article below.

In 2014 a quant at Two Sigma quit his job, waited two months, then hacked back into their network and walked out with the trading algorithms that had made the fund billions. He planned to start his own hedge fund with them. Two Sigma manages $52 billion and was founded by the math PhD who sat next to Jeff Bezos at D.E. Shaw. They almost lost the formula to a former employee with a laptop. The full story is on a YouTube channel almost no one in finance reads. Bookmark it tonight. Then read the article below.

zostaff

55,338 次观看 • 4 个月前

George Soros on why having too much conviction is a trap: "for others, the mistake is a source of shame. for me, admitting mistakes is a source of pride." most traders treat their positions like a religion. they marry a thesis and defend it to the death. when the chart actually goes against them, they feel embarrassed Soros is famous for putting on massive trades and then violently reversing them a day later if the data changes. he has zero problem contradicting himself. he never cares about looking stupid to the public if your self-worth is tied to your market analysis, you will freeze when it's time to cut a bad trade. you'll make up excuses just to avoid the sting of being wrong treat your ideas as disposable. the second a setup is invalidated, kill it and move on. pride doesn't pay the bills. flexibility does bookmark and watch the 1998 interview below

George Soros on why having too much conviction is a trap: "for others, the mistake is a source of shame. for me, admitting mistakes is a source of pride." most traders treat their positions like a religion. they marry a thesis and defend it to the death. when the chart actually goes against them, they feel embarrassed Soros is famous for putting on massive trades and then violently reversing them a day later if the data changes. he has zero problem contradicting himself. he never cares about looking stupid to the public if your self-worth is tied to your market analysis, you will freeze when it's time to cut a bad trade. you'll make up excuses just to avoid the sting of being wrong treat your ideas as disposable. the second a setup is invalidated, kill it and move on. pride doesn't pay the bills. flexibility does bookmark and watch the 1998 interview below

ludoonchart

171,984 次观看 • 3 个月前

Vegas banned him. So he wrote an algorithm, moved to Hong Kong, and extracted $1 Billion from the betting crowd. As this Bloomberg documentary shows, Bill Benter didn’t guess. He mathematically exploited the public's emotional mispricing. Today, millions of dollars are being extracted from Polymarket using this exact same framework. While the crowd trades on "vibes," algorithms are siphoning the pool. Bookmark this, then read the 77-year-old math framework below to build your edge

Vegas banned him. So he wrote an algorithm, moved to Hong Kong, and extracted $1 Billion from the betting crowd. As this Bloomberg documentary shows, Bill Benter didn’t guess. He mathematically exploited the public's emotional mispricing. Today, millions of dollars are being extracted from Polymarket using this exact same framework. While the crowd trades on "vibes," algorithms are siphoning the pool. Bookmark this, then read the 77-year-old math framework below to build your edge

ludoonchart

292,331 次观看 • 5 个月前

The engineer who built Claude Code just dropped a 28-minute video on how to write prompts that actually work. I've seen $300 courses that don't cover what he shows in the first 10 minutes. CLAUDE.md files, memory shortcuts, parallel sessions, prompting patterns. Watch it, then read the guide below on the Claude features 99% of users never find.

The engineer who built Claude Code just dropped a 28-minute video on how to write prompts that actually work. I've seen $300 courses that don't cover what he shows in the first 10 minutes. CLAUDE.md files, memory shortcuts, parallel sessions, prompting patterns. Watch it, then read the guide below on the Claude features 99% of users never find.

Anatoli Kopadze

754,055 次观看 • 2 个月前

A magician spent 10 years rigging card decks. then he became a Stanford professor and proved the market works the same way. he published the math for free. Wall Street still pretends nobody saw it. his name is Persi Diaconis. his quote: "I've spent my life on two tricks. making a rigged deck look random, and making a random one look rigged. the market is the first trick, and almost nobody catches it." the tilt is invisible to human intuition. a 50.75% edge buried inside what looks like pure chance. your gut reads a losing week as a broken system and a hot streak as skill. wrong both times. that's exactly why funds hand the decision to the math. it takes thousands of trades for a 51% edge to separate from luck. almost everyone quits before then. the ones who didn't quit manage the money now. Diaconis has taught this for decades. the probability goes back to 1713. the lecture is free. the patience to trust it past your own eyes is the edge.

A magician spent 10 years rigging card decks. then he became a Stanford professor and proved the market works the same way. he published the math for free. Wall Street still pretends nobody saw it. his name is Persi Diaconis. his quote: "I've spent my life on two tricks. making a rigged deck look random, and making a random one look rigged. the market is the first trick, and almost nobody catches it." the tilt is invisible to human intuition. a 50.75% edge buried inside what looks like pure chance. your gut reads a losing week as a broken system and a hot streak as skill. wrong both times. that's exactly why funds hand the decision to the math. it takes thousands of trades for a 51% edge to separate from luck. almost everyone quits before then. the ones who didn't quit manage the money now. Diaconis has taught this for decades. the probability goes back to 1713. the lecture is free. the patience to trust it past your own eyes is the edge.

Tigerflow

97,777 次观看 • 2 个月前

a flood scientist accidentally solved stock market prediction in 1951 he wasn't studying markets. he was modeling nile river overflow patterns for the egyptian government harold hurst discovered something that broke the assumptions behind modern finance: natural systems have "memory" - the recent past predicts the near future at a statistically measurable level quants found his paper buried in hydrology journals 40 years later, built regime-detection desks around it, kept it off retail radar the number is called the Hurst Exponent. single value, 0 to 1: above 0.5 = market has momentum, recent moves predict continuation below 0.5 = market is mean-reverting, extremes snap back to the average at 0.5 = pure random walk, no edge exists SPY's 3-year hurst on daily closes: 0.61 not random. statistically confirmed to trend. a flood hydrologist proved it before most traders alive were born when H > 0.58: trend-following has positive expected value - bet with momentum, hold longer when H < 0.42: mean reversion has the edge - fade the extremes, take fast profits you're not predicting direction. you're detecting the regime first, then picking the right strategy for it this is the actual reason 90% of traders lose - not bad entries, not bad exits, not bad indicators - just using a trend strategy in a mean-reverting market and a mean-reversion strategy in a trending one wrong tool. wrong regime. every time formula is in any time series textbook. raw data is free on yahoo finance. implementation is 40 lines of python Bookmark this before you forget they built billion-dollar regime-detection desks on a nile river scientist's math while you were drawing support lines on the wrong type of market entirely

a flood scientist accidentally solved stock market prediction in 1951 he wasn't studying markets. he was modeling nile river overflow patterns for the egyptian government harold hurst discovered something that broke the assumptions behind modern finance: natural systems have "memory" - the recent past predicts the near future at a statistically measurable level quants found his paper buried in hydrology journals 40 years later, built regime-detection desks around it, kept it off retail radar the number is called the Hurst Exponent. single value, 0 to 1: above 0.5 = market has momentum, recent moves predict continuation below 0.5 = market is mean-reverting, extremes snap back to the average at 0.5 = pure random walk, no edge exists SPY's 3-year hurst on daily closes: 0.61 not random. statistically confirmed to trend. a flood hydrologist proved it before most traders alive were born when H > 0.58: trend-following has positive expected value - bet with momentum, hold longer when H < 0.42: mean reversion has the edge - fade the extremes, take fast profits you're not predicting direction. you're detecting the regime first, then picking the right strategy for it this is the actual reason 90% of traders lose - not bad entries, not bad exits, not bad indicators - just using a trend strategy in a mean-reverting market and a mean-reversion strategy in a trending one wrong tool. wrong regime. every time formula is in any time series textbook. raw data is free on yahoo finance. implementation is 40 lines of python Bookmark this before you forget they built billion-dollar regime-detection desks on a nile river scientist's math while you were drawing support lines on the wrong type of market entirely

Livsun

15,492 次观看 • 1 个月前

before Nassim Taleb made his fortune shorting the 2008 collapse, an old veteran on the trading floor gave him a terrifying warning "he grabbed me, pointed to a guy across the room and said: 'you see ed over there? he made $7 million in 7 years... and he just lost it all in exactly 7 seconds'" that was the exact moment Taleb realized that 99% of wall street was playing a rigged game of russian roulette "average funds hide their risk to look smart - they make small, steady profits every single day, completely blind to the fact that one rare event will eventually wipe out their entire existence" "we do the exact opposite - we take tiny, calculated losses every day, and position our entire portfolio to make billions the second the system completely breaks" Taleb didn't build his empire by trying to predict the market. he built it by assuming everyone else is fragile, and waiting for the inevitable hurricane to destroy them watch his legendary stanford masterclass where he breaks down this exact realization

before Nassim Taleb made his fortune shorting the 2008 collapse, an old veteran on the trading floor gave him a terrifying warning "he grabbed me, pointed to a guy across the room and said: 'you see ed over there? he made $7 million in 7 years... and he just lost it all in exactly 7 seconds'" that was the exact moment Taleb realized that 99% of wall street was playing a rigged game of russian roulette "average funds hide their risk to look smart - they make small, steady profits every single day, completely blind to the fact that one rare event will eventually wipe out their entire existence" "we do the exact opposite - we take tiny, calculated losses every day, and position our entire portfolio to make billions the second the system completely breaks" Taleb didn't build his empire by trying to predict the market. he built it by assuming everyone else is fragile, and waiting for the inevitable hurricane to destroy them watch his legendary stanford masterclass where he breaks down this exact realization

ludoonchart

142,964 次观看 • 4 个月前

Boris Cherny, the creator of Claude Code at Anthropic, just explained how he runs thousands of agents from his phone while he sleeps in this talk he breaks down exactly how he manages thousands of agents from his phone: - the 14% you lose to CLAUDE.md before typing a word - the architecture behind running a few thousand agents overnight - why the system matters more than the tool - the knowledge structure that makes everything findable, connected, and useful if you've been using Claude for months and every conversation still starts from scratch with zero memory and zero context, you don't have a system. you have a chat history instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed the guide is in the article below

Boris Cherny, the creator of Claude Code at Anthropic, just explained how he runs thousands of agents from his phone while he sleeps in this talk he breaks down exactly how he manages thousands of agents from his phone: - the 14% you lose to CLAUDE.md before typing a word - the architecture behind running a few thousand agents overnight - why the system matters more than the tool - the knowledge structure that makes everything findable, connected, and useful if you've been using Claude for months and every conversation still starts from scratch with zero memory and zero context, you don't have a system. you have a chat history instead of another show tonight, watch this make sure to bookmark it before it gets lost in your feed the guide is in the article below

Khairallah AL-Awady

86,507 次观看 • 4 个月前

Meiselas: When you have these dips of 5-7% in either direction, I want you to think about [Donald Trump] personally losing massive amounts of money. And he mentioned that today. He mentioned the stock market as a reason for the deal [with Iran]. You're starting to see why everything he's doing is from a position of personal panic versus actually focused on this country.

Meiselas: When you have these dips of 5-7% in either direction, I want you to think about [Donald Trump] personally losing massive amounts of money. And he mentioned that today. He mentioned the stock market as a reason for the deal [with Iran]. You're starting to see why everything he's doing is from a position of personal panic versus actually focused on this country.

MeidasClips

22,155 次观看 • 4 个月前

.CZ 🔶 BNB grew up with a dirt floor and no running water, but made the most of every chance to learn about technology. He didn't have much materially, but he was happy. As CZ's worldview expanded, he saw a more open way for people to own, protect, and move value globally. So he built Binance to make the freedom of money widely available. Is he as happy today as he was then? CZ says: “Equally happy - I’m still a little child inside.” That sense of curiosity & enthusiasm for tech within him has never left. When building from a place of pure, authentic intent, the joy itself becomes the strongest motivation and scales into impact.

.CZ 🔶 BNB grew up with a dirt floor and no running water, but made the most of every chance to learn about technology. He didn't have much materially, but he was happy. As CZ's worldview expanded, he saw a more open way for people to own, protect, and move value globally. So he built Binance to make the freedom of money widely available. Is he as happy today as he was then? CZ says: “Equally happy - I’m still a little child inside.” That sense of curiosity & enthusiasm for tech within him has never left. When building from a place of pure, authentic intent, the joy itself becomes the strongest motivation and scales into impact.

YZi Labs

19,317 次观看 • 5 个月前

This is how Amazon Founder Jeff Bezos avoids paying a personal income tax - For the last 20 years he’s had the same salary, $82,000 - He does this because a higher salary that would support his lifestyle would be subject to payroll and income tax, he doesn’t want to pay that - Instead all his money is in his stocks, those are never subject to any taxes as long as they aren’t sold - He takes out a loan and borrows against his stocks - The only money he’ll ever had to pay is the loan and interest on the loan This is common practice for billionaires so they avoid the majority or all of a personal income tax

This is how Amazon Founder Jeff Bezos avoids paying a personal income tax - For the last 20 years he’s had the same salary, $82,000 - He does this because a higher salary that would support his lifestyle would be subject to payroll and income tax, he doesn’t want to pay that - Instead all his money is in his stocks, those are never subject to any taxes as long as they aren’t sold - He takes out a loan and borrows against his stocks - The only money he’ll ever had to pay is the loan and interest on the loan This is common practice for billionaires so they avoid the majority or all of a personal income tax

Wall Street Apes

2,708,881 次观看 • 5 个月前

Warren Buffett was asked if anyone could turn $10,000 into $15 million using Ben Graham's principles: "yes, if they didn't try and do too much the first week, it requires patience which a lot of people don't have" "why doesn't everybody do it?" he answered - "because people would much rather be promised that they're going to win a lottery ticket next week than that they're going to get rich slowly" this is him explaining why he doesn't care if the stock exchange closes for two years, why he refuses to buy high-tech companies he can't predict, and what he says is the single biggest trap for investors in volatile markets "if your stock goes down 10% and that upsets you, it means you think the market knows more about the business than you do, and in that case, you're the patsy" "if you're in a poker game for 30 minutes and you don't know who the patsy is, you're the patsy" bookmark & watch this video below

Warren Buffett was asked if anyone could turn $10,000 into $15 million using Ben Graham's principles: "yes, if they didn't try and do too much the first week, it requires patience which a lot of people don't have" "why doesn't everybody do it?" he answered - "because people would much rather be promised that they're going to win a lottery ticket next week than that they're going to get rich slowly" this is him explaining why he doesn't care if the stock exchange closes for two years, why he refuses to buy high-tech companies he can't predict, and what he says is the single biggest trap for investors in volatile markets "if your stock goes down 10% and that upsets you, it means you think the market knows more about the business than you do, and in that case, you're the patsy" "if you're in a poker game for 30 minutes and you don't know who the patsy is, you're the patsy" bookmark & watch this video below

ludoonchart

110,947 次观看 • 2 个月前

Scott Bessent helped George Soros make roughly $3.5 billion on the Abenomics trade from 2012 to 2015 - but says the real edge in macro investing is much simpler: “we study history, we observe the present, and try to imagine the future” this is him explaining why macro isn’t really about predicting every economic number. Bessent looks for regime changes, policy mistakes and situations where the market is pricing one outcome while the range of possible outcomes is much wider Bessent says he doesn’t even use a Bloomberg terminal and instead looks through around 270 charts every night - searching for anomalies, things that are changing, or something in the market that simply looks unsustainable full interview below

Scott Bessent helped George Soros make roughly $3.5 billion on the Abenomics trade from 2012 to 2015 - but says the real edge in macro investing is much simpler: “we study history, we observe the present, and try to imagine the future” this is him explaining why macro isn’t really about predicting every economic number. Bessent looks for regime changes, policy mistakes and situations where the market is pricing one outcome while the range of possible outcomes is much wider Bessent says he doesn’t even use a Bloomberg terminal and instead looks through around 270 charts every night - searching for anomalies, things that are changing, or something in the market that simply looks unsustainable full interview below

ludoonchart

77,770 次观看 • 1 个月前

IN 1986 MIT FILMED THE LECTURE WHERE CODE STOPPED BEING CODE AND BECAME DATA 43 minutes from Gerald Sussman, in the most legendary intro programming course ever recorded. -> The idea that lands: to a program, your code is just data it can read and rewrite. He builds a program that does real calculus -- not by crunching numbers, but by reading the math as a list and transforming it piece by piece. Then he shows the trick hiding under all of it: in this language, code and data are the same material. Forty years later that is exactly what an AI coding agent is -- a program that reads your code as data, rewrites it, and hands it back. Sussman drew the whole idea on a blackboard in 1986. Writing code was never the deepest skill -- understanding that code itself is data a program can manipulate is. This is where you learn it. Most people think AI writing code is brand new. The ones who watch this saw the blueprint 40 years ago. Bookmark & Watch it. This one's a legend ↓

slash1s

22,107 次观看 • 3 个月前

Alex Karp on the trap of listening to analysts: "almost everybody else has outsourced value assessment to experts. but i can't think of any expert class that's been right about anything substantive in the last 20 years." most people just want to be told what to do. they sit on their hands. they wait for an upgrade or a newsletter to tell them it is safe to buy if you need someone else to validate your entry, you are exit liquidity analysts do not predict the market. they just look at a chart after a huge green candle and write a report explaining why it happened Karp built his company by ignoring the standard playbook. he knows how this works. you wait for wall street to give you permission, and the trade is already over stop asking for a safe setup. look at the actual numbers. hit the button before it hits the news bookmark and watch the interview below

Alex Karp on the trap of listening to analysts: "almost everybody else has outsourced value assessment to experts. but i can't think of any expert class that's been right about anything substantive in the last 20 years." most people just want to be told what to do. they sit on their hands. they wait for an upgrade or a newsletter to tell them it is safe to buy if you need someone else to validate your entry, you are exit liquidity analysts do not predict the market. they just look at a chart after a huge green candle and write a report explaining why it happened Karp built his company by ignoring the standard playbook. he knows how this works. you wait for wall street to give you permission, and the trade is already over stop asking for a safe setup. look at the actual numbers. hit the button before it hits the news bookmark and watch the interview below

ludoonchart

30,962 次观看 • 3 个月前