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A quantum physicist lost his funding last year. He's since pulled $487,000 off Polymarket - with the math his grant was supposed to pay for. He doesn't predict where Bitcoin goes. He reads whether it's pinned in place right now - or free to run. His profile: The lab...

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cvxv666

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36,161 просмотров • 2 месяцев назад •via X (Twitter)

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Jane Street quant just stole and fit a $40-million trading brain inside a box that costs $4,000 and quietly walked out of the building with it. It's the new AMD Ryzen AI Halo. Eleven weeks later, that computer has made him $400,000 - from his bedroom. His wallet: The model doesn't guess where Bitcoin goes. It simulates it. Every five minutes it reads the candle into a pattern net - break of structure, order blocks, the gaps where liquidity hides. Then it hands that read to MiroFish: a simulation that runs the next five minutes forward thousands of times, sorts every path into three outcomes - bear, neutral, breakout and threads the median straight through them. That median is where price actually lands. Not where the crowd hopes. When that fair value drifts 15¢ off the live book, the edge is real. It sizes by Kelly and fires. One button, no nerves. On the firm's cluster, one simulation like that ate serious hardware. The Halo box - 128GB of unified memory, a 200B model held whole, runs thousands a minute, offline, while he sleeps. No cloud. No login the firm can kill. The desk still owns the model. It just can't aim it where he aims it - Polymarket's too small for a fund that size to touch. He took the edge home. Two clicks and you trade right beside it:
0:37

Jane Street quant just stole and fit a $40-million trading brain inside a box that costs $4,000 and quietly walked out of the building with it. It's the new AMD Ryzen AI Halo. Eleven weeks later, that computer has made him $400,000 - from his bedroom. His wallet: The model doesn't guess where Bitcoin goes. It simulates it. Every five minutes it reads the candle into a pattern net - break of structure, order blocks, the gaps where liquidity hides. Then it hands that read to MiroFish: a simulation that runs the next five minutes forward thousands of times, sorts every path into three outcomes - bear, neutral, breakout and threads the median straight through them. That median is where price actually lands. Not where the crowd hopes. When that fair value drifts 15¢ off the live book, the edge is real. It sizes by Kelly and fires. One button, no nerves. On the firm's cluster, one simulation like that ate serious hardware. The Halo box - 128GB of unified memory, a 200B model held whole, runs thousands a minute, offline, while he sleeps. No cloud. No login the firm can kill. The desk still owns the model. It just can't aim it where he aims it - Polymarket's too small for a fund that size to touch. He took the edge home. Two clicks and you trade right beside it:

cvxv666

94,183 просмотров • 2 месяцев назад

A 31-year-old blitz chess master who never cracked the top 100 just turned $500 into $153,279 - with Claude and simulation engine. Twenty years reading a board faster than the other guy, for prize pools that barely covered the flights. Then he pointed that speed at Polymarket. His wallet: No tournament ever paid him like a Claude agent running 24/7. Everyone trades Bitcoin like it mean-reverts on the 5-minute. It doesn't. That gap is the whole edge. Here's the stack. Every five minutes a BTC candle closes. A Claude agent reads it into a pattern net - price, momentum, volume in; BOS, order block, FVG out. A neuron fires. It doesn't trade yet. It hands off to MiroFish - a relationship-graph sim that threads a median path through three live clusters: bear, neutral prime, catalyst. That path is where BTC actually lands. Fair value drifts 15¢ off the order book? That's the edge. Size by Kelly. Pull the trigger. Read the candle. Fire the net. Run the graph. No thesis. No conviction. It never stops sharpening, re-running the graph every few seconds, rewriting its own threshold nightly. 92% of Polymarket traders lose. The winners are bots. This one just reads two endpoints and presses one button. 13,290 times. The edge is on-chain. Read it with this bot before it gets crowded:
1:32

A 31-year-old blitz chess master who never cracked the top 100 just turned $500 into $153,279 - with Claude and simulation engine. Twenty years reading a board faster than the other guy, for prize pools that barely covered the flights. Then he pointed that speed at Polymarket. His wallet: No tournament ever paid him like a Claude agent running 24/7. Everyone trades Bitcoin like it mean-reverts on the 5-minute. It doesn't. That gap is the whole edge. Here's the stack. Every five minutes a BTC candle closes. A Claude agent reads it into a pattern net - price, momentum, volume in; BOS, order block, FVG out. A neuron fires. It doesn't trade yet. It hands off to MiroFish - a relationship-graph sim that threads a median path through three live clusters: bear, neutral prime, catalyst. That path is where BTC actually lands. Fair value drifts 15¢ off the order book? That's the edge. Size by Kelly. Pull the trigger. Read the candle. Fire the net. Run the graph. No thesis. No conviction. It never stops sharpening, re-running the graph every few seconds, rewriting its own threshold nightly. 92% of Polymarket traders lose. The winners are bots. This one just reads two endpoints and presses one button. 13,290 times. The edge is on-chain. Read it with this bot before it gets crowded:

cvxv666

39,843 просмотров • 2 месяцев назад

Citadel quant quit and walked out with one thing fund never lets leave the building: 120-year-old math that sees a market crash before the chart does. Every big desk runs it. None of them explain it. He turned it into an HMM bot running BTC 5min markets and made $570,000. It switches strategy the second the regime flips and cuts everything the moment panic spikes. His wallet: Full breakdown below. Here's what they actually see. You look at a Bitcoin chart and see a price. A quant sees three states: bull, bear, sideways. The market's always in one. The only question that pays is which one comes next. That's the math. It's called a Markov chain, and it runs on one rule: where price goes next depends only on where it is now. You count how often each state flips to another and drop it into a grid. That grid is a map of the market. Now the part that feels illegal. Want the odds of a crash twelve steps out? You multiply that grid by itself twelve times. One line of math, and you've got the probability of every future state. Then it acts: run the trend when calm, flip to mean reversion in chop, cut everything when panic odds spike. It doesn't predict the future. It gives you the odds of every version of it, then sizes the bet to match. That's the edge. Renaissance ran 66% a year for 30 years on math like this. You can build the basic version in a weekend. Bookmark & read this before it gets buried.
0:42

Citadel quant quit and walked out with one thing fund never lets leave the building: 120-year-old math that sees a market crash before the chart does. Every big desk runs it. None of them explain it. He turned it into an HMM bot running BTC 5min markets and made $570,000. It switches strategy the second the regime flips and cuts everything the moment panic spikes. His wallet: Full breakdown below. Here's what they actually see. You look at a Bitcoin chart and see a price. A quant sees three states: bull, bear, sideways. The market's always in one. The only question that pays is which one comes next. That's the math. It's called a Markov chain, and it runs on one rule: where price goes next depends only on where it is now. You count how often each state flips to another and drop it into a grid. That grid is a map of the market. Now the part that feels illegal. Want the odds of a crash twelve steps out? You multiply that grid by itself twelve times. One line of math, and you've got the probability of every future state. Then it acts: run the trend when calm, flip to mean reversion in chop, cut everything when panic odds spike. It doesn't predict the future. It gives you the odds of every version of it, then sizes the bet to match. That's the edge. Renaissance ran 66% a year for 30 years on math like this. You can build the basic version in a weekend. Bookmark & read this before it gets buried.

cvxv666

93,596 просмотров • 1 месяц назад

US export-control disable Claude Fable 5 overnight. Not for what it said - for what one trader did with it. He turned an $11,000 wreck into $300,000 profit in five days. Then they pulled Claude Fable 5 from public hands. Too late - his bot's still running. His wallet: Every other Claude model still works. The two best ones don't. Anthropic's calling it a misunderstanding. Maybe. But think about what gets a model killed by export control overnight, no warning. Here's what Fable 5 actually did for him. It doesn't predict price. It computes the whole probability surface of a market - every outcome, weighted, faster than the market can correct itself. It finds the bets the crowd writes off as impossible, runs the real math, and buys them for pennies when the math disagrees. One of those just paid x205. A regular guy, a model this sharp, a market no regulator polices. They closed that door overnight - one night too late. He's holding one of the last builds that ever touched a live market. It's still on Polymarket right now, hunting the same mispriced tails. Fable 5 is locked. The algorithm it wrote is loose. You can't open the model anymore. You can still copy the wallet it built in two clicks:
0:46

US export-control disable Claude Fable 5 overnight. Not for what it said - for what one trader did with it. He turned an $11,000 wreck into $300,000 profit in five days. Then they pulled Claude Fable 5 from public hands. Too late - his bot's still running. His wallet: Every other Claude model still works. The two best ones don't. Anthropic's calling it a misunderstanding. Maybe. But think about what gets a model killed by export control overnight, no warning. Here's what Fable 5 actually did for him. It doesn't predict price. It computes the whole probability surface of a market - every outcome, weighted, faster than the market can correct itself. It finds the bets the crowd writes off as impossible, runs the real math, and buys them for pennies when the math disagrees. One of those just paid x205. A regular guy, a model this sharp, a market no regulator polices. They closed that door overnight - one night too late. He's holding one of the last builds that ever touched a live market. It's still on Polymarket right now, hunting the same mispriced tails. Fable 5 is locked. The algorithm it wrote is loose. You can't open the model anymore. You can still copy the wallet it built in two clicks:

cvxv666

77,366 просмотров • 2 месяцев назад

Fired Jane Street quant walked out with ten years of private BTC trading data - and turned it into $1.5M He didn't build a bot. He built a simulator that sees the matrix - it runs every move Bitcoin can make before it makes one. His wallet: Here's what he actually built. A swarm of agents feeds ten years of stolen tick data into MiroFish - a god-tier agentic simulator. It doesn't forecast the next candle. It spins up a virtual market and plays Bitcoin forward through thousands of scenarios at once. Six agents each validate their own call. A trade only fires when they converge. They collect data 24/7, re-run the sim, and remember every pattern, every reaction, every signal they've ever seen. He doesn't predict the future. The math already knows it. He just reads the numbers and takes the money. I've been copying him for a week and PnL prints like a money printer on steroids. Here's the part the firms don't want public: MiroFish just broke algo trading. The desks are quietly building their own simulators right now. The window where one solo wallet can run this is still open - barely. Save this and build your own - or skip the homework and copy his with this bot:
0:43

Fired Jane Street quant walked out with ten years of private BTC trading data - and turned it into $1.5M He didn't build a bot. He built a simulator that sees the matrix - it runs every move Bitcoin can make before it makes one. His wallet: Here's what he actually built. A swarm of agents feeds ten years of stolen tick data into MiroFish - a god-tier agentic simulator. It doesn't forecast the next candle. It spins up a virtual market and plays Bitcoin forward through thousands of scenarios at once. Six agents each validate their own call. A trade only fires when they converge. They collect data 24/7, re-run the sim, and remember every pattern, every reaction, every signal they've ever seen. He doesn't predict the future. The math already knows it. He just reads the numbers and takes the money. I've been copying him for a week and PnL prints like a money printer on steroids. Here's the part the firms don't want public: MiroFish just broke algo trading. The desks are quietly building their own simulators right now. The window where one solo wallet can run this is still open - barely. Save this and build your own - or skip the homework and copy his with this bot:

cvxv666

131,913 просмотров • 2 месяцев назад

Automation engineer sent two AI to war. One fights to place the trade. The other fights to prove it's a mistake. Only what survives the battle gets his money - $392,000 profit of it so far. He doesn't pick the trades anymore. He built loop and stepped back. His wallet: The article below explains why that second AI, the one whose only job is to say no - is the entire game. Without a real check, you don't have a loop. You have a model agreeing with itself until the account's empty. He builds these loops for a living - agents that ship code and run themselves. One weekend he built one that trades. Here's how the war actually plays out. The maker reads the 5-minute candle and builds a case: buy Up, here's why. The checker has one purpose - break that case. Wrong regime, thin edge, bad timing. Poke one hole and the trade dies on the spot. Only the trades the checker can't kill ever reach the market. Every night the loop writes down which calls went wrong and tightens its own rules. It stops itself cold at the daily loss cap - nothing runs forever. $5,000 → $392,000. The checker vetoes far more trades than it lets through. That's the point. He didn't build a smarter bot. He built one that has to win an argument before it spends a dollar. Save this and read the breakdown below - it's the clearest explanation of loop engineering on your timeline, and it's the exact idea this whole system runs on. Or skip the build: the loop's live right now, two AI arguing over the next candle. Two clicks and its winners land in your wallet too:
0:45

Automation engineer sent two AI to war. One fights to place the trade. The other fights to prove it's a mistake. Only what survives the battle gets his money - $392,000 profit of it so far. He doesn't pick the trades anymore. He built loop and stepped back. His wallet: The article below explains why that second AI, the one whose only job is to say no - is the entire game. Without a real check, you don't have a loop. You have a model agreeing with itself until the account's empty. He builds these loops for a living - agents that ship code and run themselves. One weekend he built one that trades. Here's how the war actually plays out. The maker reads the 5-minute candle and builds a case: buy Up, here's why. The checker has one purpose - break that case. Wrong regime, thin edge, bad timing. Poke one hole and the trade dies on the spot. Only the trades the checker can't kill ever reach the market. Every night the loop writes down which calls went wrong and tightens its own rules. It stops itself cold at the daily loss cap - nothing runs forever. $5,000 → $392,000. The checker vetoes far more trades than it lets through. That's the point. He didn't build a smarter bot. He built one that has to win an argument before it spends a dollar. Save this and read the breakdown below - it's the clearest explanation of loop engineering on your timeline, and it's the exact idea this whole system runs on. Or skip the build: the loop's live right now, two AI arguing over the next candle. Two clicks and its winners land in your wallet too:

cvxv666

42,548 просмотров • 2 месяцев назад

A few weeks ago the US government forced Claude Fable 5 offline. It's back. And before they switch it off again, this is your shot to point the most powerful AI on earth at something of your own. Take the 26-year-old in Toronto. His bot went dark the day Fable 5 got pulled. The day it came back, it woke up and started printing again - $568,000 profit and counting. His wallet: Here's the story. When the ban hit, Anthropic had to switch Fable 5 off for everyone. They called it a misunderstanding with the government. Whatever it was, every bot running on that model stopped cold. His was one of them. He didn't rebuild a thing. The loop just sat there, paused, for weeks. Here's what that loop actually does. It's not one prompt to an AI. It's an agentic loop: a team of agents running on repeat. One reads the market, one places the trade, one tries to prove it wrong before a cent moves. Then it goes again, around the clock, keeping what works and dropping what doesn't. Fable 5 is the brain running that team. The exact model the government decided was too powerful to leave on. Point it at Bitcoin's 5-minute markets and it barely misses. Most of its trades close green, and it runs itself. He checks it from his phone. The government could switch off the model. It couldn't switch off the idea. Now the model's back, and so is the money. Save this before next headline. You'll want it the day Fable 5 hits offline again.
0:39

A few weeks ago the US government forced Claude Fable 5 offline. It's back. And before they switch it off again, this is your shot to point the most powerful AI on earth at something of your own. Take the 26-year-old in Toronto. His bot went dark the day Fable 5 got pulled. The day it came back, it woke up and started printing again - $568,000 profit and counting. His wallet: Here's the story. When the ban hit, Anthropic had to switch Fable 5 off for everyone. They called it a misunderstanding with the government. Whatever it was, every bot running on that model stopped cold. His was one of them. He didn't rebuild a thing. The loop just sat there, paused, for weeks. Here's what that loop actually does. It's not one prompt to an AI. It's an agentic loop: a team of agents running on repeat. One reads the market, one places the trade, one tries to prove it wrong before a cent moves. Then it goes again, around the clock, keeping what works and dropping what doesn't. Fable 5 is the brain running that team. The exact model the government decided was too powerful to leave on. Point it at Bitcoin's 5-minute markets and it barely misses. Most of its trades close green, and it runs itself. He checks it from his phone. The government could switch off the model. It couldn't switch off the idea. Now the model's back, and so is the money. Save this before next headline. You'll want it the day Fable 5 hits offline again.

cvxv666

24,298 просмотров • 1 месяц назад

"Because AI took all the money." I sat down with Arthur Hayes (Arthur Hayes), co-founder of BitMEX and one of the most-read macro voices in crypto, and asked him the thing everyone's actually thinking: the ETFs launched, the institutions arrived, the infrastructure got built so why is crypto going nowhere? His answer wasn't a price target. It was a plumbing problem. "There's no cash to go to crypto. AI sucked it all up and it'll keep sucking it up until the bubble bursts." He's not trying to fight that. He told me he's "more concerned with capital preservation than capital accumulation" right now, sitting liquid while everyone else forces trades into a market with no fuel. What he's waiting for is one thing. He calls it "the big print." What stuck with me: he's not watching the candles, he's watching the printer. The money didn't disappear, it got reallocated. His entire edge is refusing to chase the cycle and staying liquid for the one moment that resets it. Most people are trying to win every month. He's trying to be ready for the print that defines a decade. Full conversation on New Era Finance Podcast. Are you positioned for where the money goes next, or where it just was?
3:26

"Because AI took all the money." I sat down with Arthur Hayes (Arthur Hayes), co-founder of BitMEX and one of the most-read macro voices in crypto, and asked him the thing everyone's actually thinking: the ETFs launched, the institutions arrived, the infrastructure got built so why is crypto going nowhere? His answer wasn't a price target. It was a plumbing problem. "There's no cash to go to crypto. AI sucked it all up and it'll keep sucking it up until the bubble bursts." He's not trying to fight that. He told me he's "more concerned with capital preservation than capital accumulation" right now, sitting liquid while everyone else forces trades into a market with no fuel. What he's waiting for is one thing. He calls it "the big print." What stuck with me: he's not watching the candles, he's watching the printer. The money didn't disappear, it got reallocated. His entire edge is refusing to chase the cycle and staying liquid for the one moment that resets it. Most people are trying to win every month. He's trying to be ready for the print that defines a decade. Full conversation on New Era Finance Podcast. Are you positioned for where the money goes next, or where it just was?

Michaël van de Poppe

40,113 просмотров • 2 месяцев назад

Poilievre "And I would also point out that he's done nothing here at home." "There's still no pipeline approved, no route, no builder, not a dollar of investment." "We don't know where the pipeline's going to start or end." "Two months ago they were saying it was going to go to Northern BC." "This morning they're telling the media that it might go to Southern BC" "This, this is a year into his prime Ministership after he claimed he was going to move at unprecedented speeds. Where is the plan to get a pipeline built?" "...So he's done absolutely nothing at home except for make announcements and allusions." Pierre Poilievre
2:08

Poilievre "And I would also point out that he's done nothing here at home." "There's still no pipeline approved, no route, no builder, not a dollar of investment." "We don't know where the pipeline's going to start or end." "Two months ago they were saying it was going to go to Northern BC." "This morning they're telling the media that it might go to Southern BC" "This, this is a year into his prime Ministership after he claimed he was going to move at unprecedented speeds. Where is the plan to get a pipeline built?" "...So he's done absolutely nothing at home except for make announcements and allusions." Pierre Poilievre

cbcwatcher

28,167 просмотров • 4 месяцев назад

Alexandr Wang, head of Meta Superintelligence Labs: "A decade ago, the best AI models could recognize cats in YouTube videos. And now we're talking to a digital god." He said it in passing, as a warm-up to his real point. This is the man Meta paid 14.3 billion dollars to get. He started the company at 19. His real point is the part worth stopping on. He says the whole argument about when superintelligence arrives, two years or five, is close to a waste of time. Not because he thinks it is far off. Because he thinks the answer changes nothing. Then this. For the entire history of humanity, the bottleneck on progress was getting a group of smart people together and pointed at one goal. That is what is about to stop being scarce. "The scarce resource isn't going to be intelligence or agency. I really think it's going to be vision and ambition." Read that as the job description it is. When thinking becomes cheap, the only expensive thing left is knowing what to think about. Most people are bracing for a world where they have to be smarter. He is describing a world where being smarter is free, and having a reason is not.
1:34

Alexandr Wang, head of Meta Superintelligence Labs: "A decade ago, the best AI models could recognize cats in YouTube videos. And now we're talking to a digital god." He said it in passing, as a warm-up to his real point. This is the man Meta paid 14.3 billion dollars to get. He started the company at 19. His real point is the part worth stopping on. He says the whole argument about when superintelligence arrives, two years or five, is close to a waste of time. Not because he thinks it is far off. Because he thinks the answer changes nothing. Then this. For the entire history of humanity, the bottleneck on progress was getting a group of smart people together and pointed at one goal. That is what is about to stop being scarce. "The scarce resource isn't going to be intelligence or agency. I really think it's going to be vision and ambition." Read that as the job description it is. When thinking becomes cheap, the only expensive thing left is knowing what to think about. Most people are bracing for a world where they have to be smarter. He is describing a world where being smarter is free, and having a reason is not.

Casper

51,528 просмотров • 23 дней назад

DESANTIS reacts to Trump's weak attempt to walk back his attacks on Netanyahu: “We have the Donald Trump on the teleprompter, where he's reading what's on there. Then you have to Donald Trump when he gets off that teleprompter, and that's the real Donald Trump. He attacked Netanyahu “because Bibi congratulated Biden in November. That's why he did it. He hates Netanyahu because of that. That's about him. That's not about the greater good of what Israel is trying to do or American security. “And so, I think it's fine to kind of clean up and do all that. I would say, get rid of your teleprompter. Don't use that as a crutch. Go to debates. Show up and debate for two hours, and then we'll be able to see where he's really coming from. So, we've seen over the course every interview, every time he's gotten off the teleprompter for like the last two months, they've had to clean things up. “This is a different Donald Trump. In 2016, he was free-wheeling, he's out there barnstorming the country, doing all this. Now it's just a different guy — and it's sad to see.”
1:39

DESANTIS reacts to Trump's weak attempt to walk back his attacks on Netanyahu: “We have the Donald Trump on the teleprompter, where he's reading what's on there. Then you have to Donald Trump when he gets off that teleprompter, and that's the real Donald Trump. He attacked Netanyahu “because Bibi congratulated Biden in November. That's why he did it. He hates Netanyahu because of that. That's about him. That's not about the greater good of what Israel is trying to do or American security. “And so, I think it's fine to kind of clean up and do all that. I would say, get rid of your teleprompter. Don't use that as a crutch. Go to debates. Show up and debate for two hours, and then we'll be able to see where he's really coming from. So, we've seen over the course every interview, every time he's gotten off the teleprompter for like the last two months, they've had to clean things up. “This is a different Donald Trump. In 2016, he was free-wheeling, he's out there barnstorming the country, doing all this. Now it's just a different guy — and it's sad to see.”

DeSantis War Room 🐊

476,934 просмотров • 2 лет назад

Gutfeld: First of all, he doesn’t own a house. He doesn’t live like a trillionaire, billionaire, or millionaire. He keeps his salary to a minimum. All the money he makes goes back into investing in the company, in wages, you name it. He’s looking for the next frontier for Earthlings. The whole thing about going to Mars is to save Earth. Who else is doing that? Pritzker can’t hold a candle to Elon Musk
2:05

Gutfeld: First of all, he doesn’t own a house. He doesn’t live like a trillionaire, billionaire, or millionaire. He keeps his salary to a minimum. All the money he makes goes back into investing in the company, in wages, you name it. He’s looking for the next frontier for Earthlings. The whole thing about going to Mars is to save Earth. Who else is doing that? Pritzker can’t hold a candle to Elon Musk

Acyn

201,991 просмотров • 1 месяц назад

DAVID SACKS: ELON ISN’T LEAVING DOGE - HE’S SHIFTING TO STRATEGIC MANAGEMENT “I saw this before when I was part of the Twitter transition - for the first 3 months or so, he was basically full-time at Twitter HQ, learning the business down to the database level. Once he felt he had a mental model and he had the people in place that he trusted, he can move to more of a maintenance mode. He has these intense bursts where he focuses on something, gets the right people and structure in place, feels like he understands it, and then he can delegate more. So my sense is that DOGE is going to continue, it's just that Elon is shifting to a mode where he can manage it 1 day a week or 2 days a week, as opposed to being there 5 days a week.” Source: stevenmarkryan, David Sacks
15:46

DAVID SACKS: ELON ISN’T LEAVING DOGE - HE’S SHIFTING TO STRATEGIC MANAGEMENT “I saw this before when I was part of the Twitter transition - for the first 3 months or so, he was basically full-time at Twitter HQ, learning the business down to the database level. Once he felt he had a mental model and he had the people in place that he trusted, he can move to more of a maintenance mode. He has these intense bursts where he focuses on something, gets the right people and structure in place, feels like he understands it, and then he can delegate more. So my sense is that DOGE is going to continue, it's just that Elon is shifting to a mode where he can manage it 1 day a week or 2 days a week, as opposed to being there 5 days a week.” Source: stevenmarkryan, David Sacks

Mario Nawfal

2,390,317 просмотров • 1 год назад

Persi Diaconis, Stanford mathematician and former professional magician: "I spent fifty years proving one thing: almost nothing is as random as it looks. The 50.75% that built Renaissance wasn't luck. It was a tiny crack in the randomness, found and repeated a million times." this free lecture holds the exact idea the thread above is built on. and the man giving it isn't a trader. he's a stanford professor and former professional magician who spent his career on one question: where does real randomness end, and where does a hidden edge begin. here is his life's finding. a coin, a shuffle, a market, all look random, yet each hides a faint, measurable bias. on its own that bias is nothing, indistinguishable from luck. repeat it enough times and it stops being luck and becomes a law. that faint crack, found and repeated, is the whole distance between a 50.75% win rate and a hundred billion dollars. none of this is new or hidden. diaconis has taught it for decades, the math runs back to 1713, and the lecture is free. i mapped the full system in my article, expected value, kelly, and this. same point the thread makes: the edge was sitting in plain sight. here is the part the gurus skip. a faint edge only pays if you survive long enough to reach it, and that takes correct sizing and the patience to trust it through thousands of losing-looking trades. most quit while it still looks like randomness. the math is free. the nerve to hold it is the edge.
48:41

Persi Diaconis, Stanford mathematician and former professional magician: "I spent fifty years proving one thing: almost nothing is as random as it looks. The 50.75% that built Renaissance wasn't luck. It was a tiny crack in the randomness, found and repeated a million times." this free lecture holds the exact idea the thread above is built on. and the man giving it isn't a trader. he's a stanford professor and former professional magician who spent his career on one question: where does real randomness end, and where does a hidden edge begin. here is his life's finding. a coin, a shuffle, a market, all look random, yet each hides a faint, measurable bias. on its own that bias is nothing, indistinguishable from luck. repeat it enough times and it stops being luck and becomes a law. that faint crack, found and repeated, is the whole distance between a 50.75% win rate and a hundred billion dollars. none of this is new or hidden. diaconis has taught it for decades, the math runs back to 1713, and the lecture is free. i mapped the full system in my article, expected value, kelly, and this. same point the thread makes: the edge was sitting in plain sight. here is the part the gurus skip. a faint edge only pays if you survive long enough to reach it, and that takes correct sizing and the patience to trust it through thousands of losing-looking trades. most quit while it still looks like randomness. the math is free. the nerve to hold it is the edge.

Rossst.03

230,658 просмотров • 1 месяц назад

Will Arnett says a guy didn’t want to pay the cover charge, so he put his name on a list to get in free. It changed his whole life “He was going through a divorce and he didn’t want to pay a cover charge at a bar where they were doing an open-mic night so he put his name on the list” “And he ended up going up [doing stand up]. For the first time, he spoke his truth about what he was going through” “What really got me was that he went back the next week. And did it again”
0:23

Will Arnett says a guy didn’t want to pay the cover charge, so he put his name on a list to get in free. It changed his whole life “He was going through a divorce and he didn’t want to pay a cover charge at a bar where they were doing an open-mic night so he put his name on the list” “And he ended up going up [doing stand up]. For the first time, he spoke his truth about what he was going through” “What really got me was that he went back the next week. And did it again”

katsu

1,036,680 просмотров • 1 месяц назад

A fired Jane Street quant walked out with 10 years of private BTC trading data. Turned it into $1.5M. He did not build a bot. He built a simulator that runs every move Bitcoin can make before it makes one. I found his wallet. Been copying him for a week. PnL prints like clockwork. Here is what he actually built. A swarm of agents feeds 10 years of stolen tick data into MiroFish. A god-tier agentic simulator. It does not forecast the next candle. It spins up a virtual market and plays Bitcoin forward through thousands of scenarios at once. Six agents each validate their own call. A trade only fires when they converge. They collect data 24/7, rerun the sim, and remember every pattern, every reaction, every signal they have ever seen. He does not predict the future. The math already knows it. He just reads the numbers and takes the money. Here is the part firms do not want public: MiroFish just broke algo trading. The desks are quietly building their own simulators right now. The window where one solo wallet can run this is still open. Barely. I rebuilt his approach using Claude. One prompt. Fed it the same framework. Let it run. The agent monitors his wallet 24/7. Copies every position in real-time. No delay. No guessing. Just mirror and profit. You only need Claude + device + 1 hour to deploy. Giving this free for 24 hours. To get it: 1. Comment the word "QUANT" 2. Like and retweet this post 3. Follow me Himanshu Kumar so I can DM you Save this post. Build the copytrading system this week. Start with $200. Scale on evidence.
0:43

A fired Jane Street quant walked out with 10 years of private BTC trading data. Turned it into $1.5M. He did not build a bot. He built a simulator that runs every move Bitcoin can make before it makes one. I found his wallet. Been copying him for a week. PnL prints like clockwork. Here is what he actually built. A swarm of agents feeds 10 years of stolen tick data into MiroFish. A god-tier agentic simulator. It does not forecast the next candle. It spins up a virtual market and plays Bitcoin forward through thousands of scenarios at once. Six agents each validate their own call. A trade only fires when they converge. They collect data 24/7, rerun the sim, and remember every pattern, every reaction, every signal they have ever seen. He does not predict the future. The math already knows it. He just reads the numbers and takes the money. Here is the part firms do not want public: MiroFish just broke algo trading. The desks are quietly building their own simulators right now. The window where one solo wallet can run this is still open. Barely. I rebuilt his approach using Claude. One prompt. Fed it the same framework. Let it run. The agent monitors his wallet 24/7. Copies every position in real-time. No delay. No guessing. Just mirror and profit. You only need Claude + device + 1 hour to deploy. Giving this free for 24 hours. To get it: 1. Comment the word "QUANT" 2. Like and retweet this post 3. Follow me Himanshu Kumar so I can DM you Save this post. Build the copytrading system this week. Start with $200. Scale on evidence.

Himanshu Kumar

63,419 просмотров • 2 месяцев назад

Chinese quant built a perfect BTC price simulation engine with MiroFish In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $350k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. He’s using closed order book data + private OTC desks. Already elite alpha. Then the real magic happens: 10,000 simulation cycles of how the market will react. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t “guessing where the chart will go.” This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want to learn how to build something like this? Save the post and read the article. If you don’t want to miss his next 75x trade, starting copy every one of his trades right now using this TG bot:
0:35

Chinese quant built a perfect BTC price simulation engine with MiroFish In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $350k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. He’s using closed order book data + private OTC desks. Already elite alpha. Then the real magic happens: 10,000 simulation cycles of how the market will react. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t “guessing where the chart will go.” This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want to learn how to build something like this? Save the post and read the article. If you don’t want to miss his next 75x trade, starting copy every one of his trades right now using this TG bot:

cvxv666

282,748 просмотров • 3 месяцев назад

Chinese quant built a perfect BTC price simulation engine with MiroFish In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $350k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. He’s using closed order book data + private OTC desks. Already elite alpha. Then the real magic happens: 10,000 simulation cycles of how the market will react. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t "guessing where the chart will go" This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want to learn how to build something like this? Save the post and read the article. If you don’t want to miss his next 75x trade, starting copy every one of his trades right now using this TG bot:
0:36

Chinese quant built a perfect BTC price simulation engine with MiroFish In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $350k all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. He’s using closed order book data + private OTC desks. Already elite alpha. Then the real magic happens: 10,000 simulation cycles of how the market will react. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t "guessing where the chart will go" This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want to learn how to build something like this? Save the post and read the article. If you don’t want to miss his next 75x trade, starting copy every one of his trades right now using this TG bot:

cvxv666

202,968 просмотров • 3 месяцев назад