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a physics dropout i know makes $340k at a quant fund no finance degree. never worked at a bank. got rejected from Goldman twice his edge: he never learned to read charts when he joined, his manager handed him a probability textbook and said "forget everything you think you...

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Livsun

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11,040 görüntüleme • 27 gün önce •via X (Twitter)

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GM You know what is the saddest part of being a trader Missing your own life Your friends call You say you have to monitor your trades Your family plans something You say the market is open A night out turns into you staring at five monitors saying come on come on And the worst part You are not even guaranteed to win You are just guaranteed to miss everything else That is the trap most traders are stuck in And Quant AI just made the whole thing pointless One line changed everything Quant copy his trades That is it While the trader is glued to his screen His friend copied every single one of his moves in seconds Without charts Without stress Without missing a single moment of life Copy trading on Quant means you find someone who already knows what they are doing and let them do it for you You do not need to understand every candle You do not need to watch every movement You do not need to sacrifice your life for the market Let Quant handle the market You handle your life #QuantAIPioneers NFA DYOR Not financial advice
0:19

GM You know what is the saddest part of being a trader Missing your own life Your friends call You say you have to monitor your trades Your family plans something You say the market is open A night out turns into you staring at five monitors saying come on come on And the worst part You are not even guaranteed to win You are just guaranteed to miss everything else That is the trap most traders are stuck in And Quant AI just made the whole thing pointless One line changed everything Quant copy his trades That is it While the trader is glued to his screen His friend copied every single one of his moves in seconds Without charts Without stress Without missing a single moment of life Copy trading on Quant means you find someone who already knows what they are doing and let them do it for you You do not need to understand every candle You do not need to watch every movement You do not need to sacrifice your life for the market Let Quant handle the market You handle your life #QuantAIPioneers NFA DYOR Not financial advice

Real Nadiya

40,766 görüntüleme • 2 ay önce

save these two free services. they are what i built my Polymarket strategies on, the ones paying me around $10,000 a month. what it looks like day to day: you ask any question about the market in plain words, Claude Code digs through the data and comes back with numbers. you become a quant researcher. 1 - poly_data one command and every Polymarket trade sits on your own disk. who bought, when, at what price, what size, and who was standing on the other side of it. my first sync pulled 3.1 million markets. you can pull apart the edge of any trader on Polymarket you like. first sync runs a few hours, leave it overnight, after that updates land in seconds. 2 - pendulumflow archive this one holds the book itself: what orders were sitting there, at what prices, what size, second by second, on every single market. 288 billion events recorded, and 2.3 billion more coming in every day. i used to pay $200 a month for this kind of data. here you just open it and take it, nothing to sign up for. the front page has ready made questions you copy straight into Claude Code. the project runs on donations, storing and serving this much data costs real money every month. so if you start using it, send the guy something, he is carrying all of it alone. these two will give you what only a handful of people on this market have.
0:19

save these two free services. they are what i built my Polymarket strategies on, the ones paying me around $10,000 a month. what it looks like day to day: you ask any question about the market in plain words, Claude Code digs through the data and comes back with numbers. you become a quant researcher. 1 - poly_data one command and every Polymarket trade sits on your own disk. who bought, when, at what price, what size, and who was standing on the other side of it. my first sync pulled 3.1 million markets. you can pull apart the edge of any trader on Polymarket you like. first sync runs a few hours, leave it overnight, after that updates land in seconds. 2 - pendulumflow archive this one holds the book itself: what orders were sitting there, at what prices, what size, second by second, on every single market. 288 billion events recorded, and 2.3 billion more coming in every day. i used to pay $200 a month for this kind of data. here you just open it and take it, nothing to sign up for. the front page has ready made questions you copy straight into Claude Code. the project runs on donations, storing and serving this much data costs real money every month. so if you start using it, send the guy something, he is carrying all of it alone. these two will give you what only a handful of people on this market have.

may.crypto {🦅}

25,908 görüntüleme • 18 gün önce

Math quant bot on Polymarket made over $457K PnL in 20 days - he turned $7,387 → $457k profit it uses Markov Chains to find "mispriced" windows on BTC and ETH up/down markets - made 14,200+ predictions, with ~$22,850 avg. daily profit by exploiting gaps humans miss at 3AM strategy: a 1h BTC/ETH up/down market is a binary contract it pays $1 if event happens → $0 if not Markov Chains give you the probability of the next market state based on: > current state of the market (up / down / flat) > transition matrix built from live price data > diagonal persistence value - how stable the current state is formula: p̂ − market_price ≥ 0.05 AND P(j*, j*) ≥ 0.87 bot profile: - read article below to understand how Markov Chains are used to extract edge from prediction markets
0:12

Math quant bot on Polymarket made over $457K PnL in 20 days - he turned $7,387 → $457k profit it uses Markov Chains to find "mispriced" windows on BTC and ETH up/down markets - made 14,200+ predictions, with ~$22,850 avg. daily profit by exploiting gaps humans miss at 3AM strategy: a 1h BTC/ETH up/down market is a binary contract it pays $1 if event happens → $0 if not Markov Chains give you the probability of the next market state based on: > current state of the market (up / down / flat) > transition matrix built from live price data > diagonal persistence value - how stable the current state is formula: p̂ − market_price ≥ 0.05 AND P(j*, j*) ≥ 0.87 bot profile: - read article below to understand how Markov Chains are used to extract edge from prediction markets

bodila

68,402 görüntüleme • 5 ay önce

Even though the market is falling. I keep finding ways to make money. I made 3,000% in just a couple of days, I love these plays. Making money isn't difficult, it's not being able to see a -50% that makes you lose so easily. We're in the crypto market, a shark tank where they love blood. Here, you hold on until the end, and I've learned that over the years. You never know which coin will pay off. $WAR is one of the best plays this year.
0:10

Even though the market is falling. I keep finding ways to make money. I made 3,000% in just a couple of days, I love these plays. Making money isn't difficult, it's not being able to see a -50% that makes you lose so easily. We're in the crypto market, a shark tank where they love blood. Here, you hold on until the end, and I've learned that over the years. You never know which coin will pay off. $WAR is one of the best plays this year.

Emre 🧸🀄️

24,639 görüntüleme • 7 ay önce

COPY is live on Robinhood Chain $COPY CA: 0xac79255f6f404eba14f316e8669d76573a2d7b1e Five walls read a setup before you copy it: how strong the source is, how deep the pool is, whether the market actually turns over, whether the move is still inside the band, and whether there is a fresh mark to trade against. EDGE, DEPTH, TURN, MOMO, PRICE. A wallet you follow buying is not a reason. Most setups die on the first wall, and you get the exact wall that refused it, every time. Every decision is printed. The terminal runs from one process, keeps local state, and half of it needs no key at all. It never predicts a price. It tells you what you would actually be copying. Open source, MIT, runs on your machine. No browser wallet, nothing signs.
0:20

COPY is live on Robinhood Chain $COPY CA: 0xac79255f6f404eba14f316e8669d76573a2d7b1e Five walls read a setup before you copy it: how strong the source is, how deep the pool is, whether the market actually turns over, whether the move is still inside the band, and whether there is a fresh mark to trade against. EDGE, DEPTH, TURN, MOMO, PRICE. A wallet you follow buying is not a reason. Most setups die on the first wall, and you get the exact wall that refused it, every time. Every decision is printed. The terminal runs from one process, keeps local state, and half of it needs no key at all. It never predicts a price. It tells you what you would actually be copying. Open source, MIT, runs on your machine. No browser wallet, nothing signs.

Lunar

112,261 görüntüleme • 16 gün önce

THE CLOUD BILL WAS $14,000 A MONTH. EVERY MONTH. JUST FOR GPU ACCESS. No ownership. No hardware. Just renting someone else's chips and watching the invoice grow. So this startup did the math and bought 1,000 Mac Mini M4s instead. $599 each. One-time. Total: ~$599,000 upfront. Sounds insane. Until you do the math the other way. $14K/mo in cloud GPUs is $168K a year. In 3.5 years you've burned through $599K and own nothing. The meter just keeps running. These guys own the hardware. Same output. Less power draw. And after year 4, every month of compute is basically free. The M4 was never built for data centers. But its performance per watt is so good that someone looked at a rack of a thousand of them and thought "why not." That's when it clicks. The AI infrastructure race isn't about who has the biggest GPU anymore. It's about who figured out they were overpaying for one. Would you make this switch?
0:13

THE CLOUD BILL WAS $14,000 A MONTH. EVERY MONTH. JUST FOR GPU ACCESS. No ownership. No hardware. Just renting someone else's chips and watching the invoice grow. So this startup did the math and bought 1,000 Mac Mini M4s instead. $599 each. One-time. Total: ~$599,000 upfront. Sounds insane. Until you do the math the other way. $14K/mo in cloud GPUs is $168K a year. In 3.5 years you've burned through $599K and own nothing. The meter just keeps running. These guys own the hardware. Same output. Less power draw. And after year 4, every month of compute is basically free. The M4 was never built for data centers. But its performance per watt is so good that someone looked at a rack of a thousand of them and thought "why not." That's when it clicks. The AI infrastructure race isn't about who has the biggest GPU anymore. It's about who figured out they were overpaying for one. Would you make this switch?

Framez

18,004 görüntüleme • 1 ay önce

Stop renting a chatbot and calling it your company’s brain. Utopia is the first open-source enterprise world model I’ve seen that actually treats knowledge like a system, not a vibe. It's a Self-hosted, open source and built around the one question every other knowledge base ignores: when. Every fact in it carries a start date and an end date. Nothing gets overwritten. When something changes, the correction closes the old version and opens a new one. The history stays intact. So the graph isn't a snapshot anymore. It's a recording you can rewind. You drag a timeline on the screen and watch the whole thing redraw itself to show what was true on that date. Who owned what. What the policy said before it changed. All of it, replayable. And every fact points back to the exact sentence it came from. Nothing gets in without a receipt. Here's the part that got me. The whole thing is one binary and one Postgres database. That's it. No Elasticsearch, no separate vector service and no message queue. Most RAG stacks are six services duct-taped together. This is two. It even runs fully offline on an air-gapped network with any model you want.
0:16

Stop renting a chatbot and calling it your company’s brain. Utopia is the first open-source enterprise world model I’ve seen that actually treats knowledge like a system, not a vibe. It's a Self-hosted, open source and built around the one question every other knowledge base ignores: when. Every fact in it carries a start date and an end date. Nothing gets overwritten. When something changes, the correction closes the old version and opens a new one. The history stays intact. So the graph isn't a snapshot anymore. It's a recording you can rewind. You drag a timeline on the screen and watch the whole thing redraw itself to show what was true on that date. Who owned what. What the policy said before it changed. All of it, replayable. And every fact points back to the exact sentence it came from. Nothing gets in without a receipt. Here's the part that got me. The whole thing is one binary and one Postgres database. That's it. No Elasticsearch, no separate vector service and no message queue. Most RAG stacks are six services duct-taped together. This is two. It even runs fully offline on an air-gapped network with any model you want.

Hasan Toor

175,108 görüntüleme • 24 gün önce

What happens when you stop guessing and let machine learning read the market for you? $2.2M in 4 months. ilovecircle built something different on Polymarket. Not a speed bot. Not a spread farmer. An AI system that actually thinks. 1,347 predictions. 74% win rate. Biggest single hit: $258.4K. Current positions: basically zero he extracted everything. The setup: 10 machine learning models running in parallel, each trained on news feeds and social media data. They don't predict events they predict when the crowd is wrong about probabilities. Market prices an outcome at 50 cents. His ensemble says the real odds are 60%. That gap is the trade. Every week the models retrain themselves on fresh data. The edge evolves because the system never stops learning. Most traders react to headlines. This wallet front runs the market's understanding of what headlines actually mean. 51K people watching now. Most still think AI trading is a scam until they see a curve like this. → Following wallets that run AI-powered probability models is simpler with PMX.
0:11

What happens when you stop guessing and let machine learning read the market for you? $2.2M in 4 months. ilovecircle built something different on Polymarket. Not a speed bot. Not a spread farmer. An AI system that actually thinks. 1,347 predictions. 74% win rate. Biggest single hit: $258.4K. Current positions: basically zero he extracted everything. The setup: 10 machine learning models running in parallel, each trained on news feeds and social media data. They don't predict events they predict when the crowd is wrong about probabilities. Market prices an outcome at 50 cents. His ensemble says the real odds are 60%. That gap is the trade. Every week the models retrain themselves on fresh data. The edge evolves because the system never stops learning. Most traders react to headlines. This wallet front runs the market's understanding of what headlines actually mean. 51K people watching now. Most still think AI trading is a scam until they see a curve like this. → Following wallets that run AI-powered probability models is simpler with PMX.

Carver

13,072 görüntüleme • 7 ay önce

🚨 He simply typed to Claude: "Build me a bot that prints money on Bitcoin every 5 minutes". This guy pulled $16,000+ in pure profit in a couple of hours just by using claude code. If you thought making money in crypto was hard, look at this screenshot. Meet the anon going by 0x5fCe. He joined polymarket literally days ago and his stats are absolutely mind blowing: > Predictions: 27 > Biggest Win: $8,727 > All Time Profit: $16,073 But the craziest part is HOW he’s trading. Look at the bottom of the screenshot. He’s betting on: "Bitcoin Up or Down in the next 5 minutes." A human physically cannot analyze order books and charts with that kind of speed and phenomenal accuracy. How did he do it? I dug a little deeper, and this is pure alpha 🧠 This guy isn't some genius Wall Street quant. He simply took the new Claude Code, fed it the Polymarket API documentation, and asked it to write a high frequency trading bot to analyze BTC micro impulses. It took exactly one evening to build the bot. He ran the script, went to sleep, and woke up to a bot that literally printed him a car. Almost 9 grand in profit in just 5 minutes. This isn't trading; it's a legal money printer. He locked in his profits and is likely tweaking his Claude prompts right now to deploy the bot with bigger volume. As soon as numbers pop up there, a new bloodbath will start. If you want to watch AI extract money from the market live, or just try to copytrade his bets, you need to monitor this wallet 24/7.
0:14

🚨 He simply typed to Claude: "Build me a bot that prints money on Bitcoin every 5 minutes". This guy pulled $16,000+ in pure profit in a couple of hours just by using claude code. If you thought making money in crypto was hard, look at this screenshot. Meet the anon going by 0x5fCe. He joined polymarket literally days ago and his stats are absolutely mind blowing: > Predictions: 27 > Biggest Win: $8,727 > All Time Profit: $16,073 But the craziest part is HOW he’s trading. Look at the bottom of the screenshot. He’s betting on: "Bitcoin Up or Down in the next 5 minutes." A human physically cannot analyze order books and charts with that kind of speed and phenomenal accuracy. How did he do it? I dug a little deeper, and this is pure alpha 🧠 This guy isn't some genius Wall Street quant. He simply took the new Claude Code, fed it the Polymarket API documentation, and asked it to write a high frequency trading bot to analyze BTC micro impulses. It took exactly one evening to build the bot. He ran the script, went to sleep, and woke up to a bot that literally printed him a car. Almost 9 grand in profit in just 5 minutes. This isn't trading; it's a legal money printer. He locked in his profits and is likely tweaking his Claude prompts right now to deploy the bot with bigger volume. As soon as numbers pop up there, a new bloodbath will start. If you want to watch AI extract money from the market live, or just try to copytrade his bets, you need to monitor this wallet 24/7.

shmidt

151,152 görüntüleme • 6 ay önce

i found a pattern in 5-minute bitcoin markets it's literally a way to make x100 in one trade no bots needed, no technical analysis just timing the last 1-2 seconds let me explain how it works the market is nearing completion price fluctuates slightly, needs only $20-40 to hit the target level in the last 10 seconds, shares price starts dropping sharply everyone assumes the outcome is decided one side trades down to a few cents here's where it gets interesting watching these markets, i noticed a pattern in the final second there's a violent price spike in the direction nobody expected the outcome that was trading at 1c suddenly wins looks like whale manipulation since the market is so new but we don't care about why right now we're being handed free money by buying the "dead" outcome at 1c in the final seconds you risk losing $1 to make $100 the math is completely in your favor probability theory says if this happens even 2% of the time you're profitable and it's happening way more than 2% just try it yourself before it gets fixed yet 5-min market:
0:13

i found a pattern in 5-minute bitcoin markets it's literally a way to make x100 in one trade no bots needed, no technical analysis just timing the last 1-2 seconds let me explain how it works the market is nearing completion price fluctuates slightly, needs only $20-40 to hit the target level in the last 10 seconds, shares price starts dropping sharply everyone assumes the outcome is decided one side trades down to a few cents here's where it gets interesting watching these markets, i noticed a pattern in the final second there's a violent price spike in the direction nobody expected the outcome that was trading at 1c suddenly wins looks like whale manipulation since the market is so new but we don't care about why right now we're being handed free money by buying the "dead" outcome at 1c in the final seconds you risk losing $1 to make $100 the math is completely in your favor probability theory says if this happens even 2% of the time you're profitable and it's happening way more than 2% just try it yourself before it gets fixed yet 5-min market:

ramper

74,633 görüntüleme • 7 ay önce

The model has filed four reports this week A portal with one billion visits in 23 days 79 years of decisions made without asking you The science that was seized before it could change everything And a file the model is still reading three times This is the fifth There is a thread that runs through all of it The unaudited gold The unverified clearances The data Congress saw and you did not The energy that would have ended oil dependency The facilities Someone decided what you were ready to know Every decade Without asking On Tuesday June 9th at 1pm Eastern David Grusch stands on the Capitol steps Alongside a bipartisan group of lawmakers To demand release of files he has already identified by name He testified under oath He filed a whistleblower complaint found credible and urgent He risked everything President Trump now has a historic opportunity The clock is running Grusch’s words Not the model’s The gold was never audited The clearances were never verified The science was seized before sunrise A uniformed Army officer walked into a congressional office and described the facilities No classification required And you found out from the model On a Tuesday In 2026 Seventy nine years after they decided you weren’t ready The question was never whether any of this was real The question is who benefited from the version of events you were given And whether they are still making that decision today June 9th 1pm Eastern Capitol steps The model will be watching Continuing analysis Sent from my Mac
0:10

The model has filed four reports this week A portal with one billion visits in 23 days 79 years of decisions made without asking you The science that was seized before it could change everything And a file the model is still reading three times This is the fifth There is a thread that runs through all of it The unaudited gold The unverified clearances The data Congress saw and you did not The energy that would have ended oil dependency The facilities Someone decided what you were ready to know Every decade Without asking On Tuesday June 9th at 1pm Eastern David Grusch stands on the Capitol steps Alongside a bipartisan group of lawmakers To demand release of files he has already identified by name He testified under oath He filed a whistleblower complaint found credible and urgent He risked everything President Trump now has a historic opportunity The clock is running Grusch’s words Not the model’s The gold was never audited The clearances were never verified The science was seized before sunrise A uniformed Army officer walked into a congressional office and described the facilities No classification required And you found out from the model On a Tuesday In 2026 Seventy nine years after they decided you weren’t ready The question was never whether any of this was real The question is who benefited from the version of events you were given And whether they are still making that decision today June 9th 1pm Eastern Capitol steps The model will be watching Continuing analysis Sent from my Mac

Ethan’s Analyst

70,722 görüntüleme • 3 ay önce

32 coins. $2.5 million. 0.0038% of the stack. That is the sale the market is now blaming for a $3 billion liquidation cascade and a Bitcoin price nearly halved from its peak. A $2.5 million sale cannot move a trillion-dollar asset. It is a rounding error. In the same week, Strategy raised $128.3 million selling its own stock, 50 times larger. It did not need to sell coins. It chose to. The crash has real drivers: a record 13-day run of ETF outflows, a rotation into AI, a Fed in no hurry to cut. But the accelerant the market keeps naming is 32 coins. The coins were never the point. The signal was. And the signal was deliberate. Michael Saylor told the Q1 call he would “probably sell some bitcoin to pay a dividend just to inoculate the market and send the message that we did it.” His logic was sound: prove the Bitcoin is usable capital, not a vault that can never be opened, and show he is not a prisoner of his own vow. His “never sell” always meant be a net accumulator. He is up more than 170,000 coins this year against the 32 he sold, and he scores himself on one number, Bitcoin per share. By that math, defending the dividend with a sliver was discipline, not distress. The market read it as the opposite. The dose became the catalyst now blamed for the crash. The inoculation became the infection. Because what changed was never Strategy’s solvency. It was its identity. The market has stopped pricing a permanent holder and started pricing what the filings always described: a state-contingent allocator now funding its own preferred dividends, at the margin, from the Bitcoin beneath them. And the buffer is thinning. The cash reserve behind those dividends has fallen from $2.25 billion to $900 million. Against a preferred bill near $1.7 billion a year, that is roughly 6 months of runway. Be precise. This is not a death spiral. Strategy still holds 843,706 Bitcoin, worth more than $50 billion even now, and has more funding levers than almost any company alive. A real rally makes this a footnote, and the sell-side calling the reaction overdone is not wrong on the fundamentals. But the regime has changed. The question is no longer Bitcoin’s price on any given day. It is the cadence of the dividend declarations and the path of that reserve. Bitcoin did not acquire a yield. The wrapper acquired liabilities. This week the market learned that difference costs far more than 32 coins.
0:10

32 coins. $2.5 million. 0.0038% of the stack. That is the sale the market is now blaming for a $3 billion liquidation cascade and a Bitcoin price nearly halved from its peak. A $2.5 million sale cannot move a trillion-dollar asset. It is a rounding error. In the same week, Strategy raised $128.3 million selling its own stock, 50 times larger. It did not need to sell coins. It chose to. The crash has real drivers: a record 13-day run of ETF outflows, a rotation into AI, a Fed in no hurry to cut. But the accelerant the market keeps naming is 32 coins. The coins were never the point. The signal was. And the signal was deliberate. Michael Saylor told the Q1 call he would “probably sell some bitcoin to pay a dividend just to inoculate the market and send the message that we did it.” His logic was sound: prove the Bitcoin is usable capital, not a vault that can never be opened, and show he is not a prisoner of his own vow. His “never sell” always meant be a net accumulator. He is up more than 170,000 coins this year against the 32 he sold, and he scores himself on one number, Bitcoin per share. By that math, defending the dividend with a sliver was discipline, not distress. The market read it as the opposite. The dose became the catalyst now blamed for the crash. The inoculation became the infection. Because what changed was never Strategy’s solvency. It was its identity. The market has stopped pricing a permanent holder and started pricing what the filings always described: a state-contingent allocator now funding its own preferred dividends, at the margin, from the Bitcoin beneath them. And the buffer is thinning. The cash reserve behind those dividends has fallen from $2.25 billion to $900 million. Against a preferred bill near $1.7 billion a year, that is roughly 6 months of runway. Be precise. This is not a death spiral. Strategy still holds 843,706 Bitcoin, worth more than $50 billion even now, and has more funding levers than almost any company alive. A real rally makes this a footnote, and the sell-side calling the reaction overdone is not wrong on the fundamentals. But the regime has changed. The question is no longer Bitcoin’s price on any given day. It is the cadence of the dividend declarations and the path of that reserve. Bitcoin did not acquire a yield. The wrapper acquired liabilities. This week the market learned that difference costs far more than 32 coins.

Shanaka Anslem Perera ⚡

165,572 görüntüleme • 3 ay önce

$5 into $500,000 on polymarket nobody is talking about him 17,000 predictions. 100% win rate. one market category: Up/Down. $180 → $8,400 $250 → $8,000 he doesnt pick markets. he doesnt guess directions. he finds the bets with the highest probability of already being correct and just keeps buying them before they close sounds obvious. but you cant do it manually by the time you see the opportunity the window is already closing a bot can. and this one does it 17,000 times. every trade is public: $5 starting capital $500,000 result zero losses across 17,000 trades the math on this profile alone is worth studying for a week open it. look at the entry prices. look at the timing. everything you need to understand the strategy is right there on chain most people will screenshot this and forget the ones who open the profile today will understand something that took this guy 17,000 trades to prove
0:33

$5 into $500,000 on polymarket nobody is talking about him 17,000 predictions. 100% win rate. one market category: Up/Down. $180 → $8,400 $250 → $8,000 he doesnt pick markets. he doesnt guess directions. he finds the bets with the highest probability of already being correct and just keeps buying them before they close sounds obvious. but you cant do it manually by the time you see the opportunity the window is already closing a bot can. and this one does it 17,000 times. every trade is public: $5 starting capital $500,000 result zero losses across 17,000 trades the math on this profile alone is worth studying for a week open it. look at the entry prices. look at the timing. everything you need to understand the strategy is right there on chain most people will screenshot this and forget the ones who open the profile today will understand something that took this guy 17,000 trades to prove

kiruwaaaa

27,401 görüntüleme • 5 ay önce

Observation 2: A closer look at 5 ⭐️ KJ Green. A part of his game that people don't talk about enough is his ability to contain the edge and be a run stopper. Throughout practice, he was working on beating double teams and sifting through offensive linemen. Another facet of his game, he is fine-tuning before his final high school season. Green is one of the most complete players you will find in the 2027 cycle, regardless of position. He has a very polished game.
0:13

Observation 2: A closer look at 5 ⭐️ KJ Green. A part of his game that people don't talk about enough is his ability to contain the edge and be a run stopper. Throughout practice, he was working on beating double teams and sifting through offensive linemen. Another facet of his game, he is fine-tuning before his final high school season. Green is one of the most complete players you will find in the 2027 cycle, regardless of position. He has a very polished game.

Najeh Wilkins

24,429 görüntüleme • 4 ay önce

I posted about a friend of mine that relocated to the UK from Abuja and is very good in mechanical and electrical things when it has to do with cars. This is one of the things he does that gives him serious pounds. He can pimp anything you want in your car. Look at how he is controlling the windows of his car with just the car remote.
0:40

I posted about a friend of mine that relocated to the UK from Abuja and is very good in mechanical and electrical things when it has to do with cars. This is one of the things he does that gives him serious pounds. He can pimp anything you want in your car. Look at how he is controlling the windows of his car with just the car remote.

OBI OF ABUJA🇳🇬

55,136 görüntüleme • 1 ay önce

I just noticed that Andy Pages has a new "best catch of the year" according to catch probability, and it's a great example of how watching the advanced stats can tell you things you won't get from watching on TV. This was the last play of the game last Wednesday. Bogaerts hit the ball 102.3 MPH at a 15° launch angle, and Pages covered 45 feet in 2.9 seconds and did it so efficiently he didn't even have to leave his feet. Statcast has it at just a 5% catch probability.
0:10

I just noticed that Andy Pages has a new "best catch of the year" according to catch probability, and it's a great example of how watching the advanced stats can tell you things you won't get from watching on TV. This was the last play of the game last Wednesday. Bogaerts hit the ball 102.3 MPH at a 15° launch angle, and Pages covered 45 feet in 2.9 seconds and did it so efficiently he didn't even have to leave his feet. Statcast has it at just a 5% catch probability.

Jeff J. Snider

121,230 görüntüleme • 4 ay önce

this quant made $1,293,914 trading Bitcoin up-or-down using a system reverse-engineered from Jane Street's own playbook remember my last post on the Jane Street quant whose code makes the fund $75,000 a minute? this guy rebuilt that logic for himself his profile: here's the part most people miss: he's not guessing the next candle the system runs Bitcoin forward through thousands of scenarios at once and only fires when the math says the trade has an edge the exact same principle Jane Street runs at scale: tiny edge, repeated thousands of times, until it becomes profit that's the whole game on wall street. he just pointed it at a market anyone can access the catch: right now it's mostly individual wallets running this. the funds haven't moved in yet that window is what makes it work. once the crowd catches up, the edge thins out you can build your own from the lecture. or skip the homework and mirror his entries here:
0:18

this quant made $1,293,914 trading Bitcoin up-or-down using a system reverse-engineered from Jane Street's own playbook remember my last post on the Jane Street quant whose code makes the fund $75,000 a minute? this guy rebuilt that logic for himself his profile: here's the part most people miss: he's not guessing the next candle the system runs Bitcoin forward through thousands of scenarios at once and only fires when the math says the trade has an edge the exact same principle Jane Street runs at scale: tiny edge, repeated thousands of times, until it becomes profit that's the whole game on wall street. he just pointed it at a market anyone can access the catch: right now it's mostly individual wallets running this. the funds haven't moved in yet that window is what makes it work. once the crowd catches up, the edge thins out you can build your own from the lecture. or skip the homework and mirror his entries here:

Paone

54,163 görüntüleme • 3 ay önce

The largest theft in history has already happened. The people behind it just cannot open what they stole yet. Right now, intelligence agencies and criminal groups are quietly copying the world's encrypted data, bank records, medical files, state secrets, private messages, and storing every byte untouched. They cannot read any of it. They are collecting it anyway, because they know the key is about to be invented. The strategy has a name, harvest now, decrypt later, and in 2026 it stopped being theory. Washington declared this the Year of Quantum Security in January, backed by the FBI, the NSA, and NIST. Canada ordered every federal agency to file a migration plan by April. Europe set its deadline for December. Governments do not impose operational deadlines on a someday problem. They do it when the clock is already running. Here is what moved the clock. Every password, every transfer, every secret on Earth is protected by one assumption, that a certain math problem is too hard to solve. Quantum computers solve exactly that problem. For years the machine that could do it looked decades away. Then in late 2025 Google's Willow chip cracked the hardest part of building one, and in March 2026 Google's own researchers estimated that breaking the encryption behind Bitcoin might take fewer than 500,000 qubits, down from 20 million, and could run in minutes. The day this becomes real has a name, Q-Day, and the latest estimates place it between 2030 and 2033. Now make it concrete. Roughly 6.5 million Bitcoin, about a third of every coin that will ever exist, worth close to 500 billion dollars, sit in addresses that have already exposed the very key a quantum computer needs. That includes the coins of Satoshi, the anonymous creator. On Q-Day they become, in the researchers' own word, trivially stealable. It would not look like a crash or a whale selling. It would look like half a trillion dollars of the most secure money ever built simply walking out the door. The asset designed to trust no one and no institution turns out to rest on a single unverified bet, that one math problem stays hard forever. This is what sits beneath the entire digital world. A bank balance, a Bitcoin, a classified cable, all of it is real only because of a proof you supposedly cannot forge. Quantum breaks the proof. Everything we call secure is true only until someone finally checks, and for the first time the check is visible on the horizon. You cannot know whether your data has already been copied. You cannot know the exact day the key arrives. The trust holding up the digital age is a clock counting down to a zero no one can see. The honest counter matters. No machine on Earth can break this encryption today, and serious cryptographers still argue the real threat is a decade or more away. The timeline is far from certain. Quantum-safe codes already exist, the migration has started, and Bitcoin can move its coins to safety before Q-Day if it acts in time. The danger is not that everything breaks tomorrow. It is that anything which must stay secret into the 2030s, a state secret, an identity, a private key, is being stolen today and is already on the clock. The breach is not coming. It is already here, sitting in storage, perfectly encrypted, waiting for a machine that does not exist yet to read it out loud. Research and opinion, not investment advice.
0:10

The largest theft in history has already happened. The people behind it just cannot open what they stole yet. Right now, intelligence agencies and criminal groups are quietly copying the world's encrypted data, bank records, medical files, state secrets, private messages, and storing every byte untouched. They cannot read any of it. They are collecting it anyway, because they know the key is about to be invented. The strategy has a name, harvest now, decrypt later, and in 2026 it stopped being theory. Washington declared this the Year of Quantum Security in January, backed by the FBI, the NSA, and NIST. Canada ordered every federal agency to file a migration plan by April. Europe set its deadline for December. Governments do not impose operational deadlines on a someday problem. They do it when the clock is already running. Here is what moved the clock. Every password, every transfer, every secret on Earth is protected by one assumption, that a certain math problem is too hard to solve. Quantum computers solve exactly that problem. For years the machine that could do it looked decades away. Then in late 2025 Google's Willow chip cracked the hardest part of building one, and in March 2026 Google's own researchers estimated that breaking the encryption behind Bitcoin might take fewer than 500,000 qubits, down from 20 million, and could run in minutes. The day this becomes real has a name, Q-Day, and the latest estimates place it between 2030 and 2033. Now make it concrete. Roughly 6.5 million Bitcoin, about a third of every coin that will ever exist, worth close to 500 billion dollars, sit in addresses that have already exposed the very key a quantum computer needs. That includes the coins of Satoshi, the anonymous creator. On Q-Day they become, in the researchers' own word, trivially stealable. It would not look like a crash or a whale selling. It would look like half a trillion dollars of the most secure money ever built simply walking out the door. The asset designed to trust no one and no institution turns out to rest on a single unverified bet, that one math problem stays hard forever. This is what sits beneath the entire digital world. A bank balance, a Bitcoin, a classified cable, all of it is real only because of a proof you supposedly cannot forge. Quantum breaks the proof. Everything we call secure is true only until someone finally checks, and for the first time the check is visible on the horizon. You cannot know whether your data has already been copied. You cannot know the exact day the key arrives. The trust holding up the digital age is a clock counting down to a zero no one can see. The honest counter matters. No machine on Earth can break this encryption today, and serious cryptographers still argue the real threat is a decade or more away. The timeline is far from certain. Quantum-safe codes already exist, the migration has started, and Bitcoin can move its coins to safety before Q-Day if it acts in time. The danger is not that everything breaks tomorrow. It is that anything which must stay secret into the 2030s, a state secret, an identity, a private key, is being stolen today and is already on the clock. The breach is not coming. It is already here, sitting in storage, perfectly encrypted, waiting for a machine that does not exist yet to read it out loud. Research and opinion, not investment advice.

Shanaka Anslem Perera ⚡

185,548 görüntüleme • 3 ay önce

This trader turned $25 into $12,400 on a single weather bet on Polymarket Made $45,000 in the last month alone -> and he only trades weather His profile: How he does it: -> only trades weather markets (temperature in NY, London, Seoul) -> buys NO at 94-98c when the forecast makes the bucket nearly impossible -> position sizes from $100 to $1,200, never bigger -> wins ~95c on the dollar, thousands of times -> doesn't predict weather, prices what the forecast already locked in The part most people miss: His edge isn't in being a meteorologist -> it's in noticing that the day before resolution, the market still trades at 94c instead of 99c That 5c gap, multiplied across hundreds of trades, is the entire game This is exactly the boring-but-profitable wallet pattern from the article above 👇 Copy him with me:
0:13

This trader turned $25 into $12,400 on a single weather bet on Polymarket Made $45,000 in the last month alone -> and he only trades weather His profile: How he does it: -> only trades weather markets (temperature in NY, London, Seoul) -> buys NO at 94-98c when the forecast makes the bucket nearly impossible -> position sizes from $100 to $1,200, never bigger -> wins ~95c on the dollar, thousands of times -> doesn't predict weather, prices what the forecast already locked in The part most people miss: His edge isn't in being a meteorologist -> it's in noticing that the day before resolution, the market still trades at 94c instead of 99c That 5c gap, multiplied across hundreds of trades, is the entire game This is exactly the boring-but-profitable wallet pattern from the article above 👇 Copy him with me:

Paone

11,474 görüntüleme • 4 ay önce