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CHINESE CRYPTO TRADER POSTED A NEURAL NETWORK VISUALIZATION ON TIKTOK AND ACCIDENTALLY SHOWED THE SYSTEM MAKING HIS POLYMARKET TRADES FOR HIM IN REAL TIME Blue connection lines everywhere, hidden layers stacked vertically, neurons firing across the screen and a tiny label in the middle that most people ignored on...

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Sprytix

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2,284,373 views • 2 months ago •via X (Twitter)

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Someone on Reddit asked has anyone actually made real money on Polymarket? and one comment led me to a wallet that turned 8 trades into $900,000 profit. The thread had 200+ replies, mostly people sharing their $50 wins and $200 losses, the usual stories about bad beats and lucky streaks that every prediction market attracts. But buried somewhere in the middle, one user dropped a single link without explanation just the wallet address and three words: this guy did. → Wallet: I clicked expecting another account with thousands of trades and a modest profit curve that took years to build. What I found instead made me close the tab, reopen it and stare at the numbers for a solid five minutes trying to understand what I was looking at. $900,091 in profit. Not from grinding hundreds of positions over months of careful risk management. From exactly 8 predictions total. For anyone new to prediction markets, let me put this in perspective most successful traders on Polymarket consider a 60% win rate exceptional and they achieve it across hundreds or thousands of small bets that slowly compound into meaningful profit over time. Maze8 has a 100% win rate across 8 bets averaging over $100,000 each, with a biggest single win of $325,100 that most professional traders will never see in their entire career on the platform. The account was created in January 2026, which means this person walked onto the platform less than a month ago and immediately started placing bets larger than what most people have in their retirement accounts. There is no learning curve visible here, no progression from small test bets to larger positions as confidence builds the very first trades were already six figure commitments made with the certainty of someone who already knew the outcomes. Right now the wallet holds $785,000 in active positions, meaning whoever controls this account extracted nearly a million dollars in profit and then decided that was not enough, loading up again for whatever comes next. I went back to that Reddit thread to find more discussion about this wallet but the comment had maybe 3 upvotes and zero replies. 2,700 people have viewed this profile according to Polymarket, yet somehow the internet has almost nothing to say about a wallet printing money at this rate. The profile remains public, the positions are visible in real time, and every future bet will appear on the blockchain the moment it happens. Eight predictions placed. Eight predictions won. $900,000 extracted while everyone else argued about $50 bets in Reddit comments. Some people discuss prediction markets. Others quietly empty them.
0:55

Someone on Reddit asked has anyone actually made real money on Polymarket? and one comment led me to a wallet that turned 8 trades into $900,000 profit. The thread had 200+ replies, mostly people sharing their $50 wins and $200 losses, the usual stories about bad beats and lucky streaks that every prediction market attracts. But buried somewhere in the middle, one user dropped a single link without explanation just the wallet address and three words: this guy did. → Wallet: I clicked expecting another account with thousands of trades and a modest profit curve that took years to build. What I found instead made me close the tab, reopen it and stare at the numbers for a solid five minutes trying to understand what I was looking at. $900,091 in profit. Not from grinding hundreds of positions over months of careful risk management. From exactly 8 predictions total. For anyone new to prediction markets, let me put this in perspective most successful traders on Polymarket consider a 60% win rate exceptional and they achieve it across hundreds or thousands of small bets that slowly compound into meaningful profit over time. Maze8 has a 100% win rate across 8 bets averaging over $100,000 each, with a biggest single win of $325,100 that most professional traders will never see in their entire career on the platform. The account was created in January 2026, which means this person walked onto the platform less than a month ago and immediately started placing bets larger than what most people have in their retirement accounts. There is no learning curve visible here, no progression from small test bets to larger positions as confidence builds the very first trades were already six figure commitments made with the certainty of someone who already knew the outcomes. Right now the wallet holds $785,000 in active positions, meaning whoever controls this account extracted nearly a million dollars in profit and then decided that was not enough, loading up again for whatever comes next. I went back to that Reddit thread to find more discussion about this wallet but the comment had maybe 3 upvotes and zero replies. 2,700 people have viewed this profile according to Polymarket, yet somehow the internet has almost nothing to say about a wallet printing money at this rate. The profile remains public, the positions are visible in real time, and every future bet will appear on the blockchain the moment it happens. Eight predictions placed. Eight predictions won. $900,000 extracted while everyone else argued about $50 bets in Reddit comments. Some people discuss prediction markets. Others quietly empty them.

Marlow

10,111 views • 6 months ago

Two Chinese developers recorded a 4 minute video showing how to build a team of 7 AI agents that replaces an entire customer support department for $50 a month. They opened a terminal. In 4 minutes they had the whole thing running. One agent classifies tickets. One reads the knowledge base. One handles billing. One watches the customer's tone. One decides when to escalate. One writes the report. One agent runs the other six. The math hit hard. 1,200 tickets a day per person. More than a call center of 8 operators. The company used to pay $25,000 to $40,000 a month in salaries. Now they pay $50 for the API. The video hit 4 million views in 72 hours. Every CEO in China was forwarding it. Every support team in America was panicking. While the West is still debating whether AI will replace workers, China just published the manual. These guys were teaching people how to fire a department. They just showed too much. Bro pause at 0:39. Ignore the guy in the blue shirt pointing. Look at the second monitor on the right. That window is not a support dashboard. That is a live wallet. gabagool22. $868,862 profit. 28,620 predictions. Joined October 2025. → They were filming a tutorial about replacing humans with cheap AI. Their own setup behind them was running an AI that replaces traders. 28,620 positions. All BTC. All 15 minute windows. All green. The comment section turned into a detective board. Someone slowed the video to 0.5x. Screenshotted every frame where the right monitor was visible. Stitched them together. Reconstructed the full wallet page from 6 seconds of background footage. Entry prices between 2 and 10 cents. Payouts in the thousands. Not one red row in 28,620 entries. Biggest single win: $4,696. From a 15 minute window on a Tuesday. The 7 support agents save a company $40K a month. The wallet on their second monitor makes that in one good week. The tutorial taught the world how to replace a customer support team. The setup behind them was already replacing the trading desk. They deleted the wallet zoom from the next upload. Too late. Someone had already screen recorded it. The clip hit Discord. Then Telegram. Then every dev forum. The tutorial got 4 million views. The zoom on their second monitor got another 800,000. 727K people watching the wallet now. The 7 agents are still answering tickets somewhere for $50 a month. The wallet behind them does not need 7 agents. It needs one. And that one was already running while they filmed.
4:31

Two Chinese developers recorded a 4 minute video showing how to build a team of 7 AI agents that replaces an entire customer support department for $50 a month. They opened a terminal. In 4 minutes they had the whole thing running. One agent classifies tickets. One reads the knowledge base. One handles billing. One watches the customer's tone. One decides when to escalate. One writes the report. One agent runs the other six. The math hit hard. 1,200 tickets a day per person. More than a call center of 8 operators. The company used to pay $25,000 to $40,000 a month in salaries. Now they pay $50 for the API. The video hit 4 million views in 72 hours. Every CEO in China was forwarding it. Every support team in America was panicking. While the West is still debating whether AI will replace workers, China just published the manual. These guys were teaching people how to fire a department. They just showed too much. Bro pause at 0:39. Ignore the guy in the blue shirt pointing. Look at the second monitor on the right. That window is not a support dashboard. That is a live wallet. gabagool22. $868,862 profit. 28,620 predictions. Joined October 2025. → They were filming a tutorial about replacing humans with cheap AI. Their own setup behind them was running an AI that replaces traders. 28,620 positions. All BTC. All 15 minute windows. All green. The comment section turned into a detective board. Someone slowed the video to 0.5x. Screenshotted every frame where the right monitor was visible. Stitched them together. Reconstructed the full wallet page from 6 seconds of background footage. Entry prices between 2 and 10 cents. Payouts in the thousands. Not one red row in 28,620 entries. Biggest single win: $4,696. From a 15 minute window on a Tuesday. The 7 support agents save a company $40K a month. The wallet on their second monitor makes that in one good week. The tutorial taught the world how to replace a customer support team. The setup behind them was already replacing the trading desk. They deleted the wallet zoom from the next upload. Too late. Someone had already screen recorded it. The clip hit Discord. Then Telegram. Then every dev forum. The tutorial got 4 million views. The zoom on their second monitor got another 800,000. 727K people watching the wallet now. The 7 agents are still answering tickets somewhere for $50 a month. The wallet behind them does not need 7 agents. It needs one. And that one was already running while they filmed.

Carver

234,893 views • 3 months ago

🚨 Chinese developers just dropped a 4-minute video and GitHub Repo that’s exploding the internet. They opened a terminal… and in just 4 minutes built a team of 7 AI agents that completely replace an entire customer support department. Cost? > Only $50 a month. > One agent classifies tickets. > One reads the knowledge base. > One handles billing. > One watches the customer’s tone. > One decides when to escalate. > One writes the reports. And one agent runs all the other six. The results? Brutal. 1,200 tickets a day per agent. More than a full call center of 8 human operators. Companies used to spend $25,000–$40,000 per month on salaries. Now they pay just $50 for the API. The video hit 4 million views in 72 hours. Every CEO in China was forwarding it. Every support team in America is panicking. While the West is still debating “Will AI replace jobs?”… China just published the actual manual on how to fire an entire department. But wait it gets way crazier. Pause the video at 0:39. Ignore the guy in the blue shirt. Look at the second monitor on the right. That’s not a support dashboard. That’s a live trading wallet. > Username: gabagool22 > $868,862 profit > 28,620 predictions > All on Bitcoin > All 15-minute windows Every single one green. Profile: Copying his trades: GitHub: The comment section turned into a detective agency. People slowed the video to 0.5x, screenshot every frame, and stitched the full wallet together from just 6 seconds of background footage. Entry prices: 2 to 10 cents. Payouts: thousands of dollars. Not one red trade in 28,620 bets. Biggest single win? $4,696 in one 15-minute window. Here’s the insane part: The 7 AI agents save a company $40K a month. The wallet on their second monitor makes that money in one good week. They were teaching the world how to replace humans with cheap AI. Meanwhile, their own setup behind the camera was already replacing traders. They deleted the wallet zoom in the next upload. Too late. Someone screen-recorded it anyway. The tutorial got 4 million views. The secret wallet clip got another 800K. Now 727K people are staring at that wallet. The 7 agents are still answering tickets somewhere for $50 a month. But the wallet behind them? It doesn’t need 7 agents. It only needs one. And that one was already running while they were filming. Mind officially blown Screenshot it. Send it to a friend. And ask yourself: what’s running on your second monitor?
4:31

🚨 Chinese developers just dropped a 4-minute video and GitHub Repo that’s exploding the internet. They opened a terminal… and in just 4 minutes built a team of 7 AI agents that completely replace an entire customer support department. Cost? > Only $50 a month. > One agent classifies tickets. > One reads the knowledge base. > One handles billing. > One watches the customer’s tone. > One decides when to escalate. > One writes the reports. And one agent runs all the other six. The results? Brutal. 1,200 tickets a day per agent. More than a full call center of 8 human operators. Companies used to spend $25,000–$40,000 per month on salaries. Now they pay just $50 for the API. The video hit 4 million views in 72 hours. Every CEO in China was forwarding it. Every support team in America is panicking. While the West is still debating “Will AI replace jobs?”… China just published the actual manual on how to fire an entire department. But wait it gets way crazier. Pause the video at 0:39. Ignore the guy in the blue shirt. Look at the second monitor on the right. That’s not a support dashboard. That’s a live trading wallet. > Username: gabagool22 > $868,862 profit > 28,620 predictions > All on Bitcoin > All 15-minute windows Every single one green. Profile: Copying his trades: GitHub: The comment section turned into a detective agency. People slowed the video to 0.5x, screenshot every frame, and stitched the full wallet together from just 6 seconds of background footage. Entry prices: 2 to 10 cents. Payouts: thousands of dollars. Not one red trade in 28,620 bets. Biggest single win? $4,696 in one 15-minute window. Here’s the insane part: The 7 AI agents save a company $40K a month. The wallet on their second monitor makes that money in one good week. They were teaching the world how to replace humans with cheap AI. Meanwhile, their own setup behind the camera was already replacing traders. They deleted the wallet zoom in the next upload. Too late. Someone screen-recorded it anyway. The tutorial got 4 million views. The secret wallet clip got another 800K. Now 727K people are staring at that wallet. The 7 agents are still answering tickets somewhere for $50 a month. But the wallet behind them? It doesn’t need 7 agents. It only needs one. And that one was already running while they were filming. Mind officially blown Screenshot it. Send it to a friend. And ask yourself: what’s running on your second monitor?

AdiiX

23,252 views • 3 months ago

💰 A TRADER just ROBBED POLYMARKET for $600,000! Started with ONLY $500 and EXPLOITED the BITCOIN PRICE DELAY - placing bets BEFORE the odds UPDATED! $500 → $600K in hours PURE GENIUS HACK! Who’s NEXT?! Trader Turns $500 into $600,000 on Polymarket in Hours – The Bitcoin Price Delay “Life Hack” That’s Going Viral A mysterious trader may have just pulled off what many in the crypto world are calling the ultimate prediction‑market coup — turning a modest $500 into roughly $600,000 in a single session by exploiting a subtle timing gap in Bitcoin price updates on Polymarket. Social posts that have erupted across X today describe how the trader repeatedly capitalised on a tiny latency in Polymarket’s short‑term Bitcoin markets, placing bets a split second before the platform adjusted prices to reflect real‑time market moves. How the “Glitch in the Matrix” Worked Polymarket’s popular ultra‑short “Bitcoin Up or Down” markets, which resolve in 5‑ or 15‑minute intervals, pull price data from major exchanges such as Binance. There is a slight delay — typically a few hundred milliseconds to a couple of seconds — between live exchange price movements and when those changes are reflected in Polymarket’s odds. According to observers, the trader (widely believed to be operating an automated bot) exploited this delay by watching the live price on external feeds, submitting bets on the direction of Bitcoin before Polymarket’s internal prices had fully adjusted, and repeating the process many times in rapid succession. One viral post captured the dynamic this way: “He was seeing the move a fraction of a second earlier, basically seeing the future. He entered positions before Polymarket odds could adjust. Over and over again. Not luck. Just speed.” Another read: “This is a man who found a glitch in the matrix and ran it until someone noticed.” Screenshots and wallet growth charts circulating online show an account balance rocketing from an initial $500 to mid‑six figures over a few hours, a dramatic ascent that has captured widespread attention. Not the First Time — But Still Wildly Profitable Polymarket has previously acknowledged the challenges of ultra‑short crypto markets and in early 2026 introduced dynamic fees intended to reduce latency arbitrage opportunities. The recent run suggests either the fix was incomplete or the trader has found a new way to capture fleeting price disparities faster than the protocol can adjust. Importantly, this was not a smart‑contract exploit or a rug pull. The activity described aligns with classic high‑frequency trading principles: exploit microsecond advantages in price information and execution. On Wall Street, quant funds have built entire businesses around similar edges. Here, that edge allegedly appeared accessible to an individual with sufficiently fast infrastructure. The Internet’s Reaction The story has ignited discussion across X, with both Russian and English accounts sharing wallet screenshots and short videos of the trades. Commentary ranges from admiration to criticism of the Polymarket mechanism. One widely shared post states: “A trader found a loophole and robbed the bookmaker Polymarket for $600,000. He exploited the delay in Bitcoin price updates… Started with just $500.” Replies to that thread span “genius” and “Polymarket is cooked,” reflecting a split between those whispering admiration for the execution and those questioning the sustainability of the platform’s design. Whether Polymarket will attempt to retroactively claw back profits, adjust rules or simply patch the vulnerability again remains unsettled. For the moment, the anonymous trader is alternately being hailed as a folk hero and criticised as a parasite of an imperfect system. Moral of the Story In prediction markets where time and information intersect, speed can be money. Today’s episode may turn into a cautionary tale about the refinement of oracle feeds and the race to eliminate latency advantages — or it may become part of crypto folklore, a dramatic demonstration of how imperfect markets can be bent by those who read the technical seams most closely.
0:23

💰 A TRADER just ROBBED POLYMARKET for $600,000! Started with ONLY $500 and EXPLOITED the BITCOIN PRICE DELAY - placing bets BEFORE the odds UPDATED! $500 → $600K in hours PURE GENIUS HACK! Who’s NEXT?! Trader Turns $500 into $600,000 on Polymarket in Hours – The Bitcoin Price Delay “Life Hack” That’s Going Viral A mysterious trader may have just pulled off what many in the crypto world are calling the ultimate prediction‑market coup — turning a modest $500 into roughly $600,000 in a single session by exploiting a subtle timing gap in Bitcoin price updates on Polymarket. Social posts that have erupted across X today describe how the trader repeatedly capitalised on a tiny latency in Polymarket’s short‑term Bitcoin markets, placing bets a split second before the platform adjusted prices to reflect real‑time market moves. How the “Glitch in the Matrix” Worked Polymarket’s popular ultra‑short “Bitcoin Up or Down” markets, which resolve in 5‑ or 15‑minute intervals, pull price data from major exchanges such as Binance. There is a slight delay — typically a few hundred milliseconds to a couple of seconds — between live exchange price movements and when those changes are reflected in Polymarket’s odds. According to observers, the trader (widely believed to be operating an automated bot) exploited this delay by watching the live price on external feeds, submitting bets on the direction of Bitcoin before Polymarket’s internal prices had fully adjusted, and repeating the process many times in rapid succession. One viral post captured the dynamic this way: “He was seeing the move a fraction of a second earlier, basically seeing the future. He entered positions before Polymarket odds could adjust. Over and over again. Not luck. Just speed.” Another read: “This is a man who found a glitch in the matrix and ran it until someone noticed.” Screenshots and wallet growth charts circulating online show an account balance rocketing from an initial $500 to mid‑six figures over a few hours, a dramatic ascent that has captured widespread attention. Not the First Time — But Still Wildly Profitable Polymarket has previously acknowledged the challenges of ultra‑short crypto markets and in early 2026 introduced dynamic fees intended to reduce latency arbitrage opportunities. The recent run suggests either the fix was incomplete or the trader has found a new way to capture fleeting price disparities faster than the protocol can adjust. Importantly, this was not a smart‑contract exploit or a rug pull. The activity described aligns with classic high‑frequency trading principles: exploit microsecond advantages in price information and execution. On Wall Street, quant funds have built entire businesses around similar edges. Here, that edge allegedly appeared accessible to an individual with sufficiently fast infrastructure. The Internet’s Reaction The story has ignited discussion across X, with both Russian and English accounts sharing wallet screenshots and short videos of the trades. Commentary ranges from admiration to criticism of the Polymarket mechanism. One widely shared post states: “A trader found a loophole and robbed the bookmaker Polymarket for $600,000. He exploited the delay in Bitcoin price updates… Started with just $500.” Replies to that thread span “genius” and “Polymarket is cooked,” reflecting a split between those whispering admiration for the execution and those questioning the sustainability of the platform’s design. Whether Polymarket will attempt to retroactively claw back profits, adjust rules or simply patch the vulnerability again remains unsettled. For the moment, the anonymous trader is alternately being hailed as a folk hero and criticised as a parasite of an imperfect system. Moral of the Story In prediction markets where time and information intersect, speed can be money. Today’s episode may turn into a cautionary tale about the refinement of oracle feeds and the race to eliminate latency advantages — or it may become part of crypto folklore, a dramatic demonstration of how imperfect markets can be bent by those who read the technical seams most closely.

Russian Market

36,649 views • 4 months ago

This trader used Claude to build a Quant Bot and made +$149,961 on Polymarket 79,484 predictions in 92 days with a 56% win rate How is this wallet bringing in about $1,630 per day? The logic is simple: 1. It moves through short crypto “Up / Down” markets with a high-frequency execution model 2. The setup combine continuous inventory management, temporal arbitrage and directional hedging, running at about 36 trades per hour 3. The bot can establish exposure on one outcome, wait for the probabilities to shift, and then add the opposite side to create a more balanced position This trader’s Polymarket account: antsaslyku Most profitable trades: $203 → $1,329 (+$1,125 +553.2%) $913 → $1,911 (+$999 +109.4%) $1,046 → $2,018 (+$973 +93.0%) The PnL was built by repeatedly adapting the same system to changing probabilities across tens of thousands of short market windows
0:25

This trader used Claude to build a Quant Bot and made +$149,961 on Polymarket 79,484 predictions in 92 days with a 56% win rate How is this wallet bringing in about $1,630 per day? The logic is simple: 1. It moves through short crypto “Up / Down” markets with a high-frequency execution model 2. The setup combine continuous inventory management, temporal arbitrage and directional hedging, running at about 36 trades per hour 3. The bot can establish exposure on one outcome, wait for the probabilities to shift, and then add the opposite side to create a more balanced position This trader’s Polymarket account: antsaslyku Most profitable trades: $203 → $1,329 (+$1,125 +553.2%) $913 → $1,911 (+$999 +109.4%) $1,046 → $2,018 (+$973 +93.0%) The PnL was built by repeatedly adapting the same system to changing probabilities across tens of thousands of short market windows

Daniro

25,821 views • 6 days ago

99% winrate: polymarket trader that literally forgets how to lose i found a wallet on Polymarket that feels like a glitch in the simulation his stats: win rate: 99% PnL: $30,000 strategy: manual, disciplined, high-probability trades bet size: ~$10k why this is the perfect copy-trading setup: >99% win rate means you almost never see a "red day" its the perfect setup for those who want steady growth without the stress of drawdowns >this isnt a high-speed bot, you have time to sync and follow without getting crushed by execution speed >at ~$10k per bet, he doesnt move the market. you can copy him using PolyGun and get filled at almost the same prices wallet:
0:51

99% winrate: polymarket trader that literally forgets how to lose i found a wallet on Polymarket that feels like a glitch in the simulation his stats: win rate: 99% PnL: $30,000 strategy: manual, disciplined, high-probability trades bet size: ~$10k why this is the perfect copy-trading setup: >99% win rate means you almost never see a "red day" its the perfect setup for those who want steady growth without the stress of drawdowns >this isnt a high-speed bot, you have time to sync and follow without getting crushed by execution speed >at ~$10k per bet, he doesnt move the market. you can copy him using PolyGun and get filled at almost the same prices wallet:

AshenSoul

33,904 views • 6 months ago

B3 Co-founder Viktoriya just copy-traded a Polymarket whale without a Polymarket account. She typed one prompt into B3OS to: → monitor a specific trader on Polymarket → mirror their predictions within a set budget → send a Slack notification each time the workflow executes → turn the office light blue when the workflow executes (because why not?) Caddie, the B3OS AI agent, built the full workflow with one simple prompt. Every trigger, budget check, and connector mapped out on screen before Viktoriya reviewed and hit publish. The workflow went live and started running on its own. The whale placed a bet on Polymarket. B3OS caught it, pulled funds from Viktoriya's wallet regardless of which chain they were on, mirrored the position, and executed. Two runs fired. The office light turned blue. This is B3OS. Launching soon.
3:29

B3 Co-founder Viktoriya just copy-traded a Polymarket whale without a Polymarket account. She typed one prompt into B3OS to: → monitor a specific trader on Polymarket → mirror their predictions within a set budget → send a Slack notification each time the workflow executes → turn the office light blue when the workflow executes (because why not?) Caddie, the B3OS AI agent, built the full workflow with one simple prompt. Every trigger, budget check, and connector mapped out on screen before Viktoriya reviewed and hit publish. The workflow went live and started running on its own. The whale placed a bet on Polymarket. B3OS caught it, pulled funds from Viktoriya's wallet regardless of which chain they were on, mirrored the position, and executed. Two runs fired. The office light turned blue. This is B3OS. Launching soon.

B3

10,343 views • 3 months ago

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

281,266 views • 3 months ago

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

202,609 views • 3 months ago

I built a C++ terminal to scan Polymarket for automated wallets. The first one it flagged was making $152K per week. Account88888. 99% win rate. Over 11,000 trades. The script surfaced it in minutes. I spent three weeks writing a scanner that monitors wallet behavior across Polymarket. Entry patterns. Position sizing. Timing intervals. → Wallet: The goal was simple find accounts that trade too consistently to be human. The first hit came back with stats that looked like a database error. 99% green. Thousands of executions. Profit curve pointing straight up without a single meaningful dip. I almost dismissed it as bad data. Then I opened the positions manually. The bot buys UP and DOWN on the same BTC window. Every time. Not alternating. Simultaneously. Sounds like guaranteed loss until you look at the pricing. During high volatility, Polymarket misprices both sides. UP costs 48 cents. DOWN costs 46 cents. Together that is 94 cents for two outcomes where one must pay a dollar. The bot buys both. Waits fifteen minutes. Collects $1. Keeps 6 cents. Repeats. It does not care about direction. Does not read charts. Does not react to news. It farms the spread between panic pricing and mathematical certainty. The wallet used to be named JaneStreetIndia before switching to something generic. Smart money stays quiet. My scanner keeps finding more of these. Different strategies but same signature execution patterns too clean and too fast for human hands. I built this tool expecting to learn how the best traders think. Instead I learned they do not think at all. They calculate.
0:52

I built a C++ terminal to scan Polymarket for automated wallets. The first one it flagged was making $152K per week. Account88888. 99% win rate. Over 11,000 trades. The script surfaced it in minutes. I spent three weeks writing a scanner that monitors wallet behavior across Polymarket. Entry patterns. Position sizing. Timing intervals. → Wallet: The goal was simple find accounts that trade too consistently to be human. The first hit came back with stats that looked like a database error. 99% green. Thousands of executions. Profit curve pointing straight up without a single meaningful dip. I almost dismissed it as bad data. Then I opened the positions manually. The bot buys UP and DOWN on the same BTC window. Every time. Not alternating. Simultaneously. Sounds like guaranteed loss until you look at the pricing. During high volatility, Polymarket misprices both sides. UP costs 48 cents. DOWN costs 46 cents. Together that is 94 cents for two outcomes where one must pay a dollar. The bot buys both. Waits fifteen minutes. Collects $1. Keeps 6 cents. Repeats. It does not care about direction. Does not read charts. Does not react to news. It farms the spread between panic pricing and mathematical certainty. The wallet used to be named JaneStreetIndia before switching to something generic. Smart money stays quiet. My scanner keeps finding more of these. Different strategies but same signature execution patterns too clean and too fast for human hands. I built this tool expecting to learn how the best traders think. Instead I learned they do not think at all. They calculate.

Marlow

819,983 views • 6 months ago

A Chinese developer in Shenzhen was scrolling Twitter when he saw a 31 second clip of a Tokyo University student saying the trick to anything is starting for 5 minutes. He opened Claude and typed one line. Build me something that changes my life. You have 5 minutes. The agent did not ask follow up questions. It started writing code. By the time the 5 minutes were up Claude had built itself a second agent. The second agent's only job was to spawn a third one. The third one was watching Bitcoin. By morning there were 11 agents on his laptop. Each one running on the same one line prompt. Build something that changes his life. You have 5 minutes. Some agents wrote scripts. Some agents wrote other agents. One of them went straight to a public market and started entering positions. While the West is still asking Claude to write essays, China is already letting one prompt spawn 11 agents that change a developer's life overnight. The developer wanted to test the Tokyo student's idea. He just showed too much. He filmed himself walking through what the agents had built. Posted the breakdown to Bilibili. Pause at 0:21. Ignore his face. Look at the laptop on the desk. That tab is not the agent dashboard. That is a live wallet. kingofcoinflips. $820,819 profit. 3,189 predictions. Joined August 2025. → The Tokyo student was telling viewers how to start studying. One of the 11 agents had been running on its own for 8 months. Started with rent money the developer could not afford to lose. Now sitting at $820K. The agent does the simplest thing possible. Waits for Bitcoin to already make a big move on Binance. Then enters the side that already won while the public market is still catching up. $44K bet returned $114K. $9K bet returned $42K at 330%. Entry at 23 cents. Exit at $1. Biggest single win: $69,849. From a Tuesday morning Bitcoin window. The comment section turned into a detective board. Someone slowed the video to 0.25x. Read the wallet name off the corner of the laptop. Ran it through a public explorer and posted the profit curve. Flat for two weeks. Then straight up. 3,189 winning bets in a row. Every line green. The Tokyo student told viewers to start for 5 minutes. The developer typed one sentence and let the agent decide what to start. 8 months later the laptop is still deciding. He deleted the laptop frame from the reupload. Too late. Someone had already screen recorded it. The clip hit Discord. Then Telegram. Then every dev forum. The original tutorial got 2 million views. The zoom on the laptop got another 600,000. 99K people watching the wallet now. The student is still telling Japan to study for 5 minutes. The 11 agents are still rewriting their own code. The one in the corner is the one that actually changed his life.
0:31

A Chinese developer in Shenzhen was scrolling Twitter when he saw a 31 second clip of a Tokyo University student saying the trick to anything is starting for 5 minutes. He opened Claude and typed one line. Build me something that changes my life. You have 5 minutes. The agent did not ask follow up questions. It started writing code. By the time the 5 minutes were up Claude had built itself a second agent. The second agent's only job was to spawn a third one. The third one was watching Bitcoin. By morning there were 11 agents on his laptop. Each one running on the same one line prompt. Build something that changes his life. You have 5 minutes. Some agents wrote scripts. Some agents wrote other agents. One of them went straight to a public market and started entering positions. While the West is still asking Claude to write essays, China is already letting one prompt spawn 11 agents that change a developer's life overnight. The developer wanted to test the Tokyo student's idea. He just showed too much. He filmed himself walking through what the agents had built. Posted the breakdown to Bilibili. Pause at 0:21. Ignore his face. Look at the laptop on the desk. That tab is not the agent dashboard. That is a live wallet. kingofcoinflips. $820,819 profit. 3,189 predictions. Joined August 2025. → The Tokyo student was telling viewers how to start studying. One of the 11 agents had been running on its own for 8 months. Started with rent money the developer could not afford to lose. Now sitting at $820K. The agent does the simplest thing possible. Waits for Bitcoin to already make a big move on Binance. Then enters the side that already won while the public market is still catching up. $44K bet returned $114K. $9K bet returned $42K at 330%. Entry at 23 cents. Exit at $1. Biggest single win: $69,849. From a Tuesday morning Bitcoin window. The comment section turned into a detective board. Someone slowed the video to 0.25x. Read the wallet name off the corner of the laptop. Ran it through a public explorer and posted the profit curve. Flat for two weeks. Then straight up. 3,189 winning bets in a row. Every line green. The Tokyo student told viewers to start for 5 minutes. The developer typed one sentence and let the agent decide what to start. 8 months later the laptop is still deciding. He deleted the laptop frame from the reupload. Too late. Someone had already screen recorded it. The clip hit Discord. Then Telegram. Then every dev forum. The original tutorial got 2 million views. The zoom on the laptop got another 600,000. 99K people watching the wallet now. The student is still telling Japan to study for 5 minutes. The 11 agents are still rewriting their own code. The one in the corner is the one that actually changed his life.

Carver

17,952 views • 3 months ago

Polymarket added fees so most arbitrage bots died. Devs who spent months building strategies watched their edge disappear in one update. But a small group figured out how to stay profitable anyway. This wallet is making $27,000 every single day right now. $743,000 in 35 days. 31,566 predictions. Fully automated. And it is running the exact same strategy i broke down in my previous article. His wallet: < Here is exactly how it works and why fees didn't kill it: The bot trades crypto Up/Down markets across BTC, ETH, SOL and XRP simultaneously. Not randomly. With surgical precision on timing and entry price. Look at the realized moves: Bitcoin position turned $2,300 into $8,260. XRP position turned $10,105 into $22,100. Ethereum position turned $1,347 into $10,950. Those are not lucky trades. That is a system firing correctly at scale. The reason fees didn't destroy this bot is the same reason i explained before. Pure speed arbitrage bots died because their edge was margin - and fees ate the margin completely. This bot doesn't rely on tiny spread captures. It combines pair-sum arbitrage with precise entry timing to find windows where combined price is cheap enough that fees still leave meaningful profit on the table. The math only works at specific entry prices and specific timing windows. Most bots can't find those windows fast enough. This one can because the infrastructure is fast enough to compete. $27,000 per day from a strategy that survived the fee update while everyone else shut down. That is not luck. That is being technically ahead of the competition. The gap between bots that died and bots that kept printing was never the strategy. It was execution quality and infrastructure speed.
0:22

Polymarket added fees so most arbitrage bots died. Devs who spent months building strategies watched their edge disappear in one update. But a small group figured out how to stay profitable anyway. This wallet is making $27,000 every single day right now. $743,000 in 35 days. 31,566 predictions. Fully automated. And it is running the exact same strategy i broke down in my previous article. His wallet: < Here is exactly how it works and why fees didn't kill it: The bot trades crypto Up/Down markets across BTC, ETH, SOL and XRP simultaneously. Not randomly. With surgical precision on timing and entry price. Look at the realized moves: Bitcoin position turned $2,300 into $8,260. XRP position turned $10,105 into $22,100. Ethereum position turned $1,347 into $10,950. Those are not lucky trades. That is a system firing correctly at scale. The reason fees didn't destroy this bot is the same reason i explained before. Pure speed arbitrage bots died because their edge was margin - and fees ate the margin completely. This bot doesn't rely on tiny spread captures. It combines pair-sum arbitrage with precise entry timing to find windows where combined price is cheap enough that fees still leave meaningful profit on the table. The math only works at specific entry prices and specific timing windows. Most bots can't find those windows fast enough. This one can because the infrastructure is fast enough to compete. $27,000 per day from a strategy that survived the fee update while everyone else shut down. That is not luck. That is being technically ahead of the competition. The gap between bots that died and bots that kept printing was never the strategy. It was execution quality and infrastructure speed.

Punisher

34,167 views • 3 months ago

Anthropic released an update for Claude, and one student turned $1,400 into $238,000 in 11 days. His wallet: 0xdE17 He’s not a trader. Not a developer. Just a student with a laptop and access to Claude. When Anthropic updated Claude’s skills architecture, he spent two nights reading the documentation and built a bot from scratch. The result: $1,430 → $238,006 in 11 days 366 trades 62% win rate Largest single win: $52,700 How it works: The bot scans Polymarket every few seconds looking for markets where the price deviates from fair value by more than 8%. That’s the edge. Most people never notice it. The bot always does. The strategy is simple: The market prices an event at 30¢ The real probability based on data is closer to 55¢ The bot enters, waits, and exits as the market reprices It’s not luck. It’s attention arbitrage. The biggest trade was a bet that Trump would sign a crypto executive order in March. The market priced it at 28¢. The bot entered with $16,000. Exited at 81¢. In 11 days, he went through a journey most traders never experience in years. Now the wallet is public, and with this terminal you can copy the trades in real time: 0xde17f7144fbd0eddb2679132c10ff5e74b120988 Copytrade → People keep asking him: “How much starting capital do you need?” He answered: “I had $1,400 and a sleepless night.” Anthropic built the tool. He simply wasn’t afraid to use it.
1:00

Anthropic released an update for Claude, and one student turned $1,400 into $238,000 in 11 days. His wallet: 0xdE17 He’s not a trader. Not a developer. Just a student with a laptop and access to Claude. When Anthropic updated Claude’s skills architecture, he spent two nights reading the documentation and built a bot from scratch. The result: $1,430 → $238,006 in 11 days 366 trades 62% win rate Largest single win: $52,700 How it works: The bot scans Polymarket every few seconds looking for markets where the price deviates from fair value by more than 8%. That’s the edge. Most people never notice it. The bot always does. The strategy is simple: The market prices an event at 30¢ The real probability based on data is closer to 55¢ The bot enters, waits, and exits as the market reprices It’s not luck. It’s attention arbitrage. The biggest trade was a bet that Trump would sign a crypto executive order in March. The market priced it at 28¢. The bot entered with $16,000. Exited at 81¢. In 11 days, he went through a journey most traders never experience in years. Now the wallet is public, and with this terminal you can copy the trades in real time: 0xde17f7144fbd0eddb2679132c10ff5e74b120988 Copytrade → People keep asking him: “How much starting capital do you need?” He answered: “I had $1,400 and a sleepless night.” Anthropic built the tool. He simply wasn’t afraid to use it.

Discover

114,227 views • 4 months ago

Built a scanner that became my lifechanger. 500 lines of C++ found a wallet turning -$19K into $343K. The script tracks Polymarket wallets in real time. Flags anomalies. Dumps the data into my terminal. PurpleThunderBicycleMountain broke every threshold I coded. Expected arbitrage when I pulled the logs. Some bot buying both sides. Farming the spread. Standard stuff. → Wallet: Not what I found. This wallet picks one direction. Bets heavy. Walks away right almost every single time. The code showed me what he sees. BTC spikes on Binance. My terminal pings. Polymarket still shows old odds. 30 second delay. He buys YES at 25 cents while the market thinks it is 50/50. One ETH trade made my scanner light up red. Price dumped on spot. He loaded NO at 1.5 cents. Kept buying up to 15 cents. Window closed down. Every share paid $1. 785% return. Fifteen minutes. I had to run the calculation twice. $7,000 average position. $69 million volume. Dozens of trades per day. From a wallet three weeks old. I wrote this terminal to find edges. Spent months on the codebase. Did not expect it to find someone trading 30 seconds into the future. The lag is still there. My scanner is still running. The wallet is still printing. Sometimes the best trade is the code you write to find the trade.
0:51

Built a scanner that became my lifechanger. 500 lines of C++ found a wallet turning -$19K into $343K. The script tracks Polymarket wallets in real time. Flags anomalies. Dumps the data into my terminal. PurpleThunderBicycleMountain broke every threshold I coded. Expected arbitrage when I pulled the logs. Some bot buying both sides. Farming the spread. Standard stuff. → Wallet: Not what I found. This wallet picks one direction. Bets heavy. Walks away right almost every single time. The code showed me what he sees. BTC spikes on Binance. My terminal pings. Polymarket still shows old odds. 30 second delay. He buys YES at 25 cents while the market thinks it is 50/50. One ETH trade made my scanner light up red. Price dumped on spot. He loaded NO at 1.5 cents. Kept buying up to 15 cents. Window closed down. Every share paid $1. 785% return. Fifteen minutes. I had to run the calculation twice. $7,000 average position. $69 million volume. Dozens of trades per day. From a wallet three weeks old. I wrote this terminal to find edges. Spent months on the codebase. Did not expect it to find someone trading 30 seconds into the future. The lag is still there. My scanner is still running. The wallet is still printing. Sometimes the best trade is the code you write to find the trade.

Marlow

28,050 views • 6 months ago

This trader used Claude to build a QUANT Bot and made +$118,301 on Polymarket 37,679 predictions in 48 days with a 47% win rate How is this wallet bringing in about $2,465 per day? The logic is simple: > It runs a high-frequency system across short crypto “Up / Down” markets > Its approach combines temporal arbitrage, hedged directional positioning, and active inventory rotation > The bot can take one side when the probabilities move too far, complete the hedge later as conditions change, and rebalance toward whichever outcome still offers the stronger edge This wallet has also been running at a little under 33 trades per hour This trader’s Polymarket account: bosona Most profitable trades: $333 → $1,899 (+$1,567 +471.1%) $367 → $1,504 (+$1,136 +309.3%) $129 → $1,242 (+$1,113 +862.1%) This wallet has also been running at a little under 33 trades per hour
0:25

This trader used Claude to build a QUANT Bot and made +$118,301 on Polymarket 37,679 predictions in 48 days with a 47% win rate How is this wallet bringing in about $2,465 per day? The logic is simple: > It runs a high-frequency system across short crypto “Up / Down” markets > Its approach combines temporal arbitrage, hedged directional positioning, and active inventory rotation > The bot can take one side when the probabilities move too far, complete the hedge later as conditions change, and rebalance toward whichever outcome still offers the stronger edge This wallet has also been running at a little under 33 trades per hour This trader’s Polymarket account: bosona Most profitable trades: $333 → $1,899 (+$1,567 +471.1%) $367 → $1,504 (+$1,136 +309.3%) $129 → $1,242 (+$1,113 +862.1%) This wallet has also been running at a little under 33 trades per hour

Daniro

10,766 views • 10 days ago

Classic Market Manipulation. The Trump administration not only insider trades, but they manipulate the markets for personal profits. For anyone that doesn understand this, let me explain. Lets say the price of Bitcoin was $70,000 right now..... Barron could buy $10,000,000 in Bitcoin then get his dad to speak about Bitcoin positively in an interview, before this happens Barron uses his Bitcoin to bet that the price will increase with Leverage, He bets with the Power of $100,000,000 that the price will increase. Trump comes out in an interview and say the US will invest heavily in crypto currencies, crypto is the future ect... The price of Bitcoin instantly spikes to $80,000. Barron would profit $14.29M from that trade, then again they could do it the opposite way. They can short the market betting the price will go down, Buys 10 mill of Bitcoin, Shorts with Leverage. Trump comes out and says that the Crypto Clarity act may not pass, Bitcoin Price crashes, Barron Profits. We have seen the Trump administration do this already with Oil Prices with Barron making oil trades to the tune of $50 Million dollars just days before Trump invaded Iran and made Oil Prices spike. Every single one of these people need to go to jail.
0:36

Classic Market Manipulation. The Trump administration not only insider trades, but they manipulate the markets for personal profits. For anyone that doesn understand this, let me explain. Lets say the price of Bitcoin was $70,000 right now..... Barron could buy $10,000,000 in Bitcoin then get his dad to speak about Bitcoin positively in an interview, before this happens Barron uses his Bitcoin to bet that the price will increase with Leverage, He bets with the Power of $100,000,000 that the price will increase. Trump comes out in an interview and say the US will invest heavily in crypto currencies, crypto is the future ect... The price of Bitcoin instantly spikes to $80,000. Barron would profit $14.29M from that trade, then again they could do it the opposite way. They can short the market betting the price will go down, Buys 10 mill of Bitcoin, Shorts with Leverage. Trump comes out and says that the Crypto Clarity act may not pass, Bitcoin Price crashes, Barron Profits. We have seen the Trump administration do this already with Oil Prices with Barron making oil trades to the tune of $50 Million dollars just days before Trump invaded Iran and made Oil Prices spike. Every single one of these people need to go to jail.

Bricktop_NAFO

102,303 views • 4 months ago

BREAKING: A Google engineer just got arrested for insider trading. But not on stocks... On ONE specific bet, using data that only a handful of Google employees were allowed to see. Meet Michele Spagnuolo. 36 years old. Italian national. Long-serving Google security engineer based in Zurich. One of a limited number of employees with access to the internal data behind Google's "Year in Search" report. The same report Google publishes every December. The one that ranks the most-searched people, events, and terms of the year. Marketing campaign. Cultural moment. Commercial barometer of Google's dominance in search. And, according to the FBI, the foundation of a million-dollar insider trading scheme on Polymarket. Between October and December 2025, Spagnuolo allegedly logged into Google's internal tool to view the unpublished Year in Search rankings. The screen displayed "Confidential" in red text at the top. He looked anyway. Then he opened Polymarket under the account name "AlphaRaccoon." And he started loading up. His first bet was $403 on Kendrick Lamar to be the most-searched person of 2025. The market gave Lamar a 3% probability. It started small. It did not stay small. $10,807 against Pope Leo XIV being the most-searched person. $937,688 against Bianca Censori being the most-searched person at 85% probability. $509,149 against Donald Trump being the most-searched person at 90% probability. $171,612 against Trump being in the top five at 66% probability. The bets weren't random. They were precisely shaped to match a leaderboard nobody outside Google had seen. Then he placed the bet that gives the whole thing away. $381 on a relatively unknown singer named D4vd to be among the top five most-searched individuals. The market gave that 18% probability. He made the bet in November. After, according to the FBI, re-accessing the internal Year in Search data, which had updated since he viewed it in October. He placed another $5 bet on D4vd to be number one. The market gave that almost zero. On December 4, Google published the Year in Search 2025 report. D4vd was number one. Spagnuolo's bets resolved. The AlphaRaccoon account collected approximately $1.2 million in profit. Almost immediately, the wallet started moving the money out. 5.045 million USDC was transferred off Polymarket and into a series of decentralized swap services. Then into a privacy-focused cryptocurrency mixer that strips wallet addresses from the blockchain. The FBI says this was an attempt to launder the proceeds. And here's where the story turns from a corporate insider scandal into something more interesting. Within days of the Year in Search release, online sleuths were already speculating that AlphaRaccoon had to be a Google insider. The bets were too specific. The bankroll was too large. The timing was too clean. The FBI was watching the same forums. Special Agent Brandon Racz pulled the criminal complaint together by combining blockchain data, Google's internal access logs, and screenshots of the confidential dashboard Spagnuolo had viewed. The dashboard logs reportedly showed his employee ID accessing the unpublished data on the exact dates that matched the betting pattern. On May 27, 2026, Spagnuolo was arrested. The charges: Commodities fraud. Wire fraud. Money laundering. Combined maximum sentence: 50 years. The CFTC filed a parallel civil complaint within hours. US Attorney Jay Clayton's statement is the part worth reading twice. "Today's charges reinforce a decades-old message: corporate insiders cannot use confidential business information to turn a profit in our markets." Translation: Polymarket is now "our markets."
2:04

BREAKING: A Google engineer just got arrested for insider trading. But not on stocks... On ONE specific bet, using data that only a handful of Google employees were allowed to see. Meet Michele Spagnuolo. 36 years old. Italian national. Long-serving Google security engineer based in Zurich. One of a limited number of employees with access to the internal data behind Google's "Year in Search" report. The same report Google publishes every December. The one that ranks the most-searched people, events, and terms of the year. Marketing campaign. Cultural moment. Commercial barometer of Google's dominance in search. And, according to the FBI, the foundation of a million-dollar insider trading scheme on Polymarket. Between October and December 2025, Spagnuolo allegedly logged into Google's internal tool to view the unpublished Year in Search rankings. The screen displayed "Confidential" in red text at the top. He looked anyway. Then he opened Polymarket under the account name "AlphaRaccoon." And he started loading up. His first bet was $403 on Kendrick Lamar to be the most-searched person of 2025. The market gave Lamar a 3% probability. It started small. It did not stay small. $10,807 against Pope Leo XIV being the most-searched person. $937,688 against Bianca Censori being the most-searched person at 85% probability. $509,149 against Donald Trump being the most-searched person at 90% probability. $171,612 against Trump being in the top five at 66% probability. The bets weren't random. They were precisely shaped to match a leaderboard nobody outside Google had seen. Then he placed the bet that gives the whole thing away. $381 on a relatively unknown singer named D4vd to be among the top five most-searched individuals. The market gave that 18% probability. He made the bet in November. After, according to the FBI, re-accessing the internal Year in Search data, which had updated since he viewed it in October. He placed another $5 bet on D4vd to be number one. The market gave that almost zero. On December 4, Google published the Year in Search 2025 report. D4vd was number one. Spagnuolo's bets resolved. The AlphaRaccoon account collected approximately $1.2 million in profit. Almost immediately, the wallet started moving the money out. 5.045 million USDC was transferred off Polymarket and into a series of decentralized swap services. Then into a privacy-focused cryptocurrency mixer that strips wallet addresses from the blockchain. The FBI says this was an attempt to launder the proceeds. And here's where the story turns from a corporate insider scandal into something more interesting. Within days of the Year in Search release, online sleuths were already speculating that AlphaRaccoon had to be a Google insider. The bets were too specific. The bankroll was too large. The timing was too clean. The FBI was watching the same forums. Special Agent Brandon Racz pulled the criminal complaint together by combining blockchain data, Google's internal access logs, and screenshots of the confidential dashboard Spagnuolo had viewed. The dashboard logs reportedly showed his employee ID accessing the unpublished data on the exact dates that matched the betting pattern. On May 27, 2026, Spagnuolo was arrested. The charges: Commodities fraud. Wire fraud. Money laundering. Combined maximum sentence: 50 years. The CFTC filed a parallel civil complaint within hours. US Attorney Jay Clayton's statement is the part worth reading twice. "Today's charges reinforce a decades-old message: corporate insiders cannot use confidential business information to turn a profit in our markets." Translation: Polymarket is now "our markets."

Insider Trackers

20,241 views • 2 months ago

Someone spends 40 years at a factory. Retires with $100K in savings. Calls it a life's work. Someone else made that in 4 days on Polymarket. $5.57M profit. Joined January 2026. One month ago. First time I saw this I closed the tab. Thought it was inspect element. Then I checked the blockchain. → Wallet: 1,891 predictions. Biggest single win: $1.5 million. On one match. He does not predict winners. He predicts price movement before it happens. Entry at 34 cents. Exit at 91 cents. The match had not even started yet. Entry at 41 cents. Exit at 88 cents. Final score was still 0-0. He sells before the outcome. Every time. The markets think they are betting on sports. He is betting on the crowd. When 50,000 people panic buy after a goal, the price spikes. He is already out by then. Sitting on a 160% gain while everyone else fights for scraps. His positions value right now: $1.4M. Active. Waiting. 110,000 people have viewed this profile. Most of them saw the numbers and scrolled past. Thought it was fake. I did too. Then I verified 47 transactions on chain. The hashes do not lie. This is not luck. Luck does not produce a profit curve that looks like a staircase going up. I stopped trying to understand WHY it works. I started watching WHEN he moves. Two days ago I copied one of his positions. Entry at $0.38. Sold at $0.79 before the event resolved. +107%. No prediction needed. Just timing. Some people spend 40 years earning what this wallet makes in a week. I am not saying the system is broken. I am saying some people found the glitch.
0:55

Someone spends 40 years at a factory. Retires with $100K in savings. Calls it a life's work. Someone else made that in 4 days on Polymarket. $5.57M profit. Joined January 2026. One month ago. First time I saw this I closed the tab. Thought it was inspect element. Then I checked the blockchain. → Wallet: 1,891 predictions. Biggest single win: $1.5 million. On one match. He does not predict winners. He predicts price movement before it happens. Entry at 34 cents. Exit at 91 cents. The match had not even started yet. Entry at 41 cents. Exit at 88 cents. Final score was still 0-0. He sells before the outcome. Every time. The markets think they are betting on sports. He is betting on the crowd. When 50,000 people panic buy after a goal, the price spikes. He is already out by then. Sitting on a 160% gain while everyone else fights for scraps. His positions value right now: $1.4M. Active. Waiting. 110,000 people have viewed this profile. Most of them saw the numbers and scrolled past. Thought it was fake. I did too. Then I verified 47 transactions on chain. The hashes do not lie. This is not luck. Luck does not produce a profit curve that looks like a staircase going up. I stopped trying to understand WHY it works. I started watching WHEN he moves. Two days ago I copied one of his positions. Entry at $0.38. Sold at $0.79 before the event resolved. +107%. No prediction needed. Just timing. Some people spend 40 years earning what this wallet makes in a week. I am not saying the system is broken. I am saying some people found the glitch.

Marlow

53,944 views • 6 months ago

Anthropic released an update for Claude, and one young guy turned $1,400 into $238,000 in 11 days His account is 0xdE17. He is not a trader. Not a developer. Just a student with a laptop and access to Claude. When Anthropic updated the skills architecture for Claude, he didn’t sleep for two nights, read the documentation, and built a bot from scratch. Result: $1,430 → $238,006 in 11 days 366 trades. Win rate 62%. The biggest win $52,700 on a single bet. How it works: The bot scans Polymarket every few seconds looking for markets where the price deviates from the fair value by more than 8%. That’s the edge. Most people don’t see it the bot always does. The strategy is painfully simple - The market says 30¢ for an event - The real probability based on data is 55¢ - The bot enters. Waits. Exits at the peak. This isn’t luck. It’s attention arbitrage. The biggest trade was a bet that Trump would sign a crypto executive order in March. The market priced it at 28¢. The bot placed $16,000. Exited at 81¢. In 11 days he went through a journey most traders don’t go through in years. Now his wallet is public, and with the help of this terminal you will be able to copy his trades in time: Bot 0xdE17 CLAWD BTC SNIPER is open for copy-trade. People ask him: “How much starting capital do you need?” He replied: “I had $1,400 and a sleepless night.” Anthropic gave the tool. He simply wasn’t afraid to use it.
1:01

Anthropic released an update for Claude, and one young guy turned $1,400 into $238,000 in 11 days His account is 0xdE17. He is not a trader. Not a developer. Just a student with a laptop and access to Claude. When Anthropic updated the skills architecture for Claude, he didn’t sleep for two nights, read the documentation, and built a bot from scratch. Result: $1,430 → $238,006 in 11 days 366 trades. Win rate 62%. The biggest win $52,700 on a single bet. How it works: The bot scans Polymarket every few seconds looking for markets where the price deviates from the fair value by more than 8%. That’s the edge. Most people don’t see it the bot always does. The strategy is painfully simple - The market says 30¢ for an event - The real probability based on data is 55¢ - The bot enters. Waits. Exits at the peak. This isn’t luck. It’s attention arbitrage. The biggest trade was a bet that Trump would sign a crypto executive order in March. The market priced it at 28¢. The bot placed $16,000. Exited at 81¢. In 11 days he went through a journey most traders don’t go through in years. Now his wallet is public, and with the help of this terminal you will be able to copy his trades in time: Bot 0xdE17 CLAWD BTC SNIPER is open for copy-trade. People ask him: “How much starting capital do you need?” He replied: “I had $1,400 and a sleepless night.” Anthropic gave the tool. He simply wasn’t afraid to use it.

AdiiX

1,764,612 views • 4 months ago

I ASKED MIROFISH TO LOOK AT 10,000+ POLYMARKET WALLETS this is what stood out ↓ > dense clusters of high-EV actors > clusters of top traders focusing on similar markets > wallets reacting to the same info within short windows > patterns repeating across different events nothing magical > but definitely not random it starts to look like a simple multi-agent system: > people updating beliefs > acting on new information > slowly pushing prices toward probability in other words: > a live network of Bayesian updates the insight is simple but uncomfortable: > price is just the surface > the real signal is in how agents interact once you model that layer > you’re not just reading markets > you’re reading the system behind them you can explore the same wallets here: and the interesting part: > edges don’t come from predicting events > they come from spotting where the network hasn’t converged yet
0:26

I ASKED MIROFISH TO LOOK AT 10,000+ POLYMARKET WALLETS this is what stood out ↓ > dense clusters of high-EV actors > clusters of top traders focusing on similar markets > wallets reacting to the same info within short windows > patterns repeating across different events nothing magical > but definitely not random it starts to look like a simple multi-agent system: > people updating beliefs > acting on new information > slowly pushing prices toward probability in other words: > a live network of Bayesian updates the insight is simple but uncomfortable: > price is just the surface > the real signal is in how agents interact once you model that layer > you’re not just reading markets > you’re reading the system behind them you can explore the same wallets here: and the interesting part: > edges don’t come from predicting events > they come from spotting where the network hasn’t converged yet

Mr. Buzzoni

69,698 views • 4 months ago