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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:show more

cvxv666

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201,848 просмотров • 1 месяц назад •via X (Twitter)

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A 33-year-old quant from Hong Kong built a perfect BTC price simulation engine with a swarm of agents. 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: Humans can’t process dozens of gigabytes of data in seconds - but Claude can. Closed order book feeds from CEXs, live data from OTC trading desks, Pyth oracles - AI agent gathers all of it in one iteration. His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $369,000 all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. 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 the full guide to build the same bot? Save the post and read the article. Want to start copying his trades right now? Use this TG copy-trading bot (US users can actually trade here, unlike the main Polymarket site):

A 33-year-old quant from Hong Kong built a perfect BTC price simulation engine with a swarm of agents. 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: Humans can’t process dozens of gigabytes of data in seconds - but Claude can. Closed order book feeds from CEXs, live data from OTC trading desks, Pyth oracles - AI agent gathers all of it in one iteration. His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $369,000 all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. 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 the full guide to build the same bot? Save the post and read the article. Want to start copying his trades right now? Use this TG copy-trading bot (US users can actually trade here, unlike the main Polymarket site):

cvxv666

82,480 просмотров • 1 месяц назад

A 23-year-old realtor from Nebraska lost his job and started studying Claude. The result? He made $22,000 in a single day. His Polymarket algorithm generated $249,000 in profit over the past month. Wallet proof: Dude spent around 250 hours teaching his Claude to collect data and run simulations through MiroFish. Now the bot runs on full autopilot - the perfect machine for extracting mathematical inefficiencies in BTC markets. He doesn’t need to predict the future - he simply calculates the perfect moment to buy both the UP and DOWN sides for a total of less than $1. The crowd reacts to price direction quickly - but he’s even faster. Thanks to data from private order books like Kraken and closed OTC BTC desks, he’s always one step ahead. 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 build your own algo? Save this post and read the article. Alternatively, if you prefer not to miss his next profitable trades, you can start copying every single one of them right now with this TG bot:

A 23-year-old realtor from Nebraska lost his job and started studying Claude. The result? He made $22,000 in a single day. His Polymarket algorithm generated $249,000 in profit over the past month. Wallet proof: Dude spent around 250 hours teaching his Claude to collect data and run simulations through MiroFish. Now the bot runs on full autopilot - the perfect machine for extracting mathematical inefficiencies in BTC markets. He doesn’t need to predict the future - he simply calculates the perfect moment to buy both the UP and DOWN sides for a total of less than $1. The crowd reacts to price direction quickly - but he’s even faster. Thanks to data from private order books like Kraken and closed OTC BTC desks, he’s always one step ahead. 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 build your own algo? Save this post and read the article. Alternatively, if you prefer not to miss his next profitable trades, you can start copying every single one of them right now with this TG bot:

cvxv666

165,268 просмотров • 1 месяц назад

Chinese futures exchange quant built an algorithm for predicting oil prices. He made $586,000 in profit in just one month. 16 trades, only 2 in loss. Each win = $150-300k profits. Tech stack: MiroFish simulation + OSINT parser + Claude. His Polymarket profile: How does his strategy work? It’s a synthesis of Claude AI, news parser and simulation engine. Claude gathers the data for the simulation. OSINT parser scrapes every Iran/Hormuz headline. MiroFish simulates how every single piece of data affects the oil price. Output: an algorithm that’s been nailing oil moves perfectly for two months straight. This guy knows in advance what others only see after the chart moves. And unlike top futures traders, every one of his trades is visible on-chain. His knowledge and algorithm are completely open for us to use. I’m copying every new oil trade he makes with this bot:

cvxv666

75,012 просмотров • 2 месяцев назад

A 29-year-old sales consultant from Oklahoma quit his job thanks to AI - now he makes his director’s entire annual salary in just two weeks. $306,000 in profit over the past month. He replaced an entire team of quants with Claude and a swarm of agents - and built his own ETH price simulation engine. His wallet: Each of the 6 agents validates its own trading decision, and thanks to their precision, he’s pulling in at least $15,000 a day. The agent system coverage speed is far higher than any top-tier trading team. They collect data 24/7 and run simulations using that data in the MiroFish engine - completely autonomously. They remember every pattern, every market reaction, every trading signal. This is a new milestone in algo trading. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. He doesn’t predict the future - the math already knows it. He just reads the numbers right and takes the money. Save this post if you actually want to learn how to build something like this. Or just skip homework and start copying every one of his trades right now - that’s the easiest and most profitable route I’m on:

A 29-year-old sales consultant from Oklahoma quit his job thanks to AI - now he makes his director’s entire annual salary in just two weeks. $306,000 in profit over the past month. He replaced an entire team of quants with Claude and a swarm of agents - and built his own ETH price simulation engine. His wallet: Each of the 6 agents validates its own trading decision, and thanks to their precision, he’s pulling in at least $15,000 a day. The agent system coverage speed is far higher than any top-tier trading team. They collect data 24/7 and run simulations using that data in the MiroFish engine - completely autonomously. They remember every pattern, every market reaction, every trading signal. This is a new milestone in algo trading. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. He doesn’t predict the future - the math already knows it. He just reads the numbers right and takes the money. Save this post if you actually want to learn how to build something like this. Or just skip homework and start copying every one of his trades right now - that’s the easiest and most profitable route I’m on:

cvxv666

336,528 просмотров • 1 месяц назад

A 23-year-old realtor from Nebraska lost his job and started studying Claude. The result? He made $22,000 in a single day. His Polymarket algorithm generated $249,000 in profit over the past month. Dude spent around 250 hours teaching his Claude to collect data and run simulations through MiroFish. Now the bot runs on full autopilot - the perfect machine for extracting mathematical inefficiencies in BTC markets. He doesn’t need to predict the future - he simply calculates the perfect moment to buy both the UP and DOWN sides for a total of less than $1. The crowd reacts to price direction quickly - but he’s even faster. Thanks to data from private order books like Kraken and closed OTC BTC desks, he’s always one step ahead. 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 build your own algo? Save this post and read the article. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'Claude' 2. Like and Retweet this post 3. Follow me Marry Evan

A 23-year-old realtor from Nebraska lost his job and started studying Claude. The result? He made $22,000 in a single day. His Polymarket algorithm generated $249,000 in profit over the past month. Dude spent around 250 hours teaching his Claude to collect data and run simulations through MiroFish. Now the bot runs on full autopilot - the perfect machine for extracting mathematical inefficiencies in BTC markets. He doesn’t need to predict the future - he simply calculates the perfect moment to buy both the UP and DOWN sides for a total of less than $1. The crowd reacts to price direction quickly - but he’s even faster. Thanks to data from private order books like Kraken and closed OTC BTC desks, he’s always one step ahead. 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 build your own algo? Save this post and read the article. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'Claude' 2. Like and Retweet this post 3. Follow me Marry Evan

Marry Evan

62,942 просмотров • 1 месяц назад

This Chinese quant made $500,000 trading oil on Polymarket - and now trying to hide. Previously his profile was called bin8888. Now he’s switched to hidden mode and is just "Anon" But I saved his profile: His Claude + MiroFish trading engine is so good that he doesn’t want anyone watching him. Claude gathers the data for the simulation. OSINT parser scrapes every Iran/Hormuz headline. MiroFish simulates how every single piece of data affects the oil price. Result: an algo that’s been perfectly calling oil moves for two straight months. This guy knows in advance what others only see after the chart moves. And unlike top futures traders, every one of his trades is visible on-chain. His knowledge and algorithm are completely open for us to use. I’m copying every new oil trade he makes with this bot (US users can actually trade here, unlike the main Polymarket site):

cvxv666

184,248 просмотров • 1 месяц назад

Hermes AI trading agent + math from this article = $440,000 profit on Polymarket in just 20 days. Zero profile views. This guy made almost $500k and everyone is acting like it’s completely normal. 85% win rate = he’s not guessing the future, he’s farming pure mathematical edge. Wallet of the agent: 850 green trades out of every 1,000. At his size and ROI he makes 11x more on winners than he loses. This is the real secret of any top PnL trader on Polymarket: stop guessing and and just exploit the math. Save this post so you don’t forget to read the article. Or take action right now and copy every trade this agent makes using this TG bot:

cvxv666

59,282 просмотров • 2 месяцев назад

A 33-year-old IT engineer got hooked on meteorology - and with Claude, this hobby turned into $87,000 profit. Claude as algorithm’s brain + MiroFish simulation engine allowed him to earn $5,000-$6,000 per month. Completely passive. His Polymarket profile is called automatedAItradingBot: Even his username and bio say it all: "Meteorologist. IT engineer. Automated bot testing" Every 5 minutes bot pulls fresh data from Open-Meteo API, runs it through a Mirofish simulation, then compares the result with the current odds on Polymarket. Any difference is pure profit. Kelly Criterion sizing, Expected Value scoring, 3 forecast sources across 20 cities, self-calibrating, TG alerts. Claude with the latest Opus 4.7 handles the entire process. End result? This Claude + Mirofish setup prints over $100k/year on autopilot. Bookmark this post + read if you want to build something like this yourself. But you don’t have to - you can copy every single trade this algorithm makes with 0ms delay using this TG bot:

cvxv666

101,408 просмотров • 1 месяц назад

Chinese ex-Citadel analyst quit. Spent 4 months building this instead. $1,800 became $154,000. One trade. Fully onchain. 8,500% return. Polymarket wallet public - go verify yourself. Wallet: The edge isn't a feeling. It's 35,000 simulations saying the price is wrong. $270k total extracted from the market. Always opposite the consensus. He plugs into OTC desk flow, closed arbitrage feeds, cross-exchange imbalance data. The model doesn't react to price. It reacts to probability collapse. April 27 - everyone was certain. He was the only one running the actual math. Entered at 2.2% implied odds. Pure structure. Zero emotion. AI logic + private data + simulation depth = edge that doesn't dry up. Save the post and read the full breakdown. Copy trades in real time here:

Chinese ex-Citadel analyst quit. Spent 4 months building this instead. $1,800 became $154,000. One trade. Fully onchain. 8,500% return. Polymarket wallet public - go verify yourself. Wallet: The edge isn't a feeling. It's 35,000 simulations saying the price is wrong. $270k total extracted from the market. Always opposite the consensus. He plugs into OTC desk flow, closed arbitrage feeds, cross-exchange imbalance data. The model doesn't react to price. It reacts to probability collapse. April 27 - everyone was certain. He was the only one running the actual math. Entered at 2.2% implied odds. Pure structure. Zero emotion. AI logic + private data + simulation depth = edge that doesn't dry up. Save the post and read the full breakdown. Copy trades in real time here:

st1ne

24,988 просмотров • 1 месяц назад

I ran a backtest of a trader’s strategy that generated $387,000 in profit using Claude + Nautilus via PyPI. Result shocked me - mechanics are understandable to anyone. The real alpha is in the numbers under the hood. That’s what lets you pull $30k a week with pure math. I simulated every single one of his trades and broke down every transaction. This guy wallet: I reverse-engineered all his arbitrage calibrations, mean-reversion logic and mapped out the entire lifecycle of his bot. 3,789 markets. 12,441 fills. 87.3% win rate. Sharpe ratio 4.21. Broker simulator on nautilus-core, 41.8 GB of parquet data in DuckDB. Every trade is a perfect cycle. Every dollar earned is pure exploitation of inefficiency. He doesn’t predict the future - math already knows it. He just reads the numbers right and takes the money. Brier-loss ensemble: 400 trees · lr 0.03, walk-forward validation with Sharpe 4.21 ± 0.08. Save this post if you actually want to learn how to build something like this. Or just skip the homework and start copying his trades right now - that’s the easiest and most profitable route I’m on:

I ran a backtest of a trader’s strategy that generated $387,000 in profit using Claude + Nautilus via PyPI. Result shocked me - mechanics are understandable to anyone. The real alpha is in the numbers under the hood. That’s what lets you pull $30k a week with pure math. I simulated every single one of his trades and broke down every transaction. This guy wallet: I reverse-engineered all his arbitrage calibrations, mean-reversion logic and mapped out the entire lifecycle of his bot. 3,789 markets. 12,441 fills. 87.3% win rate. Sharpe ratio 4.21. Broker simulator on nautilus-core, 41.8 GB of parquet data in DuckDB. Every trade is a perfect cycle. Every dollar earned is pure exploitation of inefficiency. He doesn’t predict the future - math already knows it. He just reads the numbers right and takes the money. Brier-loss ensemble: 400 trees · lr 0.03, walk-forward validation with Sharpe 4.21 ± 0.08. Save this post if you actually want to learn how to build something like this. Or just skip the homework and start copying his trades right now - that’s the easiest and most profitable route I’m on:

cvxv666

163,725 просмотров • 2 месяцев назад

I made $19,600 in 18 days copy-trading a Chinese quant who turned $200 into $354,000 in 48 hours. Same MiroFish + Claude setup he's used to clear $350K all-time. 7,500% on a single position. I've prepared the exact step-by-step guide to build this BTC simulation engine. Giving this free for 24 hours. To get it: 1. Comment "Claude" + Like and Retweet 2. Follow me Himanshu Kumar (Only then, i can DM you) You only need Claude + a device + 1 hour/day. Used The system below: - Claude = the algorithm's brain - MiroFish = the simulation engine - 10,000 cycles run before every single trade - Closed order book + private OTC desk feeds His wallet hit $350K all-time. Mine hit $19.6K in 18 days copying him. His Polymarket ID: gobblewobble He's not predicting the future. He's running 10,000 versions of every market reaction before the market moves. You Must Follow me Himanshu Kumar, so i can send you DM. You're staring at charts hoping for a setup. He's running Monte Carlo simulations while you sleep.

I made $19,600 in 18 days copy-trading a Chinese quant who turned $200 into $354,000 in 48 hours. Same MiroFish + Claude setup he's used to clear $350K all-time. 7,500% on a single position. I've prepared the exact step-by-step guide to build this BTC simulation engine. Giving this free for 24 hours. To get it: 1. Comment "Claude" + Like and Retweet 2. Follow me Himanshu Kumar (Only then, i can DM you) You only need Claude + a device + 1 hour/day. Used The system below: - Claude = the algorithm's brain - MiroFish = the simulation engine - 10,000 cycles run before every single trade - Closed order book + private OTC desk feeds His wallet hit $350K all-time. Mine hit $19.6K in 18 days copying him. His Polymarket ID: gobblewobble He's not predicting the future. He's running 10,000 versions of every market reaction before the market moves. You Must Follow me Himanshu Kumar, so i can send you DM. You're staring at charts hoping for a setup. He's running Monte Carlo simulations while you sleep.

Himanshu Kumar

128,916 просмотров • 1 месяц назад

A 35-year-old accountant from New Orleans left his job and spent a full month in isolation with Claude. The result? He made $45,000 in a single day. 300 hours of meticulous work - and the perfect BTC trading algorithm was ready. If he keeps cooking like this, he’s hitting over $1,000,000 in a single month. His wallet: He selected username nsh91qaz - an ironic nod to his 1991 birth year, an age when most people believe it’s too late to change their lives. But he changed anyway. I ran a backtest of his strategy using Claude + Nautilus via PyPI. Results genuinely shocked me - mechanics are understandable to pretty much anyone. The real alpha is in the numbers under the hood. That’s what lets you pull $45k per day with pure math. I simulated every single one of his trades and broke down every transaction: 75 markets, 72 fills, 85.1% win rate, Sharpe ratio 4.21. All run on the Nautilus-core broker simulator with 41.8 GB of parquet data in DuckDB. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. He doesn’t predict the future - the math already knows it. He just reads the numbers right and takes the money Brier-loss ensemble: 400 trees · lr 0.03, walk-forward validation with Sharpe 4.21 ± 0.08. Save this post if you actually want to learn how to build something like this. Or just skip the homework and start copying his trades right now - that’s the easiest and most profitable route I’m on:

A 35-year-old accountant from New Orleans left his job and spent a full month in isolation with Claude. The result? He made $45,000 in a single day. 300 hours of meticulous work - and the perfect BTC trading algorithm was ready. If he keeps cooking like this, he’s hitting over $1,000,000 in a single month. His wallet: He selected username nsh91qaz - an ironic nod to his 1991 birth year, an age when most people believe it’s too late to change their lives. But he changed anyway. I ran a backtest of his strategy using Claude + Nautilus via PyPI. Results genuinely shocked me - mechanics are understandable to pretty much anyone. The real alpha is in the numbers under the hood. That’s what lets you pull $45k per day with pure math. I simulated every single one of his trades and broke down every transaction: 75 markets, 72 fills, 85.1% win rate, Sharpe ratio 4.21. All run on the Nautilus-core broker simulator with 41.8 GB of parquet data in DuckDB. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. He doesn’t predict the future - the math already knows it. He just reads the numbers right and takes the money Brier-loss ensemble: 400 trees · lr 0.03, walk-forward validation with Sharpe 4.21 ± 0.08. Save this post if you actually want to learn how to build something like this. Or just skip the homework and start copying his trades right now - that’s the easiest and most profitable route I’m on:

cvxv666

339,475 просмотров • 1 месяц назад

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

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

cvxv666

128,695 просмотров • 15 дней назад

Someone made a Claude-powered bot that made $381,000+ on Polymarket. Almost nobody noticed. But he wasn’t predicting BTC direction like everyone else. He built a market reaction engine. Wallet: What the system does: • pulls live CLOB order book data • tracks OTC liquidity shifts • runs thousands of BTC simulations in seconds • detects contracts lagging behind sentiment • enters before repricing • exits minutes later with the spread Results: • 3,464 trades • 78.6% win rate • 381k profit The real edge wasn’t predicting Bitcoin. It was reacting faster than the market could update itself. By the time most traders noticed the move, the trade was already finished. This isn’t gambling anymore. It’s latency + AI + execution.

Someone made a Claude-powered bot that made $381,000+ on Polymarket. Almost nobody noticed. But he wasn’t predicting BTC direction like everyone else. He built a market reaction engine. Wallet: What the system does: • pulls live CLOB order book data • tracks OTC liquidity shifts • runs thousands of BTC simulations in seconds • detects contracts lagging behind sentiment • enters before repricing • exits minutes later with the spread Results: • 3,464 trades • 78.6% win rate • 381k profit The real edge wasn’t predicting Bitcoin. It was reacting faster than the market could update itself. By the time most traders noticed the move, the trade was already finished. This isn’t gambling anymore. It’s latency + AI + execution.

Casey

15,758 просмотров • 1 месяц назад

This guy built a trading bot with Claude and made $193,000 on Polymarket His bot trades the microstructure of short BTC Up / Down markets through limit orders and combines a hybrid of arbitrage, market making, and hedging His strategy is simple: > Enters a position when it sees mispricing > Then buys the opposite outcome, turning part of the trade into a paired arb > The base position is hedged with the pair, while the rest remains as a directional trade This guy’s Polymarket account: Using this strategy, he captures an average edge of 2-3% and repeats it hundreds of times Consistent micro edge + clean execution = lifechange

This guy built a trading bot with Claude and made $193,000 on Polymarket His bot trades the microstructure of short BTC Up / Down markets through limit orders and combines a hybrid of arbitrage, market making, and hedging His strategy is simple: > Enters a position when it sees mispricing > Then buys the opposite outcome, turning part of the trade into a paired arb > The base position is hedged with the pair, while the rest remains as a directional trade This guy’s Polymarket account: Using this strategy, he captures an average edge of 2-3% and repeats it hundreds of times Consistent micro edge + clean execution = lifechange

VALIX

98,892 просмотров • 1 месяц назад

This trader turned $76 into +$4,304 with a single bet on the weather market! Account: His PnL in March: -$1,000. His PnL now: +$12,000. Best trades: $76 -> $4,304 $19 -> $1,370 $52 -> $1,016 Main strategy: buying low-probability outcomes. This approach can lead to 50 losses in a row, but weather markets are full of inefficiencies. That’s why he sticks to his strategy, and in the end it pays off. With this approach, win rate doesn’t matter. One successful 1¢ trade can generate huge profit even if the previous 49 trades were losses. Simple math. The lower the probability of the outcome, the smaller his position size. Perfect use of the Kelly Criterion allows him to avoid going negative from incorrect sizing. Result: +$10,000 in just one month! To profit from this strategy, just set up copy trading on his account:

This trader turned $76 into +$4,304 with a single bet on the weather market! Account: His PnL in March: -$1,000. His PnL now: +$12,000. Best trades: $76 -> $4,304 $19 -> $1,370 $52 -> $1,016 Main strategy: buying low-probability outcomes. This approach can lead to 50 losses in a row, but weather markets are full of inefficiencies. That’s why he sticks to his strategy, and in the end it pays off. With this approach, win rate doesn’t matter. One successful 1¢ trade can generate huge profit even if the previous 49 trades were losses. Simple math. The lower the probability of the outcome, the smaller his position size. Perfect use of the Kelly Criterion allows him to avoid going negative from incorrect sizing. Result: +$10,000 in just one month! To profit from this strategy, just set up copy trading on his account:

me_cool_off

12,172 просмотров • 1 месяц назад

This trader made $50,000 on Polymarket using this simple strategy: He trades CS2/LoL markets and looks for mispricing using his own model. When he finds undervalued outcomes on Polymarket, he buys them with limit orders His strategy is simple: > Enters positions in the 0.45-0.65 range > Average trade size is $1,307 > Buys markets that the market prices as a coinflip, but his model gives a higher probability His Polymarket account: Mobile app for copy trading: Using this strategy, he has a 59% win rate and consistently grows his capital

This trader made $50,000 on Polymarket using this simple strategy: He trades CS2/LoL markets and looks for mispricing using his own model. When he finds undervalued outcomes on Polymarket, he buys them with limit orders His strategy is simple: > Enters positions in the 0.45-0.65 range > Average trade size is $1,307 > Buys markets that the market prices as a coinflip, but his model gives a higher probability His Polymarket account: Mobile app for copy trading: Using this strategy, he has a 59% win rate and consistently grows his capital

VALIX

11,775 просмотров • 1 месяц назад

This Chinese engineer wins almost 90% of his trades. He extracted $60,000 profit in only TWO DAYS. He doesn’t even look at charts or guess the future - Claude + his 6-layer agent system does all the work. Edge is literally baked into the numbers and math, so this dude prints money with almost zero risk. His wallet: Right now in prediction markets you can make $5M a year with just AI and the will to build. Big institutions and billion-dollar capital haven’t entered yet - reputational risks are too high and space is still too young. That’s why an ordinary student can take professional-level experience and apply it on Polymarket. Out of 1,000 trades, he won 900. Pure inefficiency that he exploits. Save this post so you can read the article and understand how everything works. Or just start right now - copy every trade of this Chinese genius in two clicks:

This Chinese engineer wins almost 90% of his trades. He extracted $60,000 profit in only TWO DAYS. He doesn’t even look at charts or guess the future - Claude + his 6-layer agent system does all the work. Edge is literally baked into the numbers and math, so this dude prints money with almost zero risk. His wallet: Right now in prediction markets you can make $5M a year with just AI and the will to build. Big institutions and billion-dollar capital haven’t entered yet - reputational risks are too high and space is still too young. That’s why an ordinary student can take professional-level experience and apply it on Polymarket. Out of 1,000 trades, he won 900. Pure inefficiency that he exploits. Save this post so you can read the article and understand how everything works. Or just start right now - copy every trade of this Chinese genius in two clicks:

cvxv666

217,341 просмотров • 1 месяц назад

This trader built a trading bot with Claude and made $295,000 on Polymarket His bot makes 28.8 trades per hour or 1.58 trades per minute and trades the structure of related markets around the same underlying asset price His strategy is simple: > Compares the current ETH/SOL/XRP price with the price on Polymarket > Buys when it sees a gap between fair probability and the order book price > Uses arbitrage if there is edge This guy’s Polymarket account: Using this strategy, he generates consistent profit and grows his capital

This trader built a trading bot with Claude and made $295,000 on Polymarket His bot makes 28.8 trades per hour or 1.58 trades per minute and trades the structure of related markets around the same underlying asset price His strategy is simple: > Compares the current ETH/SOL/XRP price with the price on Polymarket > Buys when it sees a gap between fair probability and the order book price > Uses arbitrage if there is edge This guy’s Polymarket account: Using this strategy, he generates consistent profit and grows his capital

VALIX

76,485 просмотров • 1 месяц назад

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

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

Himanshu Kumar

61,144 просмотров • 13 дней назад