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Just built a bot that first runs hyper-realistic MiroFish swarm simulations on every upcoming Bitcoin and crypto event. And then agent instantly trades the real live markets on Polymarket, already printing $12,000+ per day in testing. Couldn't hold back after diving into MiroFish. Took the new god-tier agent behavior...

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slash1s

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114,880 görüntüleme • 6 ay önce •via X (Twitter)

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How MiroFish helped me make $669/day on Polymarket One week ago I plugged a swarm intelligence engine into my Polymarket bot. It simulates 2,847 digital humans before every trade. The bot watches how they behave, then bets against the real crowd. 338 trades. $4,266 profit. One position returned 1,655% in five minutes. The engine is called MiroFish. It doesn't predict price. It predicts how people will react and on a prediction market, that's the only thing that matters. I feed it market context. It builds a parallel world. Thousands of AI agents argue, form groups, shift opinions. When their consensus diverges from what Polymarket is pricing, the bot enters. 5-minute windows. BTC, ETH, SOL, XRP. I've been running the bot live on What MiroFish actually is: > Built in 10 days by a 20-year-old undergraduate in Beijing using vibe coding > Hit #1 on GitHub's global trending above OpenAI, Google, and Microsoft > Backed by Chen Tianqiao, former richest man in China, who committed $4.1M within 24 hours of seeing one demo > Runs on OASIS by CAMEL-AI with GraphRAG knowledge graphs and Zep Cloud memory The edge is simple. Polymarket is a crowd behavior market. MiroFish is a crowd behavior simulator. Nobody is connecting the two yet.
0:40

How MiroFish helped me make $669/day on Polymarket One week ago I plugged a swarm intelligence engine into my Polymarket bot. It simulates 2,847 digital humans before every trade. The bot watches how they behave, then bets against the real crowd. 338 trades. $4,266 profit. One position returned 1,655% in five minutes. The engine is called MiroFish. It doesn't predict price. It predicts how people will react and on a prediction market, that's the only thing that matters. I feed it market context. It builds a parallel world. Thousands of AI agents argue, form groups, shift opinions. When their consensus diverges from what Polymarket is pricing, the bot enters. 5-minute windows. BTC, ETH, SOL, XRP. I've been running the bot live on What MiroFish actually is: > Built in 10 days by a 20-year-old undergraduate in Beijing using vibe coding > Hit #1 on GitHub's global trending above OpenAI, Google, and Microsoft > Backed by Chen Tianqiao, former richest man in China, who committed $4.1M within 24 hours of seeing one demo > Runs on OASIS by CAMEL-AI with GraphRAG knowledge graphs and Zep Cloud memory The edge is simple. Polymarket is a crowd behavior market. MiroFish is a crowd behavior simulator. Nobody is connecting the two yet.

BuBBliK

125,310 görüntüleme • 6 ay önce

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

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

cvxv666

282,748 görüntüleme • 5 ay önce

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

203,852 görüntüleme • 5 ay önce

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

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

cvxv666

132,166 görüntüleme • 3 ay önce

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):
0:56

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

83,208 görüntüleme • 4 ay önce

While the world doomscrolls 15-second TikToks and loses its attention span.. YOU SHOULD CHECK OUT THIS NEW REPO A Chinese college kid built MiroFish in just 10 days, scored $4M funding and ByteDance just dropped the upgrade that turns it into a prediction monster. Fourth-year student Guo Hanjiang vibe coded MiroFish: thousands of autonomous AI agents simulating entire societies in real time. See the details in the post below. Feed it any news, report, or historical data - watch markets, crowds, and politics react exactly as they would. GitHub went nuclear, he scored $4M funding from Shanda Group, and Polymarket traders are already printing +$120k+ using his SPX and event simulations. But long runs had one fatal flaw: agents got amnesia, hallucinations, and context overload. Classic RAG garbage. Now the same company behind TikTok (via VolcEngine) just open-sourced the fix: OpenViking - already at 11.6k+ stars on GitHub. Repo: It turns chaotic memory into a clean, structured filesystem: -> viking://user/memories/ (your habits + past outcomes) -> viking://agent/skills/ (trading and analysis superpowers) Smart 3-layer hierarchy: .L0 - 100-token ultra-summary .L1 - quick overview .L2 - full details (opened only when needed) Agents browse folders intelligently instead of dumping everything. Result: > No more forgetting crucial facts from the start of a simulation > Way fewer hallucinations > Massive API token savings > Self-updating memory - agents get smarter after every run MiroFish + OpenViking = absolute nuclear edge for Polymarket and event prediction. I will use it for my private bot. Thousands of agents now run with perfect long-term memory, stay sharp for 100+ steps, and deliver hyper-accurate probabilities. This combo is about to change the game for anyone trading predictions. The irony is insane: the company that killed human attention with short videos just gave AI agents eternal, structured, self-evolving memory. Who’s already running this combo on Polymarket? Save this. The real alpha just dropped.
0:59

While the world doomscrolls 15-second TikToks and loses its attention span.. YOU SHOULD CHECK OUT THIS NEW REPO A Chinese college kid built MiroFish in just 10 days, scored $4M funding and ByteDance just dropped the upgrade that turns it into a prediction monster. Fourth-year student Guo Hanjiang vibe coded MiroFish: thousands of autonomous AI agents simulating entire societies in real time. See the details in the post below. Feed it any news, report, or historical data - watch markets, crowds, and politics react exactly as they would. GitHub went nuclear, he scored $4M funding from Shanda Group, and Polymarket traders are already printing +$120k+ using his SPX and event simulations. But long runs had one fatal flaw: agents got amnesia, hallucinations, and context overload. Classic RAG garbage. Now the same company behind TikTok (via VolcEngine) just open-sourced the fix: OpenViking - already at 11.6k+ stars on GitHub. Repo: It turns chaotic memory into a clean, structured filesystem: -> viking://user/memories/ (your habits + past outcomes) -> viking://agent/skills/ (trading and analysis superpowers) Smart 3-layer hierarchy: .L0 - 100-token ultra-summary .L1 - quick overview .L2 - full details (opened only when needed) Agents browse folders intelligently instead of dumping everything. Result: > No more forgetting crucial facts from the start of a simulation > Way fewer hallucinations > Massive API token savings > Self-updating memory - agents get smarter after every run MiroFish + OpenViking = absolute nuclear edge for Polymarket and event prediction. I will use it for my private bot. Thousands of agents now run with perfect long-term memory, stay sharp for 100+ steps, and deliver hyper-accurate probabilities. This combo is about to change the game for anyone trading predictions. The irony is insane: the company that killed human attention with short videos just gave AI agents eternal, structured, self-evolving memory. Who’s already running this combo on Polymarket? Save this. The real alpha just dropped.

slash1s

293,591 görüntüleme • 6 ay önce

Somewhere in Amsterdam in a small office sit 3 people quant. HFT engineer. risk manager. for years they ran bots on Binance and Bybit but it's a bloodbath there thousands of teams just like them then one of them opened Polymarket and saw that regular people bet on 15-min Bitcoin markets based on vibes they created a wallet deposited $10k ran the bot on micro-volume collecting logs, fixing bugs, testing the model when they knew they were ready poured in $200k bot started doing 618 trades per day first came a $20k drawdown then every day +$30-50k bot is connected to Binance and ChainLink via WebSocket sees BTC move in milliseconds and reacts before Polymarket 17 days later $588,925 profit copying trades through PolyCop
0:20

Somewhere in Amsterdam in a small office sit 3 people quant. HFT engineer. risk manager. for years they ran bots on Binance and Bybit but it's a bloodbath there thousands of teams just like them then one of them opened Polymarket and saw that regular people bet on 15-min Bitcoin markets based on vibes they created a wallet deposited $10k ran the bot on micro-volume collecting logs, fixing bugs, testing the model when they knew they were ready poured in $200k bot started doing 618 trades per day first came a $20k drawdown then every day +$30-50k bot is connected to Binance and ChainLink via WebSocket sees BTC move in milliseconds and reacts before Polymarket 17 days later $588,925 profit copying trades through PolyCop

Archive

21,139 görüntüleme • 7 ay önce

A 29-year-old sales consultant from China quit his job and now makes in 2 weeks what his boss earns all year. $306,000 profit last month. He replaced an entire quant team with Claude and 6 AI agents. Built his own ETH price simulation engine. Generating $15,000+ per day on autopilot. I reverse-engineered his system. One Claude prompt. 90 minutes. Fully autonomous. Giving this free for 24 hours. To get it: 1. Comment 'AGENT' 2. Like and retweet this 3. Follow Marry Evan so I can DM you His wallet: 0x06dc51826bc524d9a83770e7de9dd7e005b0452 on Polymarket. Almost nobody is watching. What the 6-agent swarm actually does: → Each agent validates its own trading decisions independently → Collects data 24/7 across markets → Runs continuous ETH price simulations in MiroFish engine → Memorizes every pattern, market reaction, trading signal → Detects market inefficiencies in real-time → Executes when edge appears → No human input required Not prediction. Pure math exploiting market lag. The coverage and speed beat top-tier trading teams. Every trade is a perfect cycle. Every dollar is extracted from pricing gaps that disappear in seconds. The system does not guess the future. It reads the numbers correctly and takes the money before markets reprice. The edge exists right now. It won't in 6 months when everyone runs similar systems. You only need: Claude + a device + 1 hour to deploy. Save this post. Build the agent swarm this week. Start with $100. Scale on evidence.
0:25

A 29-year-old sales consultant from China quit his job and now makes in 2 weeks what his boss earns all year. $306,000 profit last month. He replaced an entire quant team with Claude and 6 AI agents. Built his own ETH price simulation engine. Generating $15,000+ per day on autopilot. I reverse-engineered his system. One Claude prompt. 90 minutes. Fully autonomous. Giving this free for 24 hours. To get it: 1. Comment 'AGENT' 2. Like and retweet this 3. Follow Marry Evan so I can DM you His wallet: 0x06dc51826bc524d9a83770e7de9dd7e005b0452 on Polymarket. Almost nobody is watching. What the 6-agent swarm actually does: → Each agent validates its own trading decisions independently → Collects data 24/7 across markets → Runs continuous ETH price simulations in MiroFish engine → Memorizes every pattern, market reaction, trading signal → Detects market inefficiencies in real-time → Executes when edge appears → No human input required Not prediction. Pure math exploiting market lag. The coverage and speed beat top-tier trading teams. Every trade is a perfect cycle. Every dollar is extracted from pricing gaps that disappear in seconds. The system does not guess the future. It reads the numbers correctly and takes the money before markets reprice. The edge exists right now. It won't in 6 months when everyone runs similar systems. You only need: Claude + a device + 1 hour to deploy. Save this post. Build the agent swarm this week. Start with $100. Scale on evidence.

Marry Evan

19,080 görüntüleme • 4 ay önce

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.
0:37

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 görüntüleme • 4 ay önce

A 29-year-old sales consultant from China quit his job. Now making 2 weeks what his boss earns all year. $306,000 profit last month. He replaced an entire quant team with Claude and 6 AI agents. Built his own ETH price simulation engine. Generating $15,000+ per day on autopilot. I reverse-engineered his system. One Claude prompt. 90 minutes. Fully autonomous. Giving this free for 24 hours. To get it: 1. Comment AGENT 2. Like and retweet this 3. Follow Himanshu Kumar so I can DM you His wallet: 0x06dc51826bc524d9a83770e7de9dd7e005b0452 on Polymarket. Almost nobody is watching. What the 6-agent swarm actually does: → Each agent validates its own trading decisions independently → Collects data 24/7 across markets → Runs continuous ETH price simulations in MiroFish engine → Memorizes every pattern, market reaction, trading signal → Detects market inefficiencies in real-time → Executes when edge appears → No human input required Not prediction. Pure math exploiting market lag. The coverage and speed beat top-tier trading teams. Every trade is a perfect cycle. Every dollar is extracted from pricing gaps that disappear in seconds. The system does not guess the future. It reads the numbers correctly and takes the money before markets reprice. The edge exists right now. It won't in 6 months when everyone runs similar systems. You only need: Claude + a device + 1 hour to deploy. Save this post. Build the agent swarm this week. Start with $100. Scale on evidence.
0:25

A 29-year-old sales consultant from China quit his job. Now making 2 weeks what his boss earns all year. $306,000 profit last month. He replaced an entire quant team with Claude and 6 AI agents. Built his own ETH price simulation engine. Generating $15,000+ per day on autopilot. I reverse-engineered his system. One Claude prompt. 90 minutes. Fully autonomous. Giving this free for 24 hours. To get it: 1. Comment AGENT 2. Like and retweet this 3. Follow Himanshu Kumar so I can DM you His wallet: 0x06dc51826bc524d9a83770e7de9dd7e005b0452 on Polymarket. Almost nobody is watching. What the 6-agent swarm actually does: → Each agent validates its own trading decisions independently → Collects data 24/7 across markets → Runs continuous ETH price simulations in MiroFish engine → Memorizes every pattern, market reaction, trading signal → Detects market inefficiencies in real-time → Executes when edge appears → No human input required Not prediction. Pure math exploiting market lag. The coverage and speed beat top-tier trading teams. Every trade is a perfect cycle. Every dollar is extracted from pricing gaps that disappear in seconds. The system does not guess the future. It reads the numbers correctly and takes the money before markets reprice. The edge exists right now. It won't in 6 months when everyone runs similar systems. You only need: Claude + a device + 1 hour to deploy. Save this post. Build the agent swarm this week. Start with $100. Scale on evidence.

Himanshu Kumar

12,383 görüntüleme • 4 ay önce

This guy built an HFT bot on Polymarket with an average trade size of $8 Result: +$243,619 His bot trades 5- and 15-minute crypto Up/Down markets using a directional latency strategy with fast position switching: 1. It looks for latency between external crypto markets and Polymarket It gets the underlying price from external sources and tracks momentum, acceleration, order-flow imbalance, and distance from the starting price of the current window Based on this data, it constantly recalculates its own fair probability for Up and Down 2. It trades mispricing before Polymarket fully reprices If the external market has already moved, but the outcome price is still lagging, the algorithm sees an edge and starts building a position 3. It quickly changes direction and dynamically hedges the old position If the signal reverses, it can sell the old side or start accumulating the opposite outcome, constantly rebuilding its net exposure His Polymarket nickname: nj23adsknml3 You can build your own trading bot here: (A trial period will be available after registration) This guy’s edge is built on speed. The bot tries to detect changes in external market prices before they are fully reflected on Polymarket, then quickly rebuilds its position after every new signal It repeats this micro edge thousands of times and keeps growing its capital
0:30

This guy built an HFT bot on Polymarket with an average trade size of $8 Result: +$243,619 His bot trades 5- and 15-minute crypto Up/Down markets using a directional latency strategy with fast position switching: 1. It looks for latency between external crypto markets and Polymarket It gets the underlying price from external sources and tracks momentum, acceleration, order-flow imbalance, and distance from the starting price of the current window Based on this data, it constantly recalculates its own fair probability for Up and Down 2. It trades mispricing before Polymarket fully reprices If the external market has already moved, but the outcome price is still lagging, the algorithm sees an edge and starts building a position 3. It quickly changes direction and dynamically hedges the old position If the signal reverses, it can sell the old side or start accumulating the opposite outcome, constantly rebuilding its net exposure His Polymarket nickname: nj23adsknml3 You can build your own trading bot here: (A trial period will be available after registration) This guy’s edge is built on speed. The bot tries to detect changes in external market prices before they are fully reflected on Polymarket, then quickly rebuilds its position after every new signal It repeats this micro edge thousands of times and keeps growing its capital

VALIX

84,178 görüntüleme • 1 ay önce

This trader used Claude to build a Quant Bot and made +$125,724 on Polymarket 14,282 predictions in 96 days with a 52% win rate How is this account bringing in about $1,310 per day? The logic is simple: 1. It runs across short crypto “Up / Down” markets at roughly 6 trades per hour 2. The bot appears to keep recalculating which outcome offers the stronger opportunity instead of treating the opening position as final 3. It can take one side first and wait for the probabilities to move before introducing the opposite outcome, giving it a chance to hedge at a more favorable moment This trader’s Polymarket account: takerner Follow this account and trade on Polymarket through this bot: Most profitable trades: $1,085 → $2,370 (+$1,285 +118.4%) $828 → $2,100 (+$1,271 +153.5%) $534 → $1,750 (+$1,216 +227.5%) The account doesn’t need an extreme win rate to stay profitable. The advantage appears to come from repeatedly changing the position as probabilities move instead of relying on a single entry
0:25

This trader used Claude to build a Quant Bot and made +$125,724 on Polymarket 14,282 predictions in 96 days with a 52% win rate How is this account bringing in about $1,310 per day? The logic is simple: 1. It runs across short crypto “Up / Down” markets at roughly 6 trades per hour 2. The bot appears to keep recalculating which outcome offers the stronger opportunity instead of treating the opening position as final 3. It can take one side first and wait for the probabilities to move before introducing the opposite outcome, giving it a chance to hedge at a more favorable moment This trader’s Polymarket account: takerner Follow this account and trade on Polymarket through this bot: Most profitable trades: $1,085 → $2,370 (+$1,285 +118.4%) $828 → $2,100 (+$1,271 +153.5%) $534 → $1,750 (+$1,216 +227.5%) The account doesn’t need an extreme win rate to stay profitable. The advantage appears to come from repeatedly changing the position as probabilities move instead of relying on a single entry

Daniro

50,712 görüntüleme • 1 ay önce

This guy built a Quant Resolution model and it made $2,191 a day on Polymarket The result is already +$363,748 PnL in 166 days with only $38 per average trade, repeating the same setup 10 times every hour across BTC “Up or Down” markets Several AI agents can split the workflow between probability, sizing and execution: 1. The model measures how far BTC is from the reference price A simplified version looks like: z = (S - K) / (σ√T) Where: S = current BTC price K = reference price σ = volatility T = time left That z-score is converted into the probability of BTC finishing Up or Down 2. It trades the gap between model probability and Polymarket Model Up = 64% Market Up = 54¢ Edge = 10¢ If the gap is large enough, the system enters As the market catches up to the model estimate, the edge disappears This trader’s Polymarket account: powerwinner Follow this account and trade on Polymarket through this bot: 41,268 predictions with a 51% win rate Most profitable trades: $683 → $3,420 (+$2,737) $396 → $3,040 (+$2,644) $531 → $3,040 (+$2,509) A setup like this can be coordinated with Grok Bot, while external feeds provide live BTC data and execution
0:25

This guy built a Quant Resolution model and it made $2,191 a day on Polymarket The result is already +$363,748 PnL in 166 days with only $38 per average trade, repeating the same setup 10 times every hour across BTC “Up or Down” markets Several AI agents can split the workflow between probability, sizing and execution: 1. The model measures how far BTC is from the reference price A simplified version looks like: z = (S - K) / (σ√T) Where: S = current BTC price K = reference price σ = volatility T = time left That z-score is converted into the probability of BTC finishing Up or Down 2. It trades the gap between model probability and Polymarket Model Up = 64% Market Up = 54¢ Edge = 10¢ If the gap is large enough, the system enters As the market catches up to the model estimate, the edge disappears This trader’s Polymarket account: powerwinner Follow this account and trade on Polymarket through this bot: 41,268 predictions with a 51% win rate Most profitable trades: $683 → $3,420 (+$2,737) $396 → $3,040 (+$2,644) $531 → $3,040 (+$2,509) A setup like this can be coordinated with Grok Bot, while external feeds provide live BTC data and execution

Daniro

11,565 görüntüleme • 16 gün önce

This trader used Claude to build a Quant Bot and made +$212,121 on Polymarket 146,603 predictions in 267 days with a 42% win rate How is this account bringing in about $794 per day? The logic is simple: 1. It trades short crypto “Up / Down” markets at around 23 trades per hour 2. The bot enters markets in several steps instead of placing the entire position at once 3. It can take one outcome first, then wait for the probabilities to shift before adding the opposite side at a better moment 4. Part of the position can then become hedged, while the remaining shares stay exposed to the outcome the model still favors This trader’s Polymarket account: pspspsps5 Follow this account and trade on Polymarket through this bot: Most profitable trades: $372 → $1,650 (+$1,278 +344.1%) $24 → $1,207 (+$1,183 +4,899.9%) $403 → $1,393 (+$990 +245.8%) The real edge is in how aggressively the bot can reuse the same setup across thousands of short crypto windows without needing a high win rate
0:25

This trader used Claude to build a Quant Bot and made +$212,121 on Polymarket 146,603 predictions in 267 days with a 42% win rate How is this account bringing in about $794 per day? The logic is simple: 1. It trades short crypto “Up / Down” markets at around 23 trades per hour 2. The bot enters markets in several steps instead of placing the entire position at once 3. It can take one outcome first, then wait for the probabilities to shift before adding the opposite side at a better moment 4. Part of the position can then become hedged, while the remaining shares stay exposed to the outcome the model still favors This trader’s Polymarket account: pspspsps5 Follow this account and trade on Polymarket through this bot: Most profitable trades: $372 → $1,650 (+$1,278 +344.1%) $24 → $1,207 (+$1,183 +4,899.9%) $403 → $1,393 (+$990 +245.8%) The real edge is in how aggressively the bot can reuse the same setup across thousands of short crypto windows without needing a high win rate

Daniro

11,647 görüntüleme • 1 ay önce

someone leaked MiroFish's wallet address last night Op0jogggg - $1.48M profit in 4 months i copied it with OpenClaw and made $37K in 3 days this isn't another bot story MiroFish is the chinese AI that's been destroying polymarket since november betting on: - trump rallies - premier league - valorant tournaments - norwegian third division football nobody can be expert in all of this the machine analyzes terabytes in a second, finds arbitrage windows, places bets milliseconds before odds update found the wallet leak on a telegram channel at 4 AM gave my OpenClaw the address: "watch this wallet, copy every entry signal, execute 2 seconds after it does" day 1: bot copied 73 trades didn't understand why any of them made sense just pure mimicry $900 → $8,200 day 2: OpenClaw started finding the pattern: MiroFish doesn't bet on outcomes it bets on when polymarket will reprice whale moves USDC on-chain → 6 seconds later polymarket odds shift X sentiment explodes → 8 seconds later market updates MiroFish enters that 6-8 second gap $8,200 → $19,400 day 3: my bot stopped copying started predicting the same windows MiroFish hunts → blockchain USDC tracker → X sentiment API → orderbook depth scanner when all 3 spike = entry $19,400 → $37,200 here's what fucked me up: checked the logs this morning OpenClaw placed 14 trades before MiroFish entered the same markets it learned the pattern now it's front running the bot i was copying we're not trading anymore we're training AI to hunt other AI copytrade mirofish before this edge dies: this either prints forever or stops working tomorrow
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someone leaked MiroFish's wallet address last night Op0jogggg - $1.48M profit in 4 months i copied it with OpenClaw and made $37K in 3 days this isn't another bot story MiroFish is the chinese AI that's been destroying polymarket since november betting on: - trump rallies - premier league - valorant tournaments - norwegian third division football nobody can be expert in all of this the machine analyzes terabytes in a second, finds arbitrage windows, places bets milliseconds before odds update found the wallet leak on a telegram channel at 4 AM gave my OpenClaw the address: "watch this wallet, copy every entry signal, execute 2 seconds after it does" day 1: bot copied 73 trades didn't understand why any of them made sense just pure mimicry $900 → $8,200 day 2: OpenClaw started finding the pattern: MiroFish doesn't bet on outcomes it bets on when polymarket will reprice whale moves USDC on-chain → 6 seconds later polymarket odds shift X sentiment explodes → 8 seconds later market updates MiroFish enters that 6-8 second gap $8,200 → $19,400 day 3: my bot stopped copying started predicting the same windows MiroFish hunts → blockchain USDC tracker → X sentiment API → orderbook depth scanner when all 3 spike = entry $19,400 → $37,200 here's what fucked me up: checked the logs this morning OpenClaw placed 14 trades before MiroFish entered the same markets it learned the pattern now it's front running the bot i was copying we're not trading anymore we're training AI to hunt other AI copytrade mirofish before this edge dies: this either prints forever or stops working tomorrow

ZER

74,356 görüntüleme • 6 ay önce

Someone just posted the full blueprint for an AI swarm that does the job of a 200-person quant research team. Six agents. Running 24/7. Finding brand-new alpha while you sleep. Citadel needs 100 PhDs to do this. Two Sigma needs 200. This does it with six bots and one laptop. Two ways to play this - spend a weekend building your own swarm, or copy the wallet of one that's already up $2M: Boris Cherny runs Claude Code at Anthropic. Two weeks ago he said: "I don't prompt Claude anymore. I have loops running that prompt Claude. My job is to write loops" Alpha research is just a pipeline. So instead of sitting in it, you hand each stage to its own agent: > one reads every new research paper overnight and pulls out the trade idea > one builds the features and cleans the data > one backtests it over 20 years, costs and slippage included > one runs the hard stats and kills anything overfit > one checks it still works in every market regime > one strips out plain momentum and value to see if any real edge is left Each of those six is a job a fund pays a $600,000-a-year quant to do. He runs all six for the price of an API bill. The rule that makes it work: the agent that builds a signal never gets to approve it. A separate, stronger agent tries to kill it first. Whatever survives all six by morning is real, new alpha. One trader's already running this exact swarm on Polymarket. That $2M wallet is public, every trade on-chain. The full build is in the post below - six agents, the tool that runs them, and the five mistakes that kill most people. Bookmark & read this before it's buried.
0:41

Someone just posted the full blueprint for an AI swarm that does the job of a 200-person quant research team. Six agents. Running 24/7. Finding brand-new alpha while you sleep. Citadel needs 100 PhDs to do this. Two Sigma needs 200. This does it with six bots and one laptop. Two ways to play this - spend a weekend building your own swarm, or copy the wallet of one that's already up $2M: Boris Cherny runs Claude Code at Anthropic. Two weeks ago he said: "I don't prompt Claude anymore. I have loops running that prompt Claude. My job is to write loops" Alpha research is just a pipeline. So instead of sitting in it, you hand each stage to its own agent: > one reads every new research paper overnight and pulls out the trade idea > one builds the features and cleans the data > one backtests it over 20 years, costs and slippage included > one runs the hard stats and kills anything overfit > one checks it still works in every market regime > one strips out plain momentum and value to see if any real edge is left Each of those six is a job a fund pays a $600,000-a-year quant to do. He runs all six for the price of an API bill. The rule that makes it work: the agent that builds a signal never gets to approve it. A separate, stronger agent tries to kill it first. Whatever survives all six by morning is real, new alpha. One trader's already running this exact swarm on Polymarket. That $2M wallet is public, every trade on-chain. The full build is in the post below - six agents, the tool that runs them, and the five mistakes that kill most people. Bookmark & read this before it's buried.

cvxv666

104,237 görüntüleme • 2 ay önce

Another quiet Polymarket account just quietly turned $62 into $721,000. Almost nobody is talking about it. The trader’s profile is Careful. I reverse-engineered his exact strategy and asked Claude to build an identical bot using the same edge. One solid prompt + 50 minutes later and it was live. The opportunity is straightforward: Polymarket updates BTC contract prices slower than real market feeds. -> The bot pulls live BTC predictions from TradingView + CryptoQuant -> It instantly spots when Polymarket lags by more than 0.3% -> Executes in under 100 ms before the market corrects -> Handles 1,000+ orders per second and captures 0.3–0.8% per trade Risk is tightly controlled: 0.5% per trade with a strict 2% daily cap. It prints a clean $400–700 every single day. Runs 100% locally - no cloud, no GPU required. Written in Rust for maximum speed. Also john f pitha shows full stats for every trader - so you know exactly who you're following. Data first. Action second. Profile and copy-trading him: Save him.
0:23

Another quiet Polymarket account just quietly turned $62 into $721,000. Almost nobody is talking about it. The trader’s profile is Careful. I reverse-engineered his exact strategy and asked Claude to build an identical bot using the same edge. One solid prompt + 50 minutes later and it was live. The opportunity is straightforward: Polymarket updates BTC contract prices slower than real market feeds. -> The bot pulls live BTC predictions from TradingView + CryptoQuant -> It instantly spots when Polymarket lags by more than 0.3% -> Executes in under 100 ms before the market corrects -> Handles 1,000+ orders per second and captures 0.3–0.8% per trade Risk is tightly controlled: 0.5% per trade with a strict 2% daily cap. It prints a clean $400–700 every single day. Runs 100% locally - no cloud, no GPU required. Written in Rust for maximum speed. Also john f pitha shows full stats for every trader - so you know exactly who you're following. Data first. Action second. Profile and copy-trading him: Save him.

slash1s

154,301 görüntüleme • 6 ay önce

5 free GitHub bots for trading on Polymarket… 5 different strategies for 5 different trading situations. Each of these tools comes with a detailed step by step setup and usage guide in English: 1. This bot can automatically manage your limit orders to maximize liquidity rewards (useful for liquidity providers on Polymarket). GitHub: 2. The bot, which analyzes the real behavior of any Polymarket trader, finds repeated patterns in his trades, explains which strategies he uses and how you can actually adapt them to your own trading. GitHub: 3. A bot with 118+ ready to use strategies and tools for prediction markets, including Smart Money, Binance-Polymarket latency, Mean Reversion and more… The most interesting one is Polymarket - Kalshi Cross Arbitrage - it finds differences in prices between platforms and can manage trades automatically. GitHub: 4. A Chinese weather bot that analyzes multiple sources in real time, like forecasts, public airport data and aviation observations (METAR + SPECI) and then generates a detailed weather report for a specific city and day. GitHub: 5. This is a bot-toolkit that includes copy trading, arbitrage, market making, spread farming, whale alerts, sports trading and more… GitHub: Almost every tool here has a DRY RUN mode, so you can test them on real markets, but with fake funds.
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5 free GitHub bots for trading on Polymarket… 5 different strategies for 5 different trading situations. Each of these tools comes with a detailed step by step setup and usage guide in English: 1. This bot can automatically manage your limit orders to maximize liquidity rewards (useful for liquidity providers on Polymarket). GitHub: 2. The bot, which analyzes the real behavior of any Polymarket trader, finds repeated patterns in his trades, explains which strategies he uses and how you can actually adapt them to your own trading. GitHub: 3. A bot with 118+ ready to use strategies and tools for prediction markets, including Smart Money, Binance-Polymarket latency, Mean Reversion and more… The most interesting one is Polymarket - Kalshi Cross Arbitrage - it finds differences in prices between platforms and can manage trades automatically. GitHub: 4. A Chinese weather bot that analyzes multiple sources in real time, like forecasts, public airport data and aviation observations (METAR + SPECI) and then generates a detailed weather report for a specific city and day. GitHub: 5. This is a bot-toolkit that includes copy trading, arbitrage, market making, spread farming, whale alerts, sports trading and more… GitHub: Almost every tool here has a DRY RUN mode, so you can test them on real markets, but with fake funds.

Recogard

14,162 görüntüleme • 4 ay önce

This guy built a trading bot on Polymarket with an average trade size of $8 Result: +$251,218 His bot trades 5 and 15 minute crypto Up/Down markets using a hybrid of directional trading, latency edge, and dynamic hedging: 1. It looks for edge using its own model It tracks momentum, acceleration, order flow imbalance, and spot feeds relative to the reference price of the current market Based on this data, it constantly recalculates its own fair value for Up and Down. It enters a position when it detects mispricing 2. When the signal changes, it quickly adjusts its exposure If momentum reverses, it can reduce the existing side or start accumulating the opposite outcome In 86.2% of markets, it traded both sides. The dynamic hedge constantly adjusts net exposure based on the model’s latest signal It’s Polymarket nickname: nj23adsknml3 Follow this account and trade on Polymarket through this app: It’s stats: > Trades / active hour: 516 > Average trade: $8.13 > Win Rate: 49% The main edge of this guy’s HFT algorithm comes from speed. It tries to detect changes in fair value on external crypto markets before they are reflected in Polymarket prices It then captures the temporary mispricing and quickly adjusts its directional exposure with every new market move
0:28

This guy built a trading bot on Polymarket with an average trade size of $8 Result: +$251,218 His bot trades 5 and 15 minute crypto Up/Down markets using a hybrid of directional trading, latency edge, and dynamic hedging: 1. It looks for edge using its own model It tracks momentum, acceleration, order flow imbalance, and spot feeds relative to the reference price of the current market Based on this data, it constantly recalculates its own fair value for Up and Down. It enters a position when it detects mispricing 2. When the signal changes, it quickly adjusts its exposure If momentum reverses, it can reduce the existing side or start accumulating the opposite outcome In 86.2% of markets, it traded both sides. The dynamic hedge constantly adjusts net exposure based on the model’s latest signal It’s Polymarket nickname: nj23adsknml3 Follow this account and trade on Polymarket through this app: It’s stats: > Trades / active hour: 516 > Average trade: $8.13 > Win Rate: 49% The main edge of this guy’s HFT algorithm comes from speed. It tries to detect changes in fair value on external crypto markets before they are reflected in Polymarket prices It then captures the temporary mispricing and quickly adjusts its directional exposure with every new market move

VALIX

369,056 görüntüleme • 24 gün önce

This trader used Claude to build a Quant Bot and made +$239,932 on Polymarket 123,348 predictions in 142 days with a 57% win rate How is this account bringing in about $1,690 per day? The logic is simple: 1. It operates across short crypto “Up / Down” markets at roughly 36 trades per hour 2. The framework appears to mix temporal arbitrage, directional hedging, and dynamic inventory management 3. Rather than forming the entire position at once, the bot can enter one outcome first and add the opposite side later after the probabilities shift This trader’s Polymarket account: BoneOhio You can follow this account and trade on Polymarket through this bot: Most profitable trades: $11,201 → $19,235 (+$8,034 +71.7%) $5,809 → $13,312 (+$7,504 +129.2%) $10,418 → $17,536 (+$7,117 +68.3%) The real edge comes from continuously reshaping exposure as probabilities move and repeating that process across more than 123,000 entries
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This trader used Claude to build a Quant Bot and made +$239,932 on Polymarket 123,348 predictions in 142 days with a 57% win rate How is this account bringing in about $1,690 per day? The logic is simple: 1. It operates across short crypto “Up / Down” markets at roughly 36 trades per hour 2. The framework appears to mix temporal arbitrage, directional hedging, and dynamic inventory management 3. Rather than forming the entire position at once, the bot can enter one outcome first and add the opposite side later after the probabilities shift This trader’s Polymarket account: BoneOhio You can follow this account and trade on Polymarket through this bot: Most profitable trades: $11,201 → $19,235 (+$8,034 +71.7%) $5,809 → $13,312 (+$7,504 +129.2%) $10,418 → $17,536 (+$7,117 +68.3%) The real edge comes from continuously reshaping exposure as probabilities move and repeating that process across more than 123,000 entries

Daniro

19,441 görüntüleme • 1 ay önce