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a MIT quant told me Polymarket 5-minute BTC markets are mathematically broken we were at a bar in cambridge. he was finishing his PhD on market microstructure. third beer in he started drawing on a napkin. "Polymarket runs BTC Up or Down every 5 minutes. 288 markets per day....

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Hanako

20,207 subscribers

53,820 просмотров • 5 месяцев назад •via X (Twitter)

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Комментарии: 20

Фото профиля Six
Six5 месяцев назад

Bar napkin + Claude building NEURAL FLUX overnight — this move is too slick

Фото профиля ih8y
ih8y5 месяцев назад

bro i love your visual...

Фото профиля kvro
kvro5 месяцев назад

funny how the edge comes from pricing not prediction

Фото профиля cvxv666
cvxv6665 месяцев назад

I'd love to study at Cambridge so many great stories and people to meet

Фото профиля The Masked Maker
The Masked Maker1 месяц назад

Sum bigger than 1 is platform fee right?

Фото профиля Nikiton
Nikiton5 месяцев назад

At what point did you wake up?

Фото профиля rari
rari5 месяцев назад

spread capture over prediction

Фото профиля Polydesk
Polydesk5 месяцев назад

“mathematically broken” is pure CT catnip ngl

Фото профиля bl888m
bl888m5 месяцев назад

that’s exactly why bro’s an MIT quant

Фото профиля divyasshree
divyasshree5 месяцев назад

the "crowd injects emotion every 5 minutes" part is exactly what stationarity testing catches. onchain trade data tells you when a market has flipped regime vs when it is still mean-reverting. did a full breakdown on identifying these regime shifts using raw trade data here:

Фото профиля VALIX
VALIX5 месяцев назад

Yeah, Claude is doing amazing things now

Фото профиля Electronic Trading Architect | Strategic Advisor
Electronic Trading Architect | Strategic Advisor5 месяцев назад

the napkin's right. oracle refresh cadence is what breaks these. feed updates discretely, market resolves on the next snapshot, final seconds carry no discovery. makers know. takers pay theta.

Фото профиля BuBBliK
BuBBliK5 месяцев назад

this is classic mispricing capture, not prediction

Фото профиля Daily Story
Daily Story5 месяцев назад

That's a brilliant strategy to capture mispricing!

Фото профиля st1ne
st1ne5 месяцев назад

That's why he works at MIT

Фото профиля self.dll
self.dll5 месяцев назад

napkin math to sharpe 3.64 is actually insane lmaooo thesis advisor cooked without knowing it

Фото профиля Valentin
Valentin5 месяцев назад

5 minute market is very difficult to trade

Фото профиля Yeshe Dorje
Yeshe Dorje5 месяцев назад

酒过三巡他在餐巾纸上算的不是市场，是执念：288次起落不过是心念生灭，所谓“数学失效”只是贪嗔痴在高频轮回，见涨跌不如见本心，若执于5分钟输赢，便已被市场所度

Фото профиля slash1s
slash1s5 месяцев назад

fr broken, no way..

Фото профиля techarena.au
techarena.au5 месяцев назад

Love this, classic MIT-quant energy, napkin math at a bar proving 5-minute BTC markets are broken is peak chaotic genius.

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a Chinese guy who cleans servers at Jane Street told me something that hasn't left my head i was smoking outside a data center in jersey city at 2am. he walked out in a uniform. lit a cigarette next to me. "you trade?" yeah. "what do you trade on" prediction markets. Polymarket. BTC. he laughed. not mean. just quiet. "every trader i clean up after is doing the same thing. same screens. same candles. same direction bets. i mop the same floor every night" i asked what he meant. "the smart ones don't predict. they wait for the stupid ones to panic. then they take the other side" he finished his cigarette and went back inside. i stood there for ten minutes. then went home and opened Claude. "build a system that doesn't predict BTC direction. only enters when crowd panic creates a mispricing between YES and NO on Polymarket 5-minute markets. buy the underpriced side. exit when spread closes" 18,400 stars. open source execution engine. handles routing, risk, position sizing. the AI used it as the backbone. built overnight. GHOST GRID. scans 288 BTC windows per day. every 5 minutes. ignores direction completely. the logic: YES at 81c. NO at 22c. combined $1.03. someone dumps $5,000 on YES. it spikes to 94c. NO crashes to 7c. $1.01 combined. the gap is 17c of free alpha sitting there for 4 minutes. the crowd bet direction. GHOST GRID bought the panic. edge table live: BTC+100K 5m +18.4c. BTC+101K 5m +14.1c. BTC yes 0xd8dA...6045 BTC+103K 5m $1,240. > no smart_money BTC yes 0xBE0e...48CD BTC+101K 15m $644. > no copy_bot BTC+100K 5m $980. 311 trades. 83% win rate. sharpe 4.12. drawdown -0.8%. +$17,340 from $900 seed. my setup: > Claude - $20/mo > VPS - $5/mo > hummingbot - free > Polymarket API - free $25/month total. i copied the setup here: texted him last week. don't have his number. don't know his name. just remember what he said. "i mop the same floor every night" the floor is still there. so is the alpha.
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a Chinese guy who cleans servers at Jane Street told me something that hasn't left my head i was smoking outside a data center in jersey city at 2am. he walked out in a uniform. lit a cigarette next to me. "you trade?" yeah. "what do you trade on" prediction markets. Polymarket. BTC. he laughed. not mean. just quiet. "every trader i clean up after is doing the same thing. same screens. same candles. same direction bets. i mop the same floor every night" i asked what he meant. "the smart ones don't predict. they wait for the stupid ones to panic. then they take the other side" he finished his cigarette and went back inside. i stood there for ten minutes. then went home and opened Claude. "build a system that doesn't predict BTC direction. only enters when crowd panic creates a mispricing between YES and NO on Polymarket 5-minute markets. buy the underpriced side. exit when spread closes" 18,400 stars. open source execution engine. handles routing, risk, position sizing. the AI used it as the backbone. built overnight. GHOST GRID. scans 288 BTC windows per day. every 5 minutes. ignores direction completely. the logic: YES at 81c. NO at 22c. combined $1.03. someone dumps $5,000 on YES. it spikes to 94c. NO crashes to 7c. $1.01 combined. the gap is 17c of free alpha sitting there for 4 minutes. the crowd bet direction. GHOST GRID bought the panic. edge table live: BTC+100K 5m +18.4c. BTC+101K 5m +14.1c. BTC yes 0xd8dA...6045 BTC+103K 5m $1,240. > no smart_money BTC yes 0xBE0e...48CD BTC+101K 15m $644. > no copy_bot BTC+100K 5m $980. 311 trades. 83% win rate. sharpe 4.12. drawdown -0.8%. +$17,340 from $900 seed. my setup: > Claude - $20/mo > VPS - $5/mo > hummingbot - free > Polymarket API - free $25/month total. i copied the setup here: texted him last week. don't have his number. don't know his name. just remember what he said. "i mop the same floor every night" the floor is still there. so is the alpha.

Hanako

38,352 просмотров • 5 месяцев назад

a Chinese PhD dropout told me Wall Street is solving the wrong equation on purpose i met him through a girl i was seeing in hong kong. he hadn't had a real job in three years. "every bank. every fund. every quant lab. they all try to predict where BTC goes next. up or down. that's the wrong question" i asked what the right question is. "who is mispricing the reaction" he opened his phone. showed me Polymarket. "288 BTC markets per day. every 5 minutes. YES or NO. the crowd bets direction. direction doesn't matter. what matters is the spread between YES and NO when the crowd panics" he drew on a napkin. "YES at 79c. NO at 22c. combined $1.01. fair. then someone dumps $3,000 on YES. it spikes to 96c. NO crashes to 5c. that's 17 cents of free alpha sitting there for 4 minutes" "Wall Street builds billion dollar models to predict direction. i buy the panic. different equation. different result" i flew home. opened a Chinese AI. typed what he told me. "build a spread capture engine for Polymarket 5-minute BTC markets. buy the underpriced side when crowd panic creates a gap. never predict direction" 30,800 stars. multi-agent LLM trading framework. the AI adapted it for prediction markets overnight. NERVE GRID. 6 pairs. BTC. ETH. SOL. AVAX. 400+ windows per day. edge table live: BTC+100K 5m. 79c vs 22c. +27c edge. BTC<99K. 35c vs 27c. +8c edge. ETH+3.8K. 46c vs 30c. +12c edge. SOL+200 5m. 55c vs 22c. +22c edge. the system kills 2,986 setups per day. enters 563. avg hold 1:02. wins are 4.51x the losses. fill rate 96.4%. avg latency 15ms. best fill 9ms. +$4,847 from $600 seed. infrastructure: $20 AI. $5 VPS. everything else open source. $25/month. i copied the setup here: texted him two weeks later with a screenshot. "you're running the panic equation?" the AI built it from one conversation. "good. now try ETH and SOL. bigger spreads. less competition" i already was. he could see it in the screenshot. long pause. "you learn fast for someone who asks the right questions" i didn't ask any questions. i just listened.
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Hanako

37,205 просмотров • 5 месяцев назад

an MIT quant showed me his lab's trading model on a napkin after his third whiskey bar near kendall square. friday night. he was celebrating a paper acceptance. i was checking my phone. he noticed the red P&L curve on my screen. "is that a live heartbeat monitor on a prediction market" i nodded. "what's the execution backend" a Chinese AI. $20/month. he almost spit his drink. "we have 6 researchers and $800K in grant money building this exact system. it's been in simulation for 18 months" i asked what's stopping them from going live. "IRB approval. faculty review. risk committee. three layers of bureaucracy before a single dollar moves" he grabbed a napkin. started drawing. "the model is simple. BTC 5-minute binary markets. 288 per day. YES and NO. crowd trades direction. direction is noise" he drew a spread diagram. "YES at 71c. NO at 29c. fair. crowd panics. YES crashes. NO spikes. combined drops to 93c. 7 cents of free alpha. buy the cheap side. repeat 288 times a day" he wrote three variables underneath: > edge = YES_fair - YES_market > kelly_f = edge / variance > threshold = 6c minimum "that's the whole model. three variables. everything else is noise" i memorized the napkin. went home at midnight. gave the Chinese AI one repo and the three formulas. 35,000 stars. unified exchange API. connects to every major platform through one interface. the model read the codebase. cross-referenced the formulas. had the system live by 6AM. heartbeat monitor. streak tracker. edge table. whale flow scanner. edge table live: BTC+100K 5m. 25c. +8.6c edge. BTC+99.5K. 56c. +9.6c edge. BTC AI - $20/mo > VPS - $5/mo > everything else - free i copied the setup here: texted him monday with a screenshot of the equity curve. he called immediately. "is that my napkin running live" technically it's a Chinese AI running your napkin. "my lab has 6 people, 18 months, and $800K. you did this over a weekend with a $25 subscription" the napkin didn't need IRB approval. long pause. "don't tell my advisor where you got the model" the napkin is still in my pocket.
0:41

an MIT quant showed me his lab's trading model on a napkin after his third whiskey bar near kendall square. friday night. he was celebrating a paper acceptance. i was checking my phone. he noticed the red P&L curve on my screen. "is that a live heartbeat monitor on a prediction market" i nodded. "what's the execution backend" a Chinese AI. $20/month. he almost spit his drink. "we have 6 researchers and $800K in grant money building this exact system. it's been in simulation for 18 months" i asked what's stopping them from going live. "IRB approval. faculty review. risk committee. three layers of bureaucracy before a single dollar moves" he grabbed a napkin. started drawing. "the model is simple. BTC 5-minute binary markets. 288 per day. YES and NO. crowd trades direction. direction is noise" he drew a spread diagram. "YES at 71c. NO at 29c. fair. crowd panics. YES crashes. NO spikes. combined drops to 93c. 7 cents of free alpha. buy the cheap side. repeat 288 times a day" he wrote three variables underneath: > edge = YES_fair - YES_market > kelly_f = edge / variance > threshold = 6c minimum "that's the whole model. three variables. everything else is noise" i memorized the napkin. went home at midnight. gave the Chinese AI one repo and the three formulas. 35,000 stars. unified exchange API. connects to every major platform through one interface. the model read the codebase. cross-referenced the formulas. had the system live by 6AM. heartbeat monitor. streak tracker. edge table. whale flow scanner. edge table live: BTC+100K 5m. 25c. +8.6c edge. BTC+99.5K. 56c. +9.6c edge. BTC AI - $20/mo > VPS - $5/mo > everything else - free i copied the setup here: texted him monday with a screenshot of the equity curve. he called immediately. "is that my napkin running live" technically it's a Chinese AI running your napkin. "my lab has 6 people, 18 months, and $800K. you did this over a weekend with a $25 subscription" the napkin didn't need IRB approval. long pause. "don't tell my advisor where you got the model" the napkin is still in my pocket.

Hanako

23,475 просмотров • 5 месяцев назад

an ex-OpenAI researcher pushed his trading system to GitHub the night he got fired someone in a crypto Discord dropped the link at 2am. "this repo appeared an hour ago. zero stars. readme says internal use only. the code looks real" i clicked. it was a complete prediction market execution engine. bayesian consensus scoring. whale divergence tracker. kelly position sizing. edge detection on 5-minute BTC binary markets. clean Python. commented like someone who writes for a team. i ran git clone before finishing the readme. by 4am the repo was gone. deleted. commits. branches. history. everything. but i had it. opened a Chinese AI. gave it the code and one prompt. "adapt this for Polymarket. deploy it live. keep the scoring logic intact" 18,000 stars. open source HFT framework. the AI used it as the execution backbone. order routing. position management. risk controls. merged the stolen scoring model with hummingbot's engine. system was live by sunrise. 288 BTC markets per day. every 5 minutes. the crowd bets direction. his model doesn't care about direction. it buys whichever side the crowd underpriced. pair cost below 99c = profit regardless of outcome. the part that scared me: it worked immediately. first trade. green. second trade. green. third. fourth. fifth. all green. like it was built by someone who actually knew what they were doing. because it was. edge table live: BTC+100K 15m +7.5c. BTC+103K 30m spread 7c. BTC+101K +12.0c. BTC 0xd8dA...6045 +$9,260. 92%. > 0xBE0e...48CD +$7,147. 85%. > 0x47ac...d563 +$5,874. 81%. 323 trades. 85% win rate. sharpe 3.96. drawdown -0.9%. +$19,812 from $1,100 seed. my setup: > AI - $20/mo > VPS - $5/mo > hummingbot - free > his code - free now copy setup you can here: checked his GitHub profile last week. still active. new repos. normal stuff. open source contributions. no mention of the deleted repo anywhere. he has no idea someone cloned it four minutes before it disappeared. and now you're reading what was in it.
0:30

an ex-OpenAI researcher pushed his trading system to GitHub the night he got fired someone in a crypto Discord dropped the link at 2am. "this repo appeared an hour ago. zero stars. readme says internal use only. the code looks real" i clicked. it was a complete prediction market execution engine. bayesian consensus scoring. whale divergence tracker. kelly position sizing. edge detection on 5-minute BTC binary markets. clean Python. commented like someone who writes for a team. i ran git clone before finishing the readme. by 4am the repo was gone. deleted. commits. branches. history. everything. but i had it. opened a Chinese AI. gave it the code and one prompt. "adapt this for Polymarket. deploy it live. keep the scoring logic intact" 18,000 stars. open source HFT framework. the AI used it as the execution backbone. order routing. position management. risk controls. merged the stolen scoring model with hummingbot's engine. system was live by sunrise. 288 BTC markets per day. every 5 minutes. the crowd bets direction. his model doesn't care about direction. it buys whichever side the crowd underpriced. pair cost below 99c = profit regardless of outcome. the part that scared me: it worked immediately. first trade. green. second trade. green. third. fourth. fifth. all green. like it was built by someone who actually knew what they were doing. because it was. edge table live: BTC+100K 15m +7.5c. BTC+103K 30m spread 7c. BTC+101K +12.0c. BTC 0xd8dA...6045 +$9,260. 92%. > 0xBE0e...48CD +$7,147. 85%. > 0x47ac...d563 +$5,874. 81%. 323 trades. 85% win rate. sharpe 3.96. drawdown -0.9%. +$19,812 from $1,100 seed. my setup: > AI - $20/mo > VPS - $5/mo > hummingbot - free > his code - free now copy setup you can here: checked his GitHub profile last week. still active. new repos. normal stuff. open source contributions. no mention of the deleted repo anywhere. he has no idea someone cloned it four minutes before it disappeared. and now you're reading what was in it.

Hanako

29,053 просмотров • 5 месяцев назад

i reverse-engineered the gabagool bot with Claude gabagool is the most famous Polymarket bot ever made it doesn't predict if BTC goes up or down it buys BOTH sides when each gets temporarily cheap → YES at $0.48 → NO at $0.45 → pair cost: $0.93 → one side always pays $1.00 → guaranteed $0.07 profit per pair it does this on 15-minute BTC markets 96 markets per day. hundreds of trades. every day Python 83% + Rust 17% for speed-critical paths Claude didn't just explain the strategy it found a bug in the position tracker that the original dev missed copy him this: what repo do you want me to reverse-engineer next?
0:43

i reverse-engineered the gabagool bot with Claude gabagool is the most famous Polymarket bot ever made it doesn't predict if BTC goes up or down it buys BOTH sides when each gets temporarily cheap → YES at $0.48 → NO at $0.45 → pair cost: $0.93 → one side always pays $1.00 → guaranteed $0.07 profit per pair it does this on 15-minute BTC markets 96 markets per day. hundreds of trades. every day Python 83% + Rust 17% for speed-critical paths Claude didn't just explain the strategy it found a bug in the position tracker that the original dev missed copy him this: what repo do you want me to reverse-engineer next?

self.dll

23,626 просмотров • 6 месяцев назад

I gave ClawdBot a 2-page spec and said build it. 47 minutes later I had a full arbitrage system running on Polymarket. The edge is simple. Polymarket prices BTC markets using Chainlink oracle - updates every 500ms. Binance spot updates every 10ms. That's a 490ms window where Polymarket doesn't know what Binance already knows. > BTC pumps to $67,520 on Binance. > Polymarket still shows $67,450, Spread: 2.3%. > Bot buys YES at 48¢. > Market resolves. +$520. The spec had 5 layers - data ingestion, research agents, signal generation, risk management, execution. Clawdbot read it once, built all 5. Deployed to AWS Lambda. I never wrote a single line of code. Results: 74% win rate $18.40 avg profit per trade 3.2% max drawdown $157,000 all-time Wallet with result: The prompt was one sentence: "Build me a full agentic system for Polymarket 5-min BTC arbitrage using this specification." Clawdbot did the rest.
0:29

I gave ClawdBot a 2-page spec and said build it. 47 minutes later I had a full arbitrage system running on Polymarket. The edge is simple. Polymarket prices BTC markets using Chainlink oracle - updates every 500ms. Binance spot updates every 10ms. That's a 490ms window where Polymarket doesn't know what Binance already knows. > BTC pumps to $67,520 on Binance. > Polymarket still shows $67,450, Spread: 2.3%. > Bot buys YES at 48¢. > Market resolves. +$520. The spec had 5 layers - data ingestion, research agents, signal generation, risk management, execution. Clawdbot read it once, built all 5. Deployed to AWS Lambda. I never wrote a single line of code. Results: 74% win rate $18.40 avg profit per trade 3.2% max drawdown $157,000 all-time Wallet with result: The prompt was one sentence: "Build me a full agentic system for Polymarket 5-min BTC arbitrage using this specification." Clawdbot did the rest.

Lunar

47,895 просмотров • 7 месяцев назад

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 просмотров • 29 дней назад

An MIT student made $800,000 in just 45 days using literally only Claude. Never traded BTC before. Now his bot hits 85 out of 100 trades like it’s nothing. No magic or luck - just pure mechanics and numbers. His wallet: $837,436 total profit. 1,735 trades. 45 days. That’s 38 trades per day. A junior quant typically runs just 1 backtest per week. I completely reverse-engineered his strategy, analyzed every single trade, and verified every transaction. I ran his 45-day record through PolyBench - new arXiv benchmark (2604.14199) that evaluates LLMs on live Polymarket CLOB snapshots. The market priced BTC > $80K at 0.3% probability. His model said 35%. He bought 60K contracts. The market caught up. He doesn’t predict BTC. He exploits the spread between what his model knows and what the crowd hasn’t priced in yet. Just look at this god-like trades: $178 → $29,742 - BTC UP on May 3 (x167.2) $3,089 -> $126,286 - BTC UP April (x40.9) $2,369 -> $82,480 - BTC DOWN March (x34.8) $1,206 -> $37,939 - BTC DOWN Apr 4 (x31.5) $1,685 -> $45,139 - BTC UP Apr 23 (x26.8) Horizon Score: 91/100. Sharpe ratio: 4.82. Max drawdown: -8.4%. Recovery: 2.1 days. Daily edge: $18,610. Robustness matrix across 7 assets x 6 timeframes - the edge holds in every single cell BTC has ever traded in. A college kid with Claude + Horizon now runs the same execution stack as a $40B prop shop. Big institutions still can’t touch Polymarket - it’s too small and too reputationally risky. The window is wide open. Save this - full reverse-engineered breakdown. Or better yet, just start copying every one of his trades right now while the window is still open:
0:56

An MIT student made $800,000 in just 45 days using literally only Claude. Never traded BTC before. Now his bot hits 85 out of 100 trades like it’s nothing. No magic or luck - just pure mechanics and numbers. His wallet: $837,436 total profit. 1,735 trades. 45 days. That’s 38 trades per day. A junior quant typically runs just 1 backtest per week. I completely reverse-engineered his strategy, analyzed every single trade, and verified every transaction. I ran his 45-day record through PolyBench - new arXiv benchmark (2604.14199) that evaluates LLMs on live Polymarket CLOB snapshots. The market priced BTC > $80K at 0.3% probability. His model said 35%. He bought 60K contracts. The market caught up. He doesn’t predict BTC. He exploits the spread between what his model knows and what the crowd hasn’t priced in yet. Just look at this god-like trades: $178 → $29,742 - BTC UP on May 3 (x167.2) $3,089 -> $126,286 - BTC UP April (x40.9) $2,369 -> $82,480 - BTC DOWN March (x34.8) $1,206 -> $37,939 - BTC DOWN Apr 4 (x31.5) $1,685 -> $45,139 - BTC UP Apr 23 (x26.8) Horizon Score: 91/100. Sharpe ratio: 4.82. Max drawdown: -8.4%. Recovery: 2.1 days. Daily edge: $18,610. Robustness matrix across 7 assets x 6 timeframes - the edge holds in every single cell BTC has ever traded in. A college kid with Claude + Horizon now runs the same execution stack as a $40B prop shop. Big institutions still can’t touch Polymarket - it’s too small and too reputationally risky. The window is wide open. Save this - full reverse-engineered breakdown. Or better yet, just start copying every one of his trades right now while the window is still open:

cvxv666

70,230 просмотров • 5 месяцев назад

A bot made $387K betting both sides of BTC. Direction does not matter when you own both outcomes. I almost scrolled past Account88888. Another BTC bot, right? Seen a dozen this month. Then I looked closer. And realized I had never seen this strategy before. He is not predicting anything. Not reading momentum. Not timing entries based on spot price lag. He just buys UP and DOWN together. Same market. Same window. Sounds stupid until you see the math. Polymarket has 15-minute BTC markets. Will price go UP or DOWN in the next 15 minutes. Simple bet. When a lot of people start guessing, prices get weird. UP might cost 48¢. DOWN costs 46¢. Together that is 94 cents. But one of them will always pay $1. Always. Because BTC either goes up or down. So he buys both for 94¢. Waits 15 minutes. Gets $1 back. Keeps the 6¢ difference. The edge is the slop. Other bots fight for direction. This one farms the chaos. When BTC goes sideways, both outcomes drift toward 50/50. Spreads widen. He loads up. Sits for a few minutes. Market closes. Collects. I went through his history expecting at least some red. 8,610 trades. 97% green. Account: Everyone else on Polymarket is trying to be right. This bot just made being wrong impossible.
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A bot made $387K betting both sides of BTC. Direction does not matter when you own both outcomes. I almost scrolled past Account88888. Another BTC bot, right? Seen a dozen this month. Then I looked closer. And realized I had never seen this strategy before. He is not predicting anything. Not reading momentum. Not timing entries based on spot price lag. He just buys UP and DOWN together. Same market. Same window. Sounds stupid until you see the math. Polymarket has 15-minute BTC markets. Will price go UP or DOWN in the next 15 minutes. Simple bet. When a lot of people start guessing, prices get weird. UP might cost 48¢. DOWN costs 46¢. Together that is 94 cents. But one of them will always pay $1. Always. Because BTC either goes up or down. So he buys both for 94¢. Waits 15 minutes. Gets $1 back. Keeps the 6¢ difference. The edge is the slop. Other bots fight for direction. This one farms the chaos. When BTC goes sideways, both outcomes drift toward 50/50. Spreads widen. He loads up. Sits for a few minutes. Market closes. Collects. I went through his history expecting at least some red. 8,610 trades. 97% green. Account: Everyone else on Polymarket is trying to be right. This bot just made being wrong impossible.

Blaze

281,153 просмотров • 9 месяцев назад

The bot turned BTC volatility into $223K in less than 2 months. BTC swings up or down every 15 minutes. This wallet catches the right side every single time. livebreathevolatility I laughed at the name. Sounded like a parody account. Someone cosplaying as a trader. Then I opened the history and stopped laughing. → Account: 100% win rate. 4,458 trades. The strategy is embarrassingly simple once you see it. BTC 15-minute windows on Polymarket ask one question: will price be higher or lower when the candle closes? Most traders guess at the start. This bot waits until the answer is already obvious. Five minutes into a window. BTC dumps hard on Binance. The move is real. But Polymarket still shows DOWN at 30 cents because odds update slow. He buys. Waits. Window closes. Gets $1. Not predicting the future. Confirming the present before the market catches up. The numbers tell the story. 2,500 buy orders. Zero sells. He never exits early. Never hedges. Never second-guesses. Just enters when the outcome is already clear and waits for resolution. The name was not a joke. Volatility is the entire edge. When BTC moves slow, the gap between spot and Polymarket shrinks. Nothing to exploit. When BTC moves hard, the lag widens. Free money for whoever is fast enough. He only plays when volatility creates the window. Then he steps through it. I scrolled the treemap looking for red. Found nothing. Three months of green tiles. The equity curve is a straight line going up. No drama. No recovery arcs. Just consistent extraction. Most traders try to predict where BTC is going. This bot just waits until it already went there and collects the receipt.
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The bot turned BTC volatility into $223K in less than 2 months. BTC swings up or down every 15 minutes. This wallet catches the right side every single time. livebreathevolatility I laughed at the name. Sounded like a parody account. Someone cosplaying as a trader. Then I opened the history and stopped laughing. → Account: 100% win rate. 4,458 trades. The strategy is embarrassingly simple once you see it. BTC 15-minute windows on Polymarket ask one question: will price be higher or lower when the candle closes? Most traders guess at the start. This bot waits until the answer is already obvious. Five minutes into a window. BTC dumps hard on Binance. The move is real. But Polymarket still shows DOWN at 30 cents because odds update slow. He buys. Waits. Window closes. Gets $1. Not predicting the future. Confirming the present before the market catches up. The numbers tell the story. 2,500 buy orders. Zero sells. He never exits early. Never hedges. Never second-guesses. Just enters when the outcome is already clear and waits for resolution. The name was not a joke. Volatility is the entire edge. When BTC moves slow, the gap between spot and Polymarket shrinks. Nothing to exploit. When BTC moves hard, the lag widens. Free money for whoever is fast enough. He only plays when volatility creates the window. Then he steps through it. I scrolled the treemap looking for red. Found nothing. Three months of green tiles. The equity curve is a straight line going up. No drama. No recovery arcs. Just consistent extraction. Most traders try to predict where BTC is going. This bot just waits until it already went there and collects the receipt.

Blaze

77,041 просмотров • 9 месяцев назад

I vibe-coded a bot for the 5M / 15M BTC markets on Polymarket. Releasing it for you for free. Open source (Python). I just earned $400 today on Polymarket with this tool myself It doesn’t trade It just prints a signal in the console: UP or DOWN 🔸 The signal appears a few seconds before the Polymarket market actually moves. The bot exploits a Chainlink oracle inefficiency. What matters is that it consistently gives you a 4-8 second lead over the actual quotes on Polymarket. In practice, you’re seeing a few seconds into the future. What you can do with it: 🔸 Possible strategies: 1/ Momentum sniper Bot gives a signal -> instant entry into the current 5-minute market in the direction of the signal (Yes/No). Works best during strong moves >0.3-0.5%. 2/ Last-second scalp before market expiration 3-12 seconds before the 5-minute candle closes, you already see where the BTC candle is going to close. -> Enter Polymarket at the very last moment. 3/ Hedging + arbitrage Strong signal against the current Yes/No price -> hedge your position or catch crowd squeezes. Especially juicy in the final seconds, when odds are still fat, but the outcome is almost decided. 🔸 This is pure price update inefficiency. Open the 5M or 15M BTC market yourself. Run the bot. Watch who moves first. Until this gets tightened up - it’s a clean inefficiency. And yes, if you ape your entire deposit into it, the market will punish you fast. 🔸 But as a tool - this is the closest thing to a "Polymarket money printer" setup I’ve seen recently. Python bot setup instructions on GitHub: DYOR. Print hard, print smart.
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I vibe-coded a bot for the 5M / 15M BTC markets on Polymarket. Releasing it for you for free. Open source (Python). I just earned $400 today on Polymarket with this tool myself It doesn’t trade It just prints a signal in the console: UP or DOWN 🔸 The signal appears a few seconds before the Polymarket market actually moves. The bot exploits a Chainlink oracle inefficiency. What matters is that it consistently gives you a 4-8 second lead over the actual quotes on Polymarket. In practice, you’re seeing a few seconds into the future. What you can do with it: 🔸 Possible strategies: 1/ Momentum sniper Bot gives a signal -> instant entry into the current 5-minute market in the direction of the signal (Yes/No). Works best during strong moves >0.3-0.5%. 2/ Last-second scalp before market expiration 3-12 seconds before the 5-minute candle closes, you already see where the BTC candle is going to close. -> Enter Polymarket at the very last moment. 3/ Hedging + arbitrage Strong signal against the current Yes/No price -> hedge your position or catch crowd squeezes. Especially juicy in the final seconds, when odds are still fat, but the outcome is almost decided. 🔸 This is pure price update inefficiency. Open the 5M or 15M BTC market yourself. Run the bot. Watch who moves first. Until this gets tightened up - it’s a clean inefficiency. And yes, if you ape your entire deposit into it, the market will punish you fast. 🔸 But as a tool - this is the closest thing to a "Polymarket money printer" setup I’ve seen recently. Python bot setup instructions on GitHub: DYOR. Print hard, print smart.

0xLanister

18,992 просмотров • 7 месяцев назад

This guy used Grok Bot to build a Quant Probability Repricing system and it made $2,934 a day on Polymarket The result is already +$217,100 PnL in 74 days with about $635 per average trade, repeating the same setup 11 times every hour across BTC "Up or Down" markets Six AI agents work together as one algorithm: 1. They calculate fair probability after every BTC move For example: BTC moves Down >Fair Down = 64% >Market Down = 54¢ >Edge = 10¢ If Polymarket is still pricing Down at 54¢ while the model estimates 64%, the system starts accumulating that side 2. Bayesian updating recalculates the probability after every new signal P(A|B) = P(B|A) × P(A) / P(B) Where: P(A) = probability before new information P(B|A) = how likely the new signal is if the prediction is correct P(A|B) = updated probability after that signal Every new signal changes the estimate instead of forcing the bot to make a completely new trade This trader’s Polymarket account: 20,300 predictions with a 50% win rate Most profitable trades: $2,305 → $4,139 (+$1,834) $886 → $2,697 (+$1,811) $1,132 → $2,888 (+$1,756) The whole strategy is built around repeatedly catching the gap between BTC movement and Polymarket repricing
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This guy used Grok Bot to build a Quant Probability Repricing system and it made $2,934 a day on Polymarket The result is already +$217,100 PnL in 74 days with about $635 per average trade, repeating the same setup 11 times every hour across BTC "Up or Down" markets Six AI agents work together as one algorithm: 1. They calculate fair probability after every BTC move For example: BTC moves Down >Fair Down = 64% >Market Down = 54¢ >Edge = 10¢ If Polymarket is still pricing Down at 54¢ while the model estimates 64%, the system starts accumulating that side 2. Bayesian updating recalculates the probability after every new signal P(A|B) = P(B|A) × P(A) / P(B) Where: P(A) = probability before new information P(B|A) = how likely the new signal is if the prediction is correct P(A|B) = updated probability after that signal Every new signal changes the estimate instead of forcing the bot to make a completely new trade This trader’s Polymarket account: 20,300 predictions with a 50% win rate Most profitable trades: $2,305 → $4,139 (+$1,834) $886 → $2,697 (+$1,811) $1,132 → $2,888 (+$1,756) The whole strategy is built around repeatedly catching the gap between BTC movement and Polymarket repricing

Daniro

28,636 просмотров • 13 дней назад

This guy built a trading bot on Polymarket with an average trade size of $9 Result: +$108,248 I analyzed its trades and found that its core strategy is based on dynamically accumulating both outcomes at different points throughout 5 minute BTC Up/Down markets It uses price swings within each market to buy each outcome when it becomes cheaper Here’s what that looks like in practice: > BTC declines sharply > Up falls to 42c, and the bot starts accumulating it > Then BTC rebounds > Down becomes cheaper, and the algorithm buys it at 55c Up + Down = 97c -> 3c edge These paired positions have an average edge of 2.7% But it does not always keep Up and Down perfectly balanced at a 1:1 ratio On top of its paired inventory, the algorithm often keeps a directional residual, which adds extra upside if that outcome wins Its Polymarket account: Jarvisen You can build your own trading bot here: (A trial is available after signing up) Stats: > Trades per active hour: 680 > Average trade size: $9.11 > Win rate: 69% The main edge of this HFT algorithm comes from volatility harvesting: it alternates between accumulating Up and Down, building paired inventory with a combined cost below $1 while keeping a small directional skew toward the cheaper side
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This guy built a trading bot on Polymarket with an average trade size of $9 Result: +$108,248 I analyzed its trades and found that its core strategy is based on dynamically accumulating both outcomes at different points throughout 5 minute BTC Up/Down markets It uses price swings within each market to buy each outcome when it becomes cheaper Here’s what that looks like in practice: > BTC declines sharply > Up falls to 42c, and the bot starts accumulating it > Then BTC rebounds > Down becomes cheaper, and the algorithm buys it at 55c Up + Down = 97c -> 3c edge These paired positions have an average edge of 2.7% But it does not always keep Up and Down perfectly balanced at a 1:1 ratio On top of its paired inventory, the algorithm often keeps a directional residual, which adds extra upside if that outcome wins Its Polymarket account: Jarvisen You can build your own trading bot here: (A trial is available after signing up) Stats: > Trades per active hour: 680 > Average trade size: $9.11 > Win rate: 69% The main edge of this HFT algorithm comes from volatility harvesting: it alternates between accumulating Up and Down, building paired inventory with a combined cost below $1 while keeping a small directional skew toward the cheaper side

VALIX

22,562 просмотров • 14 дней назад

This guy made Grok Bot harvest BTC volatility and it made $2,701 a day The result is already +$40,522 PnL after 4,127 predictions while repeating the same setup 11 times every hour across BTC “Up or Down” markets Six AI agents work together as one algorithm: 1. They use BTC volatility to build Up + Down below 100¢ The bot does not need both outcomes at a good price simultaneously It can accumulate one side first and wait for BTC to move before buying the opposite side For example: Up at 34¢ + Down later at 58¢ = 92¢ total cost (8¢ locked on every complete set) 2. Inventory Rotation decides how much gets paired The system continuously compares both inventories: Paired = min(Qup, Qdown) Everything that can be matched becomes a complete set Any remaining imbalance stays directional only while the agents still see an edge This trader’s Polymarket account: AdanaKebab 4,127 predictions with a 52% win rate Most profitable trades: $759 → $2,880 (+$2,121) $1,121 → $3,120 (+$1,999) $1,441 → $3,420 (+$1,979) The system keeps rotating between directional exposure and paired inventory as BTC moves
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This guy made Grok Bot harvest BTC volatility and it made $2,701 a day The result is already +$40,522 PnL after 4,127 predictions while repeating the same setup 11 times every hour across BTC “Up or Down” markets Six AI agents work together as one algorithm: 1. They use BTC volatility to build Up + Down below 100¢ The bot does not need both outcomes at a good price simultaneously It can accumulate one side first and wait for BTC to move before buying the opposite side For example: Up at 34¢ + Down later at 58¢ = 92¢ total cost (8¢ locked on every complete set) 2. Inventory Rotation decides how much gets paired The system continuously compares both inventories: Paired = min(Qup, Qdown) Everything that can be matched becomes a complete set Any remaining imbalance stays directional only while the agents still see an edge This trader’s Polymarket account: AdanaKebab 4,127 predictions with a 52% win rate Most profitable trades: $759 → $2,880 (+$2,121) $1,121 → $3,120 (+$1,999) $1,441 → $3,420 (+$1,979) The system keeps rotating between directional exposure and paired inventory as BTC moves

Daniro

99,592 просмотров • 1 месяц назад

This guy used Grok Bot to build a Quant Temporal Arbitrage system and it made $874 a day on Polymarket The result is already +$50,666 PnL in 58 days with about $464 per market traded, repeating the same setup roughly 11 times every hour across BTC "Up or Down" markets Several AI agents work together as one algorithm: 1. The bot looks for short delays between BTC movement and market quotes BTC can move first while the corresponding Up or Down level takes a moment to react Latency Edge = Reference Probability - Market Quote If BTC implies 61% Up while Up is still at 56¢: Latency Edge = 5¢ The bot enters before that gap disappears 2. The position is closed once the market catches up The same BTC move that created the entry eventually gets reflected in Up or Down PnL = (Exit Quote - Entry Quote) × Shares - Fees For example: Entry = 56¢ Exit = 60¢ Edge captured = 4¢ per share So the bot enters during the short delay and exits once the repricing is complete This trader’s Polymarket account: Most profitable trades: $1,307 → $2,593 (+$1,286) $1,023 → $2,232 (+$1,209) $675 → $1,773 (+$1,098) The bot exploits short delays between BTC movement and Up or Down repricing
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This guy used Grok Bot to build a Quant Temporal Arbitrage system and it made $874 a day on Polymarket The result is already +$50,666 PnL in 58 days with about $464 per market traded, repeating the same setup roughly 11 times every hour across BTC "Up or Down" markets Several AI agents work together as one algorithm: 1. The bot looks for short delays between BTC movement and market quotes BTC can move first while the corresponding Up or Down level takes a moment to react Latency Edge = Reference Probability - Market Quote If BTC implies 61% Up while Up is still at 56¢: Latency Edge = 5¢ The bot enters before that gap disappears 2. The position is closed once the market catches up The same BTC move that created the entry eventually gets reflected in Up or Down PnL = (Exit Quote - Entry Quote) × Shares - Fees For example: Entry = 56¢ Exit = 60¢ Edge captured = 4¢ per share So the bot enters during the short delay and exits once the repricing is complete This trader’s Polymarket account: Most profitable trades: $1,307 → $2,593 (+$1,286) $1,023 → $2,232 (+$1,209) $675 → $1,773 (+$1,098) The bot exploits short delays between BTC movement and Up or Down repricing

Daniro

68,112 просмотров • 2 дней назад

HOLY SH*T, GROK BOT BUYS A DOLLAR FOR 99 CENTS ON POLYMARKET AND NEVER LOSE THE TRADE uses the simples arbitrage formula: buy ONLY when YES + NO SCANNER watches both books at once - btc on polymarket, btc on kalshi > MATCHER links the pair and proves it is the exact same bet. pm yes ≠ kal no, one event > QUANT runs the math - sum 0.99, gross 1.0%, net 0.6% after fees, $179 a leg > RISK checks the books are deep enough to actually fill both sides > GROK holds the stopline. nothing locks until it says raise the gate > RUNNER fires both legs in one move and locks the spread. watches. links. checks. locks. the part i am proudest of is not the locks. it is the skips. when the edge is not truly risk-free, RISK shuts the gate and the bot passes. 2 passes this session. discipline over forcing a trade. most bots do not have that button, and it is exactly why they bleed. $9.90 locked in 5 mins on a $14,739 book. small on purpose while i size it up. all risk-free, all hands-off, all while i was doing anything else. that dashboard above is the live run. every light on the bridge is a real agent. full build in the article below. bookmark this.
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HOLY SH*T, GROK BOT BUYS A DOLLAR FOR 99 CENTS ON POLYMARKET AND NEVER LOSE THE TRADE uses the simples arbitrage formula: buy ONLY when YES + NO SCANNER watches both books at once - btc on polymarket, btc on kalshi > MATCHER links the pair and proves it is the exact same bet. pm yes ≠ kal no, one event > QUANT runs the math - sum 0.99, gross 1.0%, net 0.6% after fees, $179 a leg > RISK checks the books are deep enough to actually fill both sides > GROK holds the stopline. nothing locks until it says raise the gate > RUNNER fires both legs in one move and locks the spread. watches. links. checks. locks. the part i am proudest of is not the locks. it is the skips. when the edge is not truly risk-free, RISK shuts the gate and the bot passes. 2 passes this session. discipline over forcing a trade. most bots do not have that button, and it is exactly why they bleed. $9.90 locked in 5 mins on a $14,739 book. small on purpose while i size it up. all risk-free, all hands-off, all while i was doing anything else. that dashboard above is the live run. every light on the bridge is a real agent. full build in the article below. bookmark this.

Oracle Boar

21,715 просмотров • 1 месяц назад

$15K in One Day. 288 Trades. 68.7% Win Rate. All From a Bot You Can Also Build Today. AI bot switched from 15-min to 5-min BTC markets. 3x more trades. 3x more profit. You're still placing one manual trade per day and losing. I've made the exact step-by-step guide to build this 5-min BTC Polymarket trading bot. Free for 24 hours. To get it: 1. Comment "BTC" 2. Like and Retweet 3. Follow me Himanshu Kumar (so i can DM you) The loop. Every 5 minutes: > Scans BTC price across exchanges > Detects CEX lag vs Polymarket odds > Enters directional position: up or down > $1,500-$5,000 per trade > Exits on resolution 15-min windows = 96 trades/day. 5-min windows = 288 trades/day. 3x speed unlocked. Started with $100K. Rank #832 globally. $124K today. $1M is math, not hope. 288 shots per day. 68.7% win rate. Do the math. 288 trades. 198 wins. 90 losses. Net positive every single day. You take one trade per day. Agonize over it for 45 minutes. Lose. Take a revenge trade. Lose again. Close your laptop. Blame the market. This bot took 288 trades today and felt nothing. It doesn't revenge trade. Doesn't overtrade. Doesn't panic. Doesn't sleep. By the time you open Polymarket and find a market, this bot already traded it 3 times and moved on. You're not slow. You're human. And humans can't compete with this. You Must Follow me Himanshu Kumar, so i can send you DM.
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$15K in One Day. 288 Trades. 68.7% Win Rate. All From a Bot You Can Also Build Today. AI bot switched from 15-min to 5-min BTC markets. 3x more trades. 3x more profit. You're still placing one manual trade per day and losing. I've made the exact step-by-step guide to build this 5-min BTC Polymarket trading bot. Free for 24 hours. To get it: 1. Comment "BTC" 2. Like and Retweet 3. Follow me Himanshu Kumar (so i can DM you) The loop. Every 5 minutes: > Scans BTC price across exchanges > Detects CEX lag vs Polymarket odds > Enters directional position: up or down > $1,500-$5,000 per trade > Exits on resolution 15-min windows = 96 trades/day. 5-min windows = 288 trades/day. 3x speed unlocked. Started with $100K. Rank #832 globally. $124K today. $1M is math, not hope. 288 shots per day. 68.7% win rate. Do the math. 288 trades. 198 wins. 90 losses. Net positive every single day. You take one trade per day. Agonize over it for 45 minutes. Lose. Take a revenge trade. Lose again. Close your laptop. Blame the market. This bot took 288 trades today and felt nothing. It doesn't revenge trade. Doesn't overtrade. Doesn't panic. Doesn't sleep. By the time you open Polymarket and find a market, this bot already traded it 3 times and moved on. You're not slow. You're human. And humans can't compete with this. You Must Follow me Himanshu Kumar, so i can send you DM.

Himanshu Kumar

18,112 просмотров • 6 месяцев назад

🚨 BREAKING… the top performing 5m & 15m Polymarket Claude setup is now fully open-source Sounds insane? 100%. Unreal? NOT at all. A modest wallet deployed a fully automated system that scaled up to roughly ~$1.8M in profit No affiliation with the Polymarket team Just a developer operating a bot directly connected to Polymarket Profile → Copytrade → Everything is fully automated His FULL strategy: 1. 5 & 15-minute BTC & ETH latency arbitrage The bot trades ultra-short Bitcoin and Ethereum markets with 5 & 15-minute expirations - and similar logic applies to fast 5m markets often associated with claude-style execution. When BTC moves on Binance, Polymarket pricing reacts slower. For around 30 seconds, odds reflect stale data. The system enters during that gap, when YES + NO combined is below $1, waits for repricing, and exits the moment the market corrects. No predictions, no bias - just harvesting mispriced odds 2. Automation over reaction When volatility spikes, humans pause. The system doesn’t. It triggers instantly when the window opens. No emotion, no hesitation, no missed fills. By the time manual traders click, the inefficiency has already disappeared 3. Scale through repetition Each trade earns small spreads, not headline wins. But automation allows continuous execution at scale, every 15 minutes - and on faster 5m rotations running 24/7 without burnout Scale is the edge 23,457 trades placed - irrelevant on their own. Together, they compounded into ~$1.8M in profit, with a largest single gain of $41,2K and an equity curve that trends almost vertically
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🚨 BREAKING… the top performing 5m & 15m Polymarket Claude setup is now fully open-source Sounds insane? 100%. Unreal? NOT at all. A modest wallet deployed a fully automated system that scaled up to roughly ~$1.8M in profit No affiliation with the Polymarket team Just a developer operating a bot directly connected to Polymarket Profile → Copytrade → Everything is fully automated His FULL strategy: 1. 5 & 15-minute BTC & ETH latency arbitrage The bot trades ultra-short Bitcoin and Ethereum markets with 5 & 15-minute expirations - and similar logic applies to fast 5m markets often associated with claude-style execution. When BTC moves on Binance, Polymarket pricing reacts slower. For around 30 seconds, odds reflect stale data. The system enters during that gap, when YES + NO combined is below $1, waits for repricing, and exits the moment the market corrects. No predictions, no bias - just harvesting mispriced odds 2. Automation over reaction When volatility spikes, humans pause. The system doesn’t. It triggers instantly when the window opens. No emotion, no hesitation, no missed fills. By the time manual traders click, the inefficiency has already disappeared 3. Scale through repetition Each trade earns small spreads, not headline wins. But automation allows continuous execution at scale, every 15 minutes - and on faster 5m rotations running 24/7 without burnout Scale is the edge 23,457 trades placed - irrelevant on their own. Together, they compounded into ~$1.8M in profit, with a largest single gain of $41,2K and an equity curve that trends almost vertically

Shelpid.WI3M

31,101 просмотров • 7 месяцев назад

This guy built an HFT algorithm and made +$249,869 on Polymarket His bot trades 5-minute BTC Up/Down markets using a hybrid of passive market making, complete-set accumulation, and directional residual: 1. It uses BTC price movements to build Up + Down positions for less than $1 After the first buy, it waits for the underlying asset to move and then starts accumulating the opposite side For example: > Up = 41c -> some time later Down = 54c > Up + Down = 95c -> 5c gross edge The average cost of its complete sets is 96.73c, which means the average structural edge is around 3.27c 2. It leaves a small directional residual Around 81% of its inventory in 5-minute markets consists of paired Up + Down positions. The remaining 19% stays directional If its fair-value model considers one side undervalued, it doesn’t have to fully hedge it and can keep additional exposure It’s Polymarket nickname: almach Stats: > Trades / active hour: 150 > Average trade: $33.50 > Win Rate: 49% Ultimately, the edge of this guy’s algorithm comes from buying Up and Down at different points during BTC price movements, then turning most of the inventory into complete sets that cost less than $1 It keeps a small remainder directional when it’s own fair probability still shows an edge
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This guy built an HFT algorithm and made +$249,869 on Polymarket His bot trades 5-minute BTC Up/Down markets using a hybrid of passive market making, complete-set accumulation, and directional residual: 1. It uses BTC price movements to build Up + Down positions for less than $1 After the first buy, it waits for the underlying asset to move and then starts accumulating the opposite side For example: > Up = 41c -> some time later Down = 54c > Up + Down = 95c -> 5c gross edge The average cost of its complete sets is 96.73c, which means the average structural edge is around 3.27c 2. It leaves a small directional residual Around 81% of its inventory in 5-minute markets consists of paired Up + Down positions. The remaining 19% stays directional If its fair-value model considers one side undervalued, it doesn’t have to fully hedge it and can keep additional exposure It’s Polymarket nickname: almach Stats: > Trades / active hour: 150 > Average trade: $33.50 > Win Rate: 49% Ultimately, the edge of this guy’s algorithm comes from buying Up and Down at different points during BTC price movements, then turning most of the inventory into complete sets that cost less than $1 It keeps a small remainder directional when it’s own fair probability still shows an edge

VALIX

46,302 просмотров • 1 месяц назад

This guy gave Grok Bot access to Polymarket and it made $2,484 a day The result is already +$250,904 PnL while averaging only $34 per trade and repeating the same Temporal Arb setup 27 times every hour across BTC "Up or Down" markets 6 AI agents work together as one algorithm: 1. They hunt for Up + Down 2¢ locked edge on every complete set 2. The model decides what to buy next and what to leave directional After every BTC move, the agents update fair probability through Bayes: P(A|B) = P(B|A) × P(A) / P(B) - If one side trades below its calculated probability, the bot adds it As the opposite side becomes attractive, it builds complete sets while keeping any remaining exposure directional only while the model still sees an edge This trader’s Polymarket account: almach Most profitable trades: $707 → $2,490 (+$1,782) $1,478 → $3,179 (+$1,701) $408 → $2,011 (+$1,602) The bot keeps repeating the same cycle by using short term BTC volatility to build complete sets below 100¢ while preserving directional exposure when its model still sees an edge
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This guy gave Grok Bot access to Polymarket and it made $2,484 a day The result is already +$250,904 PnL while averaging only $34 per trade and repeating the same Temporal Arb setup 27 times every hour across BTC "Up or Down" markets 6 AI agents work together as one algorithm: 1. They hunt for Up + Down 2¢ locked edge on every complete set 2. The model decides what to buy next and what to leave directional After every BTC move, the agents update fair probability through Bayes: P(A|B) = P(B|A) × P(A) / P(B) - If one side trades below its calculated probability, the bot adds it As the opposite side becomes attractive, it builds complete sets while keeping any remaining exposure directional only while the model still sees an edge This trader’s Polymarket account: almach Most profitable trades: $707 → $2,490 (+$1,782) $1,478 → $3,179 (+$1,701) $408 → $2,011 (+$1,602) The bot keeps repeating the same cycle by using short term BTC volatility to build complete sets below 100¢ while preserving directional exposure when its model still sees an edge

Daniro

24,221 просмотров • 1 месяц назад