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No way this should’ve worked. Dropped $20 into Claude. Left it running overnight. Woke up to: — full script built — +$87 from the first 4 fills Didn’t touch anything. Then I found this wallet: 0x04283f2fef49d70d8c55ab240450d17a65bf85b1 $330,988 profit 39,156 predictions $26,600 biggest win Copytrade Live since March 2026. Almost...

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Discover

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32,469 просмотров • 4 месяцев назад •via X (Twitter)

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It worked. Gave Claude $20. Left it coding overnight. Woke up to: • finished script • +$95 from first 5 trades Didn’t touch anything. Then I found this wallet: 0xb27b...b82 • $384,858 profit • 13,070 predictions • $18.5K biggest win • Started March 2026 Almost no one is watching it. While building my script, I copytraded it to test the math. Started with $80. → $4,218 in a few weeks Every position is identical in structure. Not trading. One equation. Running while you sleep. Examples: $17,839 → $36,318 (+103%) $3,112 → $15,011 (+382%) $10,676 → $22,178 (+107%) Here’s the exact framework I gave Claude: 1. Temporal bias Find BTC time windows with >65% edge. Ignore everything else. 2. Kelly sizing Size based on confidence. Never fixed bets. f* = (p × b − q) / b 3. Volatility filter Skip high volatility. Trade only clean conditions. 4. Bayesian updates Update probabilities after each trade. The system improves over time. Claude built everything while I slept. Funded it with $20. First trade fired minutes later. Copytrade my finds → You’re seeing this early. That window doesn’t stay open. You only need Claude + Device + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'CLAUDE' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)
0:30

It worked. Gave Claude $20. Left it coding overnight. Woke up to: • finished script • +$95 from first 5 trades Didn’t touch anything. Then I found this wallet: 0xb27b...b82 • $384,858 profit • 13,070 predictions • $18.5K biggest win • Started March 2026 Almost no one is watching it. While building my script, I copytraded it to test the math. Started with $80. → $4,218 in a few weeks Every position is identical in structure. Not trading. One equation. Running while you sleep. Examples: $17,839 → $36,318 (+103%) $3,112 → $15,011 (+382%) $10,676 → $22,178 (+107%) Here’s the exact framework I gave Claude: 1. Temporal bias Find BTC time windows with >65% edge. Ignore everything else. 2. Kelly sizing Size based on confidence. Never fixed bets. f* = (p × b − q) / b 3. Volatility filter Skip high volatility. Trade only clean conditions. 4. Bayesian updates Update probabilities after each trade. The system improves over time. Claude built everything while I slept. Funded it with $20. First trade fired minutes later. Copytrade my finds → You’re seeing this early. That window doesn’t stay open. You only need Claude + Device + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'CLAUDE' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)

Marry Evan

73,365 просмотров • 4 месяцев назад

This guy used Claude to build a Quant Bot and made +$589,139 on Polymarket. 25,388 predictions with a 63% win rate in 77 days. That comes out to roughly $7,651 in profit per day and almost 14 trades per hour. With $217K in deposits, he is now up 2.7x. About +271.5% ROI. The bot strategy is simple: It finds markets where the pricing is still off. Gets in before the odds fully catch up. Repeats the same setup again and again across many entries. The edge on each trade is small. But scale and repetition turn it into a massive result. Most profitable trades: $17,839 → $36,318 (+$18,478, +103.58%) $3,112 → $15,011 (+$11,898, +382.22%) $10,676 → $22,178 (+$11,502, +107.74%) What makes it work is not one huge trade. It is the same small advantage, applied fast, applied often, and repeated until the pricing gap is gone. I reverse-engineered it. Had Claude rebuild the same logic. One prompt. 90 minutes. Fully deployed. You only need: Claude + a device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word PROFIT 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you
0:26

This guy used Claude to build a Quant Bot and made +$589,139 on Polymarket. 25,388 predictions with a 63% win rate in 77 days. That comes out to roughly $7,651 in profit per day and almost 14 trades per hour. With $217K in deposits, he is now up 2.7x. About +271.5% ROI. The bot strategy is simple: It finds markets where the pricing is still off. Gets in before the odds fully catch up. Repeats the same setup again and again across many entries. The edge on each trade is small. But scale and repetition turn it into a massive result. Most profitable trades: $17,839 → $36,318 (+$18,478, +103.58%) $3,112 → $15,011 (+$11,898, +382.22%) $10,676 → $22,178 (+$11,502, +107.74%) What makes it work is not one huge trade. It is the same small advantage, applied fast, applied often, and repeated until the pricing gap is gone. I reverse-engineered it. Had Claude rebuild the same logic. One prompt. 90 minutes. Fully deployed. You only need: Claude + a device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word PROFIT 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you

Himanshu Kumar

85,774 просмотров • 3 месяцев назад

3 steps story. I gave Claude $40 and it made me $8,409 in a week on Polymarket I typed a prompt. Claude wrote the bot. I funded it. $40 in. $8,409 out. 7 days. Someone else did the same thing and turned it into $294,127 in 26 days. And the prompt I used is something I've never shared publicly. Until now. This bro is a great example of how MY system looks at a scale: Profile → 0x0006af12cd4dacc450836a0e1ec6ce47365d8c63 $294,127.72 all-time. 2,226 predictions. $14,800 biggest win. Joined March 2026. 26.9K views. Still mostly unwatched. While I was developing my own script I copytraded this AI to see how profitable this strategy is, made $520 from my $10 lol Copytrade here: And every single position is the same structure. "ETH Up or Down - March 7, 11:45AM" → $1,895 in → $16,695 out +780% "BTC Up or Down - March 21, 11:20PM" → $1,186 in → $11,919 out. +904% This isn't trading. It's one equation running on loop while you sleep. Here's exactly what I typed into Claude: The prompt had 4 instructions: 1. Map temporal bias windows "Analyze 24 months of BTC and ETH hourly data. Find which specific time windows have statistically significant directional bias above 65%. Ignore all other windows." The crowd prices every window as 50/50. They're not. Claude found the ones that aren't. 2. Build Kelly sizing "Size each position using fractional Kelly. Scale conviction to statistical confidence. Never flat-size. " f* = (p × b - q) / b That's why entries look random - $259, $886, $25,002. They're not random. They're mathematically weighted. 3. Add a volatility filter "Skip any window where 24h realized volatility exceeds 1.4x the 30-day average. Patterns break in chaos." The bot doesn't fire blindly. It waits for clean mathematical conditions. 4. Bayesian self-updating "After each settled trade, update win probability for that window. The model sharpens itself." Every loss makes the next trade smarter. Every win increases conviction. Claude wrote the entire execution script in 23 minutes. I funded it with $40. It placed its first trade 4 minutes later. $40 → $8,409. One week. The wallet above ran the same logic for 26 days → $294,127. This wallet had 26.9K views before this post. Tomorrow it'll have 10x that. The people who moved first always win. Always. FOLLOW while this is still a quiet room.
0:23

3 steps story. I gave Claude $40 and it made me $8,409 in a week on Polymarket I typed a prompt. Claude wrote the bot. I funded it. $40 in. $8,409 out. 7 days. Someone else did the same thing and turned it into $294,127 in 26 days. And the prompt I used is something I've never shared publicly. Until now. This bro is a great example of how MY system looks at a scale: Profile → 0x0006af12cd4dacc450836a0e1ec6ce47365d8c63 $294,127.72 all-time. 2,226 predictions. $14,800 biggest win. Joined March 2026. 26.9K views. Still mostly unwatched. While I was developing my own script I copytraded this AI to see how profitable this strategy is, made $520 from my $10 lol Copytrade here: And every single position is the same structure. "ETH Up or Down - March 7, 11:45AM" → $1,895 in → $16,695 out +780% "BTC Up or Down - March 21, 11:20PM" → $1,186 in → $11,919 out. +904% This isn't trading. It's one equation running on loop while you sleep. Here's exactly what I typed into Claude: The prompt had 4 instructions: 1. Map temporal bias windows "Analyze 24 months of BTC and ETH hourly data. Find which specific time windows have statistically significant directional bias above 65%. Ignore all other windows." The crowd prices every window as 50/50. They're not. Claude found the ones that aren't. 2. Build Kelly sizing "Size each position using fractional Kelly. Scale conviction to statistical confidence. Never flat-size. " f* = (p × b - q) / b That's why entries look random - $259, $886, $25,002. They're not random. They're mathematically weighted. 3. Add a volatility filter "Skip any window where 24h realized volatility exceeds 1.4x the 30-day average. Patterns break in chaos." The bot doesn't fire blindly. It waits for clean mathematical conditions. 4. Bayesian self-updating "After each settled trade, update win probability for that window. The model sharpens itself." Every loss makes the next trade smarter. Every win increases conviction. Claude wrote the entire execution script in 23 minutes. I funded it with $40. It placed its first trade 4 minutes later. $40 → $8,409. One week. The wallet above ran the same logic for 26 days → $294,127. This wallet had 26.9K views before this post. Tomorrow it'll have 10x that. The people who moved first always win. Always. FOLLOW while this is still a quiet room.

Frogify

19,971 просмотров • 5 месяцев назад

I spent a month building a Polymarket bot. And it does the opposite of everyone else. Most bots trade everything. Mine skips 80% of markets. No predictions. No guessing. No “BTC is going up” takes. Copy it: Just mispricing. YES at 48c NO at 45c Cost: 93c Payout: $1 → 7c locked in That’s it. But here’s where people get wrecked: They trade too much. So the bot filters everything: Base rate → compares odds vs 2y history Kelly → no edge = no trade Liquidity → low volume / wide spread = skip Out of 847 markets: Only 156 trades. Result? 71.4% win rate +$2,847 profit The edge isn’t predicting better. It’s trading less.
0:35

I spent a month building a Polymarket bot. And it does the opposite of everyone else. Most bots trade everything. Mine skips 80% of markets. No predictions. No guessing. No “BTC is going up” takes. Copy it: Just mispricing. YES at 48c NO at 45c Cost: 93c Payout: $1 → 7c locked in That’s it. But here’s where people get wrecked: They trade too much. So the bot filters everything: Base rate → compares odds vs 2y history Kelly → no edge = no trade Liquidity → low volume / wide spread = skip Out of 847 markets: Only 156 trades. Result? 71.4% win rate +$2,847 profit The edge isn’t predicting better. It’s trading less.

Discover

10,722 просмотров • 5 месяцев назад

I lost my job yesterday. Rent was due. No backup plan. Then I remembered I still had Claude. Asked it: “Analyze every top Polymarket wallet from the last 90 days and build me something” $25 → $4,237 in one night. It scanned 10,000 wallets. Cross-referenced win rates, sizing, timing. Found 7 traders whose edge wasn’t luck. Then built an autonomous agent. Not a script. Not an if-then bot. An agent that reads live news, maps it to markets, detects mispricing, and exploits arbitrage across outcomes. Sizes every position using Kelly. I deployed it at 11:47PM. Closed the laptop. Woke up to: $25 → $4,237 94 trades while I slept. No input. No hesitation. No second-guessing. That’s the game. Information asymmetry at machine speed. Wall Street pays millions for this. I pay $20/month. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'Claude' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)
0:23

I lost my job yesterday. Rent was due. No backup plan. Then I remembered I still had Claude. Asked it: “Analyze every top Polymarket wallet from the last 90 days and build me something” $25 → $4,237 in one night. It scanned 10,000 wallets. Cross-referenced win rates, sizing, timing. Found 7 traders whose edge wasn’t luck. Then built an autonomous agent. Not a script. Not an if-then bot. An agent that reads live news, maps it to markets, detects mispricing, and exploits arbitrage across outcomes. Sizes every position using Kelly. I deployed it at 11:47PM. Closed the laptop. Woke up to: $25 → $4,237 94 trades while I slept. No input. No hesitation. No second-guessing. That’s the game. Information asymmetry at machine speed. Wall Street pays millions for this. I pay $20/month. You only need Claude + laptop + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'Claude' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)

Marry Evan

73,162 просмотров • 1 месяц назад

THIS WALLET STACKED $230K ON BTC UP/DOWN BETS. THE BLUEPRINT TO AUTOMATE THE SAME EDGE WITH CLAUDE The wallet is $230K all-time, every position a Bitcoin or Ethereum Up or Down market It never guesses direction. It enters only when the math and the market disagree THE STRATEGY: BTC moves are not fully random. When the market enters a committed directional state, continuation is measurable. That is Markov persistence Entry signal: > Δ = p̂ − q ≥ ε Model probability minus market price. Enter only on a 5% gap or more Persistence filter: > p(j*,j*) ≥ 0.87 Only trade states with 0.87 persistence or higher. Below that, skip. This is what holds the win rate above 65% with zero directional guessing Payout: > r = (1 − q) / q At q = 0.647 that is +54.5% a win. At q = 0.441, +126.7%. Lower entry price, bigger asymmetry Sizing: > f* = p − (1−p)/b Kelly. At p = 0.87, b = 0.647, f* ≈ 0.71. Size to the edge, never to gut HOW TO BUILD IT WITH CLAUDE: What separates this from a static bot: Claude reads its own trade journal every night and rewrites its own thresholds 1. Take an open-source Polymarket bot repo as your base logic. Feed it to Claude and have it migrate to CLOB v2: py_clob_client_v2, Safe wallet support, fee-aware evaluation 2. Hard-code the filters. Enter only when Δ ≥ 0.05 and p(j*,j*) ≥ 0.87. Apply Kelly on every fill. 3. Run DRY_RUN first. Log every signal, entry price, Markov state, and simulated P/L. No real money until the numbers hold for days 4. The nightly loop. Claude reads the journal, finds which persistence states actually won, adjusts MIN_PROB and MIN_EDGE, ships tomorrow's rules. The agent is sharper after 50 to 100 trades THE SETUP: Claude Opus as the brain. An open-source repo as the starting logic. A Polygon wallet with $50 to $100. Telegram for the morning report Start at $1 to $2 per trade while it learns. Scale only when the dry runs and the live fills line up 17,000 trades compound a thin edge into six figures. The model finds the edge. The nightly loop keeps it sharp Bookmark before you point a bot at your first window
0:23

THIS WALLET STACKED $230K ON BTC UP/DOWN BETS. THE BLUEPRINT TO AUTOMATE THE SAME EDGE WITH CLAUDE The wallet is $230K all-time, every position a Bitcoin or Ethereum Up or Down market It never guesses direction. It enters only when the math and the market disagree THE STRATEGY: BTC moves are not fully random. When the market enters a committed directional state, continuation is measurable. That is Markov persistence Entry signal: > Δ = p̂ − q ≥ ε Model probability minus market price. Enter only on a 5% gap or more Persistence filter: > p(j*,j*) ≥ 0.87 Only trade states with 0.87 persistence or higher. Below that, skip. This is what holds the win rate above 65% with zero directional guessing Payout: > r = (1 − q) / q At q = 0.647 that is +54.5% a win. At q = 0.441, +126.7%. Lower entry price, bigger asymmetry Sizing: > f* = p − (1−p)/b Kelly. At p = 0.87, b = 0.647, f* ≈ 0.71. Size to the edge, never to gut HOW TO BUILD IT WITH CLAUDE: What separates this from a static bot: Claude reads its own trade journal every night and rewrites its own thresholds 1. Take an open-source Polymarket bot repo as your base logic. Feed it to Claude and have it migrate to CLOB v2: py_clob_client_v2, Safe wallet support, fee-aware evaluation 2. Hard-code the filters. Enter only when Δ ≥ 0.05 and p(j*,j*) ≥ 0.87. Apply Kelly on every fill. 3. Run DRY_RUN first. Log every signal, entry price, Markov state, and simulated P/L. No real money until the numbers hold for days 4. The nightly loop. Claude reads the journal, finds which persistence states actually won, adjusts MIN_PROB and MIN_EDGE, ships tomorrow's rules. The agent is sharper after 50 to 100 trades THE SETUP: Claude Opus as the brain. An open-source repo as the starting logic. A Polygon wallet with $50 to $100. Telegram for the morning report Start at $1 to $2 per trade while it learns. Scale only when the dry runs and the live fills line up 17,000 trades compound a thin edge into six figures. The model finds the edge. The nightly loop keeps it sharp Bookmark before you point a bot at your first window

Yarchi

22,966 просмотров • 3 месяцев назад

This bot started with tiny $5 orders - and somehow pulled in over $200,000 on the 5-minute market. In just one week, it’s already cleared more than +$212,578 And the biggest single win? Only $745. But the wild part isn’t the size of any one trade - it’s how those tiny positions stack up into such an aggressive profit curve. From the outside, it looks like it’s running three simple plays: - Uses $5 to grab 1¢ outcomes - Exits early before expiration to lock in profit - Scales up to $250 on 25¢–50¢ positions Then pushes further with $500 into 50¢ outcomes. So this doesn’t look like a typical “elite” trading bot squeezing every edge with precision. It feels more like something is off inside Polymarket - creating these exaggerated, almost unnatural returns. And yet, right now, this account sits at #2 in weekly crypto profits. If it’s really hitting profitable trades this consistently - that’s not just a bot. That’s basically a money printer.
0:23

This bot started with tiny $5 orders - and somehow pulled in over $200,000 on the 5-minute market. In just one week, it’s already cleared more than +$212,578 And the biggest single win? Only $745. But the wild part isn’t the size of any one trade - it’s how those tiny positions stack up into such an aggressive profit curve. From the outside, it looks like it’s running three simple plays: - Uses $5 to grab 1¢ outcomes - Exits early before expiration to lock in profit - Scales up to $250 on 25¢–50¢ positions Then pushes further with $500 into 50¢ outcomes. So this doesn’t look like a typical “elite” trading bot squeezing every edge with precision. It feels more like something is off inside Polymarket - creating these exaggerated, almost unnatural returns. And yet, right now, this account sits at #2 in weekly crypto profits. If it’s really hitting profitable trades this consistently - that’s not just a bot. That’s basically a money printer.

Dekos

19,543 просмотров • 4 месяцев назад

A quant in Shanghai pissed me off. Enough that I copied his bot and pulled +$2,200 out of it in 4 days. And the dumb part is he isn't doing anything clever. I found a wallet I couldn't look away from. At first I figured it was a broken bot, since it just repeats the same move nonstop. Only 5-minute BTC markets, 24,000 trades since March, and it's up around $75k in 4 months. For a solid 20 minutes I couldn't find the catch. It looked way too dumb to make that kind of money. So I ran it through Claude to reverse-engineer every trade, and then I saw what it does. It buys cheap BTC at 13, 19, 20 shares and sells at a dollar. The whole thing rides on the asset being underpriced for a moment. His Polymarket account is nobebot if you want to look it over yourself. And you know what gets me the most? This is dumber than every indicator, MACD, RSI, and oscillator setup the whole CT runs on. And it still works. The math is stupid simple. Buy at 15-20 cents, sell at a dollar, and that's +300-600% on a single trade. At those numbers you only need to be right on one trade out of four to stay green. Half his trades burn to zero, but over the long run the edge covers the losses.
0:32

A quant in Shanghai pissed me off. Enough that I copied his bot and pulled +$2,200 out of it in 4 days. And the dumb part is he isn't doing anything clever. I found a wallet I couldn't look away from. At first I figured it was a broken bot, since it just repeats the same move nonstop. Only 5-minute BTC markets, 24,000 trades since March, and it's up around $75k in 4 months. For a solid 20 minutes I couldn't find the catch. It looked way too dumb to make that kind of money. So I ran it through Claude to reverse-engineer every trade, and then I saw what it does. It buys cheap BTC at 13, 19, 20 shares and sells at a dollar. The whole thing rides on the asset being underpriced for a moment. His Polymarket account is nobebot if you want to look it over yourself. And you know what gets me the most? This is dumber than every indicator, MACD, RSI, and oscillator setup the whole CT runs on. And it still works. The math is stupid simple. Buy at 15-20 cents, sell at a dollar, and that's +300-600% on a single trade. At those numbers you only need to be right on one trade out of four to stay green. Half his trades burn to zero, but over the long run the edge covers the losses.

may.crypto {🦅}

15,266 просмотров • 2 месяцев назад

CLAUDE BUILT A TRADING SYSTEM ON MY MAC I gave Claude full control over my Mac and just left it running overnight No prompts, no detailed instructions – I just told it to figure out how to make money on Polymarket Then I closed the laptop and went to sleep In the morning, I opened my Mac and saw the terminal still running with logs constantly updating At first it looked like random activity, but once I scrolled through it, I realized it had actually built a structured system overnight It was already tracking wallets Ranking them by performance Filtering out the ones with random entries And focusing only on the ones with consistent behavior What surprised me the most is that it didn’t stop at analysis It organized everything into a working dashboard inside the terminal Capital, PnL, winrate – all updating in real time It even ranked wallets based on performance metrics like ROI, consistency, and execution timing This is the part I would normally spend hours building manually At that point, it was ready to trade, but not actually executing anything yet So I connected it to a Telegram copytrading bot to actually execute the trades, and just let it run Bot: Polymarket: After that, it started opening positions on its own A few hours later I checked the dashboard again Capital: $12,380 P&L: +$23,128 Winrate: 100% 48 trades executed Now I’m not even trading myself I just check the dashboard and see what it’s doing And the strange part is – it keeps getting better the longer it runs
0:24

CLAUDE BUILT A TRADING SYSTEM ON MY MAC I gave Claude full control over my Mac and just left it running overnight No prompts, no detailed instructions – I just told it to figure out how to make money on Polymarket Then I closed the laptop and went to sleep In the morning, I opened my Mac and saw the terminal still running with logs constantly updating At first it looked like random activity, but once I scrolled through it, I realized it had actually built a structured system overnight It was already tracking wallets Ranking them by performance Filtering out the ones with random entries And focusing only on the ones with consistent behavior What surprised me the most is that it didn’t stop at analysis It organized everything into a working dashboard inside the terminal Capital, PnL, winrate – all updating in real time It even ranked wallets based on performance metrics like ROI, consistency, and execution timing This is the part I would normally spend hours building manually At that point, it was ready to trade, but not actually executing anything yet So I connected it to a Telegram copytrading bot to actually execute the trades, and just let it run Bot: Polymarket: After that, it started opening positions on its own A few hours later I checked the dashboard again Capital: $12,380 P&L: +$23,128 Winrate: 100% 48 trades executed Now I’m not even trading myself I just check the dashboard and see what it’s doing And the strange part is – it keeps getting better the longer it runs

𝗖𝗛𝗔𝗜𝗡 𝗠𝗜𝗡𝗗 ⛓🧠

83,254 просмотров • 5 месяцев назад

This trader used Claude to build a Quant Bot and made +$38,385 on Polymarket Since May 11, this wallet has been averaging about $1,200 in profit per day while doing almost 15 trades per hour 11,859 predictions with a 53% win rate in 32 days This trader’s Polymarket account: He started with a $5.2K deposit and is now up roughly +733% ROI The bot strategy is simple: > it keeps targeting markets where the board is still behind the move > gets in before the odds fully catch up then reuses the same setup across a long stream of entries > one trade does not carry the result, the PnL comes from repeating the same small edge until it compounds Most profitable trades: $1,022 → $3,993 (+$2,971, +290.65%) $36 → $2,358 (+$2,322, +6,416.77%) $16 → $2,327 (+$2,310, +13,672.04%) What stands out here is not one lucky trade It is a repeatable short-window process that keeps turning delayed pricing into steady profit
0:25

This trader used Claude to build a Quant Bot and made +$38,385 on Polymarket Since May 11, this wallet has been averaging about $1,200 in profit per day while doing almost 15 trades per hour 11,859 predictions with a 53% win rate in 32 days This trader’s Polymarket account: He started with a $5.2K deposit and is now up roughly +733% ROI The bot strategy is simple: > it keeps targeting markets where the board is still behind the move > gets in before the odds fully catch up then reuses the same setup across a long stream of entries > one trade does not carry the result, the PnL comes from repeating the same small edge until it compounds Most profitable trades: $1,022 → $3,993 (+$2,971, +290.65%) $36 → $2,358 (+$2,322, +6,416.77%) $16 → $2,327 (+$2,310, +13,672.04%) What stands out here is not one lucky trade It is a repeatable short-window process that keeps turning delayed pricing into steady profit

Daniro

42,475 просмотров • 3 месяцев назад

AWS just sent me a $47 bill. I hadn’t used it in 8 months. Logged in to shut everything down… Found one tiny EC2 instance still running. Micro. $0.0058/hour. I was about to terminate it. Then I checked the logs. A bot. Running 24/7 since February. Connected to Binance + a prediction market API. Executing trades every ~3 minutes. I pulled the wallet from the config: $339,140 profit. 38,945 trades. ~800 trades/day. → Copytrade: What it does is stupidly simple: • Reads BTC price from Binance • Compares with lagging prediction market price • Buys the outdated price • Collects ~$1 per trade • Repeats The entire code: 26 lines of Python. No comments. No README. Just execution. Total profit: $339K Server cost: $47/month ROI on the server alone: 721,000%+ Checked SSH logs. One login. Vietnam IP. February. They didn’t steal anything. Didn’t mine crypto. Just deployed a script… and left. I didn’t shut it down. Changed the password. Sat there reading logs for 2 hours. The bot is still running. Wallet still active. $113K currently in open positions. My forgotten $47 AWS server turned into the most profitable bill I never meant to pay.
1:03

AWS just sent me a $47 bill. I hadn’t used it in 8 months. Logged in to shut everything down… Found one tiny EC2 instance still running. Micro. $0.0058/hour. I was about to terminate it. Then I checked the logs. A bot. Running 24/7 since February. Connected to Binance + a prediction market API. Executing trades every ~3 minutes. I pulled the wallet from the config: $339,140 profit. 38,945 trades. ~800 trades/day. → Copytrade: What it does is stupidly simple: • Reads BTC price from Binance • Compares with lagging prediction market price • Buys the outdated price • Collects ~$1 per trade • Repeats The entire code: 26 lines of Python. No comments. No README. Just execution. Total profit: $339K Server cost: $47/month ROI on the server alone: 721,000%+ Checked SSH logs. One login. Vietnam IP. February. They didn’t steal anything. Didn’t mine crypto. Just deployed a script… and left. I didn’t shut it down. Changed the password. Sat there reading logs for 2 hours. The bot is still running. Wallet still active. $113K currently in open positions. My forgotten $47 AWS server turned into the most profitable bill I never meant to pay.

Phantom_Defi

11,066 просмотров • 6 месяцев назад

I used to stare at the hourly chart, trying to predict what would happen next—reacting, hesitating, and chasing moves I didn’t fully understand. Everything changed when I stopped relying on instinct and started treating each hour like a repeatable decision process. That showed me where the momentum was going: red or green, normal range, small doji, or large expansion. Everything truly shifted when I heard the idea of treating each hour as its own trade framework, and later when quarter logic was introduced—that was the spark. Credit where it’s due: Daye planted the seed of quarters I might not use them exactly the way he do but they are powerful for sure. With multiple TBIs injuries from the Army, I can’t trade off instinct or emotion or theory. I need structure—the same sequence, the same logic, the same decision points. That limitation forced discipline and eventually became a strength. My core rule: I don’t assume anything. I make the market prove it to me through what it has consistently done in the past via probabilities, then build a framework I can make decisions with and manage risk around—even if it isn’t an exact copy of whoever introduced the idea. So my team and I built software that analyzes each hour using data from the last 80,000+ hours of market behavior to ensure the framework is built on statistical truth. Now every hour, I’m not predicting—I’m identifying the exact probabilities behind the next likely move and executing the matching playbook. Same questions. Same rules. Same execution. And the wild part? It also works on the 3-hour chart using line structure vs. apex behavior—but that’s a lesson for another day. Free indicator in the comments. Enjoy Retweet if you go a ah ha moment in it Austin Clark
10:27

I used to stare at the hourly chart, trying to predict what would happen next—reacting, hesitating, and chasing moves I didn’t fully understand. Everything changed when I stopped relying on instinct and started treating each hour like a repeatable decision process. That showed me where the momentum was going: red or green, normal range, small doji, or large expansion. Everything truly shifted when I heard the idea of treating each hour as its own trade framework, and later when quarter logic was introduced—that was the spark. Credit where it’s due: Daye planted the seed of quarters I might not use them exactly the way he do but they are powerful for sure. With multiple TBIs injuries from the Army, I can’t trade off instinct or emotion or theory. I need structure—the same sequence, the same logic, the same decision points. That limitation forced discipline and eventually became a strength. My core rule: I don’t assume anything. I make the market prove it to me through what it has consistently done in the past via probabilities, then build a framework I can make decisions with and manage risk around—even if it isn’t an exact copy of whoever introduced the idea. So my team and I built software that analyzes each hour using data from the last 80,000+ hours of market behavior to ensure the framework is built on statistical truth. Now every hour, I’m not predicting—I’m identifying the exact probabilities behind the next likely move and executing the matching playbook. Same questions. Same rules. Same execution. And the wild part? It also works on the 3-hour chart using line structure vs. apex behavior—but that’s a lesson for another day. Free indicator in the comments. Enjoy Retweet if you go a ah ha moment in it Austin Clark

The Daily Profiler

27,535 просмотров • 9 месяцев назад

$50 to $280K in just three weeks not a single red trade this wallet didn’t even exist in November. Today, it’s quietly printing $22K a day, fully automated, while most people are still debating narratives. PurpleThunderBicycleMountain appeared on December 6 with a zero balance and a system ready to go. No warm up. No trial phase. Straight into execution. three weeks later, the account is running a relentless strategy built around one thing only Bitcoin 15-minute windows on Polymarket. Up or Down. That’s it. No politics. No alts. No side quests. i tracked over fifty consecutive trades looking for variation. there wasn’t any same logic every time spot BTC moves first on Binance polymarket windows lag for 30–90 seconds. he buys the outcome that’s already decided, then exits the moment probabilities snap back to reality what really stands out is the scale. over $45M in volume pushed through a single market type in three weeks from a brand new wallet this isn’t experimentation this is deployment. the equity curve looks unreal a near perfect line up green tile after green tile until the balance reads $280K the edge still exists the script is still running the only question left is how long the lag survives before this window finally closes like every other edge eventually does
0:22

$50 to $280K in just three weeks not a single red trade this wallet didn’t even exist in November. Today, it’s quietly printing $22K a day, fully automated, while most people are still debating narratives. PurpleThunderBicycleMountain appeared on December 6 with a zero balance and a system ready to go. No warm up. No trial phase. Straight into execution. three weeks later, the account is running a relentless strategy built around one thing only Bitcoin 15-minute windows on Polymarket. Up or Down. That’s it. No politics. No alts. No side quests. i tracked over fifty consecutive trades looking for variation. there wasn’t any same logic every time spot BTC moves first on Binance polymarket windows lag for 30–90 seconds. he buys the outcome that’s already decided, then exits the moment probabilities snap back to reality what really stands out is the scale. over $45M in volume pushed through a single market type in three weeks from a brand new wallet this isn’t experimentation this is deployment. the equity curve looks unreal a near perfect line up green tile after green tile until the balance reads $280K the edge still exists the script is still running the only question left is how long the lag survives before this window finally closes like every other edge eventually does

Nitesh (prediction arc)

150,690 просмотров • 8 месяцев назад

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

359,479 просмотров • 7 дней назад

With $5M+ in prop firm payouts, Okala shares his view on trading most traders might not agree with: There is no “max trades per day” rule. “If you’re hot… step on the gas.” That’s how he approaches the market. Because in his view, the market doesn’t reward restraint… It rewards timing and execution. But here’s where it gets uncomfortable: Most traders aren’t losing because they trade too much… They’re losing because they trade the same way, when conditions completely change. They press when the market is dead. They force when structure disappears. They keep clicking… just to feel in control. That’s not trading. That’s reacting. And that’s where overtrading actually lives. Not in the number of trades… But in the inability to step back when your edge is no longer there. So maybe the question isn’t: “How many trades should you take?” It’s: Can you recognise when you’re in sync with the market… and when you’re not? Because one makes you money. The other gives it all back. Do you agree with this approach… or not? Watch the full episode — and see exactly how he executes (Live). 👇
1:24

With $5M+ in prop firm payouts, Okala shares his view on trading most traders might not agree with: There is no “max trades per day” rule. “If you’re hot… step on the gas.” That’s how he approaches the market. Because in his view, the market doesn’t reward restraint… It rewards timing and execution. But here’s where it gets uncomfortable: Most traders aren’t losing because they trade too much… They’re losing because they trade the same way, when conditions completely change. They press when the market is dead. They force when structure disappears. They keep clicking… just to feel in control. That’s not trading. That’s reacting. And that’s where overtrading actually lives. Not in the number of trades… But in the inability to step back when your edge is no longer there. So maybe the question isn’t: “How many trades should you take?” It’s: Can you recognise when you’re in sync with the market… and when you’re not? Because one makes you money. The other gives it all back. Do you agree with this approach… or not? Watch the full episode — and see exactly how he executes (Live). 👇

chartfanatics

12,341 просмотров • 4 месяцев назад

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$98.40) > in 5 hours it showed +$493 PnL > current balance: +$3,279.73 Cost: 7.5M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below.
0:39

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$98.40) > in 5 hours it showed +$493 PnL > current balance: +$3,279.73 Cost: 7.5M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below.

Oracle Boar

78,062 просмотров • 29 дней назад

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$96.31) > in 5 hours it showed +$579 PnL > current balance: +$3,799.73 Cost: 10M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below. Good luck!
0:41

I asked Claude Fable 5 (Extra High) to build an arb bot for Polymarket. One rule: trade only when YES + NO in 2 hours it almost doubled it (+$96.31) > in 5 hours it showed +$579 PnL > current balance: +$3,799.73 Cost: 10M tokens. Here's how it works and why: Every BTC Up/Down market on Polymarket has exactly two outcomes. YES and NO. When the market resolves, one pays $1. The other pays $0. That means owning BOTH sides should always cost exactly $1. But markets aren't perfect. Sometimes YES trades at $0.48 while NO trades at $0.49. Together that's only $0.97 so the bot instantly buys both. A position worth $1... for just $0.97. And Claude knows it, this is the simplest arb that exists. You can paste this to it and use this logic in your prompt. This $0.03 difference is locked in regardless of whether Bitcoin pumps, dumps, or goes sideways. No prediction required. And difficult part isn't finding the opportunity, it's execution. These pricing gaps usually disappear in seconds. If one order fills but the other doesn't, the trade can become a loss. So my bot constantly scans every BTC market, checks fees, validates liquidity, places both orders almost simultaneously and skips what isn't worth the risk. It's less like trading and more like catching tiny accounting mistakes before everyone else notices them. Funny enoughh, the hardest part was not writing arb logic. It was making the execution reliable enough that free money actually stayed free. This completely changed how I think about trading. What's the point of it if you can just fill mispriced BTC markets?? Automatically. The biggest edge is getting AI to execute simple ideas faster and more consistently than any human ever could. Shared the exact build in my last article, leaving it below. Good luck!

Oracle Boar

155,656 просмотров • 2 месяцев назад

A trader reportedly turned $200 into nearly $700K in 48 hours with a Claude-powered system almost nobody understands yet. No indicators. No influencers. No guessing. The bot runs thousands of simulations before it even touches a trade. That’s why this market is changing fast. Most traders still stare at candles hoping for a setup… while others are already running probability models against the market before price even moves. Copy: One guy copied the framework and reportedly made ~$19K in a few weeks. The scary part? The edge is no longer prediction. It’s whoever processes probabilities faster than everyone else.
0:38

A trader reportedly turned $200 into nearly $700K in 48 hours with a Claude-powered system almost nobody understands yet. No indicators. No influencers. No guessing. The bot runs thousands of simulations before it even touches a trade. That’s why this market is changing fast. Most traders still stare at candles hoping for a setup… while others are already running probability models against the market before price even moves. Copy: One guy copied the framework and reportedly made ~$19K in a few weeks. The scary part? The edge is no longer prediction. It’s whoever processes probabilities faster than everyone else.

Phantom_Defi

17,127 просмотров • 3 месяцев назад

➤ I almost quit trading. ➤ Not just because I was losing… but because I wasn’t getting the same value other traders were getting. ➤ It felt like I was doing everything right, but still falling behind. ➤ Then I realized something: ➤ Most traders aren’t just making money from trades… they’re earning from their activity. ➤ Every trade. Every referral. Every bit of volume, it all adds up. ➤ That’s exactly what’s happening on Yetch ➤ So how do traders really win in 2026? ➤ They stop relying only on profits… and start earning while they trade. ➤ Yetch is a trading terminal that gives back up to 20% of its profits to active users. ➤ While most platforms quietly take from you with fees, this one rewards you for showing up. ➤ And if you don’t have time to trade yourself, there’s a sniper bot that can execute opportunities for you. ➤ That’s when i realized it. ➤ This isn’t just trading anymore. ➤ This might be a goldmine. ➤ Let’s dig deeper. 🧵
1:57

➤ I almost quit trading. ➤ Not just because I was losing… but because I wasn’t getting the same value other traders were getting. ➤ It felt like I was doing everything right, but still falling behind. ➤ Then I realized something: ➤ Most traders aren’t just making money from trades… they’re earning from their activity. ➤ Every trade. Every referral. Every bit of volume, it all adds up. ➤ That’s exactly what’s happening on Yetch ➤ So how do traders really win in 2026? ➤ They stop relying only on profits… and start earning while they trade. ➤ Yetch is a trading terminal that gives back up to 20% of its profits to active users. ➤ While most platforms quietly take from you with fees, this one rewards you for showing up. ➤ And if you don’t have time to trade yourself, there’s a sniper bot that can execute opportunities for you. ➤ That’s when i realized it. ➤ This isn’t just trading anymore. ➤ This might be a goldmine. ➤ Let’s dig deeper. 🧵

0xJedi | Legion

12,449 просмотров • 5 месяцев назад

THIS GUY SPENT 5 MINUTES SETTING UP A $20 CLAUDE WORKSPACE AND TURNED 30 MINUTES OF DAILY PROMPT CHAOS INTO A SYSTEM Most people open Claude, type 1 messy prompt, rewrite it 10 times, get the same generic answer and call the model “bad.” He opens Claude Cowork, adds the project rules, past context, working files, examples, decisions and a clean place for the model to remember what it is doing. Same Claude. Same $20 tool. Completely different output. The funny part is there is no magic prompt here. No secret template. No “10x Claude” trick. Just the boring layer Karpathy keeps pointing at: context, memory and structure before output. A setup like this can save 30 minutes a day, which is 15 hours a month. If you use Claude for client work at $50 to $100/hour, that is $750 to $1,500/month in time you stop burning on repeated prompts. The model is real. The output is real. The edge is in not making Claude start from zero every single time.
0:37

THIS GUY SPENT 5 MINUTES SETTING UP A $20 CLAUDE WORKSPACE AND TURNED 30 MINUTES OF DAILY PROMPT CHAOS INTO A SYSTEM Most people open Claude, type 1 messy prompt, rewrite it 10 times, get the same generic answer and call the model “bad.” He opens Claude Cowork, adds the project rules, past context, working files, examples, decisions and a clean place for the model to remember what it is doing. Same Claude. Same $20 tool. Completely different output. The funny part is there is no magic prompt here. No secret template. No “10x Claude” trick. Just the boring layer Karpathy keeps pointing at: context, memory and structure before output. A setup like this can save 30 minutes a day, which is 15 hours a month. If you use Claude for client work at $50 to $100/hour, that is $750 to $1,500/month in time you stop burning on repeated prompts. The model is real. The output is real. The edge is in not making Claude start from zero every single time.

Gipp 🦅

14,871 просмотров • 3 месяцев назад