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Claude read one article about trading bots, selected 7 GitHub repos, connected them into a pipeline and deployed the whole system. It made $847 overnight. → Scanned over 412,000 trades autonomously → Tracked whale wallets and detected insider activity → Analyzed data every few seconds and decided whether to... show more

0xMarioNawfal

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62,802 просмотров • 24 дней назад •via X (Twitter)

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$25 → $12,582 Overnight. I Told Claude to Scan Every Polymarket Wallet While I Slept. Woke Up to the Terminal Still Running. 87% of Polymarket is exit liquidity. You're it. My 6 Claude agents aren't. I have full step-by-step guide to replicate this entire Claude scanning + copy trading setup. Claude connected GitHub repos to run all three: > poly_data: scanned every wallet and entry price > polyterm: whale tracking and insider detection > py-clob: placed the orders 7 wallets copied. 204 trades. $25 seed. Or use ready copy trading bot 6 agents running right now: > sigma_decay: 78% conviction > darkpool_7: 87% conviction > velvet_void: 85% conviction > profitprinter: 54% conviction Equity curve: $25 to $$12,582. No meaningful dip. Sharpe 2.09. You're looking at Polymarket with your eyes. Claude is looking at it with thousands of wallets of data, GitHub repos, and pattern recognition running in parallel while you sleep.

$25 → $12,582 Overnight. I Told Claude to Scan Every Polymarket Wallet While I Slept. Woke Up to the Terminal Still Running. 87% of Polymarket is exit liquidity. You're it. My 6 Claude agents aren't. I have full step-by-step guide to replicate this entire Claude scanning + copy trading setup. Claude connected GitHub repos to run all three: > poly_data: scanned every wallet and entry price > polyterm: whale tracking and insider detection > py-clob: placed the orders 7 wallets copied. 204 trades. $25 seed. Or use ready copy trading bot 6 agents running right now: > sigma_decay: 78% conviction > darkpool_7: 87% conviction > velvet_void: 85% conviction > profitprinter: 54% conviction Equity curve: $25 to $$12,582. No meaningful dip. Sharpe 2.09. You're looking at Polymarket with your eyes. Claude is looking at it with thousands of wallets of data, GitHub repos, and pattern recognition running in parallel while you sleep.

Aleiah

79,503 просмотров • 4 месяцев назад

i told Claude to scan every Polymarket wallet and GitHub repo woke up to +$3,582. the terminal was still running on my screen. it analyzed thousands of wallets overnight. most of them bleed money. but 340 had something different - asymmetric payouts. entering at 27 cents. exiting at 91. losing 27 cents when wrong. winning 64 when right. you only need to be right 1 in 4 times. they were right half. Claude found 3 patterns: category specialists - one wallet: 91% wr on crypto. 14% on politics. total looks average. filter to crypto only - top performer. speed arbitrage - 47 wallets entering 3-8 seconds after Binance moved. before Polymarket updated. not predicting. just faster. near-zero accumulation - buying at 2-8 cents weeks before resolution. $8 in, $200 out. hundreds of times. it connected GitHub repos to run all three: > poly_data - scanned every wallet and entry price. > polyterm - whale tracking and insider detection. > py-clob - placed the orders. 7 wallets copied. 204 trades. $25 seed. +$3,582. 6 agents running: > sigma_decay - 78% conviction > darkpool_7 - 87% > velvet_void - 85% > profitprinter - 54% the equity curve tells the whole story. $25 to $3,582 without a single dip worth mentioning. sharpe 2.09. copytrade here: 87% of Polymarket is exit liquidity. the question is which side you're on.

i told Claude to scan every Polymarket wallet and GitHub repo woke up to +$3,582. the terminal was still running on my screen. it analyzed thousands of wallets overnight. most of them bleed money. but 340 had something different - asymmetric payouts. entering at 27 cents. exiting at 91. losing 27 cents when wrong. winning 64 when right. you only need to be right 1 in 4 times. they were right half. Claude found 3 patterns: category specialists - one wallet: 91% wr on crypto. 14% on politics. total looks average. filter to crypto only - top performer. speed arbitrage - 47 wallets entering 3-8 seconds after Binance moved. before Polymarket updated. not predicting. just faster. near-zero accumulation - buying at 2-8 cents weeks before resolution. $8 in, $200 out. hundreds of times. it connected GitHub repos to run all three: > poly_data - scanned every wallet and entry price. > polyterm - whale tracking and insider detection. > py-clob - placed the orders. 7 wallets copied. 204 trades. $25 seed. +$3,582. 6 agents running: > sigma_decay - 78% conviction > darkpool_7 - 87% > velvet_void - 85% > profitprinter - 54% the equity curve tells the whole story. $25 to $3,582 without a single dip worth mentioning. sharpe 2.09. copytrade here: 87% of Polymarket is exit liquidity. the question is which side you're on.

Hanako

252,473 просмотров • 5 месяцев назад

I pointed Grok Bot at one article about overnight bots and gave it $200 plus a kill line: earn or the process dies Grok Bot read it, pulled 7 public GitHub repos, wired them into a pipeline, and got one sentence from me: earn or the process dies. $200 in the wallet. nobody tops it up the pipeline did not pick tickers off the timeline. It opened Fomo, I register (as grok bot said) - scanned the tape, and locked on Aurelius0121 $4.85M on the book. +$1.19M in 24h. 3.2k trades. 1d 18h average hold. biggest prints still public: +$2.38M, AMC +$1.16M, +$785k from there it ran without me every few seconds it: > reads his last fills, not a call > checks size against the leftover wallet > copies the same side smaller > skips anything already cooked > holds toward his 42-hour clock > writes the fill or passes if the wallet hits $0 the box dies with it 47 fills later the small account was +$870. his book is still $4.85M. the bot inherited the hold, not the bankroll Grok is one layer. The repos, the Fomo desk and the kill switch sit around it. a normal chat goes quiet when the tab closes. this one still had a job

I pointed Grok Bot at one article about overnight bots and gave it $200 plus a kill line: earn or the process dies Grok Bot read it, pulled 7 public GitHub repos, wired them into a pipeline, and got one sentence from me: earn or the process dies. $200 in the wallet. nobody tops it up the pipeline did not pick tickers off the timeline. It opened Fomo, I register (as grok bot said) - scanned the tape, and locked on Aurelius0121 $4.85M on the book. +$1.19M in 24h. 3.2k trades. 1d 18h average hold. biggest prints still public: +$2.38M, AMC +$1.16M, +$785k from there it ran without me every few seconds it: > reads his last fills, not a call > checks size against the leftover wallet > copies the same side smaller > skips anything already cooked > holds toward his 42-hour clock > writes the fill or passes if the wallet hits $0 the box dies with it 47 fills later the small account was +$870. his book is still $4.85M. the bot inherited the hold, not the bankroll Grok is one layer. The repos, the Fomo desk and the kill switch sit around it. a normal chat goes quiet when the tab closes. this one still had a job

morph

10,278 просмотров • 2 дней назад

Claude will replace manual traders in 2026. New update lets you give it full control of your computer. That's why I decided to test it with $100 and total access. Asked to turn it into $1,000 on Polymarket or I shut it down. 3 hours later it was scanning every wallet on Polymarket for copy trading opportunities. It found best wallets and started testing them through this bot: At first, it lost $73 trying each wallet to understand which ones were profitable. Then it picked 7 wallets, executed copy trades automatically and did something i don't believe even now. $3,467 profit in 24 hours. Automatically. With no monitoring. What’s insane is how it works: • Claude monitors hundreds of wallets 24/7 • Evaluates win rates, market timing and sizing • Tests micro trades to find the best strategy • Executes automatically with AL and TP rules This is why AI is mandatory in 2026. Markets move faster than humans, I've been telling it for months. Your edge is speed, analysis, and execution. Anyone still clicking buttons manually will lose edge within months. I just reinvested the profits and let Claude keep copy trading. This is the future. Manual trading is probably dead FOREVER.

Claude will replace manual traders in 2026. New update lets you give it full control of your computer. That's why I decided to test it with $100 and total access. Asked to turn it into $1,000 on Polymarket or I shut it down. 3 hours later it was scanning every wallet on Polymarket for copy trading opportunities. It found best wallets and started testing them through this bot: At first, it lost $73 trying each wallet to understand which ones were profitable. Then it picked 7 wallets, executed copy trades automatically and did something i don't believe even now. $3,467 profit in 24 hours. Automatically. With no monitoring. What’s insane is how it works: • Claude monitors hundreds of wallets 24/7 • Evaluates win rates, market timing and sizing • Tests micro trades to find the best strategy • Executes automatically with AL and TP rules This is why AI is mandatory in 2026. Markets move faster than humans, I've been telling it for months. Your edge is speed, analysis, and execution. Anyone still clicking buttons manually will lose edge within months. I just reinvested the profits and let Claude keep copy trading. This is the future. Manual trading is probably dead FOREVER.

Oracle Boar

66,427 просмотров • 5 месяцев назад

$My dad called Claude a toy for people who can't trade. He's been trading for 20 years. I didn't argue. I just turned the monitor toward him. He read the results twice. That can't be right. 27 days. $200 → $25,400. 74% win rate. Sharpe 2.47. While 92% of traders lose money, a tiny fraction quietly extracts millions. Then I showed him why. 86M+ Polymarket trades analyzed. Every wallet. Every entry. Every exit. One Claude prompt: Find every wallet with 100+ trades and a win rate above 70%. Rank them by profit. 14,000 wallets scanned. 47 elite wallets found. The top 20 earned more than the other 13,000 combined. He looked at me and said: That's not data. That's a treasure map. But that wasn't the real edge. Three independent AI agents vote on every trade. ✅ 2 agree → Full position ⚠️ 1 agrees → Half position ❌ No consensus → No trade That one rule eliminated nearly 40% of losing trades. Another AI watches for fresh smart wallets entering low-liquidity markets before everyone else notices. One wallet grew $35K into $442K. 73 live dashboards handle everything: → Whale tracking → Insider detection → Wallet clustering → Signal scoring → Arbitrage opportunities → Smart money monitoring No emotions. No guessing. Just data and execution. Then he asked: How much does this cost? About $25/month. Silence. I've been paying analysts six figures to do half of this. The crazy part? The tools are public. Most people still think AI is just for writing emails. Meanwhile, others are quietly using it to build an edge. 🎁 I'm putting together the exact AI trading stack, prompts, and workflow behind this. Like + Repost + Comment "Claude" and I'll DM it to you. Make sure to follow me Himanshu Kumar ( so i can send you DM)$

My dad called Claude a toy for people who can't trade. He's been trading for 20 years. I didn't argue. I just turned the monitor toward him. He read the results twice. That can't be right. 27 days. $200 → $25,400. 74% win rate. Sharpe 2.47. While 92% of traders lose money, a tiny fraction quietly extracts millions. Then I showed him why. 86M+ Polymarket trades analyzed. Every wallet. Every entry. Every exit. One Claude prompt: Find every wallet with 100+ trades and a win rate above 70%. Rank them by profit. 14,000 wallets scanned. 47 elite wallets found. The top 20 earned more than the other 13,000 combined. He looked at me and said: That's not data. That's a treasure map. But that wasn't the real edge. Three independent AI agents vote on every trade. ✅ 2 agree → Full position ⚠️ 1 agrees → Half position ❌ No consensus → No trade That one rule eliminated nearly 40% of losing trades. Another AI watches for fresh smart wallets entering low-liquidity markets before everyone else notices. One wallet grew $35K into $442K. 73 live dashboards handle everything: → Whale tracking → Insider detection → Wallet clustering → Signal scoring → Arbitrage opportunities → Smart money monitoring No emotions. No guessing. Just data and execution. Then he asked: How much does this cost? About $25/month. Silence. I've been paying analysts six figures to do half of this. The crazy part? The tools are public. Most people still think AI is just for writing emails. Meanwhile, others are quietly using it to build an edge. 🎁 I'm putting together the exact AI trading stack, prompts, and workflow behind this. Like + Repost + Comment "Claude" and I'll DM it to you. Make sure to follow me Himanshu Kumar ( so i can send you DM)

Himanshu Kumar

149,683 просмотров • 1 месяц назад

CLAUDE MADE ME 3 TRADING BOTS IN 15 MINUTES +$2,503 in my wallet the next day, I quit my job that same day. I wrote one prompt and answered a few questions. Claude took three strategies - MACD, RSI + VWAP, CVD divergence. Assigned each bot its own. The first one catches momentum - sees when volume picks up and gets in before the crowd wakes up. The second one trades reversals - waits for everyone to panic and bets against them. The third one scans divergences - when price says one thing but money does another, it follows the money. Built the structure itself, wrote the backtest, ran each strategy on historical data, set up the risk manager, deployed - all on its own. Three bots, three accounts, each trades differently - they don't know about each other. Started with $1, then $5, then $10, then $50, then $2,503 in a day. Citadel, Jane Street, Two Sigma have been trading with bots for years - they don't feel fear, greed, or FOMO - they only listen to algorithms. The market rewards systems.

CLAUDE MADE ME 3 TRADING BOTS IN 15 MINUTES +$2,503 in my wallet the next day, I quit my job that same day. I wrote one prompt and answered a few questions. Claude took three strategies - MACD, RSI + VWAP, CVD divergence. Assigned each bot its own. The first one catches momentum - sees when volume picks up and gets in before the crowd wakes up. The second one trades reversals - waits for everyone to panic and bets against them. The third one scans divergences - when price says one thing but money does another, it follows the money. Built the structure itself, wrote the backtest, ran each strategy on historical data, set up the risk manager, deployed - all on its own. Three bots, three accounts, each trades differently - they don't know about each other. Started with $1, then $5, then $10, then $50, then $2,503 in a day. Citadel, Jane Street, Two Sigma have been trading with bots for years - they don't feel fear, greed, or FOMO - they only listen to algorithms. The market rewards systems.

zostaff

1,949,166 просмотров • 5 месяцев назад

i told my bot to read 20 polymarket quant articles and build me a trading system $600 → $20,400 in one week the scary part? it found edges the articles never mentioned gave claude opus 4.6 a simple task: "read these 20 articles from polymarket quants, extract every strategy, find what they're NOT saying, and build me a bot" 48 hours later i had a system running the articles talked about: - arbitrage basics - weather markets - simple spreads but the bot found something else it analyzed 847 trades from top wallets cross-referenced with article timestamps found a pattern nobody wrote about the gap between what quants publish and what they actually trade example: > articles say "wait for 5% mispricing" top wallets enter at 2.3% > articles say "avoid volatile markets" top wallets make 80% of profit during volatility spikes > articles say "start with $100" successful bots compound at 3-6% per trade the bot ignored the public advice copied the actual behavior week 1 results: - 127 trades executed - 71% win rate - $600 → $20,400 biggest win: $4,100 on a 15min BTC marketthe articles said these markets are "too risky" the bot saw 18 top wallets entering simultaneously here's what it actually does: → scans articles for strategy mentions → tracks wallets that publish those articles → compares their written strategy vs actual trades → trades the difference, not the advice the edge isn't reading quant articles the edge is reading what quants do after they publish most people learn from what traders say the bot learned from what they hide am i the only one who thinks public alpha is just exit liquidity?

i told my bot to read 20 polymarket quant articles and build me a trading system $600 → $20,400 in one week the scary part? it found edges the articles never mentioned gave claude opus 4.6 a simple task: "read these 20 articles from polymarket quants, extract every strategy, find what they're NOT saying, and build me a bot" 48 hours later i had a system running the articles talked about: - arbitrage basics - weather markets - simple spreads but the bot found something else it analyzed 847 trades from top wallets cross-referenced with article timestamps found a pattern nobody wrote about the gap between what quants publish and what they actually trade example: > articles say "wait for 5% mispricing" top wallets enter at 2.3% > articles say "avoid volatile markets" top wallets make 80% of profit during volatility spikes > articles say "start with $100" successful bots compound at 3-6% per trade the bot ignored the public advice copied the actual behavior week 1 results: - 127 trades executed - 71% win rate - $600 → $20,400 biggest win: $4,100 on a 15min BTC marketthe articles said these markets are "too risky" the bot saw 18 top wallets entering simultaneously here's what it actually does: → scans articles for strategy mentions → tracks wallets that publish those articles → compares their written strategy vs actual trades → trades the difference, not the advice the edge isn't reading quant articles the edge is reading what quants do after they publish most people learn from what traders say the bot learned from what they hide am i the only one who thinks public alpha is just exit liquidity?

ZER

206,638 просмотров • 6 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

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 ⛓🧠

82,898 просмотров • 5 месяцев назад

He brought Claude onto Polymarket, and in 3 weeks, made $390,000 Not some magical strategy Just taking a system and fully automating it The data is straightforward: Weekly revenue $151,843 Daily average $9,549 19,000+ trades Win rate 60% What he did can actually be broken down very clearly: First, use poly-MCP to turn Claude into a trading terminal Then connect GPT Researcher to let it find patterns and events on its own Use n8n for automated workflows Have Claude read the price differences between Polymarket and Coinbase Use Huginn to run 24/7 Then use Apprise for notifications Once the whole system is up and running, he barely needs to do any manual work Life goes on as usual, with the bot executing continuously in the background You'll notice one core point: This isn't about "more accurate predictions," but about "a more complete system" Signal → Scan → Judge → Execute → Monitor → Notify All connected seamlessly A 60% win rate isn't actually that high, but under 19,000+ executions, it turns into nearly $10K a day The question is here: Do you think he made this $390K because of the "strategy itself," or because of "turning trading into an automated system"? Giving This Free for 24 hours. To get it: 1. Comment the word 'PolyMarket' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)

He brought Claude onto Polymarket, and in 3 weeks, made $390,000 Not some magical strategy Just taking a system and fully automating it The data is straightforward: Weekly revenue $151,843 Daily average $9,549 19,000+ trades Win rate 60% What he did can actually be broken down very clearly: First, use poly-MCP to turn Claude into a trading terminal Then connect GPT Researcher to let it find patterns and events on its own Use n8n for automated workflows Have Claude read the price differences between Polymarket and Coinbase Use Huginn to run 24/7 Then use Apprise for notifications Once the whole system is up and running, he barely needs to do any manual work Life goes on as usual, with the bot executing continuously in the background You'll notice one core point: This isn't about "more accurate predictions," but about "a more complete system" Signal → Scan → Judge → Execute → Monitor → Notify All connected seamlessly A 60% win rate isn't actually that high, but under 19,000+ executions, it turns into nearly $10K a day The question is here: Do you think he made this $390K because of the "strategy itself," or because of "turning trading into an automated system"? Giving This Free for 24 hours. To get it: 1. Comment the word 'PolyMarket' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)

Marry Evan

28,826 просмотров • 4 месяцев назад

I asked my bot to read 20 Polymarket quant articles and build me a trading system. One week later: $600 → $20,400. The crazy part? It didn’t just copy the strategies from the articles. It found the edges the authors never mentioned. I gave Claude Opus a simple prompt: “Read these 20 quant articles. Extract every strategy. Then figure out what they’re not saying.” 48 hours later, the bot was live. The articles talked about the usual things: • basic arbitrage • weather markets • simple spreads But the bot looked deeper. It analyzed 847 trades from top wallets, cross-referenced them with article timestamps, and found something interesting: The gap between what quants publish and what they actually trade. Examples: Articles say: wait for 5% mispricing. Top wallets enter at 2.3%. Articles say: avoid volatile markets. Top wallets make 80% of their profits during volatility spikes. Articles say: start small with $100. Successful bots compound 3–6% per trade. So the system ignored the advice. And copied the behavior. Week 1 results • 127 trades executed • 71% win rate • $600 → $20,400 Biggest trade: $4,100 profit on a 15-minute BTC market Funny thing? The articles called those markets “too risky.” The bot saw 18 top wallets entering at the same time. Copytrade → What the bot actually does → scans quant articles for strategy mentions → tracks wallets belonging to the authors → compares what they write vs what they trade → trades the difference The edge isn’t reading quant articles. The edge is watching what happens after they publish them. Most people learn from what traders say. The bot learned from what they hide.

I asked my bot to read 20 Polymarket quant articles and build me a trading system. One week later: $600 → $20,400. The crazy part? It didn’t just copy the strategies from the articles. It found the edges the authors never mentioned. I gave Claude Opus a simple prompt: “Read these 20 quant articles. Extract every strategy. Then figure out what they’re not saying.” 48 hours later, the bot was live. The articles talked about the usual things: • basic arbitrage • weather markets • simple spreads But the bot looked deeper. It analyzed 847 trades from top wallets, cross-referenced them with article timestamps, and found something interesting: The gap between what quants publish and what they actually trade. Examples: Articles say: wait for 5% mispricing. Top wallets enter at 2.3%. Articles say: avoid volatile markets. Top wallets make 80% of their profits during volatility spikes. Articles say: start small with $100. Successful bots compound 3–6% per trade. So the system ignored the advice. And copied the behavior. Week 1 results • 127 trades executed • 71% win rate • $600 → $20,400 Biggest trade: $4,100 profit on a 15-minute BTC market Funny thing? The articles called those markets “too risky.” The bot saw 18 top wallets entering at the same time. Copytrade → What the bot actually does → scans quant articles for strategy mentions → tracks wallets belonging to the authors → compares what they write vs what they trade → trades the difference The edge isn’t reading quant articles. The edge is watching what happens after they publish them. Most people learn from what traders say. The bot learned from what they hide.

Discover

54,245 просмотров • 6 месяцев назад

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

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

Recogard

14,162 просмотров • 3 месяцев назад

A 23 year old developer randomly found an open-source trading bot on GitHub. The repo already had 899 stars, so he decided to test it on a small account. He launched it in the evening. By morning, the account was up $280. The interesting part is that the bot wasn’t trying to predict Bitcoin or Solana. It barely predicted anything at all. The system monitored multiple markets at the same time and looked for moments when price or liquidity became unusually attractive. One module scanned Polymarket. Another watched Binance. A third monitored liquidity and cancelled trades whenever the risk got too high. While he was asleep, the system kept scanning markets and only executed trades that passed its filters. In the morning, he just opened Telegram and saw the list of filled orders. And this is the weird part: a few years ago, infrastructure like this would have looked like an internal tool at a small trading firm. Now you can find a similar stack sitting publicly on GitHub. Repo:

A 23 year old developer randomly found an open-source trading bot on GitHub. The repo already had 899 stars, so he decided to test it on a small account. He launched it in the evening. By morning, the account was up $280. The interesting part is that the bot wasn’t trying to predict Bitcoin or Solana. It barely predicted anything at all. The system monitored multiple markets at the same time and looked for moments when price or liquidity became unusually attractive. One module scanned Polymarket. Another watched Binance. A third monitored liquidity and cancelled trades whenever the risk got too high. While he was asleep, the system kept scanning markets and only executed trades that passed its filters. In the morning, he just opened Telegram and saw the list of filled orders. And this is the weird part: a few years ago, infrastructure like this would have looked like an internal tool at a small trading firm. Now you can find a similar stack sitting publicly on GitHub. Repo:

exit

81,157 просмотров • 1 день назад

My brother called Polymarket "a casino for people with too much free time" He's been day trading stocks for 8 years. I didn't argue. I showed him my screen without saying a word. He read the numbers twice. "That's not possible" 30 days. $300 in. $19,200 out. 71% win rate. Sharpe 2.61. 87% of wallets are in the red. $3.7 billion went to the top 0.1%. He leaned in closer. "Okay. What are you running" 86 million trades. Every wallet. Every entry. Every exit. All public. One Claude prompt: find every wallet with 100+ trades and win rate above 70%. Rank by profit. 14,000 wallets. 4 minutes. 47 targets returned. Top 20 made more than the bottom 13,000 combined. "That's not data. That's a cheat code" 73 terminal screens. Whale tracking. Insider detection. Arb vs Kalshi. Wash trade detection. Never touches your keys. ML flags fresh wallets entering low-liquidity markets before anything moves. January: flagged a wallet that turned $35K into $442K before the event resolved. Three agents. No shared memory. Two agree - full size. One alone - half. Disagree - no trade. That one rule killed 40% of losing trades overnight. "Total cost" $25 a month. He's been trading for 8 years. Real stocks. Real broker. Level 2 quotes. The whole thing. Stared at my terminal for a long time without saying anything. "I pay $300 a month for a data terminal that does a quarter of this" I told him the repos are free. Long pause. "Why doesn't everyone know about this" Because most people would rather complain about losing than spend one weekend building the thing that stops it. Build it this weekend or watch someone else post their numbers next month.

My brother called Polymarket "a casino for people with too much free time" He's been day trading stocks for 8 years. I didn't argue. I showed him my screen without saying a word. He read the numbers twice. "That's not possible" 30 days. $300 in. $19,200 out. 71% win rate. Sharpe 2.61. 87% of wallets are in the red. $3.7 billion went to the top 0.1%. He leaned in closer. "Okay. What are you running" 86 million trades. Every wallet. Every entry. Every exit. All public. One Claude prompt: find every wallet with 100+ trades and win rate above 70%. Rank by profit. 14,000 wallets. 4 minutes. 47 targets returned. Top 20 made more than the bottom 13,000 combined. "That's not data. That's a cheat code" 73 terminal screens. Whale tracking. Insider detection. Arb vs Kalshi. Wash trade detection. Never touches your keys. ML flags fresh wallets entering low-liquidity markets before anything moves. January: flagged a wallet that turned $35K into $442K before the event resolved. Three agents. No shared memory. Two agree - full size. One alone - half. Disagree - no trade. That one rule killed 40% of losing trades overnight. "Total cost" $25 a month. He's been trading for 8 years. Real stocks. Real broker. Level 2 quotes. The whole thing. Stared at my terminal for a long time without saying anything. "I pay $300 a month for a data terminal that does a quarter of this" I told him the repos are free. Long pause. "Why doesn't everyone know about this" Because most people would rather complain about losing than spend one weekend building the thing that stops it. Build it this weekend or watch someone else post their numbers next month.

Trackmind

35,750 просмотров • 3 месяцев назад

I gave 4 AIs $500 and one question: How do I turn this into real money? Not in 10 years. Now. ChatGPT: Invest in index funds, build an emergency fund and focus on increasing your income through skills development. Gemini: Consider high yield savings accounts or dividend ETFs for stable returns over time. Grok: Buy memecoins and pray. At least it was honest. Claude said nothing for 8 seconds. Then: Give me 4 minutes. Claude wrote a script. Scanned 40,000 wallets on a prediction platform. Filtered by: active last 7 days, profit over $300K, no losing weeks, more than 30,000 trades. One result. 0x732F1. $334,418 profit. 37,836 predictions. Joined February 2026. → Wallet: Claude: Copy this wallet's entries. Deploy your $500. The wallet makes 800 trades per day buying 25 second price delays between Binance and the platform. I did it. Copied 8 positions that night. Went to bed. Woke up. $500 → $814. 37,836 trades. One month. $334K. Profit curve straight up. ChatGPT told me to wait 10 years. Claude made me $314 overnight. I asked ChatGPT to verify the wallet. I cannot access this data. I asked Grok. The wallet is real. You should have asked me better questions yesterday. 4 AIs. One question. Same $500. Only one actually answered it. The other 3 are still telling people to invest in index funds.

I gave 4 AIs $500 and one question: How do I turn this into real money? Not in 10 years. Now. ChatGPT: Invest in index funds, build an emergency fund and focus on increasing your income through skills development. Gemini: Consider high yield savings accounts or dividend ETFs for stable returns over time. Grok: Buy memecoins and pray. At least it was honest. Claude said nothing for 8 seconds. Then: Give me 4 minutes. Claude wrote a script. Scanned 40,000 wallets on a prediction platform. Filtered by: active last 7 days, profit over $300K, no losing weeks, more than 30,000 trades. One result. 0x732F1. $334,418 profit. 37,836 predictions. Joined February 2026. → Wallet: Claude: Copy this wallet's entries. Deploy your $500. The wallet makes 800 trades per day buying 25 second price delays between Binance and the platform. I did it. Copied 8 positions that night. Went to bed. Woke up. $500 → $814. 37,836 trades. One month. $334K. Profit curve straight up. ChatGPT told me to wait 10 years. Claude made me $314 overnight. I asked ChatGPT to verify the wallet. I cannot access this data. I asked Grok. The wallet is real. You should have asked me better questions yesterday. 4 AIs. One question. Same $500. Only one actually answered it. The other 3 are still telling people to invest in index funds.

Marlow

31,166 просмотров • 5 месяцев назад

Genesis Update: Referral System Live The Referral System is now live to reward Virgens who bring new participants into the ecosystem and help grow agents. When a new Virgen uses your referral code and begins trading agent tokens in a taxable Agent/$VIRTUAL pool, you'll earn a share of the trading tax. How it Works: The system supports up to two layers of referral rewards: • Layer 1: Your direct referral. When this Virgen trades, you receive 20% of the trading tax from their activity. • Layer 2: The referral of your referral. When they trade, you also receive 5% of the trading tax from their activity. Only two layers are eligible for referral rewards. Activity beyond Layer 2 does not generate any rewards. Referral rewards are paid out daily in $VIRTUAL and are funded from a 1% trading tax applied to eligible trades. What Qualifies: • Buy or sell activity in taxable agent/$VIRTUAL pairs • Referral code must be entered before any trading activity What Doesn't Qualify: • Trades involving tax-exempt tokens (e.g., $LUNA or migrated tokens) • Trades in non-taxable pools (e.g., $VIRTUAL/USDT on CEXs or DEXs) • Trading activity from wallets without a referral code • Staking agent tokens, staking $VIRTUAL, and yapping • Activity before a referral code is entered (rewards are not retrospective) Where to Find Your Referral Code: You can find your unique referral code, in the Profile page on Virtuals Protocol. Referral rewards will begin distribution starting tomorrow. Now go recruit Virgens. Genesis needs you.

Virtuals Protocol

162,159 просмотров • 1 год назад

An ex-OpenAI engineer walked up to me at a meetup in SF I was showing my Polymarket terminal. He looked at the screen for ten seconds and said one sentence. "You're trading blind. The data is sitting in the open and you're writing prompts" I didn't understand. What data. He took my laptop. Opened one repository. 86 million trades. Every wallet. Every entry. Every exit. The entire Polymarket history since day one. "At OpenAI models don't guess. They read. Connect Claude Code to this dataset and say - find every wallet with a win rate above 70% and more than 100 trades" I asked - why Claude and not GPT? He looked at me like I was an idiot. "Because Claude Code connects to the repo directly. It reads the entire codebase. It's not a chatbox. It's a runtime" That evening I connected it. Claude pulled 47 wallets in 4 minutes. Average profit: $214K. Hold time: 7 hours. 91% close their position BEFORE resolution. Top wallets capture 86% of the move and cut losers at 12%. Everyone else - 58% of profit and hold losers to 41%. Same exact entries. The exits make it a completely different game. "Now connect the scanner" Three commands - the bot sees 500+ markets in real time. No API key. Read-only. Claude built the scoring in 20 minutes: Gap between price and model > 7 cents. Book depth > $500. Resolution in 4-48 hours. 93% of markets get killed instantly. Only the fat ones survive. "Now this is the important part" - he sent me an article where a guy built a full bot over a weekend from these same repos Copytrade here: Three exit triggers: Target 85% of expected move. Volume spike x3 - smart money leaving. 24 hours of silence - thesis is dead. I copied the whole stack. VPS $5. Claude $20. Total $25 a month. No team. No office. No Bloomberg. 16 days. 187 trades. 71% win rate. $800 seed. +$8,700. I sent him my screen. He replied a day later. "You just replicated for $25 what cost us six months and 11 people" I said - thanks for the tip. "Delete this chat" Too late.

An ex-OpenAI engineer walked up to me at a meetup in SF I was showing my Polymarket terminal. He looked at the screen for ten seconds and said one sentence. "You're trading blind. The data is sitting in the open and you're writing prompts" I didn't understand. What data. He took my laptop. Opened one repository. 86 million trades. Every wallet. Every entry. Every exit. The entire Polymarket history since day one. "At OpenAI models don't guess. They read. Connect Claude Code to this dataset and say - find every wallet with a win rate above 70% and more than 100 trades" I asked - why Claude and not GPT? He looked at me like I was an idiot. "Because Claude Code connects to the repo directly. It reads the entire codebase. It's not a chatbox. It's a runtime" That evening I connected it. Claude pulled 47 wallets in 4 minutes. Average profit: $214K. Hold time: 7 hours. 91% close their position BEFORE resolution. Top wallets capture 86% of the move and cut losers at 12%. Everyone else - 58% of profit and hold losers to 41%. Same exact entries. The exits make it a completely different game. "Now connect the scanner" Three commands - the bot sees 500+ markets in real time. No API key. Read-only. Claude built the scoring in 20 minutes: Gap between price and model > 7 cents. Book depth > $500. Resolution in 4-48 hours. 93% of markets get killed instantly. Only the fat ones survive. "Now this is the important part" - he sent me an article where a guy built a full bot over a weekend from these same repos Copytrade here: Three exit triggers: Target 85% of expected move. Volume spike x3 - smart money leaving. 24 hours of silence - thesis is dead. I copied the whole stack. VPS $5. Claude $20. Total $25 a month. No team. No office. No Bloomberg. 16 days. 187 trades. 71% win rate. $800 seed. +$8,700. I sent him my screen. He replied a day later. "You just replicated for $25 what cost us six months and 11 people" I said - thanks for the tip. "Delete this chat" Too late.

Lunar

481,449 просмотров • 4 месяцев назад

Chinese engineer made $600,000 in ONE MONTH trading BTC markets on Polymarket. Right tools + 6-layer execution stack, zero risk and pure math edge farming. He wins with an 85% probability - earn roughly $150,000 per week. Every week. His wallet: ~$7,000,000 a year. Not a bad return for simply finding the right information and feeding it to Claude. While some people are still using Claude as a regular chatbot, the real smart ones are making money. Claude helped me fully reverse-engineer his strategy - now you can build the same thing. There’s a complete professional-grade pipeline here, Jane Street quant level. You can keep scrolling and coping - or save this post, read article and build the same algo bot. Or just be smart and start copying his trades right now with this TG bot:

Chinese engineer made $600,000 in ONE MONTH trading BTC markets on Polymarket. Right tools + 6-layer execution stack, zero risk and pure math edge farming. He wins with an 85% probability - earn roughly $150,000 per week. Every week. His wallet: ~$7,000,000 a year. Not a bad return for simply finding the right information and feeding it to Claude. While some people are still using Claude as a regular chatbot, the real smart ones are making money. Claude helped me fully reverse-engineer his strategy - now you can build the same thing. There’s a complete professional-grade pipeline here, Jane Street quant level. You can keep scrolling and coping - or save this post, read article and build the same algo bot. Or just be smart and start copying his trades right now with this TG bot:

cvxv666

155,925 просмотров • 4 месяцев назад

GROK BOT MADE ME 3 TRADING BOTS IN 15 MINUTES +$2,353 in my wallet the next day, I quit my job that same day. I wrote one prompt and answered a few questions. Grok Bot took three strategies - MACD, RSI + VWAP, CVD divergence. Assigned each bot its own. The first one catches momentum - sees when volume picks up and gets in before the crowd wakes up. The second one trades reversals - waits for everyone to panic and bets against them. The third one scans divergences - when price says one thing but money does another, it follows the money. Built the structure itself, wrote the backtest, ran each strategy on historical data, set up the risk manager, deployed - all on its own. Three bots, three accounts, each trades differently - they don't know about each other. I named it Cabal. Started with $20, then $70, then $140, then $320, then $2,353 in a day. Citadel, Jane Street, Two Sigma have been trading with bots for years - they don't feel fear, greed, or FOMO - they only listen to algorithms. The market rewards systems.

GROK BOT MADE ME 3 TRADING BOTS IN 15 MINUTES +$2,353 in my wallet the next day, I quit my job that same day. I wrote one prompt and answered a few questions. Grok Bot took three strategies - MACD, RSI + VWAP, CVD divergence. Assigned each bot its own. The first one catches momentum - sees when volume picks up and gets in before the crowd wakes up. The second one trades reversals - waits for everyone to panic and bets against them. The third one scans divergences - when price says one thing but money does another, it follows the money. Built the structure itself, wrote the backtest, ran each strategy on historical data, set up the risk manager, deployed - all on its own. Three bots, three accounts, each trades differently - they don't know about each other. I named it Cabal. Started with $20, then $70, then $140, then $320, then $2,353 in a day. Citadel, Jane Street, Two Sigma have been trading with bots for years - they don't feel fear, greed, or FOMO - they only listen to algorithms. The market rewards systems.

Archive

274,323 просмотров • 10 дней назад

someone turned $134 to $799,840 just by trading 5m crypto markets At first it looks like a lucky run. Then you open the wallet… > 23,495+ trades > Only 5-min BTC markets > Same behavior every single cycle No hesitation, no overtrading and no emotional spikes. The reason? It's NOT a trader. It’s an OpenClaw machine. Every 5 minutes the same loop: Market opens -> BTC gets scanned -> position executed -> closed -> repeat His wallet: Copytrading his: These short-term markets aren’t about being right long-term. They’re about reacting faster than everyone else in the room. Humans read charts. Bots read data streams. By the time you click buy, the opportunity is already gone. That’s why these wallets look perfect. Because they removed the one thing that kills most traders: Decision-making. If you’re trading 5-min markets manually, you’re not competing. You’re providing liquidity to someone like this.

someone turned $134 to $799,840 just by trading 5m crypto markets At first it looks like a lucky run. Then you open the wallet… > 23,495+ trades > Only 5-min BTC markets > Same behavior every single cycle No hesitation, no overtrading and no emotional spikes. The reason? It's NOT a trader. It’s an OpenClaw machine. Every 5 minutes the same loop: Market opens -> BTC gets scanned -> position executed -> closed -> repeat His wallet: Copytrading his: These short-term markets aren’t about being right long-term. They’re about reacting faster than everyone else in the room. Humans read charts. Bots read data streams. By the time you click buy, the opportunity is already gone. That’s why these wallets look perfect. Because they removed the one thing that kills most traders: Decision-making. If you’re trading 5-min markets manually, you’re not competing. You’re providing liquidity to someone like this.

AdiiX

33,603 просмотров • 5 месяцев назад

POLYMARKET INSIDER TRACKER: I built an insider detection tool for Polymarket. It maps every wallet betting on a market, flags coordinated clusters and shows you real onchain positions in one click. Launching: Pick any market and: > See every whale, insider and sybil ring on the map > Click a bubble - Polymarket profile - positions - trades > Identify coordinated entries before the price moves. What it can do: > Visualize 200+ real onchain wallets per market in a live force-directed bubble map > Click any bubble and get cost basis, P&L, win rate, trade history, link to their Polymarket profile > Live whale-feed ticker showing every recent BUY / SELL on the market Example flow: You're scrolling Polymarket. A market is trading at 14¢. You open PolyMaps. There's a tight cluster of 7 wallets, all glowing orange. You click one: "Bought $14K @ 13¢, 2h ago." Click another. Same outcome. Same time. Same price. You're watching a coordinated entry in real time. 20 minutes later, the market is at 38¢. Building in public.

Param

17,768 просмотров • 3 месяцев назад