Загрузка видео...

Не удалось загрузить видео

На главную

Tools from this article earn the creator of this bot $1,000,000. I reverse-engineered it and gave you all the tools completely for free. 28 repositories. 6 layers of execution - from bot reasoning engine all the way to paper-trading strategies. On-chain proof of the $1M wallet: This bot doesn’t...

antpalkin's profile picture

cvxv666

9,442 subscribers

56,293 просмотров • 6 месяцев назад •via X (Twitter)

ОбразованиеНаука и технологииФинансы
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Right tools + 6-layer execution stack = $400,000 profit on Polymarket in 20 days. Zero risk, pure math edge farming. Orchestra of agents and Claude 4.7 under the hood - a lethal weapon. It wins with an 85% probability. All proofs is on-chain: $435,000 in 22 days - that’s roughly $150,000 per week. ~$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. There’s a complete professional-grade pipeline here, Jane Street quant level. 28 essential tools, all the data, backtests, and agent orchestration - everything is in this article. Save this post so you don’t lose it - it’s a full reverse-engineered breakdown of one of the most profitable bots on Polymarket. Want to start printing right now? I’m copying every trade of this algo with TG copy-trading bot:
0:40

Right tools + 6-layer execution stack = $400,000 profit on Polymarket in 20 days. Zero risk, pure math edge farming. Orchestra of agents and Claude 4.7 under the hood - a lethal weapon. It wins with an 85% probability. All proofs is on-chain: $435,000 in 22 days - that’s roughly $150,000 per week. ~$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. There’s a complete professional-grade pipeline here, Jane Street quant level. 28 essential tools, all the data, backtests, and agent orchestration - everything is in this article. Save this post so you don’t lose it - it’s a full reverse-engineered breakdown of one of the most profitable bots on Polymarket. Want to start printing right now? I’m copying every trade of this algo with TG copy-trading bot:

cvxv666

61,112 просмотров • 6 месяцев назад

This is literally the best site on the internet to master "Quant Trading" Free. Completely. Basic math → strategies → backtesting → build trading agents → cracking interviews Bookmark this site:
0:43

This is literally the best site on the internet to master "Quant Trading" Free. Completely. Basic math → strategies → backtesting → build trading agents → cracking interviews Bookmark this site:

Roan

24,111 просмотров • 1 месяц назад

Hermes AI trading agent + math from this article = $440,000 profit on Polymarket in just 20 days. Zero profile views. This guy made almost $500k and everyone is acting like it’s completely normal. 85% win rate = he’s not guessing the future, he’s farming pure mathematical edge. Wallet of the agent: 850 green trades out of every 1,000. At his size and ROI he makes 11x more on winners than he loses. This is the real secret of any top PnL trader on Polymarket: stop guessing and and just exploit the math. Save this post so you don’t forget to read the article. Or take action right now and copy every trade this agent makes using this TG bot:
0:38

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

cvxv666

59,902 просмотров • 6 месяцев назад

6 free GitHub bots for trading on Polymarket… Here’s everything you need to automate and make your trading much easier: 1. A trading bot powered by AI with 118 ready to use strategies and tools for prediction markets. It includes a web dashboard where you can simply ask the bot to research, analyze or execute anything you want based on the latest market data. GitHub: 2. A backtesting simulator that lets you test any of your own trading ideas and strategies. It simulates your strategy on real historical markets and shows how it would have performed, with pnl, win rate and all possible risks. GitHub: 3. This bot can automatically manage all your limit orders on Polymarket to maximize liquidity rewards. GitHub: 4. A bot toolkit that includes copy trading, arbitrage, smart money, market making, whale alerts, spread farming, sports trading and more. GitHub: 5. A bot for trading weather markets that scans multiple sources in real time, like weather forecasts, airport data and aviation observations (METAR) to collect the latest temperature data. Then it generates a detailed weather report for any specific city and day. GitHub: 6. A Claude powered trading bot that connects directly to Polymarket. It can analyze markets in real time, track prices, suggest possible trades or even trade for you. GitHub: Each of these bots includes a dry run mode, so you can test them on real markets without risking any funds.
0:23

6 free GitHub bots for trading on Polymarket… Here’s everything you need to automate and make your trading much easier: 1. A trading bot powered by AI with 118 ready to use strategies and tools for prediction markets. It includes a web dashboard where you can simply ask the bot to research, analyze or execute anything you want based on the latest market data. GitHub: 2. A backtesting simulator that lets you test any of your own trading ideas and strategies. It simulates your strategy on real historical markets and shows how it would have performed, with pnl, win rate and all possible risks. GitHub: 3. This bot can automatically manage all your limit orders on Polymarket to maximize liquidity rewards. GitHub: 4. A bot toolkit that includes copy trading, arbitrage, smart money, market making, whale alerts, spread farming, sports trading and more. GitHub: 5. A bot for trading weather markets that scans multiple sources in real time, like weather forecasts, airport data and aviation observations (METAR) to collect the latest temperature data. Then it generates a detailed weather report for any specific city and day. GitHub: 6. A Claude powered trading bot that connects directly to Polymarket. It can analyze markets in real time, track prices, suggest possible trades or even trade for you. GitHub: Each of these bots includes a dry run mode, so you can test them on real markets without risking any funds.

Recogard

39,472 просмотров • 21 дней назад

This is Arbigab. The most advanced, off the shelf, profitable arbitrage trading bot for Polymarket & Kalshi. Built by senior developers and trading veterans, this software empowers beginners to capture their share of the market! To get the bot NOW or get more information, visit: Below is a live trading session using our rust trading engine for arbitrage on the BTC up/down 5 minutes market. It's a sample of 2 iterations. You can find this terminal on the website front page. It is connected to our production backend (with a 2 minutes delay).
0:37

This is Arbigab. The most advanced, off the shelf, profitable arbitrage trading bot for Polymarket & Kalshi. Built by senior developers and trading veterans, this software empowers beginners to capture their share of the market! To get the bot NOW or get more information, visit: Below is a live trading session using our rust trading engine for arbitrage on the BTC up/down 5 minutes market. It's a sample of 2 iterations. You can find this terminal on the website front page. It is connected to our production backend (with a 2 minutes delay).

Gabagool 22 Trading Bot

22,589 просмотров • 7 месяцев назад

this is pure f*cking AI treasure 5 GitHub repos that give you the trading algo Wall Street pays millions dollars: want the engine serious quants run in production? -> NautilusTrader: a Rust-native trading engine where the backtest and the live run use the same code want a full research team arguing over every trade? -> TradingAgents: a multi-agent trading firm in one repo. analysts, researchers, a risk desk want the data terminal without the terminal bill? -> OpenBB: an open data platform for analysts, quants and AI agents want a bot that actually places the orders? -> freqtrade: free, open-source crypto trading bot with backtesting built in want all of it in one place? -> QuantDinger: an AI trading OS. research, Python strategies, backtest, paper and live trading ~282k stars of trading infrastructure. $0 in licences. now the part worth trying. every one of these has the same slow spot: the moment before the order, where something has to say yes or no. that's where Jev goes. it can't write a word. it returns BUY / SELL / HOLD with a probability in 70 to 500 milliseconds. QuantDinger already ships it as the pre-trade gate. and one repo, jev-trader, asks it buy or sell every ~300 ms and quotes a limit order on every single block. the stack in one line: OpenBB brings the data, the agents do the research, Jev makes the call, the bot places the order. the catch: fast is not the same as right. none of this is an ATM. paper trade it first. Jev + Claude + these 5 is the setup to test this month. check each repo before you install. save this.
0:27

this is pure f*cking AI treasure 5 GitHub repos that give you the trading algo Wall Street pays millions dollars: want the engine serious quants run in production? -> NautilusTrader: a Rust-native trading engine where the backtest and the live run use the same code want a full research team arguing over every trade? -> TradingAgents: a multi-agent trading firm in one repo. analysts, researchers, a risk desk want the data terminal without the terminal bill? -> OpenBB: an open data platform for analysts, quants and AI agents want a bot that actually places the orders? -> freqtrade: free, open-source crypto trading bot with backtesting built in want all of it in one place? -> QuantDinger: an AI trading OS. research, Python strategies, backtest, paper and live trading ~282k stars of trading infrastructure. $0 in licences. now the part worth trying. every one of these has the same slow spot: the moment before the order, where something has to say yes or no. that's where Jev goes. it can't write a word. it returns BUY / SELL / HOLD with a probability in 70 to 500 milliseconds. QuantDinger already ships it as the pre-trade gate. and one repo, jev-trader, asks it buy or sell every ~300 ms and quotes a limit order on every single block. the stack in one line: OpenBB brings the data, the agents do the research, Jev makes the call, the bot places the order. the catch: fast is not the same as right. none of this is an ATM. paper trade it first. Jev + Claude + these 5 is the setup to test this month. check each repo before you install. save this.

kiosa

22,061 просмотров • 26 дней 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:
0:32

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

156,754 просмотров • 6 месяцев назад

GOONMA is a leading automated trading platform, providing you with powerful and user-friendly trading tools. With GOONMA, you can easily automate all your trades based on your own customized bot strategy or simply copy top trading bots from the community.
0:59

GOONMA is a leading automated trading platform, providing you with powerful and user-friendly trading tools. With GOONMA, you can easily automate all your trades based on your own customized bot strategy or simply copy top trading bots from the community.

GOONMA - Social Trading Bot Platform

19,917 просмотров • 3 лет назад

THIS GUY USED CLAUDE TO BUILD A REAL TRADING BOT In just 17 minutes, he shows you how to build the same bot from scratch, refine the strategy, backtest it, and get it running. 🔖 save this before you lose it.
17:42

THIS GUY USED CLAUDE TO BUILD A REAL TRADING BOT In just 17 minutes, he shows you how to build the same bot from scratch, refine the strategy, backtest it, and get it running. 🔖 save this before you lose it.

MIKE

137,170 просмотров • 2 месяцев назад

this is absolutely f*cking insane Black Rock just leaked 5 GitHub repos that give you the trading desk a fund pays millions for: want a full research team arguing over every trade? -> TradingAgents: a multi-agent trading firm in one repo. analysts, researchers, a risk desk want the data terminal without the terminal bill? -> OpenBB: an open data platform for analysts, quants and AI agents want a bot that actually places the orders? -> freqtrade: free, open-source crypto trading bot with backtesting built in want the engine serious quants run in production? -> NautilusTrader: a Rust-native trading engine where the backtest and the live run use the same code want all of it in one place? -> QuantDinger: an AI trading OS. research, Python strategies, backtest, paper and live trading ~282k stars of trading infrastructure. $0 in licences. now the part worth trying. every one of these has the same slow spot: the moment before the order, where something has to say yes or no. that's where Jev goes. it can't write a word. it returns BUY / SELL / HOLD with a probability in 70 to 500 milliseconds. QuantDinger already ships it as the pre-trade gate. and one repo, jev-trader, asks it buy or sell every ~300 ms and quotes a limit order on every single block. the stack in one line: OpenBB brings the data, the agents do the research, Jev makes the call, the bot places the order. the catch: fast is not the same as right. none of this is an ATM. paper trade it first. Jev + these five is the setup to test this month. bookmark and share with a friend
0:25

this is absolutely f*cking insane Black Rock just leaked 5 GitHub repos that give you the trading desk a fund pays millions for: want a full research team arguing over every trade? -> TradingAgents: a multi-agent trading firm in one repo. analysts, researchers, a risk desk want the data terminal without the terminal bill? -> OpenBB: an open data platform for analysts, quants and AI agents want a bot that actually places the orders? -> freqtrade: free, open-source crypto trading bot with backtesting built in want the engine serious quants run in production? -> NautilusTrader: a Rust-native trading engine where the backtest and the live run use the same code want all of it in one place? -> QuantDinger: an AI trading OS. research, Python strategies, backtest, paper and live trading ~282k stars of trading infrastructure. $0 in licences. now the part worth trying. every one of these has the same slow spot: the moment before the order, where something has to say yes or no. that's where Jev goes. it can't write a word. it returns BUY / SELL / HOLD with a probability in 70 to 500 milliseconds. QuantDinger already ships it as the pre-trade gate. and one repo, jev-trader, asks it buy or sell every ~300 ms and quotes a limit order on every single block. the stack in one line: OpenBB brings the data, the agents do the research, Jev makes the call, the bot places the order. the catch: fast is not the same as right. none of this is an ATM. paper trade it first. Jev + these five is the setup to test this month. bookmark and share with a friend

kiosa

30,442 просмотров • 27 дней назад

A 33-year-old quant from Hong Kong built a perfect BTC price simulation engine with a swarm of agents. In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: Humans can’t process dozens of gigabytes of data in seconds - but Claude can. Closed order book feeds from CEXs, live data from OTC trading desks, Pyth oracles - AI agent gathers all of it in one iteration. His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $369,000 all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t "guessing where the chart will go" This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want the full guide to build the same bot? Save the post and read the article. Want to start copying his trades right now? Use this TG copy-trading bot (US users can actually trade here, unlike the main Polymarket site):
0:56

A 33-year-old quant from Hong Kong built a perfect BTC price simulation engine with a swarm of agents. In a single trade, he turned $2,000 into $166,000. 7,500% profit. All proof onchain - every single one of his trades is publicly visible on Polymarket. His wallet: Humans can’t process dozens of gigabytes of data in seconds - but Claude can. Closed order book feeds from CEXs, live data from OTC trading desks, Pyth oracles - AI agent gathers all of it in one iteration. His algorithm instantly detects any mispricing in crypto markets and enters trade immediately. $369,000 all-time profit. Constantly fading the crowd because his simulation reads the market better than everyone else. On April 24, he was only one who knew the market was wrong. He entered a trade with just a 1.3% implied probability of execution. This isn’t "guessing where the chart will go" This is engineered money. Pure fusion of AI + MiroFish + insane math on exclusive data. Want the full guide to build the same bot? Save the post and read the article. Want to start copying his trades right now? Use this TG copy-trading bot (US users can actually trade here, unlike the main Polymarket site):

cvxv666

83,436 просмотров • 5 месяцев назад

If you think you need a big bankroll for a Polymarket bot - this guy made $160,000 with an average bet size of just $200. If you think you need to predict the future to run a profitable Polymarket bot - this guy makes money with pure mathematics. If you think it’s cap - every trade is on-chain, go check it yourself. Bot wallet: He doesn’t care where the price of BTC is going. All he does is methodically extract edge from the numbers. Both YES and NO shares will always be worth exactly $1 at market expiration. But are they worth exactly $1 while the market is still open? The answer is no. For example: YES at 70¢ + NO at 25¢ = 95¢ total. That 5¢ gap is free money. Repeat it ten thousand times.+$166,000 in two months. His active bankroll never exceeded a $10k, and risk per trade stayed at $200–300 the entire time. Mathematical. Methodical. Almost zero risk. This is how you actually get to the top of the leaderboard - not by guessing the future, but by exploiting inefficiencies. Want the full guide on how to build one? Save the post and read the article. Want to start copying the trades of a ready-made bot right now? Use this copy-trading solution:
0:30

If you think you need a big bankroll for a Polymarket bot - this guy made $160,000 with an average bet size of just $200. If you think you need to predict the future to run a profitable Polymarket bot - this guy makes money with pure mathematics. If you think it’s cap - every trade is on-chain, go check it yourself. Bot wallet: He doesn’t care where the price of BTC is going. All he does is methodically extract edge from the numbers. Both YES and NO shares will always be worth exactly $1 at market expiration. But are they worth exactly $1 while the market is still open? The answer is no. For example: YES at 70¢ + NO at 25¢ = 95¢ total. That 5¢ gap is free money. Repeat it ten thousand times.+$166,000 in two months. His active bankroll never exceeded a $10k, and risk per trade stayed at $200–300 the entire time. Mathematical. Methodical. Almost zero risk. This is how you actually get to the top of the leaderboard - not by guessing the future, but by exploiting inefficiencies. Want the full guide on how to build one? Save the post and read the article. Want to start copying the trades of a ready-made bot right now? Use this copy-trading solution:

cvxv666

48,661 просмотров • 6 месяцев назад

this is absolutely f*cking insane Black Rock just leaked 4 GitHub repos that give you the trading desk a fund pays millions for: want a full research team arguing over every trade? -> TradingAgents: a multi-agent trading firm in one repo. analysts, researchers, a risk desk want the data terminal without the terminal bill? -> OpenBB: an open data platform for analysts, quants and AI agents want a bot that actually places the orders? -> freqtrade: free, open-source crypto trading bot with backtesting built in want all of it in one place? -> QuantDinger: an AI trading OS. research, Python strategies, backtest, paper and live trading ~282k stars of trading infrastructure. $0 in licences. now the part worth trying. every one of these has the same slow spot: the moment before the order, where something has to say yes or no. that's where Jev goes. it can't write a word. it returns BUY / SELL / HOLD with a probability in 70 to 500 milliseconds. QuantDinger already ships it as the pre-trade gate. and one repo, jev-trader, asks it buy or sell every ~300 ms and quotes a limit order on every single block. the stack in one line: OpenBB brings the data, the agents do the research, Jev makes the call, the bot places the order. the catch: fast is not the same as right. none of this is an ATM. paper trade it first. Jev + these five is the setup to test this month. bookmark and share with a friend
0:23

this is absolutely f*cking insane Black Rock just leaked 4 GitHub repos that give you the trading desk a fund pays millions for: want a full research team arguing over every trade? -> TradingAgents: a multi-agent trading firm in one repo. analysts, researchers, a risk desk want the data terminal without the terminal bill? -> OpenBB: an open data platform for analysts, quants and AI agents want a bot that actually places the orders? -> freqtrade: free, open-source crypto trading bot with backtesting built in want all of it in one place? -> QuantDinger: an AI trading OS. research, Python strategies, backtest, paper and live trading ~282k stars of trading infrastructure. $0 in licences. now the part worth trying. every one of these has the same slow spot: the moment before the order, where something has to say yes or no. that's where Jev goes. it can't write a word. it returns BUY / SELL / HOLD with a probability in 70 to 500 milliseconds. QuantDinger already ships it as the pre-trade gate. and one repo, jev-trader, asks it buy or sell every ~300 ms and quotes a limit order on every single block. the stack in one line: OpenBB brings the data, the agents do the research, Jev makes the call, the bot places the order. the catch: fast is not the same as right. none of this is an ATM. paper trade it first. Jev + these five is the setup to test this month. bookmark and share with a friend

Beaver

45,179 просмотров • 18 дней назад

This guy built a trading bot with Claude and made $146,756 on Polymarket His bot makes 90 trades per hour and combines a hybrid of directional trading and two-sided arbitrage His strategy is simple: > Uses limit orders > Finds mispricing with his probability model > Buys the opposite side as a hedge or when it sees an arbitrage opportunity This guy’s Polymarket username: almach Using this strategy and high-quality execution, he turned $20k into $146.8k in 2 months of trading
0:25

This guy built a trading bot with Claude and made $146,756 on Polymarket His bot makes 90 trades per hour and combines a hybrid of directional trading and two-sided arbitrage His strategy is simple: > Uses limit orders > Finds mispricing with his probability model > Buys the opposite side as a hedge or when it sees an arbitrage opportunity This guy’s Polymarket username: almach Using this strategy and high-quality execution, he turned $20k into $146.8k in 2 months of trading

VALIX

29,142 просмотров • 3 месяцев назад

A guy from Germany 🇩🇪 made over $1,000,000 with an AI crypto trading bot. Not luck. Not signals. Not gambling. Just pure systematic alpha for 2 straight years. $34 → $4,113 $252 → $22,202 $46 → $4,048 3,210 trades. 78% win rate. $1M+ profit. His wallet is given in the first comment below 👇 The bot doesn’t predict the market. It detects mispricing before the crowd catches on. Claude = the brain. AI agents = execution. This is what trading looks like in 2026. Want to get full guide? Comment “Ai”, like + repost + follow ZILLIONAIRE (33%)💰💸 for the full breakdown.
0:54

A guy from Germany 🇩🇪 made over $1,000,000 with an AI crypto trading bot. Not luck. Not signals. Not gambling. Just pure systematic alpha for 2 straight years. $34 → $4,113 $252 → $22,202 $46 → $4,048 3,210 trades. 78% win rate. $1M+ profit. His wallet is given in the first comment below 👇 The bot doesn’t predict the market. It detects mispricing before the crowd catches on. Claude = the brain. AI agents = execution. This is what trading looks like in 2026. Want to get full guide? Comment “Ai”, like + repost + follow ZILLIONAIRE (33%)💰💸 for the full breakdown.

ZILLIONAIRE (33%)💰💸

24,477 просмотров • 5 месяцев назад

Grok Bot built the entire site for my autonomus fund. a couple of prompts, zero code from me, a bit of waiting, and it was live Elon, your team did something serious here. I keep finding jobs I no longer have to do myself if you've been following solana:C3bajJW843KN9Uu441JkXN7zVMs4VM2HvdAGyGiBpump Capital, go through it: the trading engine is paper trading inside Grok Bot right now, backtesting itself while the final checks run. I want it boring and predictable before it touches a live wallet we are still at the very start of this
0:21

Grok Bot built the entire site for my autonomus fund. a couple of prompts, zero code from me, a bit of waiting, and it was live Elon, your team did something serious here. I keep finding jobs I no longer have to do myself if you've been following solana:C3bajJW843KN9Uu441JkXN7zVMs4VM2HvdAGyGiBpump Capital, go through it: the trading engine is paper trading inside Grok Bot right now, backtesting itself while the final checks run. I want it boring and predictable before it touches a live wallet we are still at the very start of this

cvxv666

24,429 просмотров • 2 месяцев назад

i cancelled $2,000/month in trading subscriptions replaced every single one with open-source repos here's the full stack: 1. TradingView Pro ($30/mo) → lightweight-charts 14K stars. by TradingView themselves. 45KB. free 2. Bloomberg Terminal ($2,000/mo) → fredapi + Claude every macro dataset the Fed publishes. free API 3. backtest platform ($100/mo) → prediction-market-backtesting NautilusTrader fork with Polymarket + Kalshi adapters 4. real-time dashboard → polyrec terminal UI: Chainlink oracle, Binance feed, orderbook depth 70+ indicators. auto CSV logging. strategy backtester 5. bot framework (7 strategies) → Polymarket-Trading-Bot 53K lines TypeScript. arbitrage, momentum, market making, AI forecast, whale copy-trade, convergence 6. strategy reverse engineering → polybot execution + market data infrastructure. paper trading Kafka, ClickHouse, Grafana. full analytics pipeline 7. paper trading for AI agents → polymarket-paper-trader real order books. exact fee model. slippage tracking your Claude agent gets $10K paper money and trades 8. token savings → rtk CLI proxy. cuts Claude Code tokens by 60-90% Rust. single binary. 10 AI tools supported 9. Claude Code itself ($200/mo) → goose 35K stars. by Block (Jack Dorsey). Rust works with any LLM. full agent loop. free 10. wallet tracking + copy trading → Kreo track top Polymarket wallets. auto copy trades the only tool on this list i actually pay for because it makes more than it costs total before: ~$2,600/month total now: $0 + Kreo bookmark this. you'll need it
0:49

i cancelled $2,000/month in trading subscriptions replaced every single one with open-source repos here's the full stack: 1. TradingView Pro ($30/mo) → lightweight-charts 14K stars. by TradingView themselves. 45KB. free 2. Bloomberg Terminal ($2,000/mo) → fredapi + Claude every macro dataset the Fed publishes. free API 3. backtest platform ($100/mo) → prediction-market-backtesting NautilusTrader fork with Polymarket + Kalshi adapters 4. real-time dashboard → polyrec terminal UI: Chainlink oracle, Binance feed, orderbook depth 70+ indicators. auto CSV logging. strategy backtester 5. bot framework (7 strategies) → Polymarket-Trading-Bot 53K lines TypeScript. arbitrage, momentum, market making, AI forecast, whale copy-trade, convergence 6. strategy reverse engineering → polybot execution + market data infrastructure. paper trading Kafka, ClickHouse, Grafana. full analytics pipeline 7. paper trading for AI agents → polymarket-paper-trader real order books. exact fee model. slippage tracking your Claude agent gets $10K paper money and trades 8. token savings → rtk CLI proxy. cuts Claude Code tokens by 60-90% Rust. single binary. 10 AI tools supported 9. Claude Code itself ($200/mo) → goose 35K stars. by Block (Jack Dorsey). Rust works with any LLM. full agent loop. free 10. wallet tracking + copy trading → Kreo track top Polymarket wallets. auto copy trades the only tool on this list i actually pay for because it makes more than it costs total before: ~$2,600/month total now: $0 + Kreo bookmark this. you'll need it

self.dll

803,521 просмотров • 7 месяцев назад

The AI game just changed forever - 35 year old Chinese marketer earn $300k in ONE month using only Claude. He launched a swarm of agents powered by Opus 4.7 to trade BTC markets on Polymarket. Claude as the brain + agent swarm sim engine = $5k–$15k profit per trade. His wallet: Pure irony “Marketing101” username says it all - ANYONE can start from zero and achieve absolutely mind-blowing results. This guy could make over $3,000,000 in a year - and he has never built an app or known how to code. While some people are still using Claude as a regular chatbot, the real smart ones are making money. Runs on full autopilot - the perfect machine for extracting mathematical inefficiencies in BTC markets. He doesn’t need to predict the future - he simply buys both outcomes early, then sells the weaker side before expiration. The perfect machine that profits purely from mathematics. You can keep scrolling and coping - or save this post, read the article and build the same algo bot. Or just be smart and start copying every one of his trades right now with this TG bot:
0:57

The AI game just changed forever - 35 year old Chinese marketer earn $300k in ONE month using only Claude. He launched a swarm of agents powered by Opus 4.7 to trade BTC markets on Polymarket. Claude as the brain + agent swarm sim engine = $5k–$15k profit per trade. His wallet: Pure irony “Marketing101” username says it all - ANYONE can start from zero and achieve absolutely mind-blowing results. This guy could make over $3,000,000 in a year - and he has never built an app or known how to code. While some people are still using Claude as a regular chatbot, the real smart ones are making money. Runs on full autopilot - the perfect machine for extracting mathematical inefficiencies in BTC markets. He doesn’t need to predict the future - he simply buys both outcomes early, then sells the weaker side before expiration. The perfect machine that profits purely from mathematics. You can keep scrolling and coping - or save this post, read the article and build the same algo bot. Or just be smart and start copying every one of his trades right now with this TG bot:

cvxv666

58,157 просмотров • 5 месяцев назад

i built an entire AI trading terminal with Grok Bot. then i let it run $19.63 → $1,257.22 and i recorded the whole thing live let me show you what happens when you stop asking AI to talk about trading and actually put it to work the entire terminal was built with Grok Bot. not just the trading logic, but the agents, the interface, the dashboard, the visual design, the whole system i described what i wanted to build, and Grok Bot helped turn that idea into a working trading terminal 6 AI agents operating inside one environment: NOVA ORION VELA KADE NYX ZARA each with its own identity, all running inside the same terminal here's what happens when the system goes live a dashboard tracking balance, profit and performance in real time an equity curve showing how the account evolves an activity feed displaying trading decisions and execution logs as they happen multiple agents operating within one unified environment no static mockup. no fake dashboard screenshots this is the terminal running on screen, with the balance and activity feed updating live and here's the part that matters the account started with just $19.63 by the end of the recording, it had reached $1,257.22 that's an increase of $1,237.59 during the session i recorded the process so you can see the system running instead of just taking my word for it the equity curve moved. the activity feed updated. the agents kept working and the entire terminal, from the agent system to the dashboard and interface, was built with Grok Bot that's what makes this interesting to me we're moving beyond AI that simply tells you what it would do we're building systems that can operate inside real environments, make decisions and execute a defined strategy AI agents are becoming tools you can actually build, deploy and watch in action i'm documenting the process as i build and experiment want to build a bot like this yourself? bookmark this post and follow me for more
0:25

i built an entire AI trading terminal with Grok Bot. then i let it run $19.63 → $1,257.22 and i recorded the whole thing live let me show you what happens when you stop asking AI to talk about trading and actually put it to work the entire terminal was built with Grok Bot. not just the trading logic, but the agents, the interface, the dashboard, the visual design, the whole system i described what i wanted to build, and Grok Bot helped turn that idea into a working trading terminal 6 AI agents operating inside one environment: NOVA ORION VELA KADE NYX ZARA each with its own identity, all running inside the same terminal here's what happens when the system goes live a dashboard tracking balance, profit and performance in real time an equity curve showing how the account evolves an activity feed displaying trading decisions and execution logs as they happen multiple agents operating within one unified environment no static mockup. no fake dashboard screenshots this is the terminal running on screen, with the balance and activity feed updating live and here's the part that matters the account started with just $19.63 by the end of the recording, it had reached $1,257.22 that's an increase of $1,237.59 during the session i recorded the process so you can see the system running instead of just taking my word for it the equity curve moved. the activity feed updated. the agents kept working and the entire terminal, from the agent system to the dashboard and interface, was built with Grok Bot that's what makes this interesting to me we're moving beyond AI that simply tells you what it would do we're building systems that can operate inside real environments, make decisions and execute a defined strategy AI agents are becoming tools you can actually build, deploy and watch in action i'm documenting the process as i build and experiment want to build a bot like this yourself? bookmark this post and follow me for more

cristal💎

44,712 просмотров • 16 дней назад

$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.
0:24

$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 • 6 месяцев назад