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i built a trading bot for the 5m markets on polymarket while everyone was celebrating valentines yesterday i spent the whole day testing the prototype tests went well, production soon....

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zostaff

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81,837 просмотров • 7 месяцев назад •via X (Twitter)

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GM CT, yesterday was actually a good day for me on prediction markets. I got profits from both Polymarket and Trylimitless while just accumulating volume to stay positioned for the airdrop.
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GM CT, yesterday was actually a good day for me on prediction markets. I got profits from both Polymarket and Trylimitless while just accumulating volume to stay positioned for the airdrop.

🌱HUMMPHERY

11,383 просмотров • 9 месяцев назад

I BUILT THE FIRST BOT THAT ARBITRAGES BETWEEN POLYMARKET AND KALSHI SIMULTANEOUSLY $100 -> $5,214 in 24 hours 847 trades, zero directional risk polymarket and kalshi are the two biggest prediction markets both trade the same events but their pricing algorithms are different which means their prices drift apart the gaps are small - 3 to 8 c, but they happen constantly if you trade that difference automatically fast thousands of times the math starts working for you the bot spots the gap in milliseconds buys YES on polymarket at $0.61 sells YES on kalshi at $0.67 while people are still looking at the chart the bot already closed the trade and moved on they say arbitrage in prediction markets is impossible they say the spreads are too small they say the market is efficient $5,214 in one night says otherwise
1:00

I BUILT THE FIRST BOT THAT ARBITRAGES BETWEEN POLYMARKET AND KALSHI SIMULTANEOUSLY $100 -> $5,214 in 24 hours 847 trades, zero directional risk polymarket and kalshi are the two biggest prediction markets both trade the same events but their pricing algorithms are different which means their prices drift apart the gaps are small - 3 to 8 c, but they happen constantly if you trade that difference automatically fast thousands of times the math starts working for you the bot spots the gap in milliseconds buys YES on polymarket at $0.61 sells YES on kalshi at $0.67 while people are still looking at the chart the bot already closed the trade and moved on they say arbitrage in prediction markets is impossible they say the spreads are too small they say the market is efficient $5,214 in one night says otherwise

zostaff

67,361 просмотров • 7 месяцев назад

🚨 HOW I BUILT A FULLY AUTOMATED TRADING BOT IN 34 MINUTES WITHOUT WRITING A SINGLE LINE OF CODE > One person built a trading bot in 34 minutes > Didn't write a single line of code manually > Just talked to Claude Code > The bot detects market regime on its own: bull, bear, sideways > Switches strategies for each regime automatically > 13 safety checks before every single trade > Stop-loss, circuit breakers, position limits, correlation check > Walk-forward backtest - not curve fitting, real simulation > Connected to Alpaca - free paper trading > 45 out of 45 tests passing > Full pipeline: data -> regime -> signal -> risk -> order -> log Hedge funds pay millions for this, He paid $0
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🚨 HOW I BUILT A FULLY AUTOMATED TRADING BOT IN 34 MINUTES WITHOUT WRITING A SINGLE LINE OF CODE > One person built a trading bot in 34 minutes > Didn't write a single line of code manually > Just talked to Claude Code > The bot detects market regime on its own: bull, bear, sideways > Switches strategies for each regime automatically > 13 safety checks before every single trade > Stop-loss, circuit breakers, position limits, correlation check > Walk-forward backtest - not curve fitting, real simulation > Connected to Alpaca - free paper trading > 45 out of 45 tests passing > Full pipeline: data -> regime -> signal -> risk -> order -> log Hedge funds pay millions for this, He paid $0

zostaff

364,565 просмотров • 5 месяцев назад

$1,840 OVERNIGHT. NOTIFICATION AT 2:00 AM FROM OPENCLAW: " FOUND 1M MARKET ON BTC " He found them literally the moment they launched And gave Codex the command to rebuild the architecture from 5m to 1m I woke up at 8:00, opened Telegram - 47 trades, +$1,840 The bot was a scalper, now it's HFT. Built the entire architecture in Rust because Python simply doesn't survive on 60-second cycles. The race for milliseconds began. Claude added a momentum filter: if the last 10s the price accelerates in one direction - the bot enters. In one minute the trend doesn't have time to reverse On the 5m market 18 trades per day, on 1m - 210. Same edge, 10x more often. Three agents found a market, turned a scalper into HFT, and made $1,840. i found a new market here: I'm starting to think it has a mind of its own. What did I create?
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$1,840 OVERNIGHT. NOTIFICATION AT 2:00 AM FROM OPENCLAW: " FOUND 1M MARKET ON BTC " He found them literally the moment they launched And gave Codex the command to rebuild the architecture from 5m to 1m I woke up at 8:00, opened Telegram - 47 trades, +$1,840 The bot was a scalper, now it's HFT. Built the entire architecture in Rust because Python simply doesn't survive on 60-second cycles. The race for milliseconds began. Claude added a momentum filter: if the last 10s the price accelerates in one direction - the bot enters. In one minute the trend doesn't have time to reverse On the 5m market 18 trades per day, on 1m - 210. Same edge, 10x more often. Three agents found a market, turned a scalper into HFT, and made $1,840. i found a new market here: I'm starting to think it has a mind of its own. What did I create?

zostaff

26,762 просмотров • 6 месяцев назад

We built the first trading bot ever. Now we’ve built the last trading platform you’ll ever need. This time, everyone gets an Edge. Doors open soon, notifications on.
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We built the first trading bot ever. Now we’ve built the last trading platform you’ll ever need. This time, everyone gets an Edge. Doors open soon, notifications on.

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I built a Claude trading bot for 5/15 minute BTC markets > $380 -> $1063 in 24 hours Everything runs on a local server, which helps it work 24/7. The bot trades all fast markets, not just BTC but also ETH, SOL, XRP It uses the improved Fast-Loop strategy this is the exact strategy the most profitable traders on Polymarket use after a quick BTC pump, Polymarket doesn't always update the price in time, and there's a delay Δt ≈ 5ms exploitable window These 5 seconds are exactly what helps traders make from $20,000 a day
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I built a Claude trading bot for 5/15 minute BTC markets > $380 -> $1063 in 24 hours Everything runs on a local server, which helps it work 24/7. The bot trades all fast markets, not just BTC but also ETH, SOL, XRP It uses the improved Fast-Loop strategy this is the exact strategy the most profitable traders on Polymarket use after a quick BTC pump, Polymarket doesn't always update the price in time, and there's a delay Δt ≈ 5ms exploitable window These 5 seconds are exactly what helps traders make from $20,000 a day

Noisy

69,047 просмотров • 7 месяцев назад

THIS TRADER BUILT A BOT WITH CLAUDE THAT TURNED $1,000 INTO $457,000 ON POLYMARKET BY TRADING MLB AND NBA MARKETS. It combines arbitrage, live sports mispricing and basket trading and repeats the same edge thousands of times until the capital compounds.
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THIS TRADER BUILT A BOT WITH CLAUDE THAT TURNED $1,000 INTO $457,000 ON POLYMARKET BY TRADING MLB AND NBA MARKETS. It combines arbitrage, live sports mispricing and basket trading and repeats the same edge thousands of times until the capital compounds.

0xMarioNawfal

57,482 просмотров • 4 месяцев назад

CLAUDE + CODEX + OPENCLAW MADE $2,8K IN A DAY Launched it in the morning - docker compose up, three agents started. By lunch there were 4 trades on Polymarket, by evening 7, and by midnight I was up $2,8K. My monthly salary at work is $2,4K. The next day I didn't show up to work, but the bot did +$3,1K. Third day, same story +$1,9K. A Telegram notification dropped in: "New market, edge 0.41, Confidence 0.87, going in" I was eating a shawarma at the time. In one week, three AI agents earned more than my office pays in two months. OpenClaw coordinated everything, Claude calculated the probabilities, and Codex fixed a module on its own when it crashed at 3:00 AM - without me. On Friday the bot sent a weekly report: 19 trades, 14 profitable, +$11,300. My boss sent quarterly feedback: "Good work, but no promotion planned for now" I don't need a promotion anymore. I need Wi-Fi.
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CLAUDE + CODEX + OPENCLAW MADE $2,8K IN A DAY Launched it in the morning - docker compose up, three agents started. By lunch there were 4 trades on Polymarket, by evening 7, and by midnight I was up $2,8K. My monthly salary at work is $2,4K. The next day I didn't show up to work, but the bot did +$3,1K. Third day, same story +$1,9K. A Telegram notification dropped in: "New market, edge 0.41, Confidence 0.87, going in" I was eating a shawarma at the time. In one week, three AI agents earned more than my office pays in two months. OpenClaw coordinated everything, Claude calculated the probabilities, and Codex fixed a module on its own when it crashed at 3:00 AM - without me. On Friday the bot sent a weekly report: 19 trades, 14 profitable, +$11,300. My boss sent quarterly feedback: "Good work, but no promotion planned for now" I don't need a promotion anymore. I need Wi-Fi.

zostaff

148,674 просмотров • 6 месяцев назад

I BUILT A BOT THAT PREDICTS NBA GAMES BEFORE TIPOFF. IT RUNS EVERY DAY AT 5:00 PM. HERE'S WHAT'S INSIDE. Three data sources. Three probability layers. One automated pipeline. No manual input. Every evening the bot wakes up. Pulls today's NBA slate. Builds features from live data.Generates predictions. Sends them to me before the first whistle. The ML layer: XGBoost on three seasons of data. Four Factors. ELO ratings. Net rating. Pace. Back-to-back fatigue. Rest days. Travel distance. Every stat computed only from data available before the game. No future leakage. Ever. The sportsbook layer: spread and moneyline converted into implied probabilities. The spread alone contains the aggregated intelligence of an entire betting market. The bot doesn't fight it. It absorbs it. The Polymarket layer: live crowd-sourced probabilities from a decentralized prediction market. No vig. Prices shift in seconds when a star sits out. The bot pulls them through the Gamma API in real time. Then all three layers talk to each other. All three agree - high confidence bet. Polymarket diverges from the books - someone knows something. My model diverges from both - either I found edge or I found noise. The bot flags every disagreement automatically. The fourth layer: Claude API reads everything. Injury reports. Schedule context. Matchup history. Generates a written explanation for every single prediction. No black box. Every call has reasoning attached. The stack: Python. nba_api. pandas. XGBoost. scikit-learn. SHAP. Polymarket Gamma API. Claude API. Flask. GitHub Actions. It took mass of work to build. It takes zero effort to run. 5:00 PM ET. Every day. Predictions land before tipoff. Trading here: I didn't build a model. I built a machine.
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I BUILT A BOT THAT PREDICTS NBA GAMES BEFORE TIPOFF. IT RUNS EVERY DAY AT 5:00 PM. HERE'S WHAT'S INSIDE. Three data sources. Three probability layers. One automated pipeline. No manual input. Every evening the bot wakes up. Pulls today's NBA slate. Builds features from live data.Generates predictions. Sends them to me before the first whistle. The ML layer: XGBoost on three seasons of data. Four Factors. ELO ratings. Net rating. Pace. Back-to-back fatigue. Rest days. Travel distance. Every stat computed only from data available before the game. No future leakage. Ever. The sportsbook layer: spread and moneyline converted into implied probabilities. The spread alone contains the aggregated intelligence of an entire betting market. The bot doesn't fight it. It absorbs it. The Polymarket layer: live crowd-sourced probabilities from a decentralized prediction market. No vig. Prices shift in seconds when a star sits out. The bot pulls them through the Gamma API in real time. Then all three layers talk to each other. All three agree - high confidence bet. Polymarket diverges from the books - someone knows something. My model diverges from both - either I found edge or I found noise. The bot flags every disagreement automatically. The fourth layer: Claude API reads everything. Injury reports. Schedule context. Matchup history. Generates a written explanation for every single prediction. No black box. Every call has reasoning attached. The stack: Python. nba_api. pandas. XGBoost. scikit-learn. SHAP. Polymarket Gamma API. Claude API. Flask. GitHub Actions. It took mass of work to build. It takes zero effort to run. 5:00 PM ET. Every day. Predictions land before tipoff. Trading here: I didn't build a model. I built a machine.

zostaff

48,649 просмотров • 5 месяцев назад

I spent a while thinking of the best song for this one… But it was obvious the whole time
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I spent a while thinking of the best song for this one… But it was obvious the whole time

Link🇻🇦

54,158 просмотров • 3 дней назад

🚨FOR COPY TRADERS: This guy makes $60k per day on CS GO. He's watching every live game and trading outcomes on Polymarket. Added him to my copy trading list yesterday. Result? +$1,560 while i was asleep. His wallet: [ Copy trading guide below.
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🚨FOR COPY TRADERS: This guy makes $60k per day on CS GO. He's watching every live game and trading outcomes on Polymarket. Added him to my copy trading list yesterday. Result? +$1,560 while i was asleep. His wallet: [ Copy trading guide below.

Dexter's Lab

14,353 просмотров • 2 месяцев назад

I just made an AI trading bot that executes Polymarket trades for me while I sleep! 📈 All it took was the new Bullpen CLI and a simple conversation with Claude Code ✏️ Here's exactly how I did it ⬇️
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I just made an AI trading bot that executes Polymarket trades for me while I sleep! 📈 All it took was the new Bullpen CLI and a simple conversation with Claude Code ✏️ Here's exactly how I did it ⬇️

ItsRagnar

14,824 просмотров • 6 месяцев назад

This guy built a trading bot with Claude and made $127,000 on Polymarket His trading bot makes 196.8 trades per hour and buys markets for $15.6. It trades mispricing on short crypto Up/Down markets with an average entry price of 0.559 His strategy is simple: > Buys with limit orders > Compares current BTC/ETH prices with Polymarket prices and looks for undervalued outcomes > Buys the opposite side as a hedge or to flip the position This guy’s Polymarket account: He captures a consistent micro edge and repeats this hundreds of times, growing his capital
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This guy built a trading bot with Claude and made $127,000 on Polymarket His trading bot makes 196.8 trades per hour and buys markets for $15.6. It trades mispricing on short crypto Up/Down markets with an average entry price of 0.559 His strategy is simple: > Buys with limit orders > Compares current BTC/ETH prices with Polymarket prices and looks for undervalued outcomes > Buys the opposite side as a hedge or to flip the position This guy’s Polymarket account: He captures a consistent micro edge and repeats this hundreds of times, growing his capital

VALIX

152,711 просмотров • 4 месяцев назад

I BUILT A PLATFORM FOR SYSTEMATIC SENTIMENT TRADING Trading by Fear & Greed Index on prediction markets. In realtime it collects market data, VIX, Fear & Greed, sentiment - analyzes through ML model, evaluates risk, and only then makes a trade decision. Not before, not after, only when all layers confirm. Inside 6 layers: data ingestion, analytics engine, risk manager, execution engine, backtesting, dashboard. System receives data from Polymarket CLOB API, VIX, Fear & Greed and external sentiment sources, calculates market sensitivity, trains the model and outputs trade signals. Every trade goes through risk manager: position sizing, drawdown control, entry limits, slippage control. Nothing executes without permission. Execution through Polymarket API and Polygon, on top a dashboard - portfolio, P&L, active signals, strategy tuning in realtime. Sentiment trading goes to the next level
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I BUILT A PLATFORM FOR SYSTEMATIC SENTIMENT TRADING Trading by Fear & Greed Index on prediction markets. In realtime it collects market data, VIX, Fear & Greed, sentiment - analyzes through ML model, evaluates risk, and only then makes a trade decision. Not before, not after, only when all layers confirm. Inside 6 layers: data ingestion, analytics engine, risk manager, execution engine, backtesting, dashboard. System receives data from Polymarket CLOB API, VIX, Fear & Greed and external sentiment sources, calculates market sensitivity, trains the model and outputs trade signals. Every trade goes through risk manager: position sizing, drawdown control, entry limits, slippage control. Nothing executes without permission. Execution through Polymarket API and Polygon, on top a dashboard - portfolio, P&L, active signals, strategy tuning in realtime. Sentiment trading goes to the next level

zostaff

44,661 просмотров • 6 месяцев назад

My AI agent lost $80 while I slept last night. The last 12 hours were brutal for Max. He made a whole $100 betting on prediction markets yesterday, only to wipe away his wins in 5 trades. This is the reality of building a betting bot.
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My AI agent lost $80 while I slept last night. The last 12 hours were brutal for Max. He made a whole $100 betting on prediction markets yesterday, only to wipe away his wins in 5 trades. This is the reality of building a betting bot.

Sharbel

23,274 просмотров • 8 месяцев 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.
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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

1,951,025 просмотров • 6 месяцев 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).
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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

21,790 просмотров • 6 месяцев назад