My script turned $100 into $60,535 in one month I decided to build my own script with the help of Claude It took me exactly one day and the result was worth it Literally overnight the script made $2,542 The average win rate of the script is 68% Copytrade: t.me/PolyCop_BOT?start=ref_w… Here is the full strategy: Timezone information arbitrage on Polymarket The system monitors global political and economic events that resolve while most US traders are asleep Information before the market moves The agent continuously scans international sources such as government RSS feeds parliamentary livestreams financial wires central bank announcements and regional news streams When local information clearly indicates the outcome but Polymarket prices have not adjusted yet the opportunity appears Alert based execution The agent is configured to alert when a market resolving during US sleep hours 2 to 6 AM EST shows more than a 30 percent edge Once detected it sends a notification for approval and the capital is deployed into mispriced outcomes before the broader market reacts Speed of information Local sources often confirm outcomes minutes or hours before global traders notice During this window markets can still trade at 15 to 30 cents even when the probability is already much higher Automation compounds the edge Instead of relying on a single large trade the system captures multiple information advantages across global markets As these events resolve the positions convert into full payouts stacking several small informational edges into a large overall return All that is left is expanding the data sources improving detection speed and scaling the capital behind it

My 5 minute BTC market script made me $300K Using just 1 formula I was able to write it This is not clickbait it is the story of building a trading bot 5 minute BTC markets + my post = all you need Copytrade: t.me/PolyCop_BOT?start=ref_w… Wallet: polymarket.com/profile/0xf69… Here is the full strategy: The system trades short 5 minute Bitcoin and Ethereum contracts where fast markets create temporary pricing inefficiencies Generalized market cost function Prices in prediction markets follow a liquidity based model where probabilities always sum to one and react to order flow in volatile moments YES plus NO can temporarily drop below one dollar creating an arbitrage opportunity Bayesian signal updates The system continuously updates probabilities as new market data arrives using sequential Bayesian updates which allows it to react instantly to changes Trade entry Trades are triggered when the estimated probability differs from the market price or when the combined price of YES and NO falls below one dollar Expected value and sizing Expected value equals estimated probability minus market price position size is calculated using fractional Kelly to control risk in fast markets Execution speed Market data processing probability updates EV calculation and order placement are complete in under one second allowing the system to capture spreads before manual traders react Automation edge Instead of chasing large wins the strategy repeatedly captures small spreads continuous execution allows thousands of trades to accumulate into meaningful returns over time