$71,000 With a Polymarket Trading Bot on 5-Minute Bitcoin Up or Down

Automated Polymarket Trading Bot: Live Results and Setup

This video profiles a live Polymarket account run entirely by a Python bot that trades 5-minute Bitcoin up/down markets around the clock. The creator demonstrates the bot live and explains setup, capital requirements, and risk. The account has 40,000+ trades and $71,000 all-time profit, with every trade publicly verifiable.

How the Bot Works

• Market structure: Polymarket shares cost $0–$1 and represent outcome probability; correct shares redeem at $1, incorrect at $0.
• Arbitrage: When “up” plus “down” cost less than $1, the bot buys both, guaranteeing one full-dollar redemption.
• Directional trades: When the order book tilts, it enters the likely side and hedges with the opposite.
• Risk controls: Hard budget per window, automatic P&L locking, and no new entries in the final seconds.
• The strategy was reverse-engineered from a public account that turned $68 into ~$1.5M on these markets.

Live Demo and Results

• A single terminal command launches the bot; it reads the order book, calculates probabilities, sizes the trade, and sends orders via API in milliseconds.
• The same trade appears in Polymarket’s activity feed; winning shares redeem automatically.
• Losing windows are normal: results are statistical over hundreds of trades, not guaranteed wins.
• A local ledger tracks P&L, and summaries can go to Telegram.
• Public results include +$226 yesterday and $71,000 all-time since May.

Setup, Capital, and Risk

• The bot is open-source Python; non-programmers can use Cursor/Claude/WinSurf to install and launch it.
• Runs on a laptop or cheap VPS; Sweden is recommended for lower latency.
• Default window size is $1,000; trade_scale = 0.1 reduces it to $100; a comfortable start is around $200.
• No web dashboard because private keys stay local and transactions are signed locally.
• Sold at $499 one-time; revenue comes from Polymarket’s referral program, aligning incentives with continued trading.
• Disclaimer: Not financial advice or a profit guarantee; markets change and losing days occur.

Key Takeaway

Automation can exploit fast prediction markets through arbitrage, hedging, and strict risk controls—but live results still require realistic capital, simulation testing, and acceptance of losses.