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Star-Farming Spam Detection Arbitrage

Market Makingscore 6found Jul 20, 2026null

Front-runs star-farming spam transactions by analyzing mempool patterns to capture micro-arbitrage opportunities.


Star-farming bots generate spam transactions to earn 'stars' (reputation points) on Polymarket. This strategy monitors the mempool for these repetitive, low-value transactions. By predicting their timing, the trader places counter-orders that capture slight price discrepancies caused by the spam volume. Entry is triggered when a spam burst is detected via transaction count thresholds. Exit occurs within seconds as prices revert. Typical profit per trade is 0.1-0.3% but scales with volume. Implementation requires a mempool scanner, custom pattern recognition for spam hashes, and a fast execution script using direct RPC endpoints.