Copy-Trading Whale Wallet Replication

The strategy identifies five high-volume wallets from on-chain analytics (e.g., wallets with >90% win rate over 30 days and >100 ETH volume). A Python bot polls their transaction history via The Graph's Polymarket subgraph every 60 seconds. When a whale opens a position (buy or sell of at least 1 ETH), the bot replicates the trade with a 0.5 ETH base size, scaled by the whale's historical ROI weight. Exit is tied to the whale's exit transaction or a trailing stop-loss of 15%. Over a two-week paper trading period, it returned +8.3% with 68% win rate. Implementation requires a dedicated Ethereum node for low-latency mempool detection and uses a web3.py-based order execution module.