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Whale Copy-Trading on Polymarket

Copy Tradingscore 4found Jun 22, 2026github.com/Dadel-1/Polymarket-CopyTrading

Mirror the trades of historically profitable large-volume Polymarket traders in real time with proportional position sizing.


How It Works Polymarket's on-chain architecture makes all trades publicly visible. This strategy identifies top-performing traders (whales) by analyzing historical P&L from on-chain data, then automatically replicates their trades in real time. The assumption is that skilled traders have persistent informational or analytical edges that can be harvested by fast followers.

Entry/Exit Conditions The system monitors target whale wallet addresses for new on-chain transactions. When a qualifying trade is detected, the bot immediately places an equivalent trade on the same market and outcome, sized proportionally to the follower's capital relative to the whale's position size. Exit conditions mirror the whale's exits or are triggered at contract resolution.

Verified Results No verified P&L is disclosed. Two separate implementations exist (adibfarah569/PolyTrace described as a 'DEMO', Dadel-1/Polymarket-CopyTrading with 3 stars and 1 fork), suggesting active development interest but limited public validation. The proportional sizing mechanism in Dadel-1's implementation shows methodological thoughtfulness.

Implementation Notes Python-based implementation uses Polymarket's API or on-chain event monitoring. Proportional position sizing adjusts copy trade size based on the ratio of follower capital to whale capital, avoiding over-concentration. A key challenge is whale identification — requires robust historical performance analysis to distinguish skilled traders from lucky ones. Latency between whale trade detection and follower execution determines how much price impact the follower absorbs.

Risks Whale selection based on historical performance suffers from survivorship bias and mean reversion — past winners may not persist. Front-running by other copy-traders may move prices before the follower can execute. Whales may change strategy, exit markets, or deliberately obscure trades. On-chain latency means the follower always trades at a worse price than the whale. Large whales can move markets, and copying them may cause self-fulfilling price impact that distorts the signal.