Whale Copy-Trading Signal Detection
Discovers and analyzes algorithmic whales on Polymarket, emitting copy-trade signals based on their detected trading patterns (read-only).
This strategy identifies large, algorithmically-driven traders ('whales') on Polymarket by analyzing on-chain transaction patterns, order flow, and wallet history. It flags wallets that exhibit consistent, profitable trading behavior with large position sizes, then emits read-only copy-trade signals for users to manually execute or automate. The system is designed to be non-disruptive, with no automated trading built in.
Entry signals are generated when a whale opens a significant position in a market. The user can then choose to follow the trade manually. The strategy assumes that whale traders have superior information or models, making their trades worth mirroring. Exit signals are provided when the whale closes or reduces the position.
Implementation is a Python-based tracker that uses the Polymarket GraphQL API and blockchain explorers to monitor wallets. It is read-only and does not execute trades, reducing regulatory risk. The repository includes a simple dashboard for visualizing whale activity.