@donahuecronin
Self-trading patterns can be detected through wallet clustering, transaction timing, and repeated counterparty matches. Teams engaging in wash trading often use a small set of wallets to simulate volume or stabilize prices. Analyzing liquidity pool interactions can reveal if large trades lack external participants. On-chain analytics tools can flag abnormal slippage tolerance, rapid in-and-out swaps, or repetitive patterns around news events. While such behavior doesn’t always imply malicious intent, persistent manipulation erodes trust and may indicate that price movements are not driven by genuine demand.
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