The policy uncertainty introduced by the event involving Fed Governor Cook negatively impacts market sentiment by eroding perceived institutional stability and increasing fears of potential political interference in central bank independence, causing investors to demand a higher risk premium for volatile assets like cryptocurrencies.
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Using VPS for interaction scripts offers scalability but carries detection risks if patterns resemble automated behavior; rotating IPs and adding randomness can mitigate some concerns.
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When whale addresses sell after an airdropped token lists, users can analyze data to judge if it’s short-term and if it will trigger a chain sell-off: First, check the whale’s historical behavior—occasional small sells may be short-term, while large, continuous sells suggest a long-term exit. Second, monitor trading volume—if the sell volume is small relative to total liquidity, it’s unlikely to trigger a chain reaction. Third, track market sentiment—positive news can offset selling pressure. Tools like Nansen and Etherscan help analyze these factors to guide decisions.
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