I need a blockchain sleuth to map every hop my target wallet’s funds have taken since the day they left the address. My priority is to see the exact amounts that moved, the precise timestamps, and—wherever possible— the exchange “location” each receiving address is linked to. The ultimate goal is to spot what I call “smart money” movements: patterns that suggest sophisticated traders, insider wallets, or coordinated actors redirecting assets through multiple chains or mixers. You’ll have full freedom over your tool-set—whether that’s Python scripts hitting Etherscan, on-chain graph visualisation with Neo4j, or commercial suites such as Chainalysis, Nansen, Crystal, or Breadcrumbs. Just be clear about your methodology so I can reproduce or verify the results later. Deliverables • A trace report (PDF or Google Doc) mapping the outbound path from the original wallet to its current resting points, annotated with transaction hashes, amounts, UTC timestamps, and any labelling info (centralised exchange, DeFi pool, bridge, mixer, cold wallet, etc.). • A companion CSV or spreadsheet containing the raw data for my own analysis. • A concise summary highlighting any notable smart-money behaviour or red flags uncovered. I’ll supply the wallet address as soon as we start. Looking forward to working with someone who loves diving deep into on-chain data.