As a fintech analyst with 8+ years in LA, I’ve tracked OPUL’s wild price swings—1.08% to 52.55% in hours—amid stable volume and erratic换手率. This isn’t noise; it’s a pattern. Using Python and Solidity models, I verified: this isn’t manipulation—it’s market structure revealing itself under liquidity stress. Here’s what the data really says.