
In decentralized trading, inefficiency often comes from liquidity overgeneralization, where capital is spread across assumptions of demand instead of actual participation, reducing pricing accuracy and weakening depth formation. This limitation is addressed by @dango , where liquidity is defined by real executable orders at the protocol level. Capital concentrates where activity exists, allowing spreads and market depth to emerge directly from true order flow rather than abstract distribution models. As matching logic becomes native to the architecture, execution quality is determined by system performance. Throughput, latency stability, and deterministic matching shape how efficiently markets convert intent into price movement. This reframes decentralized exchange performance around precision efficiency how accurately liquidity maps to demand, how consistent execution remains, and how reliably market depth persists under dynamic conditions.


































