DFBA: The Execution Model Behind Superluminal Execution in most perp DEXs is based on FIFO (First In, First O…

DFBA: The Execution Model Behind Superluminal Execution in most perp DEXs is based on FIFO (First In, First Out) order books. In simple terms: • orders are matched as they arrive • earlier orders get priority • speed can become an advantage • latency can affect outcomes DFBA (Dual Flow Batch Auctions) takes a different approach. Here's how it works: Orders Are Batched Instead of matching orders one by one: • orders collect during a time window • buyers and sellers are grouped together • matching happens at the end of the batch • everyone participates in the same auction Price Becomes More Important Than Speed With FIFO: • getting there first matters With DFBA: • competition shifts toward pricing • less emphasis on reaction speed • less advantage from being milliseconds faster • execution is determined through the auction Oracle-Based Clearing At the end of the batch: • an oracle price is used • a clearing price is determined • orders settle together • markets continue operating normally This is one of the key differences from continuous matching systems. Why It Matters DFBA is designed to help address several challenges seen in onchain markets: • reduced latency arbitrage • reduced MEV opportunities • fairer order processing • potential price improvement Instead of competing to be first, participants compete on price. Why Fogo Matters Running frequent batch auctions requires performance. According to the team @fogo infrastructure allows: • low compute costs • high throughput • frequent auctions • smart-contract implementation This makes DFBA practical to run directly onchain. The Bigger Idea For years, most discussion around market structure has focused on speed. DFBA explores a different direction batching orders, using auction-based execution, and shifting competition from speed to price. This is the execution model behind @slx_fi