The spot trading use case intentEX, launched by dappOS based on its intent network, offers numerous advantages, providing users with an on-chain trading experience close to that of a centralized exchange (CEX).
intentEX excels in liquidity acquisition. In traditional order book trading systems, the trading liquidity of assets is often dispersed across various exchanges, making it difficult for users to enjoy the entire market's liquidity on a single exchange. However, intentEX, based on traditional order book exchange, delegates users' limit orders as intent tasks to nodes in the dappOS intent execution network, which can complete trades on any chain, fully utilizing the liquidity advantages of professional institutions. This makes the token liquidity in intentEX superior to all CEX and DEX, allowing users to obtain more adequate trading depth and better trading prices.
In terms of trading speed and cost, intentEX also has significant advantages. Since intentEX conducts final settlement on the opBNB chain, which features high performance and low gas fees, it can significantly reduce users' trading costs. Additionally, the trading execution speed of intentEX is faster; when users' quotes are close to the market price, service nodes tend to commit to fulfilling all orders, allowing user order execution speed to even exceed the block speed of the public chain itself, enabling users to seize trading opportunities more timely and reduce trading wait times.
Moreover, the trading mechanism design of intentEX also helps to improve trading efficiency and user experience. When users place limit orders on intentEX, it is equivalent to issuing an intent task in the dappOS intent execution network, where matching nodes will assign this task to the service nodes with the strongest comprehensive competitiveness. After receiving and confirming the task, service nodes will commit to a number of orders that can guarantee the successful completion for the user based on their own situation. Upon fulfilling the commitment, service nodes will complete order processing under system constraints through three steps: internal filling, exclusive node filling, and open orders. This mechanism encourages service nodes to commit to helping users complete more orders and to execute transactions faster.