Sushi Unveils Super Swap Roadmap With Multi-Chain Expansion And New Features

According to BlockBeats, on October 21, Sushi announced its Super Swap roadmap, which includes several significant updates and expansions aimed at enhancing user experience and functionality across multiple blockchain networks. Sushi has already launched on over 35 chains and plans to expand further, ensuring seamless transactions across both new and existing ecosystems. Users can access these features through an intuitive Sushi user interface. The Route Processor (RP5) offers a highly decentralized cross-chain aggregation stack, aggregating liquidity from hundreds of sources to ensure competitive pricing and optimal trading paths, even in fragmented networks. The Swap API, powered by the Route Processor, allows partners to integrate Sushi's seamless swap experience directly into their applications. Future updates will introduce a fee capture mechanism, opening new revenue streams for partners. SushiXSwap has entered its second version, supporting cross-chain swaps across 15 networks, with plans for further expansion. Sushi's user experience is trader-centric, offering essential tools such as tax token support, dollar-cost averaging (DCA), limit orders, mini portfolios, and a simplified token selector. Users will soon be able to trade and manage portfolios anytime, anywhere, as Sushi is developing solutions to facilitate this capability. The token listing process is being enhanced to prioritize active and reliable tokens, providing traders with a streamlined interface and better decision-making tools. Blade, Sushi's upcoming Automated Market Maker (AMM), aims to address the issue of impermanent loss (IL) for liquidity providers, allowing them to earn stable returns on quality assets without the risk of IL. Kubo, a DeFi perpetual contract primitive, is designed to enable liquidity providers to generate yields through delta-neutral strategies across multiple networks. Additionally, Steer's ALM Smart Pool simplifies V3 concentrated liquidity management with user-friendly strategies that often outperform standard LP methods.