Stellar and SushiSwap have supported XLM and USDC cross-chain converters, and users can use SushiSwap ' s multi-chain infrastructure to transfer assets between different block-chain networks. For Stellar, this means that its ecological assets begin to access a wider chain of liquidity.

Access to multi-chain mobility

The focus of this consolidation is to integrate Stellar assets into the existing multi-chain framework of SushiSwap. The use of XLM and USDC has been expanded and cross-chain operations have been more concentrated in the same infrastructure.

It's also a continuation of Stella's recent move towards interoperability. As chains compete for users and funds, cross-chain capacity is becoming an important tool for increasing the attractiveness of public chains and agreements.

XLM trading activity rising

The market reaction of XLM became more evident after the news was released. It was reported that in the past 48 hours, XLM trading activities had increased, as had the participation of dispersed households, indicating that market interest was rising.

  • Increase in transactions within the last 48 hours
  • There's been an increase in the number of people involved. High
  • We've got a high-heat, short-line mood. Wen.

However, the increased heat of the trade also means that short-term transactions are more radical. Increased demand, on the one hand, and market sentiment, on the other, may increase price volatility in the absence of sustained financing.

SUSHI reacts relatively flat

In contrast, Sushi did not immediately make a significant breakthrough with this integration. Although SushiSwap has thus expanded the ecological coverage of Stellar, the currency price response remains limited, and the market has temporarily failed to provide strong and immediate feedback.

From the observations given in the article, traders are more concerned about the ability of cross-chain functions to become more active on the platform, rather than just on the news. Overall, the update led to short-line heat for XLM, and the follow-up performance of SUSHI remains dependent on actual implementation.