KEY TAKEAWAYS
- KuCoin expands its cryptocurrency offerings by listing Supra (SUPRA) on its Spot trading platform.
- Supra is a MultiVM Layer 1 blockchain with impressive capabilities, including 500,000 TPS and sub-second consensus latency.
- The platform supports advanced features like native oracle price feeds and cross-chain communication, with plans to integrate EVM and SolanaVM.
- KuCoin advises investors to perform thorough risk assessments due to the inherent risks in cryptocurrency investments.
KuCoin has announced the addition of Supra (SUPRA) to its Spot trading platform. The listing marks another significant step for KuCoin as it continues to expand its range of available cryptocurrencies.
The schedule for the listing is as follows: Deposits for Supra are effective immediately, supported by the SUPRA Mainnet. Trading will commence at 13:00 UTC on November 27, 2024, with withdrawals available from 10:00 UTC on November 28, 2024. The trading pair available will be SUPRA/USDT.
Understanding Supra’s Technology
Supra is a MultiVM Layer 1 blockchain, initially utilizing MoveVM. It boasts a throughput of 500,000 transactions per second (TPS) across 300 globally distributed nodes, achieving sub-second consensus latency. This positions Supra as a pioneering force in creating a vertically integrated, all-in-one blockchain platform.
Supra’s platform includes native oracle price feeds, on-chain randomness, cross-chain communication, and automation. Additionally, it plans to support EVM and SolanaVM in the near future, providing developers with a comprehensive platform to build advanced decentralized applications (dApps).
For more details on the listing, visit the official announcement here.
Investment Considerations
KuCoin advises users to conduct thorough risk assessments before investing in cryptocurrencies. The market operates continuously without closing times, and while KuCoin screens tokens before listing, investing in cryptocurrencies carries inherent risks. KuCoin disclaims liability for investment gains or losses.
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