Convert Marinade Staked SOL MSOL to Internet Computer ICP
MSOL to ICP: 1 Marinade Staked SOL converts to 34.04 ICP as of June 14 at 5:24 PM
About MSOL and ICP
Marinade Staked SOL is falling, while Internet Computer is climbing this week. The current MSOL to ICP conversion rate is 34.04. Inversely, this means that if you convert 1 ICP you will get 0.0294 MSOL. The conversion rate of MSOL/ICP has increased by 0.3% in the last hour (ICP/MSOL decreased by 0.3%). In the last 24 hours, MSOL/ICP shrunk by 2%, while ICP/MSOL grew by the same amount.
The exchange rate of Marinade Staked SOL is decreasing. The current value of 1 MSOL is 34.04 ICP. In other words, to buy 5 Marinade Staked SOL, it would cost you 170.19 ICP. Inversely, 1 ICP would allow you to trade for 0.0294 MSOL while 50 ICP would convert to 1.47 MSOL, not including platform or gas fees.
In the last 7 days, the exchange rate has fallen by 13.08%. Meanwhile, in the last 24 hours, the rate has changed by 2.64%, and that the highest exchange rate of 1 MSOL to ICP was 35.63 ICP and the lowest 24 hour value was 1 MSOL for 32.79 ICP. Last month, 1 MSOL was worth 40.10 ICP. Today, it's down 17.8%. Looking back a year, Marinade Staked SOL has changed by 19.03 ICP. That means that in a single year, the value of Marinade Staked SOL has grown by 44.1%.
Marinade Staked SOL Market Stats
mSOL tokens represent SOL tokens staked using the Marinade.Finance liquid staking protocol. Marinade.Finance users receive mSOL tokens that accrue staking rewards upon staking SOL tokens. Since mSOL tokens are liquid, they can be used to participate in DeFi across the Solana ecosystem.
Internet Computer Market Stats
Internet Computer (ICP) is a utility token that allows users to participate in and govern the Internet Computer blockchain network. The network aims to help developers create websites, enterprise IT systems, internet services, and DeFi applications by "installing their code directly on the public Internet." ICP can also be staked or "converted into cycles" that can be used to power computation for dApps and traditional applications.
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