Convert Marlin POND to Internet Computer ICP
POND to ICP: 1 Marlin converts to 0.0016 ICP as of June 14 at 6:29 PM
About POND and ICP
Marlin is falling, while Internet Computer is climbing this week. The current POND to ICP conversion rate is 0.0016. Inversely, this means that if you convert 1 ICP you will get 644.84 POND. The conversion rate of POND/ICP has decreased by 0.54% in the last hour (ICP/POND increased by 0.54%). In the last 24 hours, POND/ICP shrunk by 1.66%, while ICP/POND grew by the same amount.
The exchange rate of Marlin is decreasing. The current value of 1 POND is 0.0016 ICP. In other words, to buy 5 Marlin, it would cost you 0.0078 ICP. Inversely, 1 ICP would allow you to trade for 644.84 POND while 50 ICP would convert to 32,242.19 POND, not including platform or gas fees.
In the last 7 days, the exchange rate has fallen by 13.4%. Meanwhile, in the last 24 hours, the rate has changed by 1.51%, and that the highest exchange rate of 1 POND to ICP was 0.0016 ICP and the lowest 24 hour value was 1 POND for 0.0015 ICP. Last month, 1 POND was worth 0.0019 ICP. Today, it's down 24.52%. Looking back a year, Marlin has changed by 0.0023 ICP. That means that in a single year, the value of Marlin has shrank by 51.22%.
Marlin Market Stats
POND is an Ethereum token that powers Marlin, a protocol aimed at scaling peer-to-peer networks by improving communication between nodes. POND can be used to delegate to Marlin nodes and is used as a reward for operating the relay network correctly. On the network, 1 million POND can also be used to mint 1 MPOND in order to enable voting on the future of the network.
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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