Clearpool vs io.net — how do they compare? Clearpool trades at Rp321.22 (market cap Rp310,95M, Rp9,54M 24h volume), while io.net trades at Rp2,054 (market cap Rp788,6M, Rp447,78M 24h volume). The key difference: io.net is far larger — about 2.5× Clearpool's market cap, and Clearpool's circulating supply is 975,7M / 1B CPOOL (98%) versus 378,4M / 800M IO (48%) for io.net. Which is the better fit depends on your goals — on Pluang, investors hold Clearpool for 5 Days and io.net for 34 Days on average.
| CPOOL | IO | |
|---|---|---|
Market Cap | Rp310,95M | Rp788,6M |
Volume (24h) | Rp9,54M | Rp447,78M |
Circulating Supply | 975,7M / 1B CPOOL (98%) | 378,4M / 800M IO (48%) |
Typical Hold Time | 5 Days | 34 Days |
Signals from Pluang's Aura AI — not financial advice
No Aura AI signal available yet.
IO token trades at Rp2,089 with bearish technical signals, currently testing support at Rp2,080. The asset shows neutral oscillators but bearish moving averages, with market cap at Rp788.4 million and 48% circulating supply. Recent trading activity indicates consolidation near key support levels with moderate volume patterns.
Overall outlook remains cautious with technical weakness prevailing. Key opportunity lies in potential bounce from support zones, while major risks include continued bearish momentum and limited liquidity. Investors should monitor Rp2,080 support breach for directional confirmation.
What Pluang investors did over the last 30 days
Clearpool is a decentralized credit marketplace connecting lenders with institutional borrowers for unsecured, real-world stablecoin loans. It addresses DeFi’s over-collateralization issue by offering uncollateralized credit lines to institutions. The ecosystem includes permissionless pools, compliant institutional platforms, and specialized financing vaults, with CPOOL powering governance, staking, and liquidity incentives.
Read more on CPOOL →io.net, formerly known as ANTBIT, leverages a decentralized computing network powered by Solana and Aptos to provide machine learning engineers with access to distributed cloud clusters. It aims to address challenges like limited availability, poor choice, and high costs associated with accessing GPUs in the public cloud.
Read more on IO →