Ethereum vs io.net — how do they compare? Ethereum trades at Rp34,881,358 (market cap Rp4.186,29T, Rp232,51T 24h volume), while io.net trades at Rp2,895 (market cap Rp1,06T, Rp331,11M 24h volume). The key difference: Ethereum is far larger — about 3949.3× io.net's market cap, and io.net's supply is capped (365,5M / 800M IO (46%)) while Ethereum's keeps growing. Which is the better fit depends on your goals — on Pluang, investors hold Ethereum for 102 Days and io.net for 33 Days on average.
| ETH | IO | |
|---|---|---|
Market Cap | Rp4.186,29T | Rp1,06T |
Volume (24h) | Rp232,51T | Rp331,11M |
Circulating Supply | 120,7M ETH | 365,5M / 800M IO (46%) |
Typical Hold Time | 102 Days | 33 Days |
Signals from Pluang's Aura AI — not financial advice
Ethereum is trading at Rp34,812,964 with a market cap of Rp4,186.29T, showing bullish technical signals from moving averages despite overbought RSI readings. The asset maintains strong support at Rp30,580,385 and resistance at Rp37,125,848. Recent news highlights Ethereum's ecosystem growth potential and institutional interest, with Standard Chartered predicting significant long-term upside by 2030.
Overall outlook remains positive with strong technical momentum and fundamental ecosystem development. Key opportunities include continued DeFi dominance and tokenization growth, while risks involve regulatory uncertainty and high volatility near overbought levels. Investors should monitor support levels and broader crypto market sentiment.
No Aura AI signal available yet.
What Pluang investors did over the last 30 days
Latest headlines on both assets
A crypto asset designed for decentralized applications and deployment of smart contracts, which are created and operated without any fraud, interruption, control or interference from a third party. It is the second most valuable crypto asset after BTC.
Read more on ETH →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 →