Genius Terminal vs io.net — how do they compare? Genius Terminal trades at Rp6,858 (market cap Rp2,31T, Rp197,66M 24h volume), while io.net trades at Rp1,986 (market cap Rp765,51M, Rp400,7M 24h volume). The key difference: Genius Terminal is far larger — about 3017.6× io.net's market cap, and Genius Terminal's circulating supply is 335,4M / 1B GENIUS (34%) versus 381,5M / 800M IO (48%) for io.net. Which is the better fit depends on your goals — on Pluang, investors hold Genius Terminal for 5 Days and io.net for 34 Days on average.
| GENIUS | IO | |
|---|---|---|
Market Cap | Rp2,31T | Rp765,51M |
Volume (24h) | Rp197,66M | Rp400,7M |
Circulating Supply | 335,4M / 1B GENIUS (34%) | 381,5M / 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 Rp 2,004, showing bearish technical signals with 18 sell indicators and strong selling pressure from moving averages. The price is near the pivot point of Rp 2,028, with support at Rp 1,954 and resistance at Rp 2,107. Circulating supply is 48% of max, with an average hold time of 34 days, indicating moderate network participation.
Overall outlook is cautious due to bearish momentum and neutral fundamentals. Key opportunities include potential rebounds from oversold RSI levels, while risks involve low liquidity and high volatility. Investors should monitor support breaks and ecosystem updates for directional cues.
What Pluang investors did over the last 30 days
GENIUS is the native asset of Genius Terminal, a platform that uses artificial intelligence to help users research, analyze, and navigate crypto markets. The ecosystem provides tools for market intelligence, project discovery, and information analysis, aiming to streamline how users interact with digital asset data.
Read more on GENIUS →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 →