Alliance Games vs io.net — how do they compare? Alliance Games trades at Rp45.89 (market cap Rp20,15M, Rp18,04M 24h volume), while io.net trades at Rp2,884 (market cap Rp1,05T, Rp448,17M 24h volume). The key difference: io.net is far larger — about 52109.2× Alliance Games's market cap, and Alliance Games's circulating supply is 414,4M / 2B COA (21%) versus 365,5M / 800M IO (46%) for io.net. Which is the better fit depends on your goals — on Pluang, investors hold Alliance Games for 2 Days and io.net for 33 Days on average.
| COA | IO | |
|---|---|---|
Market Cap | Rp20,15M | Rp1,05T |
Volume (24h) | Rp18,04M | Rp448,17M |
Circulating Supply | 414,4M / 2B COA (21%) | 365,5M / 800M IO (46%) |
Typical Hold Time | 2 Days | 33 Days |
Signals from Pluang's Aura AI — not financial advice
No Aura AI signal available yet.
IO is trading at Rp2,881 with a market cap of Rp1.03 trillion, showing bearish technical signals from moving averages despite neutral oscillators. The token's circulating supply is 365.5 million out of 800 million, with a 46% circulation rate and average hold time of 33 days. Recent trading shows support at Rp2,680 and resistance at Rp3,022, with RSI_6 indicating potential oversold conditions at 26.80 (CoinGecko, 2026-05-28).
Overall outlook remains cautious due to bearish momentum, though oversold RSI may present short-term opportunities. Major risks include high volatility, regulatory uncertainty in crypto markets, and limited liquidity depth. Investors should monitor network adoption and upcoming protocol updates for fundamental catalysts.
Alliance Games is a decentralized infrastructure platform for game development and hosting. It offers AI-powered creation tools, a blockchain-integrated multiplayer backend, and a global distributed node network.
Read more on COA →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 →