Hooked Protocol vs OpenLedger — how do they compare? Hooked Protocol trades at Rp131 (market cap Rp62,05M, Rp113,8M 24h volume), while OpenLedger trades at Rp3,611 (market cap Rp1,16T, Rp150,96M 24h volume). The key difference: OpenLedger is far larger — about 18694.6× Hooked Protocol's market cap, and OpenLedger's supply is capped (319M / 1B OPEN (32%)) while Hooked Protocol's keeps growing. Which is the better fit depends on your goals — on Pluang, investors hold Hooked Protocol for 20 Days and OpenLedger for 23 Days on average.
| HOOK | OPEN | |
|---|---|---|
Market Cap | Rp62,05M | Rp1,16T |
Volume (24h) | Rp113,8M | Rp150,96M |
Circulating Supply | 288,4M HOOK | 319M / 1B OPEN (32%) |
Typical Hold Time | 20 Days | 23 Days |
Signals from Pluang's Aura AI — not financial advice
Hooked Protocol (HOOK) currently holds a market capitalization of Rp62.05 million with a circulating supply of 288.4 million tokens. The token exhibits a short average hold time of 20 days, suggesting active trading. Technical analysis is limited due to the absence of current price data, but the low market cap and high circulation indicate significant volatility potential. No recent protocol updates or major ecosystem developments have been reported.
The overall outlook for HOOK is speculative, with opportunities tied to potential network growth and increased utility. Major risks include extreme price volatility, low liquidity, and the absence of recent development momentum. Investors should be cautious and monitor on-chain activity for signs of renewed project engagement.
No Aura AI signal available yet.
What Pluang investors did over the last 30 days
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Hooked Protocol is an innovative edutainment network designed to introduce billions of users to Web3. It promotes mass adoption through engaging, gamified, and social learning experiences. Hooked simplifies onboarding for learners and developers by focusing on three key areas: infrastructure, academy, and ecosystem.
Read more on HOOK →OpenLedger is an AI blockchain that unlocks liquidity for monetizing data, models, applications, and agents. It facilitates the training, deployment, and on-chain tracking of specialized AI models and data, addressing critical challenges related to transparency, attribution, and verifiability in AI.
Read more on OPEN →