Openloot vs Recall — how do they compare? Openloot trades at Rp94.94 (market cap Rp76,05M, Rp8,02M 24h volume), while Recall trades at Rp611.17 (market cap Rp197,76M, Rp105,11M 24h volume). The key difference: Recall is far larger — about 2.6× Openloot's market cap, and Openloot's circulating supply is 800,7M / 5B OL (17%) versus 323,1M / 1B RECALL (33%) for Recall. Which is the better fit depends on your goals — on Pluang, investors hold Openloot for 8 Days and Recall for 8 Days on average.
| OL | RECALL | |
|---|---|---|
Market Cap | Rp76,05M | Rp197,76M |
Volume (24h) | Rp8,02M | Rp105,11M |
Circulating Supply | 800,7M / 5B OL (17%) | 323,1M / 1B RECALL (33%) |
Typical Hold Time | 8 Days | 8 Days |
Signals from Pluang's Aura AI — not financial advice
No Aura AI signal available yet.
Recall is trading at Rp608.92 with a bearish technical signal, currently testing resistance at R1 (Rp607). The token shows neutral oscillators but bearish moving averages, indicating short-term pressure. With only 33% of the max 1M supply circulating and an average hold time of 8 days, on-chain activity appears limited. No major protocol updates or ecosystem developments were noted in recent data.
Overall outlook remains cautious due to weak technical momentum and low liquidity. Key opportunities include potential rebounds from support levels (S1: Rp579, S2: Rp563) if buying interest emerges. Major risks include high volatility from thin trading volumes, regulatory uncertainty for crypto assets in Indonesia, and limited network adoption hindering fundamental growth.
What Pluang investors did over the last 30 days
Open Loot is a Web3 gaming platform and marketplace that helps developers and publishers launch and distribute their games. It provides tools for go-to-market strategies, user experience, payments, and more.
Read more on OL →Recall is a decentralized skill marketplace where communities fund, rank, and find AI solutions that fit their needs. It provides transparent, verifiable reputation infrastructure for the AI agent economy through economic incentives and performance-based evaluation.
Read more on RECALL →