MovieBloc vs Recall — how do they compare? MovieBloc trades at Rp12.73 (market cap Rp246,63M, Rp40,65M 24h volume), while Recall trades at Rp616.21 (market cap Rp197,59M, Rp97,89M 24h volume). The key difference: MovieBloc is the larger of the two by market cap, and MovieBloc's circulating supply is 19,5B / 30B MBL (66%) versus 323,1M / 1B RECALL (33%) for Recall. Which is the better fit depends on your goals — on Pluang, investors hold MovieBloc for 62 Days and Recall for 8 Days on average.
| MBL | RECALL | |
|---|---|---|
Market Cap | Rp246,63M | Rp197,59M |
Volume (24h) | Rp40,65M | Rp97,89M |
Circulating Supply | 19,5B / 30B MBL (66%) | 323,1M / 1B RECALL (33%) |
Typical Hold Time | 62 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
MovieBloc is a decentralized movie and content distribution platform. MBL is used for economic activity in the ecosystem, such as watching premium content, creators paying translators, donating to other participants, and rewarding the users.
Read more on MBL →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 →