APRO vs Recall — how do they compare? APRO trades at Rp2,638 (market cap Rp672,43M, Rp146,89M 24h volume), while Recall trades at Rp871.39 (market cap Rp290,22M, Rp28,32M 24h volume). The key difference: APRO is far larger — about 2.3× Recall's market cap, and APRO's circulating supply is 250M / 1B AT (25%) versus 329,4M / 1B RECALL (33%) for Recall. Which is the better fit depends on your goals — on Pluang, investors hold APRO for 5 Days and Recall for 8 Days on average.
| AT | RECALL | |
|---|---|---|
Market Cap | Rp672,43M | Rp290,22M |
Volume (24h) | Rp146,89M | Rp28,32M |
Circulating Supply | 250M / 1B AT (25%) | 329,4M / 1B RECALL (33%) |
Typical Hold Time | 5 Days | 8 Days |
Signals from Pluang's Aura AI — not financial advice
AT token trades at Rp2,784.37 with a market cap of Rp701.62M, showing limited circulating supply at 25% of max. The 5-day average hold time suggests moderate trader retention. Recent news appears unrelated to the cryptocurrency project, requiring careful entity distinction.
Outlook remains cautious due to low market cap and potential misidentification risks. Key opportunity lies in proper project validation, while major risks include liquidity constraints and market confusion with similarly named entities.
Recall (RECALL) is trading at Rp875.93 with a market cap of Rp287.77M, showing bullish technical signals with strong moving average support and neutral oscillators. The token trades near resistance at Rp886 with solid support at Rp839. With only 33% of the 1M max supply in circulation and an average hold time of 8 days, the asset shows limited distribution but active trading.
Overall outlook remains cautiously optimistic given strong technical momentum, though limited fundamental developments and low market cap present both opportunity for growth and significant volatility risk. Key risks include low liquidity and the absence of recent ecosystem updates.
What Pluang investors did over the last 30 days
Allora is an open intelligence platform that enables AI systems to learn, adapt, and improve together. It provides a shared layer where multiple models are combined, compared, and refined in real time, allowing users and developers to contribute to and benefit from collective intelligence.
Read more on AT →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 →