deBridge vs Recall — how do they compare? deBridge trades at Rp273.45 (market cap Rp525,42M, Rp31,1M 24h volume), while Recall trades at Rp876.64 (market cap Rp287,77M, Rp23,01M 24h volume). The key difference: deBridge is the larger of the two by market cap, and deBridge's circulating supply is 1,9B / 10B DBR (20%) versus 329,4M / 1B RECALL (33%) for Recall. Which is the better fit depends on your goals — on Pluang, investors hold deBridge for 10 Days and Recall for 8 Days on average.
| DBR | RECALL | |
|---|---|---|
Market Cap | Rp525,42M | Rp287,77M |
Volume (24h) | Rp31,1M | Rp23,01M |
Circulating Supply | 1,9B / 10B DBR (20%) | 329,4M / 1B RECALL (33%) |
Typical Hold Time | 10 Days | 8 Days |
Signals from Pluang's Aura AI — not financial advice
deBridge (DBR) is trading at Rp273.38 with a market cap of Rp525.42 million, exhibiting a bullish technical signal driven by moving averages, though oscillators are neutral. The token has a circulating supply of 1.9 million out of 10 million, with a 20% circulation rate and average hold time of 10 days. No major protocol updates or ecosystem news were found recently.
Overall outlook is cautiously optimistic due to bullish technicals, but risks include high RSI levels suggesting overbought conditions and low liquidity. Key opportunities lie in potential network growth, while major risks involve volatility and limited market depth. Investors should monitor support at Rp268 and resistance at Rp278.
No Aura AI signal available yet.
What Pluang investors did over the last 30 days
deBridge is the internet of liquidity for DeFi, enabling real-time transfer of assets and data across chains. By removing the risks of liquidity pools, it powers secure cross-chain interactions with deep liquidity, tight spreads, and guaranteed rates.
Read more on DBR →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 →