Flux vs OpenLedger — how do they compare? Flux trades at Rp700.72 (market cap Rp292,73M, Rp26,05M 24h volume), while OpenLedger trades at Rp3,254 (market cap Rp1,04T, Rp121,2M 24h volume). The key difference: OpenLedger is far larger — about 3552.8× Flux's market cap, and Flux's circulating supply is 416,7M / 560M FLUX (75%) versus 319M / 1B OPEN (32%) for OpenLedger. Which is the better fit depends on your goals — on Pluang, investors hold Flux for 37 Days and OpenLedger for 23 Days on average.
| FLUX | OPEN | |
|---|---|---|
Market Cap | Rp292,73M | Rp1,04T |
Volume (24h) | Rp26,05M | Rp121,2M |
Circulating Supply | 416,7M / 560M FLUX (75%) | 319M / 1B OPEN (32%) |
Typical Hold Time | 37 Days | 23 Days |
Signals from Pluang's Aura AI — not financial advice
FLUX is trading at Rp704.53 with a market cap of Rp294.91M, showing neutral technical signals overall. The asset is positioned near the pivot point of Rp709, with immediate support at Rp698 and resistance at Rp727. With 75% of the maximum 560 million tokens in circulation and an average hold time of 37 days, the token demonstrates moderate distribution stability. Recent ecosystem developments focus on protocol upgrades and network enhancements typical of blockchain projects.
Outlook remains neutral with technical indicators mixed. Key opportunities include potential breakout above Rp727 resistance, while risks involve bearish moving averages and crypto market volatility. Investors should monitor on-chain activity and broader market sentiment for directional cues.
No Aura AI signal available yet.
What Pluang investors did over the last 30 days
No sentiment data available yet.
Flux is the new generation of scalable decentralized cloud infrastructure. The Flux ecosystem is a fully-operational suite of decentralized computing services and blockchain-as-a-service solutions which offer an interoperable, decentralized, AWS-like development environment.
Read more on FLUX →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 →