Compare Obol (OBOL) vs OpenLedger (OPEN) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Obol vs OpenLedger — how do they compare? Obol trades at Rp157.55 (market cap Rp30,1M, Rp51,72M 24h volume), while OpenLedger trades at Rp3,355 (market cap Rp1,07T, Rp132,7M 24h volume). The key difference: OpenLedger is far larger — about 35548.2× Obol's market cap, and Obol's circulating supply is 161,3M / 500M OBOL (33%) versus 319M / 1B OPEN (32%) for OpenLedger. Which is the better fit depends on your goals — on Pluang, investors hold Obol for 16 Days and OpenLedger for 23 Days on average.
| OBOL | OPEN | |
|---|---|---|
Market Cap | Rp30,1M | Rp1,07T |
Volume (24h) | Rp51,72M | Rp132,7M |
Circulating Supply | 161,3M / 500M OBOL (33%) | 319M / 1B OPEN (32%) |
Typical Hold Time | 16 Days | 23 Days |
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
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About Obol
Obol develops vital technologies that enhance Ethereum's decentralization and security, currently protecting billions in staked ETH. Its Distributed Validators (DVs) offer better uptime, lower risk, and improved performance compared to traditional staking. Using the middleware Charon, DVs enable Ethereum validators to function across multiple operators and machines, featuring threshold signing and distributed key generation for added resilience. The Obol Collective, powered by the OBOL Token, includes the largest decentralized operator ecosystem with major players like Lido and Blockdaemon. The Obol Stack simplifies the deployment of Ethereum nodes and other decentralized infrastructures, advancing the Ethereum economy.
Read more on OBOL →About OpenLedger
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 →
