Maker vs OpenLedger — how do they compare? Maker trades at Rp28,643,798 (market cap --, Rp1,82T 24h volume), while OpenLedger trades at Rp3,342 (market cap Rp1,07T, Rp119,66M 24h volume). The key difference: OpenLedger's supply is capped (319M / 1B OPEN (32%)) while Maker's keeps growing, and Maker is more actively traded (Rp1,82T versus Rp119,66M). Which is the better fit depends on your goals — on Pluang, investors hold Maker for 59 Days and OpenLedger for 23 Days on average.
| MKR | OPEN | |
|---|---|---|
Market Cap | -- | Rp1,07T |
Volume (24h) | Rp1,82T | Rp119,66M |
Circulating Supply | -- | 319M / 1B OPEN (32%) |
Typical Hold Time | 59 Days | 23 Days |
Signals from Pluang's Aura AI — not financial advice
Maker (MKR) is the governance token of the MakerDAO protocol, a cornerstone of the decentralized finance (DeFi) ecosystem. Current market data is unavailable, but the token's value is intrinsically linked to the health and adoption of the DAI stablecoin system. The average hold time of 59 days suggests a base of committed, long-term participants focused on governance. No recent major protocol upgrades or ecosystem news were identified in the immediate review period.
The outlook for MKR is tied to the broader DeFi landscape. Key opportunities lie in continued DAI adoption and successful protocol governance. Major risks include smart contract vulnerabilities, regulatory scrutiny targeting DeFi, and high market volatility inherent to crypto assets. Investors should closely monitor on-chain metrics and governance proposals.
No Aura AI signal available yet.
What Pluang investors did over the last 30 days
No sentiment data available yet.
Latest headlines on both assets
Maker is an Ethereum token that aims to keep the value of another Ethereum token, DAI, relatively stable at around $1. Every holder of Maker tokens has the right to vote on several changes to the Maker Protocol.
Read more on MKR →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 →