Golem vs OpenLedger — how do they compare? Golem trades at Rp1,820 (market cap Rp1,81T, Rp58,36M 24h volume), while OpenLedger trades at Rp2,685 (market cap Rp825,62M, Rp89,14M 24h volume). The key difference: Golem is far larger — about 2192.3× OpenLedger's market cap, and Golem's circulating supply is 1B / 1B GLM (100%) versus 309,6M / 1B OPEN (31%) for OpenLedger. Which is the better fit depends on your goals — on Pluang, investors hold Golem for 19 Days and OpenLedger for 22 Days on average.
| GLM | OPEN | |
|---|---|---|
Market Cap | Rp1,81T | Rp825,62M |
Volume (24h) | Rp58,36M | Rp89,14M |
Circulating Supply | 1B / 1B GLM (100%) | 309,6M / 1B OPEN (31%) |
Typical Hold Time | 19 Days | 22 Days |
Signals from Pluang's Aura AI — not financial advice
No Aura AI signal available yet.
OpenLedger (OPEN) is currently trading at Rp2,683 with a market cap of Rp828.74 million, showing bearish technical signals across multiple indicators. The token has a circulating supply of 309.6 million OPEN (31% of max supply) with an average hold time of 22 days. Technical analysis indicates strong bearish momentum with moving averages showing 12 sell signals versus 1 buy, while oscillators remain neutral. The asset is trading below its pivot point of Rp2,668, testing support levels.
Overall outlook remains cautious with the token facing significant technical headwinds. Key opportunities include potential oversold conditions (RSI_6 at 17.83) and support at Rp2,413. Major risks include continued bearish momentum, low liquidity, and regulatory uncertainty in the crypto space. Investors should monitor for breakouts above Rp2,787 resistance for trend reversal confirmation.
What Pluang investors did over the last 30 days
Golem Network is an open-source, decentralized platform that provides computing power for the AI industry. It operates as a peer-to-peer marketplace where users exchange GLM tokens to rent or share idle computing resources.
Read more on GLM →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 →