Solayer vs OpenLedger — how do they compare? Solayer trades at Rp1,052 (market cap Rp506,2M, Rp168,21M 24h volume), while OpenLedger trades at Rp3,606 (market cap Rp1,16T, Rp150,96M 24h volume). The key difference: OpenLedger is far larger — about 2291.6× Solayer's market cap, and OpenLedger's supply is capped (319M / 1B OPEN (32%)) while Solayer's keeps growing. Which is the better fit depends on your goals — on Pluang, investors hold Solayer for 35 Days and OpenLedger for 23 Days on average.
| LAYER | OPEN | |
|---|---|---|
Market Cap | Rp506,2M | Rp1,16T |
Volume (24h) | Rp168,21M | Rp150,96M |
Circulating Supply | 475,5M LAYER | 319M / 1B OPEN (32%) |
Typical Hold Time | 35 Days | 23 Days |
Signals from Pluang's Aura AI — not financial advice
Solayer (LAYER) is currently trading at Rp1,062.58 with a market cap of Rp506.2 million, showing a bearish technical signal overall. The asset is trading below its pivot point of Rp1,071, with immediate support at Rp1,053. The moving averages indicate a strong bearish trend, while oscillators are neutral. No recent major protocol updates or ecosystem developments were identified.
The outlook remains cautious due to the prevailing bearish technical structure and limited fundamental catalysts. Key opportunities include potential bounces from support levels, but major risks involve low liquidity and high volatility typical of small-cap crypto assets. Investors should monitor for any shifts in on-chain activity or exchange listings.
No Aura AI signal available yet.
What Pluang investors did over the last 30 days
Solayer is the first blockchain to use specialized hardware chips to reach over 1 million transactions per second and ultra-fast network speeds. Its InfiniSVM architecture uses advanced tech like SDN, RDMA, and InfiniBand to boost performance and lower latency. This allows for near-instant blockchain applications at massive scale.
Read more on LAYER →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 →