FLOKI vs OpenLedger — how do they compare? FLOKI trades at Rp0.4022 (market cap Rp3,85T, Rp232,38M 24h volume), while OpenLedger trades at Rp2,656 (market cap Rp826,47M, Rp90,07M 24h volume). The key difference: FLOKI is far larger — about 4658.4× OpenLedger's market cap, and OpenLedger's supply is capped (309,6M / 1B OPEN (31%)) while FLOKI's keeps growing. Which is the better fit depends on your goals — on Pluang, investors hold FLOKI for 46 Days and OpenLedger for 22 Days on average.
| FLOKI | OPEN | |
|---|---|---|
Market Cap | Rp3,85T | Rp826,47M |
Volume (24h) | Rp232,38M | Rp90,07M |
Circulating Supply | 9,6T FLOKI | 309,6M / 1B OPEN (31%) |
Typical Hold Time | 46 Days | 22 Days |
Signals from Pluang's Aura AI — not financial advice
No Aura AI signal available yet.
OpenLedger token is currently trading at Rp2,666 with a market cap of Rp821.72 million, showing bearish technical signals with 16 sell indicators versus 2 buy signals. The token trades near its pivot point of Rp2,668 with key support at Rp2,600 and resistance at Rp2,787. With only 31% of the 1 million token max supply in circulation and average hold time of 22 days, the asset shows limited liquidity and distribution.
Overall outlook remains cautious due to strong bearish technical momentum and thin market depth. Key opportunities include potential oversold conditions (RSI_6 at 17.83) while major risks include low liquidity, limited adoption metrics, and the token's proximity to critical support levels that could trigger further declines if breached.
What Pluang investors did over the last 30 days
Floki (FLOKI) is the people's cryptocurrency and the utility token of the Floki Ecosystem. It is a cryptocurrency birthed by fans and members of the Shiba Inu (SHIB) community and is inspired by (and named after) Elon Musk’s Shiba Inu.
Read more on FLOKI →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 →