BigTime vs Data Network — how do they compare? BigTime trades at Rp91.86 (market cap Rp266,8M, Rp157,58M 24h volume), while Data Network trades at Rp3,631 (market cap Rp1,3T, Rp249,8M 24h volume). The key difference: Data Network is far larger — about 4872.6× BigTime's market cap, and BigTime's supply is capped (2,8B / 5B BIGTIME (57%)) while Data Network's keeps growing. Which is the better fit depends on your goals — on Pluang, investors hold BigTime for 37 Days and Data Network for 6 Days on average.
| BIGTIME | DATA1 | |
|---|---|---|
Market Cap | Rp266,8M | Rp1,3T |
Volume (24h) | Rp157,58M | Rp249,8M |
Circulating Supply | 2,8B / 5B BIGTIME (57%) | 357,7M DATA1 |
Typical Hold Time | 37 Days | 6 Days |
Signals from Pluang's Aura AI — not financial advice
BigTime (BIGTIME) trades at Rp94.14 with a market cap of Rp266.95 million, showing a bearish technical signal from moving averages despite neutral oscillators. The token has a circulating supply of 2.8 million out of a maximum 5 million, with a 57% circulation rate and average hold time of 37 days. No major protocol updates or ecosystem news were noted recently.
Overall outlook remains cautious due to bearish momentum and limited liquidity. Key opportunities include potential rebounds from support levels, while risks involve low trading volume and regulatory uncertainty in the crypto space. Investors should monitor for any network developments or exchange listings that could impact price action.
No Aura AI signal available yet.
What Pluang investors did over the last 30 days
No sentiment data available yet.
Big Time is a multiplayer action RPG for PC that combines a fast combat system with an open game economy. In this game, players play an active role in generating and exchanging in-game items. The game aims to make Web3 elements invisible to players, ensuring they do not hinder entertainment and appeal to a wider audience.
Read more on BIGTIME →DATA, previously known as IP, is the native token of DATA Network, a purpose-built Layer 1 blockchain for sourcing, licensing, and compensating contributors of AI training data. The EVM-compatible network uses its Trace audit layer to create verifiable records of data provenance and contributor payments.
Read more on DATA1 →