What MarsCat is
MarsCat (MCAT) is a token issued on BNB Chain, currently ranked 333rd by market capitalization among the assets we track. MarsCat is an ecosystem token: it runs as a token on an existing smart-contract chain rather than operating its own base layer. Its data doesn't slot it into a clear sector beyond the network it's deployed on, so its specifics come from the project itself.
How to approach MarsCat
An ecosystem token like MarsCat is only as strong as the use case behind it. Without rich categorization, the grounded approach is to weigh how it trades and how much supply exists against the project's stated purpose.
Background & fundamentals
MarsCat is issued as a token on BNB Chain rather than running its own base-layer blockchain. In sector terms it is most often filed under Binance Coin (BNB) Token (BEP-20) and Web3.
Where MarsCat sits in the market
Trading around $0.7141, MarsCat carries a market capitalization of $67.17M. Around $2.51M changes hands across exchanges in a typical 24-hour window. That is a turnover of about 3.74% of the float — a healthy level of activity for an asset this size.
Almost the entire MCAT supply is already in circulation (~100.0% of the 1B cap), so future dilution is effectively off the table. MCAT trades about -11% below its all-time high of $0.8004, within reach of prior peaks.
What the price history shows
Recent moves read 24-hour -5.48%.
Volatility profile
Recent action puts MarsCat in the High-volatility band — it has been actively trading, with daily moves that would be unusual in traditional equities.
How to evaluate MarsCat
The honest checklist for MCAT is short:
- Liquidity — how deep and reliable trading in MCAT actually is, since thin books amplify both moves.
- Supply dynamics — circulating versus maximum supply and the dilution that implies.
- Primary sources — what the project itself documents, because standardized sector data on MCAT is limited.
This page pulls live market data, on-chain stats where available, exchange-by-exchange volume, and our forecast model into one view so you can work through those questions in a single place. None of it is investment advice — it is a structured starting point for your own research.
