Ramses Exchange Price
RAMThis cryptocurrency is not listed for trading or services on Gate.
Ramses Exchange(RAM) Price Live Chart
Ramses Exchange(RAM) Price Today
Ramses Exchange(RAM) price today is $0.02136, with a 24-hour trading volume of $33.52K and as such Ramses Exchange(RAM) has a market cap of $2.76M, giving it a market dominance of 0.00042%. The Ramses Exchange(RAM) price moved -3.36% in the last 24 hours.
RAM Price Data
- 24h Turnover$33.52K
- All-Time High(ATH)$0.259
- 24h High$0.02257
- All-Time Low(ATL)$0.0049
- 24h Low$0.02081
RAM Market Cap Infos
- Market Cap$2.76M
- Fully Diluted Valuation$10.68M
- Market Cap/FDV25.89%
- Market SentimentPositive
RAM Supply
- Circulating Supply129.47M RAM
- Total Supply824.12M RAM
- Max Supply500M RAM
*Data is for reference only
Ramses Exchange(RAM) Price Prediction
Ramses Exchange(RAM) is predicted to average $0.01184 in 2025, with a potential swing between the lowest price $0.01006 and the highest price $0.01373. By 2035, Ramses Exchange(RAM) price could reach to $0.0557, offering a potential +84.00% return from today’s Ramses Exchange price.
Year | Minimum Price | Highest Price | Average Price | Change |
|---|---|---|---|---|
2025 | $0.01006 | $0.01373 | $0.01184 | -44.00% |
2026 | $0.008441 | $0.01905 | $0.01279 | -40.00% |
2027 | $0.01114 | $0.02038 | $0.01592 | -25.00% |
2028 | $0.009258 | $0.02142 | $0.01815 | -15.00% |
2029 | $0.01741 | $0.02453 | $0.01978 | -7.00% |
2030 | $0.01551 | $0.03102 | $0.02216 | +3.00% |
2031 | $0.02207 | $0.02978 | $0.02659 | +24.00% |
2032 | $0.02396 | $0.02959 | $0.02818 | +31.00% |
2033 | $0.0182 | $0.04103 | $0.02889 | +35.00% |
2034 | $0.02971 | $0.04405 | $0.03496 | +63.00% |
2035 | $0.02093 | $0.0557 | $0.0395 | +84.00% |
Ramses Exchange(RAM) Credibility Indicators
67.93
Reliability Score
PercentileTOP 30%
About Ramses Exchange (RAM)
Contract
0xaaa6c1e...50f262418
Explorers
arbiscan.io
Website
ramses.exchange
Community
Ramifi protocol is a decentralized algorithm stable currency. It does not anchor any assets and relies on algorithms to maintain dynamic balance. Ramifi adopts a unique value attribution method for synthetic commodities and uses a dynamically weighted basket of commodities to judge the purchasing power of the US dollar. This method accurately calculates the real-time purchasing power loss of inflation and the dollar, so that users can better understand the purchasing power of their underlying assets.
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