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 $0.01954, with a 24-hour trading volume of $49.28K and as such Ramses Exchange(RAM) has a market cap of $2.54M, giving it a market dominance of 0.00039%. The Ramses Exchange(RAM) price moved -3.30% in the last 24 hours.
RAM Price Data
- 24h Turnover$49.28K
- All-Time High(ATH)$0.259
- 24h High$0.02041
- All-Time Low(ATL)$0.0049
- 24h Low$0.01829
RAM Market Cap Infos
- Market Cap$2.54M
- Fully Diluted Valuation$9.77M
- Market Cap/FDV26.04%
- Market SentimentPositive
RAM Supply
- Circulating Supply130.19M RAM
- Total Supply826.34M RAM
- Max Supply500M RAM
*Data is for reference only
Ramses Exchange(RAM) Price Prediction
Ramses Exchange(RAM) is predicted to average $0.01213 in 2025, with a potential swing between the lowest price $0.01104 and the highest price $0.01601. By 2035, Ramses Exchange(RAM) price could reach to $0.06086, offering a potential +114.00% return from today’s Ramses Exchange price.
Year | Minimum Price | Highest Price | Average Price | Change |
|---|---|---|---|---|
2025 | $0.01104 | $0.01601 | $0.01213 | -37.00% |
2026 | $0.01055 | $0.01576 | $0.01407 | -27.00% |
2027 | $0.01119 | $0.01701 | $0.01492 | -23.00% |
2028 | $0.01357 | $0.02011 | $0.01596 | -18.00% |
2029 | $0.009382 | $0.02273 | $0.01804 | -7.00% |
2030 | $0.01977 | $0.02956 | $0.02038 | +4.00% |
2031 | $0.02172 | $0.02922 | $0.02497 | +28.00% |
2032 | $0.02222 | $0.03035 | $0.02709 | +39.00% |
2033 | $0.02211 | $0.04193 | $0.02872 | +47.00% |
2034 | $0.02084 | $0.04805 | $0.03533 | +81.00% |
2035 | $0.0296 | $0.06086 | $0.04169 | +114.00% |
Ramses Exchange(RAM) Credibility Indicators
68.04
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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