加密貨幣市場巨大的波動讓人們對其短期和長期的方向與行業發展深深地感到好奇。

按市值排序
833 C98 Coin98 | 835 LAYER Solayer |
836 WIN WINkLink | 837 SUPERFORM Superform |
838 FLIP Chainflip | 839 QANX QANplatform |
841 MAPO Map Protocol | 843 POWER Power Protocol |
844 TLTON iShares 20+ Year Treasury Bond ETF Ondo Tokenized | 845 ERA Caldera |
846 WELL Moonwell | 847 HYPER Hyperlane |
849 WET HumidiFi | 850 AURORA Aurora |
852 SAUCE Saucerswap | 853 MCTP Mumubit Token |
854 BLUAI Bluwhale AI | 857 BTRST Braintrust |
858 FTRB Faith Tribe | 861 ENERGYWEB Energy Web |
865 VELODROME Velodrome | 866 ETN Electroneum |
867 MBL MovieBloc | 869 HPOS10I HarryPotterObamaSonic10Inu |
871 DODO DODO | 872 DRIFT Drift Protocol |
874 AVA AVA | 877 AO AO |
878 ON Orochi Network | 879 LMTS Limitless |
880 SXT Space and Time | 881 ENSO Enso |
882 ALLO Allora | 883 RECALL Recall |
884 HSK Hashkey Platform Token | 886 STORJ Storj |
887 BASED Based | 888 L3 Layer3 |
890 BICO Biconomy | 892 JOE JOE |
透過自動識別歷史數據趨勢的算法,價格預測評估比特幣、以太幣和標準普爾500指數的關系,將其作為單個代幣的基準,並根據當前的市場情況不時做出調整。透過先進的機器學習,價格預測可以幫助用戶衡量未來加密貨幣市場的可能性,盡管這種預測不應被當作金融建議。