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
1511 INTER Inter Milan Fan Token | 1514 SEND Suilend |
1516 NUM Numbers Protocol | 1521 FHE Mind Network |
1523 RLS RAYLS | 1524 SMTX Swarm Markets |
1527 SUKU SUKU | 1529 AMDON AMD Ondo Tokenized |
1533 ATLAS Star Atlas | 1538 NODL Nodle Network |
1539 DORA Dorayaki | 1540 VXT VOXTO |
1543 VARA VaraNetwork | 1544 SPARKLET Upland |
1546 BEAM Beam | 1548 TNK Trac Network |
1549 CRYPTOBURG Crypto Burger | 1551 HEMI Hemi |
1556 MSQ MSQUARE | 1556 GHST Aavegotchi |
1558 CAMP Camp Network | 1559 BMT Bubblemaps |
1562 BEEFI Beefy.Finance | 1568 TRADE Polytrade |
1571 GME GameStop | 1572 HEART Humans |
1581 NUTS Thetanuts Finance | 1590 BOX Debox |
1591 SUPE SUPE | 1593 LLYON Eli Lilly Ondo Tokenized |
1594 ALEPH Aleph.im | 1597 CLOUD Sanctum |
1603 CRTS Cratos | 1604 OVR Ovr |
1605 MAVIA Heroes of Mavia | 1606 XTTA TrendX |
1616 STT Statter Network | 1618 SCOR SCOR |
1620 ATS Alltoscan | 1625 KDA Kadena |
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。