With the volatility of the cryptocurrency market, everyone is curious about the big direction and how far the market will move, both in short term and long term.

Sort by Market Cap
359 DEEP DeepBook | 362 XPR XPR Network |
363 RON Ronin Network | 364 GMX GMX |
365 RAVE RaveDAO | 367 VELO Velo |
368 UB Unibase | 369 WKC Wiki Cat |
370 ASTR Astar Token | 371 MOVE Movement Network |
372 FOGO Fogo | 373 TAG Tagger |
374 ELF aelf | 375 VENOM Venom |
376 ZETA ZetaChain | 377 MELANIA Melania Meme |
378 TBK TronBank | 379 ARIA AriaAI |
381 SKYAI SkyAI | 386 BRETT Brett |
387 GEOD GEODNET | 389 NPC Non-Playable Coin |
390 CRYPTOBURG Crypto Burger | 393 REKTCOIN Rekt |
394 VVS VVS Finance | 396 KAVA Kava |
397 ESPORTS Yooldo Games | 398 ALCH Alchemist AI |
399 CYS Cysic | 400 NANO Nano |
401 POLYX Polymesh | 402 KUB KUB Coin |
405 MOG Mog Coin | 407 BAN Comedian |
408 ARKM Arkham | 410 CCD Concordium |
412 AZTEC Aztec | 413 WAXL Axelar |
415 MANTRA MANTRA | 416 DESO Decentralized Social |
With an algorithm automated identifying historical data trends, this price prediction estimates the relationship with Bitcoin, Ethereum and the S&P500 as benchmark to individual tokens, and would adjust from time to time based on current market conditions. With such advanced machine learning, this prediction can be used to help users in gauging the probability of the crypto market in the future, although such prediction should not be taken as a financial advice.