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.

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115 ZRO LayerZero | 116 CAKE PancakeSwap |
119 STABLE Stable | 120 DEXE DeXe |
121 VIRTUAL Virtuals Protocol | 124 PENGU Pengu |
127 STX Stacks | 128 CHZ Chiliz |
129 DCR Decred | 130 XTZ Tezos |
131 GTETH GTETH | 132 SEI Sei |
133 MON Monad | 134 RAVE RaveDAO |
135 GHO GHO | 136 SUN SUN |
137 EDGEX edgeX | 138 AERO Aerodrome Finance |
139 ETHFI Ether.fi | 140 VVV Venice Token |
142 CRV Curve | 143 NFT AINFT |
144 GNO Gnosis | 145 SBTC sBTC |
147 BTT BitTorrent | 147 BSV BitcoinSV |
150 XPL Plasma | 152 INJ Injective |
153 SPX SPX6900 | 156 MSOL Marinade Staked SOL |
157 LIT Lighter | 158 CFX Conflux |
159 FLOKI Floki Inu | 160 LDO Lido DAO Token |
161 KAIA Kaia | 162 TIA Celestia |
163 2Z DoubleZero | 164 APEPE Ape and Pepe |
166 PYTH Pyth Network | 167 SYRUP Maple |
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.