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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116 ZRO LayerZero | 117 CAKE PancakeSwap |
119 STABLE Stable | 120 RAVE RaveDAO |
121 VIRTUAL Virtuals Protocol | 122 DEXE DeXe |
125 PENGU Pengu | 127 CHZ Chiliz |
128 DCR Decred | 128 STX Stacks |
130 MON Monad | 131 GTETH GTETH |
132 XTZ Tezos | 133 SEI Sei |
134 VVV Venice Token | 135 AERO Aerodrome Finance |
136 EDGEX edgeX | 137 GHO GHO |
138 SUN SUN | 139 ETHFI Ether.fi |
142 NFT AINFT | 143 CRV Curve |
145 GNO Gnosis | 146 SBTC sBTC |
147 BTT BitTorrent | 148 BSV BitcoinSV |
150 XPL Plasma | 152 INJ Injective |
153 SPX SPX6900 | 155 LIT Lighter |
157 MSOL Marinade Staked SOL | 158 CFX Conflux |
159 KAIA Kaia | 160 LDO Lido DAO Token |
161 FLOKI Floki Inu | 162 APEPE Ape and Pepe |
163 TIA Celestia | 165 2Z DoubleZero |
166 SYRUP Maple | 167 PYTH Pyth Network |
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.