$SOL SOL, Solana can process hundreds of thousands of transactions per second . Solana's transaction fees are significantly lower compared to other blockchains . Solana's DeFi and NFT ecosystems are expanding rapidly.
XNY/USDT 24-hour news highlights: Codatta token surges explosively in the market On December 5, when the cryptocurrency market was changing rapidly, the Codatta (XNY/USDT) trading pair became the absolute focus. As the native asset of a decentralized data infrastructure platform, this token's price soared over 70% in the past 24 hours, rising from a low of 0.0041 USDT to 0.0073 USDT, with trading volume surging to 54 million USDT, an increase of 31.5% compared to the previous day. This explosive rise is attributed to the warming trend of AI data tokenization, as the Codatta platform transforms raw data into tradable assets, attracting numerous AI developers and institutional investors, pushing its market capitalization to over 17 million USDT, and its ranking to 1193 on CoinGecko. Experts point out that this round of hotspots may be related to the overall warming of Bitcoin and the revival of AI narratives, but caution is advised due to high volatility. Investors should pay attention to the support level of 0.0069 USDT, with potential targets aiming at 0.01 USDT. Codatta's innovative model is quietly reshaping the data economy landscape and is worth ongoing tracking. #xny $XNY {future}(XNYUSDT)
XNY/USDT 24-hour news highlights: Codatta token surges explosively in the market On December 5, when the cryptocurrency market was changing rapidly, the Codatta (XNY/USDT) trading pair became the absolute focus. As the native asset of a decentralized data infrastructure platform, this token's price soared over 70% in the past 24 hours, rising from a low of 0.0041 USDT to 0.0073 USDT, with trading volume surging to 54 million USDT, an increase of 31.5% compared to the previous day. This explosive rise is attributed to the warming trend of AI data tokenization, as the Codatta platform transforms raw data into tradable assets, attracting numerous AI developers and institutional investors, pushing its market capitalization to over 17 million USDT, and its ranking to 1193 on CoinGecko. Experts point out that this round of hotspots may be related to the overall warming of Bitcoin and the revival of AI narratives, but caution is advised due to high volatility. Investors should pay attention to the support level of 0.0069 USDT, with potential targets aiming at 0.01 USDT. Codatta's innovative model is quietly reshaping the data economy landscape and is worth ongoing tracking. #xny $XNY {future}(XNYUSDT)
#BTCvsETH Currently, Bitcoin trades near $118.6 K, while Ethereum sits around $3.82 K. Multiple analysts expect bullish momentum through 2025: • Bitcoin: forecasts range from $145 K by year-end (Finder’s panel) to bullish extremes like $200 K–$250 K—driven by ETF inflows, halving effects, and institutional demand  . Some fringe views even hint at $250 K or beyond . • Ethereum: near-term targets are $3.9 K–$4 K by July end (e.g. Fundstrat’s Mark Newton), while medium-term outlooks span $6 K–$15 K by year-end—Tom Lee and others see potential $10 K–$15 K with sustained ETF-driven demand . In summary: BTC could climb into the $140 K–$200 K range; ETH looks poised for $4 K–$10 K+, though both remain volatile with significant upside and downside risk.
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#BinanceTurns8 Join us in the #BinanceTurns8 celebration and win a share of up to $888,888 in BNB! https://www.binance.com/activity/binance-turns-8?ref=GRO_19600_W76GF
#MyStrategyEvolution My strategy evolution began with impulsive trades driven by emotions and hype. I soon realized the importance of discipline and risk management. I shifted towards structured approaches like trend following and support/resistance levels. As my understanding deepened, I incorporated technical indicators and backtesting to validate ideas. I learned from losses, refined entry/exit rules, and emphasized journaling. Gradually, I adopted a diversified, data-driven mindset, focusing on consistency over quick gains. Now, my strategy is a blend of technical analysis, market psychology, and strict risk control, designed to adapt with changing market conditions while preserving long-term profitability and mental resilience.