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在过去的24小时内,加密货币市场在过去24小时内见证了活动的增长和重大的价格变动,这是在人工智能(AI)与区块链技术集成的主要公告的推动下。
The cryptocurrency market displayed heightened activity and significant price movements over the past 24 hours, driven by major announcements in the integration of artificial intelligence (AI) with blockchain technology.
在过去的24小时内,加密货币市场在过去24小时内表现出了更高的活动和重大的价格变动,这是由人工智能(AI)与区块链技术集成的主要公告所驱动的。
Bitcoin (BTC) experienced a 3.2% surge within a brief 4-hour window, reaching $34,500 on Binance by 08:00 UTC as of Thursday, according to CoinMarketCap data.
根据CoinMarketCap的数据,比特币(BTC)在短暂的4小时窗口内经历了3.2%的涨幅,截至周四,Binance的二钱达到了34,500美元。
Ethereum (ETH) followed suit, climbing by 2.8% to $1,820 by 09:00 UTC, as reported by TradingView charts.
以太坊(ETH)效仿,沿UTC 09:00攀升2.8%至1,820美元,如TradingView Charts报道。
AI-related tokens recorded explosive growth during the same period. Fetch.ai (FET) saw a 12.5% increase, reaching $0.42 by 10:00 UTC, while Render Token (RNDR) jumped 9.3% to $2.15, per CoinGecko statistics.
与AI相关的代币在同一时期记录了爆炸性增长。 Fetch.ai(FET)增长了12.5%,UTC 10:00达到0.42美元,而Coingecko统计数据,渲染令牌(RNDR)跃升了9.3%,至2.15美元。
This sharp rise coincided with tech announcements highlighting advancements in AI models and their deployment on decentralized networks, particularly from Fetch.ai’s October 24 press release.
这一急剧上升与技术公告相吻合,强调了AI模型中的进步及其在分散网络上的部署,尤其是从Fetch.ai的10月24日的新闻稿中。
On-chain data from Glassnode at 12:00 UTC revealed a 22% boost in wallet activity for AI tokens like FET compared to the prior week, signaling growing investor interest in this sector.
与上一周相比,UTC的玻璃节数据在12:00 UTC的链链数据显示,AI令牌的钱包活动增长了22%,这表明投资者对该行业的兴趣增长。
Trading activity was notably intense, with BTC/USDT on Binance recording a 24-hour volume of $1.2 billion by 11:00 UTC, reflecting a 35% increase from the previous day.
交易活动极为激烈,BTC/USDT的Binance记录到11:00 UTC的24小时数量为12亿美元,反映了前一天的增长35%。
FET/USDT saw an even more dramatic surge, with trading volume spiking by 78% to $85 million, according to CoinGecko.
根据Coingecko的数据,FET/USDT的激增甚至更加戏剧性,交易量增加了78%,至8500万美元。
The narrowing bid-ask spread for FET/USDT to 0.05% as of 13:00 UTC indicated heightened liquidity, creating opportunities for traders to capitalize on rapid price swings.
截至13:00 UTC的FET/USDT的缩小出价扩散到0.05%,表示流动性增加,为交易者创造了利用快速价格波动的机会。
From a technical standpoint, momentum indicators highlighted bullish trends across several key assets.
从技术角度来看,动量指标强调了几个关键资产的看涨趋势。
Bitcoin’s Relative Strength Index (RSI) on the 4-hour chart reached 68 by 18:00 UTC, approaching overbought territory but maintaining a bullish outlook, according to TradingView analysis.
根据TradingView分析,比特币在4小时图表上的相对强度指数(RSI)达到了68,UTC达到了68个,接近超买的领土,但保持看涨的前景。
Ethereum’s Moving Average Convergence Divergence (MACD) showed a bullish crossover as of 19:00 UTC, signaling potential for further upside.
以太坊的移动平均收敛差异(MACD)显示出截至19:00 UTC的看涨跨界,这表明了进一步上升的潜力。
Meanwhile, RNDR/USDT broke above its 50-day moving average of $2.10 by 21:00 UTC, supported by a 24-hour volume increase of 55% to $65 million, per CoinGecko.
同时,RNDR/USDT在21:00 UTC的50天移动平均水平超过其50天移动平均水平上,并支持24小时的24小时数量增加55%至6500万美元,每套餐。
The broader market sentiment for AI-crypto assets remained optimistic.
AI-Crypto资产的更广泛的市场情绪仍然乐观。
Social media mentions of “AI crypto” spiked 40% over the past day, per LunarCrush data at 17:00 UTC, while Santiment reported a 30% increase in daily active addresses for RNDR at 15:00 UTC.
社交媒体提到“ AI Crypto”在过去的一天中飙升了40%,每个Lunarcrush数据在17:00 UTC,而Santiment报告说,RNDR在15:00 UTC的每日活动地址增加了30%。
These trends suggest that traders are closely monitoring AI-crypto developments, positioning themselves to benefit from short-term price movements.
这些趋势表明,交易者正在密切监视AI-Crypto的开发项目,将自己定位为从短期价格变动中受益。
Beyond individual tokens, the correlation between AI advancements and the broader cryptocurrency market is becoming increasingly evident.
除了个人令牌之外,AI进步与更广泛的加密货币市场之间的相关性越来越明显。
As of 14:00 UTC, the BTC/ETH trading volume on Coinbase reached $650 million, a 28% increase from the previous day, reflecting institutional interest in the AI-blockchain narrative.
截至14:00 UTC,Coinbase的BTC/ETH交易量达到6.5亿美元,比前一天增长了28%,反映了AI-Blockchain叙述的机构利益。
The Fetch.ai update on October 24, highlighting AI model deployments on decentralized platforms, appears to have amplified this sentiment, drawing traders and investors into projects at this intersection.
10月24日的Fetch.ai更新强调了分散平台上的AI模型部署,似乎已经放大了这种情绪,吸引了交易者和投资者在此交叉路口的项目中。
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