比特币（BTC）合并关键阻力目标以下，因为BTC价格预测使低于$ 90,000

Cointelegraph Markets Pro和TradingView的数据显示，BTC/USD在一夜之间重新测试了92,000美元作为支持。

Bitcoin (BTC) consolidated below a key resistance target on April 24 as a BTC price forecast brought sub-$90,000 levels into play.

比特币（BTC）于4月24日在关键的阻力目标下合并，因为BTC价格预测使低于$ 90,000的水平发挥了作用。

Bitcoin continues to brush off news events, leaving volatility to equities, while gold attempted to stabilize after slipping from record highs earlier in the week.

比特币继续消除新闻事件，使股票的波动使股票的波动率降低，而在本周早些时候从纪录高点滑落后，黄金试图稳定。

"The market is now up over +1% on the day on no news at all," trading resource The Kobeissi Letter summarized alongside a chart of the S&P 500 in part of its latest analysis on X.

“现在没有新闻的市场在当天上涨 +1％，” Kobeissi信件与标准普尔500指数汇总的交易资源在其X上的最新分析的一部分中总结了。

"The price action is getting interesting, but we'll see if it plays out. Thoughts?"

“价格动作变得越来越有趣，但是我们会看看它是否发挥作用。想法？”

/ DeepMind's AI model, Factor, can reportedly perform "factor analysis" on financial data and identify arbitrage opportunities in futures markets.

据报道， / DeepMind的AI模型可以对财务数据进行“因素分析”，并确定期货市场中的套利机会。

Pointing out that the stellar performance of AI models like ChatGPT and GPT-4 had yet to translate to the crypto sphere, trader and analyst Rekt Capital introduced a different angle on how the latest generation of AI was performing in a unique domain.

指出，像Chatgpt和GPT-4这样的AI模型的出色性能尚未转化为加密球体，交易者和分析师Rekt Capital在最新一代的AI在独特域中表现的角度不同。

According to reports, Factor, an AI model developed by DeepMind, specializes in a technical analysis technique known as "factor analysis." This technique is used to identify patterns and relationships in financial data, which can be useful for making investment decisions.

根据报道，由DeepMind开发的AI模型因素专门研究称为“因子分析”的技术分析技术。该技术用于识别财务数据中的模式和关系，这对于做出投资决策很有用。

"We're used to seeing models like ChatGPT and GPT-4 do amazing things, but not yet in crypto. But DeepMind's AI model 'Factor' can apparently perform factor analysis on financial data and identify arbitrage opportunities in futures markets, according to reports," Rekt Capital stated in part of his latest analysis on X.

Rekt Capital在X上的最新分析中指出：“我们习惯于看到Chatgpt和GPT-4这样的模型做惊人的事情，但在加密货币中还没有。但是DeepMind的AI模型“因素”显然可以对财务数据进行因素分析，并确定了期货市场中的套利机会。”

"Factor can reportedly identify and exploit arbitrage opportunities in futures markets by analyzing vast amounts of data and identifying patterns that humans might miss. It can also perform factor analysis to identify the key drivers of asset prices."

“据报道，因素可以通过分析大量数据并确定人类可能会错过的模式来识别和利用期货市场中的套利机会。它也可以进行因素分析以识别资产价格的关键驱动因素。”

This analysis focused on the potential for further support retests after Bitcoin clocked out of a strong breakout from a long-term downtrend.

该分析的重点是在长期下降趋势的强烈突破之后，比特币出现了进一步支持的潜力。

"Part of Bitcoin continuing to repeat mid-2021 price tendencies relative to the Bull Market EMAs would be a dip into the $87000 (green EMA) level for a post-breakout retest, if at all needed," he concluded.

他总结说：“如果有必要，则比特币继续重复相对于牛市EMA的比特币，相对于牛市EMA的EMAS EMAS的价格趋势将降低到$ 87000（绿色EMA）水平。”

The next support retest could thus involve $87,000, analysis suggests.

分析表明，下一个支持重新测试可能涉及87,000美元。