比特幣（BTC）合併關鍵阻力目標以下，因為BTC價格預測使低於$ 90,000

Cointelegraph Markets Pro和TradingView的數據顯示，BTC/USD在一夜之間重新測試了92,000美元作為支持。

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

比特幣（BTC）於4月24日在關鍵的阻力目標下合併，因為BTC價格預測使低於$ 90,000的水平發揮了作用。

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.

比特幣繼續消除新聞事件，使股票的波動使股票的波動率降低，而在本週早些時候從紀錄高點滑落後，黃金試圖穩定。

"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.

“現在沒有新聞的市場在當天上漲 +1％，” Kobeissi信件與標準普爾500指數匯總的交易資源在其X上的最新分析的一部分中總結了。

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

“價格動作變得越來越有趣，但是我們會看看它是否發揮作用。想法？”

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

據報導， / DeepMind的AI模型可以對財務數據進行“因素分析”，並確定期貨市場中的套利機會。

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這樣的AI模型的出色性能尚未轉化為加密球體，交易者和分析師Rekt Capital在最新一代的AI在獨特域中表現的角度不同。

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.

根據報導，由DeepMind開發的AI模型因素專門研究稱為“因子分析”的技術分析技術。該技術用於識別財務數據中的模式和關係，這對於做出投資決策很有用。

"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：“我們習慣於看到Chatgpt和GPT-4這樣的模型做驚人的事情，但在加密貨幣中還沒有。但是DeepMind的AI模型“因素”顯然可以對財務數據進行因素分析，並確定了期貨市場中的套利機會。”

"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."

“據報導，因素可以通過分析大量數據並確定人類可能會錯過的模式來識別和利用期貨市場中的套利機會。它也可以進行因素分析以識別資產價格的關鍵驅動因素。”

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

該分析的重點是在長期下降趨勢的強烈突破之後，比特幣出現了進一步支持的潛力。

"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.

他總結說：“如果有必要，則比特幣繼續重複相對於牛市EMA的比特幣，相對於牛市EMA的EMAS EMAS的價格趨勢將降低到$ 87000（綠色EMA）水平。”

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

分析表明，下一個支持重新測試可能涉及87,000美元。