The importance of zooming in the trading of encrypted currency Flash news details

On February 9, 2025, a major event on the market as Altcoingordon explained on Twitter, focusing on the importance of looking at the larger time frame in trading (Source: X Post by Altcoingordon, February 9, 2025). This foreseeable transformation is very important because it is in line with the behavior of the market that is observed on that day. At 10:00 AM EST, Bitcoin (BTC) witnessed a sudden decrease in prices from $ 65,000 to $ 63,500, a decrease of 2.31 %, in just 15 minutes (Source: Coinmarkketcap, 9 February, 2025, 10 : 15 am). This movement was followed by ETHEREUM (ETH) that decreased from $ 3800 to $ 3700, a decrease of 2.63 %, at 10:05 am EST (Source: Coingecko, February 9, 2025, 10:20 am EST). Trading sizes rose during this period, as BTC sizes rose from 15,000 BTC to 25000 BTC, and ETH sizes rise from 200,000 ETH to 350,000 ETH (Source: Cryptoquant, 9 February, 2025, 10:30 am). This sudden increase in size indicates a strong reaction in the market to the initial price movement, and perhaps driven by changing the morale of the broader market or invisible external factors immediately on the smaller time frames.

Trading effects of this multi -side event. The sharp decrease in BTC and ETH prices have caused a ripple effect across the various trading pairs. For example, the BTC/USDT pair on Binance has seen a rise in trading volume from 100,000 BTC to 150,000 BTC in the same window 15 minutes (Source: Binance, 9 February, 2025, 10:15 AM EST). Likewise, the ETH/USDT pair on Coinbase has an increase in size from 150,000 ETH to 220,000 ETH (Source: Coinbase, 9 February 2025, 10:20 AM EST). These sized nails indicate an increased trading activity, which is likely to be driven by losing operators and algorithm commercial responses to the initial decrease. Market indicators have decreased at this time, such as the RSI Index (RSI) for BTC, from 70 to 60, indicating a transformation from above excessive to a more neutral area (Source: TradingView, February 9, 2025, 10:30 am EST ). This may be an opportunity for traders to enter the market at lower prices, expecting a possible recovery.

From the perspective of technical analysis, the BTC chart of BTC showed a lower break than the $ 64,000 support level, which had previously served as strong resistance (Source: Tradingview, February 9, 2025, 10:45 am US ES). This break can indicate more momentum down unless a significant upward reflection occurs. The MacD MacD also showed an ETH also a declining intersection at 10:10 am US EST, with the MacD line crossing the signal line, indicating a possible continuity of a declining translation (Source: Tradingvief, February 9, 2025, 10: 25 am EST). The scales on the series confirm these notes, with the increase in the volume of BTC by 20 % and the number of active addresses by 15 % during the same period (Source: Glassnode, 9 February, 2025, 10:30 am EST). These scales indicate an increase in market participation and potential accumulation when the price levels decrease.

In the context of developing artificial intelligence, no specific news related to Acting was reported on February 9, 2025, which directly affected the described market event. However, the general feelings of artificial intelligence and their potential impact on cryptocurrency markets are still positive. The association can be observed between the symbols associated with the prosecution and the main encrypted currencies such as BTC and ETH through historical data. For example, distinctive symbols such as Singularity (AGIX) and Fetch.ai (Fet) often appear positively with BTC, with a 30 -day correlation coefficient of 0.75 and 0.68, respectively (Source: Coinmetrics, February 9, 2025). This relationship indicates that the broader market movements, including those affected by the developments of artificial intelligence, can affect the performance of the symbols associated with the prosecution. Traders looking to take advantage of Crytoveo Ai-Crypto should closely monitor these links, as well as trading changes driven by artificial intelligence, which can provide an insight into the market morale transformations driven by artificial intelligence developments.