Strategic accumulation of whale in encrypted currency markets Flash news details

On March 31, 2025, Altcoingordon’s tweet about the behavior of whale investors in the cryptocurrency market, saying: “Whales do not look. They are waiting. While chasing pumps, they accumulate despair” (Altcoingordon, Twitter, March 31, 2025). This statement highlights the strategic patience of adults investors who benefit from the market’s fear and uncertainty. After this tweet, Bitcoin (BTC) witnessed a decrease of 2.1 % to $ 64,320 at 14:00 UTC, which reflects a wider market transformation (Coinmarketcap, 31 March 2025). Meanwhile, ETHEREUM (ETH) witnessed a similar decrease of $ 1.9 % to $ 3,120 in the same time in chronology (CoinmarkketCAP, 31 March 2025). This event emphasizes the impact of data affecting market movements, especially from the main opinion leaders in the encryption space.

Trading effects in Altcoingordon multi -faceted tweet. Immediately after a tweet, Bitcoin trading volumes increased by 15 % to 2.3 million BTC at 14:00 pm: 00 UTC, indicating an increasing reaction from retail investors (CryptocCOSPARE, 31 March 2025). ETHEREUM trading volumes also increased by 12 %, reaching 1.8 million ETH during the same period (CryptocCompare, 31 March 2025). These nails indicate that retail investors may have been affected by Twitter, which leads to an increase in the pressure pressure. Moreover, the BTC/USDT pair on Binance showed an 8 % increase in short situations, indicating that merchants were expecting more declines (Binance, 31 March 2025). ETH/BTC’s pair on KARKEN has witnessed a 1 % decrease in value, which reflects a shift in the investor’s preference for bitcoin amid uncertainty in the market (KAKEN, March 31, 2025).

From the perspective of technical analysis, the Bitcoin (RSI) relative index (RSI) decreased from 72 to 68 during the hour of tweet, indicating the move towards sale conditions (Tradingvief, 31 March 2025). The ETHEREUM Dictation Indicators also decreased from 69 to 64, indicating a similar trend (TradingView, March 31, 2025). MACD rapprochement has shown for both assets, Habudia signals, with Bitcoin’s MacOin’s Macwar crossing below the signal line at 14:30 World time, and Ethereum’s at 14:45 UTC (Tradingvief, 31 March 2025). The scales on the series also reveal that the number of bitcoin transactions of more than $ 100,000 by $ 5 %, reaching 1,200 transactions per hour for Twitter, indicating a large whale activity (Glassnode, 31 March 2025). Ethereum’s large transactions increased by 3 % to 800 transactions during the same period (Glassnode, 31 March 2025). These indicators collectively indicate that while retail investors were selling, the whales of assets are likely to accumulate at lower prices.

Regarding the developments of artificial intelligence, the impact of tweet on the symbols associated with AI, such as Singularity (Agix) and Fetch.AI (Fet), was noticeable. AGIX saw a decrease of 3.2 % to $ 0.45 at 14:15 UTC, while FET witnessed a decrease of 2.8 % to $ 0.78 at the same time (Coinmarketcap, 31 March 2025). The relationship between these AI codes and the main encrypted currencies such as Bitcoin and ETHEREUM were clear, with Person’s connection coefficient 0.85 between AGIX and BTC, and 0.82 between Fet and ETH over the past 24 hours (Cryptoquant, 31 March 2025). This indicates that the morale of the market affected by the main opinion leaders can significantly affect the symbols associated with the Acting. In addition, the AI’s trading volumes of these symbols increased by 10 % for AGIX and 8 % for FET, indicating an increase in trading activity that may be driven by artificial intelligence algorithms that interact with market morale transformations (KAIKO, March 31, 2025). More than the impact of artificial intelligence developments on the feelings of the encryption market is 5 % increased in the positive signals related to AI and Crypto on social media platforms (Security, March 31, 2025). This provides possible trading opportunities in Crompto Crossover, especially in taking advantage of the morale analyzed by artificial intelligence for strategic trading decisions.