#Whale Loses Over $1 Million#
Hot Topic Overview
Overview
Recently, several whales have incurred floating losses in the cryptocurrency market, the most severe being a bot whale address. It spent $22 million yesterday to buy 2.1 million MELANIA and partially stopped the loss at an average price of 7.54, losing about 25%, resulting in a floating loss of over $10.6 million, making it the largest floating loss address for MELANIA. Additionally, another whale incurred a $3.53 million floating loss on MELANIA purchased yesterday for $5.1 million. Renowned trader Ansem also sold 194,799 TRUMP 2 hours ago, incurring a loss of $2.55 million. These events reflect the recent intense volatility in the cryptocurrency market. Investors need to invest cautiously and implement risk control measures.
Ace Hot Topic Analysis
Analysis
Recently, several whale traders have suffered massive losses in the cryptocurrency market. One robot whale address spent $22 million yesterday to buy 2.1 million MELANIA at an average price of $10.5, and partially cut losses by about 25% at an average price of $7.54. Currently, the floating loss is over $10.6 million (-65.04%), making it the largest floating loss address for MELANIA. In addition, another whale spent 20,185 SOL (worth $5.1 million) to buy 440,136 MELANIA at $11.60 yesterday. These MELANIA are currently worth $560,000, resulting in a floating loss of $3.53 million for the whale. Meanwhile, well-known trader Ansem sold 194,799 TRUMP (worth $6.83 million) two hours ago, losing $2.55 million. These massive floating losses reflect the high volatility and risks of the current cryptocurrency market, reminding investors to be cautious and manage risks when investing.
Public Sentiment · Discussion Word Cloud
Public Sentiment
Discussion Word Cloud
Classic Views
Whales may face significant floating losses due to market volatility when making large trades in the cryptocurrency market.
Whale trading activities can have a certain impact on the market, such as causing large price fluctuations.
Whale trading strategies may be risky, such as buying at the top or selling at the bottom.
Whale floating losses may be related to the decline in the value of the project itself, such as poor project fundamentals or low market sentiment.