"Shorting 42.966 million ASTERs" turned the giant whale's loss into a profit, and the current floating profit is 1.2 million USD.
Shorted a giant whale 42.966 million ASTERs with a leverage of 3x, worth approximately 51.3 million USD, from a floating loss of 1.1 million USD to a current profit of 1.2 million USD. The opening price is 1.208 USD and the closing price is 2.0858 USD.
The giant whale began to short 18.55 million Aster four days ago and added 24.41 million short orders from ASTER after today's "screaming orders" from CZ. Additionally, it also shorted DOGE/ETH/XRP/PEPE and other coins, with a total floating profit of 7.86 million dollars. There was also a limit order worth 24.51 million dollars in the range of "1.3488 - 1.3947 USD."
The giant whale manipulates large assets through high leverage and tries to take advantage of market volatility. For example, a giant whale shorted ASTER worth approximately 51.3 million USD with 3x leverage, and the conversion of profits and losses was very rapid, from a floating loss of 1.1 million USD to a profit of 1.2 million USD, demonstrating the double-edged sword effect of leverage in the volatile market. The success of this type of transaction heavily relies on the precise timing of entry, as high leverage also means higher liquidation risks. Once the price touches the liquidation price, it will result in the loss of all positions.
These trading behaviors are not isolated and often have a cascading reaction with the observations of market opinion leaders. For example, after CZ "screams", the giant whale chooses to increase short orders, indicating that large accounts sometimes signal or try to predict market sentiment and the impact of key figures. However, this also brings higher risks, as market sentiment can change very quickly, causing the position to shift rapidly from profit to loss, as evidenced by the "giant whale with a 100% win rate" suffering from recurring profits and losses over a short period.
It can be observed from many cases that it is very difficult to achieve consistent profits. Even giant whales with a successful track record, such as "ETH with a 75% win rate in World War IV," can lose money quickly when the trend reverses. On the other hand, some giant whales choose to "carry the orders" or positions when losing money, attempting to wait for a market pullback, but this often leads to further expansion of losses, like the trader who shorted at 2249 dollars and lost nearly 18 million dollars. This irrational behavior is common in high-leverage trading: the unwillingness to stop losses, ultimately leading to larger losses.
Additionally, these giant whales usually hedge or diversify across multiple currencies, but diversification does not always reduce risk. For example, there are giant whales shorting DOGE, ETH, XRP, PEPE, and other bundled tokens simultaneously. Although it is partially profitable, the violent volatility of individual currencies may still expose the overall position to high risks. Meanwhile, earning capital fees has also become an additional source of income for some short strategies, but this may not compensate for capital losses in a strong upward trend.
In general, these cases reveal the highly speculative nature of the cryptocurrency derivatives market. Giant whales attempt to control or follow market trends with capital advantages and information sensitivity, but high leverage makes the outcomes uncertain. Even experienced traders cannot guarantee stable long-term profits. Market volatility, liquidation mechanisms, and human weaknesses together form the high-risk characteristics of this environment.
