#Whale trades result in a loss of $7.08 million.#
Hot Topic Overview
Overview
Recently, several whale trading losses have attracted attention, the most notable being a $7.08 million loss. This loss stems from investments in MELANIA and TRUMP tokens, and the whale currently still holds 1.82 million MELANIA and 193,700 TRUMP. Additionally, another whale has also experienced a $1.74 million unrealized loss on LDO. This whale, after a year of silence, added to their LDO holdings with a $4.98 million investment, but their current position is underwater. It's worth noting that despite the frequent occurrences of whale trading losses, some whales have also profited on other tokens. For instance, one whale earned a $620,000 unrealized profit on ZACHXBT, and another gained a $402,000 unrealized profit on TRUMP. Overall, whale trading behavior has a significant impact on market fluctuations, and investors need to carefully observe market dynamics and avoid blindly following the herd.
Ace Hot Topic Analysis
Analysis
Recently, a whale suffered huge losses on MELANIA and TRUMP, with current losses reaching $7.08 million. The whale spent $22 million yesterday to buy 2.1 million MELANIA at an average price of $10.5, and partially cut its losses by about 25% at an average price of $7.54, currently floating over $10.6 million. In addition, the whale spent $9.38 million USDC to buy 194,799 TRUMP at an average price of $48.14, and then sold at an average price of $35.04, losing $2.55 million. Although the whale currently holds 1.82 million MELANIA and 193,700 TRUMP, its investment in these tokens has shrunk significantly.
Public Sentiment · Discussion Word Cloud
Public Sentiment
Discussion Word Cloud
Classic Views
Whale trading losses are due to investing in meme coins, which are highly volatile and risky.
Whales use high leverage in trading, which amplifies losses.
Whale trading involves strategic errors, such as incorrect entry and exit points.
Whale trading is exposed to market risks, such as changes in market sentiment leading to significant price fluctuations.