Whales Face Losses in TRUMP Token Sell-Offs
- Main event demonstrates significant losses in TRUMP token sales.
- Whales experience substantial financial hits.
- Market sentiment shows potential bearish outlook.

Whales sold substantial amounts of TRUMP tokens at losses on May 4, 2025, causing discussions in the crypto community.
Recent whale activity involving TRUMP token volatility highlights the volatility in
crypto markets, as traders liquidate positions at losses, impacting prices and sentiment.
A whale with wallet address 7X6Vu sold 427,600 TRUMP tokens for $4.9 million, down from an average entry price of $13.47 but sold at
$11.23 per token. This transaction resulted in a $760,000 loss. Meanwhile, another prominent whale transaction involved two
large sales totaling 765,128 TRUMP tokens, leading to a combined loss of $2.34 million. The negative market perception is further evidenced by
whales’ strategic retreat from TRUMP tokens.
The large-scale sell-offs have compounded the already decreasing price of the token, which was trading at $10.27 as of late March 2025.
Market analysts noted that such moves usually signify decreased confidence and anticipated further depreciation in value. The TRUMP token,
launched by Donald Trump in January, showcases the risks associated with politically-influenced cryptocurrencies. According to Whale Analyst, Lookonchain,
“The recent sell-offs by large holders suggest a growing negative sentiment towards TRUMP tokens, as they are anticipating further price declines and reallocating
their investments.” Despite initial winning trades, numerous significant players now shoulder losses exceeding their initial profits,
thus emphasizing the uncertain nature of such investments. The repeated pattern of substantial losses serves as a cautionary tale for investors in high-risk memecoins
such as TRUMP. Future regulatory scrutiny and technological adaptations might further shape the landscape for similar investments, with historical data suggesting potential
challenges for TRUMP token investors.