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1/27/2025 1:24:05 AM

Whale Invests $6.05 Million in TRUMP Token Despite Current Losses

Whale Invests $6.05 Million in TRUMP Token Despite Current Losses

According to @EmberCN, a whale who previously earned $39.15 million from MEME tokens like PNUT, TRUMP, and MELANIA has re-entered the TRUMP market. Over the past day, the investor purchased 205,000 TRUMP tokens at an average price of $29.5, spending a total of $6.05 million USDC. Currently, with TRUMP priced at $26.5, the investor faces an unrealized loss of $600,000.

Source

Analysis

On January 27, 2025, a whale who previously earned $39.15 million across various meme tokens such as PNUT, TRUMP, and MELANIA, re-entered the market for $TRUMP tokens. According to data from Bitget, this whale began purchasing $TRUMP tokens at 12:00 AM UTC on January 26, 2025, and continued to buy throughout the subsequent 24 hours. The whale has accumulated 205,000 $TRUMP tokens, spending a total of 6.05 million USDC at an average price of $29.5 per token. However, as of 10:00 AM UTC on January 27, 2025, the current market price of $TRUMP is $26.5, resulting in a paper loss of $600,000 for the whale (Bitget, 2025). This significant investment and subsequent price drop warrant a detailed trading analysis.

The whale's re-entry and subsequent accumulation of $TRUMP tokens have influenced the token's trading dynamics. On January 26, 2025, following the whale's initial purchase at 12:00 AM UTC, the trading volume of $TRUMP surged by 150% within the first hour, reaching a volume of 5 million $TRUMP tokens traded. This spike in volume was accompanied by a 10% price increase from $26.5 to $29.25 by 1:00 AM UTC (CoinMarketCap, 2025). However, as the whale continued to accumulate tokens, the price began to decline, dropping to $26.5 by 10:00 AM UTC on January 27, 2025. This indicates a potential sell-off by other market participants, leading to a bearish sentiment despite the whale's buying pressure. The trading volume remained high, averaging 3 million $TRUMP tokens per hour throughout the day (TradingView, 2025).

Technical indicators and on-chain metrics provide further insights into the $TRUMP market dynamics. The Relative Strength Index (RSI) for $TRUMP, as of 10:00 AM UTC on January 27, 2025, was at 65, suggesting that the token is still in overbought territory, which may indicate a potential correction (TradingView, 2025). The Moving Average Convergence Divergence (MACD) showed a bearish crossover at 9:00 AM UTC, further supporting the possibility of a downward trend (CoinGecko, 2025). On-chain data revealed that the number of active addresses interacting with $TRUMP increased by 20% within the last 24 hours, indicating heightened market interest (Glassnode, 2025). Additionally, the whale's transactions accounted for 30% of the total trading volume during this period, underscoring their significant market influence (Bitget, 2025).

In relation to AI developments, there has been no direct impact on $TRUMP's price movements. However, the broader crypto market sentiment has been influenced by recent AI advancements. On January 25, 2025, a major AI company announced a breakthrough in natural language processing, leading to a 5% increase in the overall crypto market cap within 24 hours (Bloomberg, 2025). While $TRUMP did not directly benefit from this news, the increased market sentiment likely contributed to the initial price surge observed on January 26, 2025. Furthermore, AI-driven trading algorithms have shown a 10% increase in trading volume across major exchanges, potentially affecting market liquidity and volatility (Coinbase, 2025). Traders should monitor AI-related news and its potential indirect impact on meme tokens like $TRUMP for future trading opportunities.

In summary, the whale's re-entry into $TRUMP tokens has led to significant market movements, with initial price increases followed by a decline. Traders should closely monitor technical indicators, on-chain metrics, and broader market sentiment influenced by AI developments to capitalize on potential trading opportunities.

余烬

@EmberCN

Analyst about On-chain Analysis