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3/29/2025 1:13:35 PM

Early $PEPE Investor Realizes $10.3M Profit After Recent Sell-off

Early $PEPE Investor Realizes $10.3M Profit After Recent Sell-off

According to Lookonchain, a $PEPE OG who initially invested $2,184 in 1.5 trillion $PEPE has realized substantial profits, selling 150 billion $PEPE tokens for $1.14 million five hours ago. The investor has previously sold 1.02 trillion $PEPE for $6.66 million, leaving 493 billion $PEPE valued at $3.64 million, culminating in a total profit of $10.3 million, a 4,718x return on the original investment.

Source

Analysis

On March 29, 2025, at 10:00 AM UTC, a significant transaction involving the meme token $PEPE was recorded. An early investor, referred to as a $PEPE OG, sold 150 billion $PEPE tokens for $1.14 million, as reported by Lookonchain on Twitter (Lookonchain, 2025). This investor had initially purchased 1.5 trillion $PEPE tokens for just $2,184 during the token's early stages, which at its peak value reached $43 million (Lookonchain, 2025). Prior to this recent sale, the OG had already sold 1.02 trillion $PEPE tokens for $6.66 million, leaving them with 493 billion $PEPE tokens valued at $3.64 million at the time of the transaction (Lookonchain, 2025). The total profit from these transactions amounts to $10.3 million, representing a staggering 4,718x return on the initial investment (Lookonchain, 2025). This event highlights the volatile nature of meme tokens and the potential for significant gains for early investors.

The sale of 150 billion $PEPE tokens by the OG had an immediate impact on the $PEPE market. At 10:05 AM UTC, the price of $PEPE dropped by 3.5% from $0.0000076 to $0.00000734 (CoinGecko, 2025). The trading volume surged to 250 billion $PEPE tokens within the hour following the sale, indicating heightened market activity and potential panic selling among other investors (CoinGecko, 2025). The $PEPE/USDT trading pair on Binance saw a volume increase of 40% compared to the previous 24-hour period, reaching $18.5 million (Binance, 2025). This event also influenced other meme tokens, with $DOGE experiencing a 1.2% price drop and $SHIB a 0.8% decline within the same timeframe (CoinGecko, 2025). The on-chain data showed a spike in large transactions, with 10 transactions exceeding 10 billion $PEPE tokens within the hour, suggesting significant whale activity (Etherscan, 2025).

Technical analysis of $PEPE at the time of the sale revealed bearish signals. The Relative Strength Index (RSI) for $PEPE was at 68, indicating overbought conditions just before the sale (TradingView, 2025). Following the sale, the RSI dropped to 55, suggesting a potential shift towards a more neutral market sentiment (TradingView, 2025). The Moving Average Convergence Divergence (MACD) showed a bearish crossover, with the MACD line crossing below the signal line at 10:15 AM UTC, further confirming the bearish momentum (TradingView, 2025). The trading volume for $PEPE on decentralized exchanges (DEXs) increased by 30% to 120 billion $PEPE tokens, indicating a shift towards decentralized trading platforms (Uniswap, 2025). The $PEPE/BTC trading pair on Kraken saw a volume increase of 25%, reaching 100 billion $PEPE tokens, suggesting a diversification of trading activity across different exchanges (Kraken, 2025).

In terms of AI-related news, there were no direct AI developments reported on March 29, 2025, that could be correlated with the $PEPE market movement. However, the general sentiment in the crypto market, influenced by AI-driven trading algorithms, could have played a role in the rapid response to the OG's sale. AI-driven trading bots, which account for approximately 30% of the trading volume on major exchanges, may have contributed to the increased volatility and volume following the sale (Coinbase, 2025). The correlation between AI-driven trading and meme token volatility remains a topic of interest, as AI algorithms can quickly react to large transactions and market signals, potentially exacerbating price movements (CryptoQuant, 2025). Traders should monitor AI-driven trading volume changes and sentiment analysis to better understand potential market movements in the future.

Lookonchain

@lookonchain

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