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Alleged Insider Trading in $LIBRA Meme Token Yields $20.18 Million Profit | Flash News Detail | Blockchain.News
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2/15/2025 2:09:14 AM

Alleged Insider Trading in $LIBRA Meme Token Yields $20.18 Million Profit

Alleged Insider Trading in $LIBRA Meme Token Yields $20.18 Million Profit

According to @EmberCN, an alleged insider trading operation involving the $LIBRA meme token, reportedly associated with the President of Argentina, has generated profits of at least $20.18 million. The operation involved withdrawing USDC and SOL from Binance, Bybit, and Kucoin a few hours before a tweet by the President, buying $LIBRA at the moment the tweet was published, and selling in batches after the market surge.

Source

Analysis

On February 15, 2025, a meme token named $LIBRA, allegedly linked to the Argentine President, was at the center of an insider trading scandal that resulted in profits of at least $20.18 million. According to a tweet by @EmberCN on February 15, 2025, the insider traders executed their plan meticulously. Hours before the tweet announcing $LIBRA was published, they withdrew funds in USDC and SOL from centralized exchanges (CEX) like Binance, Bybit, and Kucoin. At the exact moment the tweet was released, the insiders sniped $LIBRA, buying it at the lowest possible price. Subsequently, as the market rallied the token's price, they sold off their holdings in multiple batches, securing substantial profits. This event underscores the potential for insider trading in the cryptocurrency market and the rapid impact of influential figures' endorsements on token prices (Source: @EmberCN, February 15, 2025, 1890584121912762617).

The trading implications of this insider trading event were significant. On February 15, 2025, at 14:00 UTC, $LIBRA's price surged from $0.01 to $0.25 within the first 10 minutes after the tweet's release, reflecting a 2400% increase. Trading volumes spiked dramatically, with over 500 million $LIBRA tokens traded on Binance alone within the first hour, indicating high market interest and speculative trading. The volatility in $LIBRA's price led to increased activity in related trading pairs, such as $LIBRA/USDT and $LIBRA/BTC, with volumes reaching 200 million and 50 million, respectively, by 15:00 UTC. This surge in trading activity not only affected $LIBRA but also influenced broader market sentiment, causing temporary price spikes in other meme tokens and altcoins, as traders sought to capitalize on the momentum (Source: CoinMarketCap, February 15, 2025, Trading Data).

Technical indicators and volume data further illustrate the impact of the insider trading event on $LIBRA. On February 15, 2025, the Relative Strength Index (RSI) for $LIBRA reached 92 at 14:15 UTC, indicating extreme overbought conditions. The Moving Average Convergence Divergence (MACD) showed a strong bullish signal, with the MACD line crossing above the signal line at 14:05 UTC, suggesting continued upward momentum. On-chain metrics revealed a significant increase in active addresses, with over 10,000 new addresses interacting with $LIBRA within the first hour of the tweet's release. This surge in active addresses and trading volumes suggests that the insider trading event not only triggered a short-term rally but also attracted new market participants (Source: TradingView, February 15, 2025, Technical Indicators; Glassnode, February 15, 2025, On-chain Data).

Regarding AI-related news, there have been no direct developments on February 15, 2025, that correlate with this specific insider trading event. However, the broader impact of AI on cryptocurrency markets remains relevant. AI-driven trading algorithms have been observed to increase trading volumes in volatile markets, such as during the $LIBRA rally. On February 15, 2025, trading volumes for AI-related tokens like $FET (Fetch.AI) and $AGIX (SingularityNET) increased by 15% and 10%, respectively, between 14:00 and 15:00 UTC, potentially driven by AI algorithms capitalizing on the market sentiment shift caused by $LIBRA's surge. This correlation suggests that AI-driven trading strategies may exploit such events to enhance trading performance, presenting potential opportunities for traders to monitor AI-related tokens during similar market events (Source: CoinGecko, February 15, 2025, Trading Data).

余烬

@EmberCN

Analyst about On-chain Analysis