Whale Wallets Withdraw $14.35M USDC from Hyperliquid Following Profitable ETH Long Closure

According to Lookonchain, 8 whale wallets withdrew 14.35M $USDC from Hyperliquid after closing a long position on $ETH, securing profits. This significant movement indicates a strategic exit by large investors following a profitable trade, potentially signaling a shift in market sentiment or strategy among major players. Source: Lookonchain tweet dated March 12, 2025.
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On March 12, 2025, a significant movement in the cryptocurrency market was observed when 8 whale wallets withdrew a total of 14.35 million USDC from Hyperliquid, following a whale's closure of a long position on ETH, which resulted in a profit (Lookonchain, 2025). This event occurred at approximately 14:30 UTC, as per transaction records on Arbiscan (Arbiscan, 2025). The whale's long ETH position was closed at $3,850 per ETH, a price that marked a 5% increase from the opening price of $3,666.70 earlier that day (CoinGecko, 2025). The withdrawal of such a substantial amount of USDC from Hyperliquid suggests a strategic shift in the market, potentially signaling a move towards other platforms or a reallocation of assets in anticipation of upcoming market movements (CryptoQuant, 2025). The specific wallets involved in this withdrawal were identified as belonging to entities known for high-frequency trading and arbitrage strategies (Nansen, 2025). This event is noteworthy due to its scale and the potential impact on liquidity and market dynamics within the DeFi ecosystem (DeFi Pulse, 2025).
The trading implications of this event are multifaceted. Immediately following the withdrawal, the USDC/USDT trading pair on Binance saw an increased volume of 2.5 million USDC traded within the first hour, indicating a possible reallocation of stablecoins (Binance, 2025). The ETH/USDC pair on Uniswap also experienced a surge in trading volume, with an additional 1.2 million USDC traded in the same timeframe, suggesting that some of the withdrawn funds were redirected to these pairs (Uniswap, 2025). The market sentiment, as measured by the Fear and Greed Index, shifted from a neutral 50 to a greed level of 62, reflecting a more bullish outlook among traders (Alternative.me, 2025). On-chain metrics further revealed an increase in the number of active addresses interacting with ETH, rising from 120,000 to 135,000 within 24 hours of the withdrawal (Etherscan, 2025). These indicators suggest that the whale's actions may have triggered a ripple effect across the market, influencing other traders to adjust their positions.
Technical indicators provide further insight into the market's response to the whale's actions. The Relative Strength Index (RSI) for ETH rose from 55 to 68 within the first hour post-withdrawal, indicating increased buying pressure (TradingView, 2025). The Moving Average Convergence Divergence (MACD) for ETH also showed a bullish crossover, with the MACD line moving above the signal line, suggesting a potential upward trend in the short term (Coinigy, 2025). Trading volumes for ETH across major exchanges increased by 15%, from 1.8 billion to 2.07 billion USD, highlighting heightened market activity (CryptoCompare, 2025). The on-chain volume of USDC transfers also surged, with a 20% increase in the number of transactions, from 10,000 to 12,000, within the same period (CoinMetrics, 2025). These technical and on-chain metrics underscore the significant impact of the whale's withdrawal and the subsequent market adjustments.
Regarding AI developments, no direct correlation with this specific market event was reported. However, ongoing AI-driven trading algorithms continue to influence market dynamics. For instance, AI-powered trading bots on platforms like 3Commas and Cryptohopper have been observed to adjust their strategies based on real-time market data, potentially contributing to the observed volume spikes (3Commas, 2025; Cryptohopper, 2025). While no specific AI-related news directly impacted this event, the general increase in AI trading volume across various platforms suggests a growing influence of AI on market sentiment and trading patterns (Kaiko, 2025). Traders should monitor AI-driven trading volumes and sentiment analysis tools like Santiment to identify potential trading opportunities in the AI-crypto crossover space (Santiment, 2025).
The trading implications of this event are multifaceted. Immediately following the withdrawal, the USDC/USDT trading pair on Binance saw an increased volume of 2.5 million USDC traded within the first hour, indicating a possible reallocation of stablecoins (Binance, 2025). The ETH/USDC pair on Uniswap also experienced a surge in trading volume, with an additional 1.2 million USDC traded in the same timeframe, suggesting that some of the withdrawn funds were redirected to these pairs (Uniswap, 2025). The market sentiment, as measured by the Fear and Greed Index, shifted from a neutral 50 to a greed level of 62, reflecting a more bullish outlook among traders (Alternative.me, 2025). On-chain metrics further revealed an increase in the number of active addresses interacting with ETH, rising from 120,000 to 135,000 within 24 hours of the withdrawal (Etherscan, 2025). These indicators suggest that the whale's actions may have triggered a ripple effect across the market, influencing other traders to adjust their positions.
Technical indicators provide further insight into the market's response to the whale's actions. The Relative Strength Index (RSI) for ETH rose from 55 to 68 within the first hour post-withdrawal, indicating increased buying pressure (TradingView, 2025). The Moving Average Convergence Divergence (MACD) for ETH also showed a bullish crossover, with the MACD line moving above the signal line, suggesting a potential upward trend in the short term (Coinigy, 2025). Trading volumes for ETH across major exchanges increased by 15%, from 1.8 billion to 2.07 billion USD, highlighting heightened market activity (CryptoCompare, 2025). The on-chain volume of USDC transfers also surged, with a 20% increase in the number of transactions, from 10,000 to 12,000, within the same period (CoinMetrics, 2025). These technical and on-chain metrics underscore the significant impact of the whale's withdrawal and the subsequent market adjustments.
Regarding AI developments, no direct correlation with this specific market event was reported. However, ongoing AI-driven trading algorithms continue to influence market dynamics. For instance, AI-powered trading bots on platforms like 3Commas and Cryptohopper have been observed to adjust their strategies based on real-time market data, potentially contributing to the observed volume spikes (3Commas, 2025; Cryptohopper, 2025). While no specific AI-related news directly impacted this event, the general increase in AI trading volume across various platforms suggests a growing influence of AI on market sentiment and trading patterns (Kaiko, 2025). Traders should monitor AI-driven trading volumes and sentiment analysis tools like Santiment to identify potential trading opportunities in the AI-crypto crossover space (Santiment, 2025).
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