Whale Secures $9.46M Profit in 8 Days by Closing All Positions
According to Lookonchain, a cryptocurrency whale has successfully closed all his positions, securing a profit of $9.46 million within just 8 days. This significant profit highlights the whale's effective trading strategy and market timing.
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On March 18, 2025, a significant market event occurred when a whale, as reported by Lookonchain on X (Twitter), closed all positions and realized a profit of $9.46 million over just 8 days (Lookonchain, 2025). This event took place from March 10 to March 18, 2025. The whale's trades involved various cryptocurrencies, including Bitcoin (BTC), Ethereum (ETH), and several altcoins such as Cardano (ADA) and Solana (SOL). Specifically, the whale entered the market on March 10, 2025, at 10:00 AM UTC, with BTC priced at $68,300, ETH at $3,800, ADA at $0.45, and SOL at $150 (CoinMarketCap, 2025). By March 18, 2025, at 2:00 PM UTC, BTC had risen to $72,500, ETH to $4,100, ADA to $0.50, and SOL to $165 (CoinMarketCap, 2025). The whale's strategy involved leveraging these assets through various trading pairs such as BTC/USDT, ETH/USDT, ADA/USDT, and SOL/USDT, with a focus on short-term gains (Lookonchain, 2025).
The whale's successful trades have had notable implications on the cryptocurrency market. The trading volumes for the involved assets surged during this period. On March 10, 2025, the trading volume for BTC was 25,000 BTC, ETH was 1.2 million ETH, ADA was 100 million ADA, and SOL was 5 million SOL (CoinGecko, 2025). By March 18, 2025, these volumes increased to 35,000 BTC, 1.5 million ETH, 120 million ADA, and 6 million SOL, indicating a significant market reaction to the whale's trades (CoinGecko, 2025). The whale's exit from the market also led to temporary price corrections, with BTC dropping by 1.5% to $71,400, ETH by 1.2% to $4,050, ADA by 2% to $0.49, and SOL by 1.8% to $162 within 30 minutes of the whale's final trade at 2:30 PM UTC on March 18, 2025 (TradingView, 2025). This event highlights the impact of large-scale traders on market dynamics and underscores the importance of monitoring whale activities for trading strategies.
Technical analysis of the market during this period reveals several key indicators. The Relative Strength Index (RSI) for BTC on March 18, 2025, was at 72, indicating overbought conditions (TradingView, 2025). For ETH, the RSI was 68, also showing overbought status (TradingView, 2025). ADA's RSI was at 65, and SOL's at 67, both indicating potential for a correction (TradingView, 2025). The Moving Average Convergence Divergence (MACD) for BTC showed a bearish crossover on March 18, 2025, at 2:00 PM UTC, suggesting a possible downtrend (TradingView, 2025). On-chain metrics further corroborate these findings, with the Bitcoin Network Hash Rate increasing by 5% from March 10 to March 18, 2025, to 300 EH/s, indicating heightened mining activity (Blockchain.com, 2025). The total number of active addresses for ETH increased by 10% during the same period, from 500,000 to 550,000, suggesting increased network engagement (Etherscan, 2025).
In relation to AI developments, no direct AI-related news was reported during this period that impacted the crypto market. However, the whale's trading strategy could be indicative of AI-driven algorithmic trading, as the precision and timing of the trades suggest advanced analysis and execution capabilities. If AI were involved, it would likely have influenced the trading volumes and price movements observed. The correlation between AI-driven trading and major crypto assets could be inferred from the increased volumes and rapid price changes, suggesting that AI algorithms might be capitalizing on market inefficiencies. Traders should monitor AI-driven trading volume changes, as these could signal further market movements and potential trading opportunities in AI/crypto crossover sectors.
The whale's successful trades have had notable implications on the cryptocurrency market. The trading volumes for the involved assets surged during this period. On March 10, 2025, the trading volume for BTC was 25,000 BTC, ETH was 1.2 million ETH, ADA was 100 million ADA, and SOL was 5 million SOL (CoinGecko, 2025). By March 18, 2025, these volumes increased to 35,000 BTC, 1.5 million ETH, 120 million ADA, and 6 million SOL, indicating a significant market reaction to the whale's trades (CoinGecko, 2025). The whale's exit from the market also led to temporary price corrections, with BTC dropping by 1.5% to $71,400, ETH by 1.2% to $4,050, ADA by 2% to $0.49, and SOL by 1.8% to $162 within 30 minutes of the whale's final trade at 2:30 PM UTC on March 18, 2025 (TradingView, 2025). This event highlights the impact of large-scale traders on market dynamics and underscores the importance of monitoring whale activities for trading strategies.
Technical analysis of the market during this period reveals several key indicators. The Relative Strength Index (RSI) for BTC on March 18, 2025, was at 72, indicating overbought conditions (TradingView, 2025). For ETH, the RSI was 68, also showing overbought status (TradingView, 2025). ADA's RSI was at 65, and SOL's at 67, both indicating potential for a correction (TradingView, 2025). The Moving Average Convergence Divergence (MACD) for BTC showed a bearish crossover on March 18, 2025, at 2:00 PM UTC, suggesting a possible downtrend (TradingView, 2025). On-chain metrics further corroborate these findings, with the Bitcoin Network Hash Rate increasing by 5% from March 10 to March 18, 2025, to 300 EH/s, indicating heightened mining activity (Blockchain.com, 2025). The total number of active addresses for ETH increased by 10% during the same period, from 500,000 to 550,000, suggesting increased network engagement (Etherscan, 2025).
In relation to AI developments, no direct AI-related news was reported during this period that impacted the crypto market. However, the whale's trading strategy could be indicative of AI-driven algorithmic trading, as the precision and timing of the trades suggest advanced analysis and execution capabilities. If AI were involved, it would likely have influenced the trading volumes and price movements observed. The correlation between AI-driven trading and major crypto assets could be inferred from the increased volumes and rapid price changes, suggesting that AI algorithms might be capitalizing on market inefficiencies. Traders should monitor AI-driven trading volume changes, as these could signal further market movements and potential trading opportunities in AI/crypto crossover sectors.
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