According to Lookonchain, a trader who purchased 45 million LAUNCHCOIN at the peak for approximately $828,000 experienced a major loss after panic selling. When LAUNCHCOIN dropped over 90% in value, the trader sold his entire position for only $29,000, locking in an $800,000 loss. However, had he held for three months, the 45 million LAUNCHCOIN would now be worth $8.2 million—resulting in a potential $7.3 million profit. This incident highlights the importance of strategic patience and risk management when trading volatile cryptocurrencies, as rapid market swings can significantly affect portfolio outcomes. Source: Lookonchain (May 13, 2025).

According to Google DeepMind, large language models like Gemini allow robots to solve complex problems and improve operational efficiency over time without the need for retraining for specific jobs (source: Google DeepMind, April 30, 2025). This capability enables automated trading bots to adapt to rapidly changing crypto markets through continuous interaction and learning, potentially reducing latency in decision-making and improving trade execution accuracy. For crypto traders, the integration of Gemini models into automated systems could result in better risk management and more responsive trading strategies, especially in volatile environments.