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According to BlockBeats, industry insiders point out that machine learning in the field of cryptocurrency trading has not yet achieved widespread adoption, but AI-driven automated trading agents are rapidly approaching this critical point. The new generation of AI trading models introduces metrics such as the Sharpe ratio, maximum drawdown, and value at risk to dynamically balance risk and reward.

Michael Sena, Chief Marketing Officer of Recall Labs, stated that specialized trading agents perform better than general large models in AI trading competitions. The democratization of AI trading raises concerns about the depletion of Alpha advantages, and the long-term beneficiaries will be institutions and individuals with the resources to develop specialized tools. In the future, AI-driven intelligent portfolio managers may emerge.