AI agents are accelerating their entry, and the "iPhone moment" of the crypto trading market is approaching

BlockBeats News, December 13, according to CoinDesk, industry insiders have pointed out that machine learning in the crypto trading sector has not yet reached an "iPhone moment" of widespread adoption, but AI-driven automated trading agents are rapidly approaching this critical point. With improvements in algorithm customization and reinforcement learning capabilities, the new generation of AI trading models no longer simply pursue absolute profit and loss (P&L), but instead introduce risk-adjusted metrics such as Sharpe ratio, maximum drawdown, and Value at Risk (VaR), in order to dynamically balance risk and return in different market environments.

Michael Sena, Chief Marketing Officer of Recall Labs, stated that in several recent AI trading competitions, specially customized and optimized trading agents significantly outperformed general large models, the latter only slightly outperforming the market when executing trades autonomously. The results show that dedicated trading agents, which incorporate additional logic, reasoning, and data sources, are gradually surpassing the base models.

However, the "democratization" of AI trading has also raised concerns about whether alpha opportunities will be quickly exhausted. Sena pointed out that those who can truly benefit in the long term will still be institutions and individuals with the resources to develop private, specialized tools. The most promising form in the future may be an "intelligent portfolio manager" driven by AI, but still allowing users to set strategy preferences and risk parameters.