AI Agents Accelerate Entry, iPhone Moment Approaching in Cryptocurrency Trading Market

According to CoinDesk, industry insiders point out that the machine learning in the cryptocurrency trading sector has not yet reached a widespread stage similar to the iPhone moment, but AI-driven automated trading agents are rapidly approaching this tipping point. With algorithm customization and enhanced learning capabilities, the new generation of AI trading models are no longer solely pursuing absolute profit and loss (P&L), but are introducing risk-adjusted indicators such as the Sharpe ratio, maximum drawdown, and value at risk (VaR) to dynamically balance risk and return in different market environments.

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

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

Related Articles