AI Agents Accelerate Market Entry: The "iPhone Moment" in Cryptocurrency Trading Is Approaching

BlockBeats News, December 13 — According to CoinDesk, industry insiders point out that machine learning in the crypto trading space has not yet reached a phase of widespread adoption similar to the "iPhone moment," but AI-driven automated trading agents are rapidly approaching this critical point.

With advancements in algorithm customization and reinforcement learning capabilities, the next generation of AI trading models are shifting away from solely pursuing absolute profit and loss (P&L). Instead, they incorporate risk-adjusted metrics such as the Sharpe ratio, maximum drawdown, and value at risk (VaR) to dynamically balance risk and reward across different market conditions.

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

However, the "democratization" of AI trading also raises concerns about whether the alpha advantage will be quickly eroded. Sena pointed out that those who will truly benefit in the long term are still institutional and individual players with resources to develop proprietary and specialized tools. The most promising future form may be an "intelligent portfolio manager" driven by AI but still allowing users to set strategic preferences and risk parameters.