The updated architecture centers on three proprietary strategies: the AI Stock Picker for pre-market momentum, SwingMax for volume-price relationship models, and a Daytrading Center focused on intraday reversals. By automating the transition from signal to execution, the platform aims to remove the technical friction that often hinders non-professional investors. CEO Chen noted that the goal is to provide institutional-grade execution speed and discipline while maintaining user control over individual trade parameters.

Beyond mirroring, the platform introduces natural-language AI Tasks for personalized market monitoring. Users can issue prompts to track specific portfolio holdings or trigger alerts when technical breakouts occur. This functionality operates alongside the brokerage API connections, allowing for a seamless workflow from scan to trade. While the system simplifies the mechanics of market participation, the company maintains that these tools are for informational purposes, requiring users to independently manage risk and verify liquidity within their existing brokerage environments.