AQ-Core (AgentQuant Core Intelligence) is the company’s core AI framework connecting data processing, AI model analysis, strategy generation, intelligent execution, and risk management.

AI-Native means artificial intelligence is integrated into the foundation of the system architecture rather than added as an additional module to traditional systems.

AQ-Launch™ is AgentQuant’s intelligent strategy framework designed to explore dynamic strategy matching, allocation mechanisms, and AI-driven quantitative participation models.

DSM is a proprietary strategy matching model that uses AI-driven analysis to evaluate strategy compatibility based on market conditions, strategy characteristics, and participation requirements.

AQ-Prime Allocation™ is a proprietary allocation strategy mechanism designed around strategy capacity, market conditions, and AI-based analysis of potential strategy opportunities.

AgentQuant combines human-defined rules with AI execution through structured risk monitoring, position management, model evaluation, and adaptive risk controls.

AgentQuant is built on an AI-Native architecture, combining multi-dimensional data, intelligent models, multi-timeframe strategies, and human-AI collaborative risk management.

AgentQuant’s 2+4+2 Intelligent AI Model combines two proprietary trading models, four technology systems, and two security foundations to create an integrated AI-Native quantitative framework.

Intelligent Execution Framework connects AI-driven analysis, strategy signals, and execution processes through intelligent order management, market condition evaluation, and execution optimization mechanisms.