Enables quant research, strategy generation, backtesting, and paper trading from natural language prompts, integrating with AI agents via an MCP server.
Enables AI-driven quant research by exposing backtesting, portfolio optimization, and performance analytics tools through MCP, allowing iterative strategy refinement with built-in overfitting guardrails.
Enables AI agents to access real-time and historical stock market data for A-shares, Hong Kong, US, and global markets, including quotes, K-lines, fund flows, fundamentals, and board data, via a Python SDK and MCP protocol.
An MCP server that integrates the XTQuant quantitative trading platform with AI assistants, allowing AI to directly access and operate on trading data and functionality.