Enables AI agents to run a full quant research workflow over MCP: pulling data, authoring and backtesting strategies, running statistical validation and risk checks, and recording findings for future sessions.
Enables AI assistants to directly access quant research knowledge, including factor libraries, strategy backtesting, and research reports, through the MCP protocol.
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.
Enables AI agents to access Chinese financial market data and investment research through 177 tools, covering stocks, industries, macroeconomics, economic cycles, commodities, crypto, funds, and asset allocation.
Enables quant research, strategy generation, backtesting, and paper trading from natural language prompts, integrating with AI agents via an MCP server.