$ loading_
Build, backtest, and deploy quantitative trading strategies through an AI agent.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "CPZAI" MCP server from askskill: Run: claude mcp add --transport http 'com-cpz-lab-mcp-cpzai' 'https://mcp.cpz-lab.com/mcp'
Researchers or data analysts can hand trading ideas to an AI agent to quickly generate and backtest quantitative strategies. This helps them filter promising ideas more efficiently.
Developers can use it to move validated quantitative strategies into deployment, reducing friction between research and execution. It fits workflows where an AI agent supports the full strategy lifecycle.
When a team wants a single AI workflow for strategy building, backtesting, and deployment, this tool can serve as a unified entry point. It is useful for fast-iterating quantitative strategy workflows.
CPZAI is an MCP tool for building, backtesting, and deploying quantitative trading strategies through an AI agent. It is aimed at research, testing, and execution workflows for quant strategies.
Based on the provided information, its core capabilities are building quantitative trading strategies, running backtests, and deploying strategies. Additional detailed features are not provided.
The provided material does not include installation steps, runtime requirements, or API key configuration details. Please see the source repository for specifics.
Discover indicators, build strategies, run backtests, and analyze results conversationally.
Fetch stock data, run strategy backtests, and generate result reports.
Control trading charts through AI agents for faster market visualization and analysis.
Build, optimize, validate, and export quant strategies through MCP.
Connect AI to Zerodha for orders, holdings, and mutual fund management.
Run tests programmatically, inspect results, and get test strategy recommendations.