MCP server that exposes the Backtest360 backtesting engine API as tools, enabling AI agents to conversationally discover indicators, build and validate strategies, run backtests, and read results.
Enables AI agents to run WorldQuant BRAIN alpha backtests via MCP, supporting expression submission, status tracking, result analysis, and batch resumption.
MCP server for natural-language daily stock/ETF strategy backtesting. It provides constrained tools for strategy specification, data validation, queue-based backtests, and verifiable result artifacts.
MCP server that exposes TradingAgents multi-agent financial research as async tasks, generating research reports and non-executive decisions for LLM hosts without touching trading accounts.
Local-first backtesting engine with built-in overfitting detection (PBO, deflated Sharpe, bootstrap CI, walk-forward) and a native MCP server for AI agents to validate trading strategies.
