Enables quant research, strategy generation, backtesting, and paper trading from natural language prompts, integrating with AI agents via an MCP server.
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.
An MCP server that exposes trading analytics — technical indicators, portfolio state, risk metrics, and backtest results — as tools an LLM agent can call.
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 and CLI for trading stocks, ETFs, and crypto via Alpaca, enabling natural language trading through AI assistants and terminal with paper trading defaults.