Enables quant research, strategy generation, backtesting, and paper trading from natural language prompts, integrating with AI agents via an MCP server.
Enables AI assistants to backtest trading strategies described in plain English, providing access to market data, technical indicators, and comprehensive performance reports.
Enables AI assistants to trade stocks directly through natural language by creating and managing bots, executing trades, accessing market data, and backtesting strategies.
Enables AI agents to execute stock trading operations with built-in risk controls and human approval workflows. Supports paper trading simulation, real brokerage integration (Alpaca, Tradier), backtesting, sentiment analysis, and portfolio management while maintaining strict separation between AI intelligence and trade execution.
Enables AI assistants to interact with a complete trading infrastructure, including live futures bots, real market data, backtesting, and copy-trading signals. Supports 503 tools across 20 domains, from market data to order execution, with zero synthetic data.