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.
Provides AI agents with institutional-grade quantitative finance tools including real-time market data, paper trading via Alpaca, risk analysis with Monte Carlo simulations, backtesting, and multi-source news sentiment analysis for portfolio management and trading strategy development.
Provides AI agents with a TradingView-centric toolkit for screener queries, historical FX data, pattern scanning, chart rendering, backtesting, Pine tooling, and optional account/desktop integration.
Enables AI assistants to perform cryptocurrency trading analysis and execution with 38+ tools including real-time market data, technical indicators, risk management, and support for both paper trading and live execution on Hyperliquid.
Enables AI agents to propose stock, ETF, and crypto trades through Alpaca paper trading while enforcing deterministic policy rules and recording every decision in an audit trail.
