Provides AI agents with tools for paper trading stocks, options, ETFs, and bonds, including advanced options strategies and risk analysis, using real market data without financial risk.
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.
Enables AI agents to operate a local financial terminal, including market data, backtesting, paper portfolio management, and news digest, through safe, gated tools over MCP.
A quantitative trading analysis server that enables AI agents to screen stocks, analyze technical indicators, and generate professional candlestick charts. It also provides tools for aggregating financial news and extracting full article text for deep research.
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.