MonteWalk Quantitative Trading
Integrates with financial markets through yfinance, Alpaca paper trading, and CoinGecko APIs to provide market data analysis, portfolio optimization, backtesting, and risk management tools for quantitative trading research and algorithmic strategy development
About
MonteWalk is a quantitative trading MCP server built with FastMCP by Mario Caleb Adache that provides comprehensive financial analysis and paper trading capabilities. It integrates with yfinance for market data, Alpaca's paper trading API for virtual trading operations, CoinGecko for cryptocurrency data, and multiple news sources for sentiment analysis. The implementation offers 25 tools spanning market data retrieval, technical analysis, risk management (including Monte Carlo simulations and Value-at-Risk calculations), portfolio optimization, backtesting with walk-forward analysis, and news sentiment analysis. It features robust risk controls, automatic watchlist synchronization with portfolio holdings, and intelligent prompts for morning briefings and ticker analysis workflows. Ideal for algorithmic trading research, portfolio management education, and financial analysis without real capital risk.
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