HKUDS/Vibe-Trading
Vibe-Trading is an AI-powered personal trading agent designed to assist with algorithmic trading, backtesting, and quantitative finance, leveraging large language models and multi-agent systems.
Awesome MCP › Finance & Trading
wshobson/mcp-trader
MCP Trader is a Model Context Protocol (MCP) server designed to provide advanced technical analysis and trading tools for stock and cryptocurrency traders. It offers a simplified and optimized platform for learning and practical use, featuring a clear code structure and minimal configuration requirements. The server supports a variety of technical analysis tools including moving average trends, momentum indicators like RSI and MACD, volatility metrics such as ATR and ADRP, and volume analysis. It also includes specialized tools for cryptocurrency analysis with support for multiple data providers like Tiingo and Binance. Key features include the ability to analyze stocks and cryptocurrencies, calculate relative strength against benchmarks, analyze volume profiles, detect chart patterns with confidence levels and price targets, and calculate optimal position sizes based on risk parameters. Additionally, it suggests stop loss levels based on technical analysis to help manage risk effectively. The server supports FastMCP resources for direct market data access, providing endpoints for current and historical stock and crypto prices, as well as cache management. Data is sourced primarily from the Tiingo API for stocks and both Tiingo and Binance APIs for cryptocurrencies. Setup requires Python 3.11+, the uv package manager, and API keys for Tiingo and optionally Binance. The project includes comprehensive documentation for installation, configuration, running the server in various modes including Docker deployment, and running tests with good coverage. It also integrates with the Claude Desktop app for easy interaction. The project structure is well-organized with separate modules for server logic, configuration, data providers, technical indicators, and tests. Core dependencies include aiohttp, fastmcp, numpy, pandas, pandas-ta, and python-dotenv, with optional support for ta-lib for enhanced performance. Overall, MCP Trader is a robust and educational MCP server tailored for traders seeking detailed technical analysis and risk management tools within the Model Context Protocol ecosystem.
https://github.com/wshobson/mcp-trader
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