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
alpacahq/alpaca-mcp-server
Alpaca MCP Server is a Model Context Protocol (MCP) server implementation designed to interface with Alpaca's Trading API, enabling large language models (LLMs) such as Claude Desktop, Cursor, or VSCode to interact with Alpaca's trading infrastructure using natural language commands in English. This server facilitates a wide range of trading and market data functionalities including stock and options trading, portfolio and watchlist management, and real-time market data access. Key features include real-time market data such as quotes, trades, and price bars for stocks, historical data with flexible timeframes, detailed stock snapshots, and option contract quotes with Greeks. The server supports comprehensive account management capabilities including viewing balances, buying power, account status, and inspecting open and closed positions. Position management allows users to get detailed information on holdings and liquidate positions partially or fully. Order management is robust, supporting stock, crypto, and option orders with various order types like market, limit, stop, stop-limit, and trailing-stop orders. Users can cancel orders individually or in bulk and retrieve full order histories. Options trading features include searching option contracts by expiration, strike price, and type, placing single-leg or multi-leg strategies, and accessing the latest quotes, Greeks, and implied volatility. Crypto trading is also supported with market, limit, and stop-limit orders, including GTC and IOC time in force, and quantity or notional-based orders. The server provides market status and corporate actions information, including market open status, trading sessions, and corporate announcements like earnings, splits, and dividends. Watchlist management allows creating, updating, and viewing multiple personal watchlists. Asset search functionality enables querying details for stocks, crypto, and other Alpaca-supported assets with filtering options. The server is implemented in Python and can be run locally or remotely with different transport options such as stdio and HTTP. It requires Alpaca API keys for paper or live trading access and integrates seamlessly with MCP clients like Claude Desktop. The project includes detailed setup instructions, environment configuration, and client connection guides, making it accessible for developers and traders to leverage natural language interfaces for trading and market analysis.
https://github.com/alpacahq/alpaca-mcp-server
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