This MCP trader server, developed by Seth Hobson, provides technical analysis capabilities for stock traders. It integrates with the Tiingo API to fetch financial data and leverages libraries like pandas and TA-Lib to perform comprehensive technical analysis on stocks. The server offers a single 'analyze-stock' tool that takes a stock symbol and returns key technical indicators including moving averages, momentum oscillators, and volume metrics. Built with Python and designed to run as a local MCP server, it's particularly useful for AI assistants or applications needing to generate detailed technical analysis reports or make data-driven trading recommendations based on current market data.
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Performs technical analysis on a given stock symbol. Required argument: symbol (string, e.g. 'NVDA')
Performs technical analysis on cryptocurrency assets. Required argument: symbol (string, e.g. 'BTC'). Optional arguments: provider (string), lookback_days (integer), quote_currency (string).
Calculates a stock's relative strength compared to a benchmark. Required argument: symbol (string, e.g. 'AAPL'). Optional argument: benchmark (string).
Analyzes volume distribution by price. Required argument: symbol (string, e.g. 'MSFT'). Optional argument: lookback_days (integer).
Identifies chart patterns in price data. Required argument: symbol (string, e.g. 'AMZN').
Calculates optimal position size based on risk parameters. Required arguments: symbol (string), stop_price (number), risk_amount (number), account_size (number). Optional argument: price (number).
Suggests stop loss levels based on technical analysis. Required argument: symbol (string, e.g. 'META').
