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Stock Analyzer (Tingo)

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Summary

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.

Available Actions(7)

analyze-stock

Performs technical analysis on a given stock symbol. Required argument: symbol (string, e.g. 'NVDA'). Returns comprehensive technical analysis including moving average trends, momentum indicators, volatility metrics, and volume analysis.

analyze-crypto

Performs technical analysis on cryptocurrency assets. Required argument: symbol (string, e.g. 'BTC', 'ETH'). Optional arguments include provider (string), lookback_days (integer), and quote_currency (string). Returns comprehensive technical analysis including all stock indicators plus crypto-specific metrics.

relative-strength

Calculates a stock's relative strength compared to a benchmark. Required argument: symbol (string, e.g. 'AAPL'). Optional argument: benchmark (string). Returns relative strength metrics across multiple timeframes.

volume-profile

Analyzes volume distribution by price. Required argument: symbol (string, e.g. 'MSFT'). Optional argument: lookback_days (integer). Returns volume profile analysis including Point of Control (POC) and Value Area.

detect-patterns

Identifies chart patterns in price data. Required argument: symbol (string, e.g. 'AMZN'). Returns detected chart patterns with confidence levels and price targets.

position-size

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). Returns recommended position size and R-multiple profit targets.

suggest-stops

Suggests stop loss levels based on technical analysis. Required argument: symbol (string, e.g. 'META'). Returns multiple stop loss suggestions based on ATR, percentages, and technical levels.

Last Updated: May 16, 2025

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