Fetches real-time and historical market data, financial news, and fundamental data for trading decisions

Financial Data Fetcher Skill Provides comprehensive market data access for AI trading agents. Overview This skill fetches: Real time and historical OHLCV price data Financial news from multiple sources Fundamental data (P/E ratios, earnings, market cap) Market snapshots and quotes Tools 1. get price data Fetches historical or real time price data for symbols. Parameters: symbols (required): List of ticker symbols (e.g., ["AAPL", "MSFT"]) timeframe (optional): "1Min", "5Min", "1Hour", "1Day" (default: "1Day") start date (optional): Start date in YYYY MM DD format end date (optional): End date in YYYY MM DD format limit (optional): Number of bars to fetch (default: 100) Returns: Usage: 2. get latest news Fetches recent financial news for symbols. Parameters: symbols (required): List of ticker symbols limit (optional): Number of news items (default: 10) sources (optional): News sources to query (default: all) Returns: 3. get fundamentals Fetches fundamental data for symbols. Parameters: symbols (required): List of ticker symbols metrics (optional): Specific metrics to fetch (default: all) Returns: 4. get market snapshot Gets current market snapshot with real time quotes. Parameters: symbols (required): List of ticker symbols Returns: Implementation See scripts/fetch data.py for full implementation using Alpaca API and yfinance. Rate Limiting Alpaca API: 200 requests/minute News API: 25 requests/day (free tier) Caching: 5 minute cache for real time data Error Handling All tools return consistent error format: Integration Example