financial-data-fetcher

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:

{
  "success": true,
  "data": {
    "AAPL": [
      {
        "timestamp": "2025-10-30T09:30:00Z"

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