---skill_id: financial_data_fetchername: Financial Data Fetcherversion: 1.0.0description: Fetches real-time and historical market data, financial news, and fundamental data for trading decisionsauthor: Trading System CTOtags: [market-data, trading, finance, real-time]tools: dependencies: ---

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",
        "open": 150.25,
        "high": 151.50,
        "low": 149.80,
        "close": 151.00,
        "volume": 5000000
      }
    ]
  }
}

Usage:

python scripts/fetch_data.py get_price_data --symbols AAPL MSFT --timeframe 1Day --limit 30

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:

{
  "success": true,
  "data": [
    {
      "symbol": "AAPL",
      "headline": "Apple announces new product line",
      "summary": "...",
      "source": "Bloomberg",
      "url": "https://...",
      "published_at": "2025-10-30T08:00:00Z",
      "sentiment": "positive"
    }
  ]
}

3. get_fundamentals

Fetches fundamental data for symbols.

Parameters:

• symbols (required): List of ticker symbols
• metrics (optional): Specific metrics to fetch (default: all)

Returns:

{
  "success": true,
  "data": {
    "AAPL": {
      "market_cap": 3000000000000,
      "pe_ratio": 28.5,
      "eps": 6.42,
      "dividend_yield": 0.52,
      "beta": 1.2,
      "52_week_high": 200.00,
      "52_week_low": 120.00
    }
  }
}

4. get_market_snapshot

Gets current market snapshot with real-time quotes.

Parameters:

• symbols (required): List of ticker symbols

Returns:

{
  "success": true,
  "data": {
    "AAPL": {
      "price": 151.00,
      "bid": 150.98,
      "ask": 151.02,
      "bid_size": 100,
      "ask_size": 200,
      "last_trade_time": "2025-10-30T15:59:59Z",
      "volume": 50000000,
      "vwap": 150.75
    }
  }
}

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:

{
  "success": false,
  "error": "Error message",
  "error_code": "INVALID_SYMBOL"
}

Integration Example

from claude_skills import load_skill

skill = load_skill("financial_data_fetcher")

# Get price data
result = skill.get_price_data(
    symbols=["AAPL", "MSFT"],
    timeframe="1Day",
    limit=30
)

if result["success"]:
    prices = result["data"]
    # Use in trading strategy