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Fetches real-time and historical market data, financial news, and fundamental data for trading decisions
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
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| skill_id | financial_data_fetcher |
| name | Financial Data Fetcher |
| version | 1.0.0 |
| description | Fetches real-time and historical market data, financial news, and fundamental data for trading decisions |
| author | Trading System CTO |
| tags | ["market-data","trading","finance","real-time"] |
| tools | ["get_price_data","get_latest_news","get_fundamentals","get_market_snapshot"] |
| dependencies | ["alpaca-trade-api","yfinance","requests","python-dotenv"] |
Provides comprehensive market data access for AI trading agents.
This skill fetches:
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 formatend_date (optional): End date in YYYY-MM-DD formatlimit (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
Fetches recent financial news for symbols.
Parameters:
symbols (required): List of ticker symbolslimit (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"
}
]
}
Fetches fundamental data for symbols.
Parameters:
symbols (required): List of ticker symbolsmetrics (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
}
}
}
Gets current market snapshot with real-time quotes.
Parameters:
symbols (required): List of ticker symbolsReturns:
{
"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
}
}
}
See scripts/fetch_data.py for full implementation using Alpaca API and yfinance.
All tools return consistent error format:
{
"success": false,
"error": "Error message",
"error_code": "INVALID_SYMBOL"
}
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