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get_stock_price.py

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+"""Stock price lookup tool for financial analysis."""
+
+from datetime import datetime
+from typing import Dict, Union
+
+import yfinance as yf
+
+
+def get_stock_price(ticker: str, days: str = "1d") -> Dict[str, Union[float, str, list, datetime]]:
+    """Retrieve stock price data for a given ticker symbol.
+
+    Args:
+        ticker (str): The stock ticker symbol (e.g., 'AAPL' for Apple Inc.)
+        days (str): Number of days of historical data to fetch (default: 1d).
+            Must be one of: 1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, 5y, 10y, ytd, max
+
+    Returns:
+        Dict[str, Union[float, str, list, datetime]]: Dictionary containing:
+            - prices (list): List of closing prices for requested days
+            - currency (str): The currency of the price (e.g., 'USD')
+            - timestamps (list): List of timestamps for each price
+
+    Raises:
+        ValueError: If the ticker symbol is invalid or data cannot be retrieved
+        ValueError: If days parameter is not one of the allowed values
+
+    Metadata:
+        - version: 0.0.1
+        - author: John Doe
+        - requires_gpu: False
+        - requires_api_key: False
+    """
+    # Validate days parameter
+    valid_days = ["1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max"]
+    if days not in valid_days:
+        raise ValueError(f"'days' must be one of: {valid_days}")
+
+    try:
+        # Get stock data
+        stock = yf.Ticker(ticker)
+
+        # Get historical data using valid period format
+        hist = stock.history(period=days)
+
+        if hist.empty:
+            raise ValueError(f"No data returned for ticker {ticker}")
+
+        return {
+            "prices": hist["Close"].tolist(),
+            "currency": stock.info.get("currency", "USD"),
+            "timestamps": [ts.to_pydatetime() for ts in hist.index],
+        }
+
+    except Exception as e:
+        raise ValueError(f"Failed to retrieve stock price for {ticker}: {str(e)}") from e