Update tools/stock_price_tool.py

tools/stock_price_tool.py

@@ -40,6 +40,40 @@ class StockPriceTool(Tool):
             # If there's an error, log it and return None
             print(f"Error fetching price for {ticker_symbol}: {str(e)}")
             return None
-            
+
     def __init__(self, *args, **kwargs):
-        self.is_initialized = False
+        self.is_initialized = False
+
+    def forward_stage(self, ticker_symbol: str) -> Optional[Any]:
+        """
+        Forward stage to handle further analysis or additional steps after fetching the stock price.
+        Args:
+            ticker_symbol (str): The stock ticker symbol.
+        Returns:
+            Any: Additional stock analysis or further actions based on the stock data.
+        Example:
+            >>> StockPriceTool().forward_stage("AAPL")
+            {"price": 150.25, "price_change": -0.5}
+        """
+        # Fetch the current stock price
+        current_price = self._call(ticker_symbol)
+        
+        if current_price is None:
+            return {"error": f"Unable to fetch data for {ticker_symbol}"}
+
+        # For forward analysis, we can fetch historical data for further insights
+        stock = yf.Ticker(ticker_symbol)
+        stock_data = stock.history(period="5d")  # Fetch last 5 days of stock data
+        
+        if stock_data.empty:
+            return {"error": f"No historical data available for {ticker_symbol}"}
+
+        # Calculate the price change over the last 5 days
+        price_change = current_price - stock_data['Close'].iloc[-2]
+        price_change_percent = (price_change / stock_data['Close'].iloc[-2]) * 100
+
+        return {
+            "price": current_price,
+            "price_change": price_change,
+            "price_change_percent": price_change_percent
+        }