Create sentiment_agent.py

sentiment_agent.py

@@ -0,0 +1,26 @@
+import requests
+from textblob import TextBlob
+
+class SentimentAgent:
+    def run(self, symbol="AAPL"):
+        try:
+            url = f"https://finance.yahoo.com/quote/{symbol}?p={symbol}"
+            r = requests.get(url, timeout=5)
+            text = r.text
+
+            # Simulate headlines from raw HTML (for demo purposes)
+            headlines = [line.strip() for line in text.splitlines() if "news" in line.lower()]
+            headlines = [h for h in headlines if len(h) > 20][:5]
+
+            sentiments = [TextBlob(h).sentiment.polarity for h in headlines]
+            avg_score = sum(sentiments) / len(sentiments) if sentiments else 0.0
+
+            tone = "Positive" if avg_score > 0.1 else "Negative" if avg_score < -0.1 else "Neutral"
+
+            return {
+                "sentiment": tone,
+                "score": round(avg_score, 2)
+            }
+
+        except Exception as e:
+            return {"sentiment": "Unavailable", "score": 0.0}