feat: technical, news, and social analysis agents

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

agents/social.py

@@ -0,0 +1,33 @@
+import logging
+
+logger = logging.getLogger(__name__)
+
+class SocialAgent:
+    def analyze(self, sentiment: dict, mention_trend: float = 1.0) -> float:
+        total = sentiment.get("total", 0)
+        if total == 0:
+            return 50.0
+        try:
+            pos = sentiment.get("positive", 0)
+            ratio = pos / total
+            sentiment_score = ratio * 100
+
+            if mention_trend > 2.0:
+                trend_bonus = 15
+            elif mention_trend > 1.5:
+                trend_bonus = 10
+            elif mention_trend > 1.0:
+                trend_bonus = 5
+            elif mention_trend < 0.5:
+                trend_bonus = -10
+            else:
+                trend_bonus = 0
+
+            if ratio < 0.4 and mention_trend > 1.5:
+                trend_bonus = -15
+
+            score = sentiment_score + trend_bonus
+            return round(max(0, min(100, score)), 1)
+        except Exception as e:
+            logger.error(f"Social analysis error: {e}")
+            return 50.0