feat: technical, news, and social analysis agents

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

tests/test_social_agent.py

@@ -0,0 +1,19 @@
+import pytest
+from agents.social import SocialAgent
+
+def test_score_bullish_social():
+    agent = SocialAgent()
+    sentiment = {"positive": 8, "negative": 1, "neutral": 1, "total": 10}
+    score = agent.analyze(sentiment, mention_trend=2.5)
+    assert score >= 70
+
+def test_score_bearish_social():
+    agent = SocialAgent()
+    sentiment = {"positive": 1, "negative": 8, "neutral": 1, "total": 10}
+    score = agent.analyze(sentiment, mention_trend=0.5)
+    assert score <= 35
+
+def test_no_data_returns_50():
+    agent = SocialAgent()
+    score = agent.analyze({"positive": 0, "negative": 0, "neutral": 0, "total": 0}, 1.0)
+    assert score == 50