feat: technical, news, and social analysis agents

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

tests/test_news_agent.py

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+import pytest
+from agents.news import NewsAgent
+
+def test_score_positive_news():
+    agent = NewsAgent()
+    articles = [
+        {"title": "Bitcoin surges 10%", "sentiment_votes": {"positive": 10, "negative": 1}},
+        {"title": "BTC adoption grows", "sentiment_votes": {"positive": 8, "negative": 2}},
+        {"title": "Bitcoin rally continues", "sentiment_votes": {"positive": 15, "negative": 0}},
+    ]
+    score = agent.analyze(articles)
+    assert score >= 70
+
+def test_score_negative_news():
+    agent = NewsAgent()
+    articles = [
+        {"title": "Bitcoin crashes hard", "sentiment_votes": {"positive": 1, "negative": 10}},
+        {"title": "Crypto market in fear", "sentiment_votes": {"positive": 0, "negative": 15}},
+    ]
+    score = agent.analyze(articles)
+    assert score <= 35
+
+def test_score_no_news_returns_50():
+    agent = NewsAgent()
+    assert agent.analyze([]) == 50
+
+def test_score_mixed_news():
+    agent = NewsAgent()
+    articles = [{"title": "BTC up", "sentiment_votes": {"positive": 5, "negative": 5}}]
+    score = agent.analyze(articles)
+    assert 40 <= score <= 60