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diff --git a/shared/tests/test_db_news.py b/shared/tests/test_db_news.py
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+++ b/shared/tests/test_db_news.py
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+"""Tests for database news/sentiment methods. Uses in-memory SQLite."""
+
+import json
+import uuid
+import pytest
+from datetime import datetime, date, timezone
+
+from shared.db import Database
+from shared.models import NewsItem, NewsCategory
+from shared.sentiment_models import SymbolScore, MarketSentiment
+
+
+@pytest.fixture
+async def db():
+    database = Database("sqlite+aiosqlite://")
+    await database.connect()
+    yield database
+    await database.close()
+
+
+async def test_insert_and_get_news_items(db):
+    item = NewsItem(
+        source="finnhub",
+        headline="AAPL earnings beat",
+        published_at=datetime(2026, 4, 2, 12, 0, tzinfo=timezone.utc),
+        sentiment=0.8,
+        category=NewsCategory.EARNINGS,
+        symbols=["AAPL"],
+    )
+    await db.insert_news_item(item)
+    items = await db.get_recent_news(hours=24)
+    assert len(items) == 1
+    assert items[0]["headline"] == "AAPL earnings beat"
+
+
+async def test_upsert_symbol_score(db):
+    score = SymbolScore(
+        symbol="AAPL",
+        news_score=0.5,
+        news_count=10,
+        social_score=0.3,
+        policy_score=0.0,
+        filing_score=0.2,
+        composite=0.3,
+        updated_at=datetime(2026, 4, 2, tzinfo=timezone.utc),
+    )
+    await db.upsert_symbol_score(score)
+    scores = await db.get_top_symbol_scores(limit=5)
+    assert len(scores) == 1
+    assert scores[0]["symbol"] == "AAPL"
+
+
+async def test_upsert_market_sentiment(db):
+    ms = MarketSentiment(
+        fear_greed=55,
+        fear_greed_label="Neutral",
+        vix=18.2,
+        fed_stance="neutral",
+        market_regime="neutral",
+        updated_at=datetime(2026, 4, 2, tzinfo=timezone.utc),
+    )
+    await db.upsert_market_sentiment(ms)
+    result = await db.get_latest_market_sentiment()
+    assert result is not None
+    assert result["fear_greed"] == 55
+
+
+async def test_insert_stock_selection(db):
+    await db.insert_stock_selection(
+        trade_date=date(2026, 4, 2),
+        symbol="NVDA",
+        side="BUY",
+        conviction=0.85,
+        reason="CHIPS Act",
+        key_news=["Trump signs CHIPS expansion"],
+        sentiment_snapshot={"composite": 0.8},
+    )
+    selections = await db.get_stock_selections(date(2026, 4, 2))
+    assert len(selections) == 1
+    assert selections[0]["symbol"] == "NVDA"